轻量级车牌识别.md



<!DOCTYPE html>
<html lang="en" data-color-mode="auto" data-light-theme="light" data-dark-theme="dark" data-a11y-animated-images="system">
  <head>
    <meta charset="utf-8">
  <link rel="dns-prefetch" href="https://github.githubassets.com">
  <link rel="dns-prefetch" href="https://avatars.githubusercontent.com">
  <link rel="dns-prefetch" href="https://github-cloud.s3.amazonaws.com">
  <link rel="dns-prefetch" href="https://user-images.githubusercontent.com/">
  <link rel="preconnect" href="https://github.githubassets.com" crossorigin>
  <link rel="preconnect" href="https://avatars.githubusercontent.com">


  <link crossorigin="anonymous" media="all" integrity="sha512-ksfTgQOOnE+FFXf+yNfVjKSlEckJAdufFIYGK7ZjRhWcZgzAGcmZqqArTgMLpu90FwthqcCX4ldDgKXbmVMeuQ==" rel="stylesheet" href="https://github.githubassets.com/assets/light-92c7d381038e.css" /><link crossorigin="anonymous" media="all" integrity="sha512-1KkMNn8M/al/dtzBLupRwkIOgnA9MWkm8oxS+solP87jByEvY/g4BmoxLihRogKcX1obPnf4Yp7dI0ZTWO+ljg==" rel="stylesheet" href="https://github.githubassets.com/assets/dark-d4a90c367f0c.css" /><link data-color-theme="dark_dimmed" crossorigin="anonymous" media="all" integrity="sha512-cZa7DZqvMBwD236uzEunO/G1dvw8/QftyT2UtLWKQFEy0z0eq0R5WPwqVME+3NSZG1YaLJAaIqtU+m0zWf/6SQ==" rel="stylesheet" data-href="https://github.githubassets.com/assets/dark_dimmed-7196bb0d9aaf.css" /><link data-color-theme="dark_high_contrast" crossorigin="anonymous" media="all" integrity="sha512-WVoKqJ4y1nLsdNH4RkRT5qrM9+n9RFe1RHSiTnQkBf5TSZkJEc9GpLpTIS7T15EQaUQBJ8BwmKvwFPVqfpTEIQ==" rel="stylesheet" data-href="https://github.githubassets.com/assets/dark_high_contrast-595a0aa89e32.css" /><link data-color-theme="dark_colorblind" crossorigin="anonymous" media="all" integrity="sha512-XpAMBMSRZ6RTXgepS8LjKiOeNK3BilRbv8qEiA/M3m+Q4GoqxtHedOI5BAZRikCzfBL4KWYvVzYZSZ8Gp/UnUg==" rel="stylesheet" data-href="https://github.githubassets.com/assets/dark_colorblind-5e900c04c491.css" /><link data-color-theme="light_colorblind" crossorigin="anonymous" media="all" integrity="sha512-3HF2HZ4LgEIQm77yOzoeR20CX1n2cUQlcywscqF4s+5iplolajiHV7E5ranBwkX65jN9TNciHEVSYebQ+8xxEw==" rel="stylesheet" data-href="https://github.githubassets.com/assets/light_colorblind-dc71761d9e0b.css" /><link data-color-theme="light_high_contrast" crossorigin="anonymous" media="all" integrity="sha512-+J8j3T0kbK9/sL3zbkCfPtgYcRD4qQfRbT6xnfOrOTjvz4zhr0M7AXPuE642PpaxGhHs1t77cTtieW9hI2K6Gw==" rel="stylesheet" data-href="https://github.githubassets.com/assets/light_high_contrast-f89f23dd3d24.css" /><link data-color-theme="light_tritanopia" crossorigin="anonymous" media="all" integrity="sha512-AQeAx5wHQAXNf0DmkvVlHYwA3f6BkxunWTI0GGaRN57GqD+H9tW8RKIKlopLS0qGaC54seFsPc601GDlqIuuHg==" rel="stylesheet" data-href="https://github.githubassets.com/assets/light_tritanopia-010780c79c07.css" /><link data-color-theme="dark_tritanopia" crossorigin="anonymous" media="all" integrity="sha512-+u5pmgAE0T03d/yI6Ha0NWwz6Pk0W6S6WEfIt8veDVdK8NTjcMbZmQB9XUCkDlrBoAKkABva8HuGJ+SzEpV1Uw==" rel="stylesheet" data-href="https://github.githubassets.com/assets/dark_tritanopia-faee699a0004.css" />

    <link crossorigin="anonymous" media="all" integrity="sha512-EAhBCLIJ/pXHG3Y6yQhs9s53SHV80sjJ+yCwlQtfv7LaVkD+VoEuZBZ5betQJFUNj/5qBSfZk5GFtazEDzWLAg==" rel="stylesheet" href="https://github.githubassets.com/assets/primer-10084108b209.css" />
    <link crossorigin="anonymous" media="all" integrity="sha512-4cUFwwYgpnyRoJKr15lavpQFa6HaoGIW6sap6JXLP9cQ33dOLfadeyjfJypUJ8GfE8MnAfdfvcNZlgn7oZ70PA==" rel="stylesheet" href="https://github.githubassets.com/assets/global-e1c505c30620.css" />
    <link crossorigin="anonymous" media="all" integrity="sha512-ZkqzH/tvOPQgSkHnN9TlzL/abuPzgfV2KLooWN2Xq+jrP7VFzNKd0dib2+zSde1277kCzr5gp1piayo6AthIsQ==" rel="stylesheet" href="https://github.githubassets.com/assets/github-664ab31ffb6f.css" />
  <link crossorigin="anonymous" media="all" integrity="sha512-PXtwH8brj9qH7LskWA0iAMLw4Wx3RXN7txSxjlqdzQEalZKu3UcsQ+ajfHJMDkYDA2iWL1FIrf2zyLflA5Xu7A==" rel="stylesheet" href="https://github.githubassets.com/assets/code-3d7b701fc6eb.css" />

    <meta name="optimizely-datafile" content="{&quot;groups&quot;: [], &quot;environmentKey&quot;: &quot;production&quot;, &quot;rollouts&quot;: [], &quot;typedAudiences&quot;: [], &quot;projectId&quot;: &quot;16737760170&quot;, &quot;variables&quot;: [], &quot;featureFlags&quot;: [], &quot;experiments&quot;: [{&quot;status&quot;: &quot;Running&quot;, &quot;audienceIds&quot;: [], &quot;variations&quot;: [{&quot;variables&quot;: [], &quot;id&quot;: &quot;20667381018&quot;, &quot;key&quot;: &quot;control&quot;}, {&quot;variables&quot;: [], &quot;id&quot;: &quot;20680930759&quot;, &quot;key&quot;: &quot;treatment&quot;}], &quot;id&quot;: &quot;20652570897&quot;, &quot;key&quot;: &quot;project_genesis&quot;, &quot;layerId&quot;: &quot;20672300363&quot;, &quot;trafficAllocation&quot;: [{&quot;entityId&quot;: &quot;20667381018&quot;, &quot;endOfRange&quot;: 5000}, {&quot;entityId&quot;: &quot;20680930759&quot;, &quot;endOfRange&quot;: 10000}], &quot;forcedVariations&quot;: {&quot;83356e17066d336d1803024138ecb683&quot;: &quot;treatment&quot;, &quot;18e31c8a9b2271332466133162a4aa0d&quot;: &quot;treatment&quot;, &quot;10f8ab3fbc5ebe989a36a05f79d48f32&quot;: &quot;treatment&quot;, &quot;1686089f6d540cd2deeaec60ee43ecf7&quot;: &quot;treatment&quot;}}, {&quot;status&quot;: &quot;Running&quot;, &quot;audienceIds&quot;: [], &quot;variations&quot;: [{&quot;variables&quot;: [], &quot;id&quot;: &quot;21427950901&quot;, &quot;key&quot;: &quot;control&quot;}, {&quot;variables&quot;: [], &quot;id&quot;: &quot;21429710665&quot;, &quot;key&quot;: &quot;beginner&quot;}, {&quot;variables&quot;: [], &quot;id&quot;: &quot;21437291543&quot;, &quot;key&quot;: &quot;upstart&quot;}], &quot;id&quot;: &quot;21445030708&quot;, &quot;key&quot;: &quot;_259_zero_user_dashboard&quot;, &quot;layerId&quot;: &quot;21434011841&quot;, &quot;trafficAllocation&quot;: [{&quot;entityId&quot;: &quot;21427950901&quot;, &quot;endOfRange&quot;: 3334}, {&quot;entityId&quot;: &quot;21427950901&quot;, &quot;endOfRange&quot;: 5000}, {&quot;entityId&quot;: &quot;21427950901&quot;, &quot;endOfRange&quot;: 8333}, {&quot;entityId&quot;: &quot;21427950901&quot;, &quot;endOfRange&quot;: 10000}], &quot;forcedVariations&quot;: {&quot;3c64268131793aa297119a343c19e345&quot;: &quot;beginner&quot;, &quot;95b24126db31ea8693c0fe5ea9f53b65&quot;: &quot;beginner&quot;, &quot;086e2abe64e9101112af53b95d2d90b9&quot;: &quot;upstart&quot;, &quot;bae688df9d297afac98e2d254e912ada&quot;: &quot;control&quot;, &quot;6c2cfda7c41396fcc31a4db759a42b94&quot;: &quot;beginner&quot;, &quot;16ed2b4ff7de02663b7c606309695916&quot;: &quot;control&quot;, &quot;1971768911.1635962195&quot;: &quot;beginner&quot;, &quot;830bf802470ec6c9c5800c99d8e57445&quot;: &quot;beginner&quot;}}], &quot;version&quot;: &quot;4&quot;, &quot;audiences&quot;: [{&quot;conditions&quot;: &quot;[\&quot;or\&quot;, {\&quot;match\&quot;: \&quot;exact\&quot;, \&quot;name\&quot;: \&quot;$opt_dummy_attribute\&quot;, \&quot;type\&quot;: \&quot;custom_attribute\&quot;, \&quot;value\&quot;: \&quot;$opt_dummy_value\&quot;}]&quot;, &quot;id&quot;: &quot;$opt_dummy_audience&quot;, &quot;name&quot;: &quot;Optimizely-Generated Audience for Backwards Compatibility&quot;}], &quot;anonymizeIP&quot;: true, &quot;sdkKey&quot;: &quot;WTc6awnGuYDdG98CYRban&quot;, &quot;attributes&quot;: [{&quot;id&quot;: &quot;16822470375&quot;, &quot;key&quot;: &quot;user_id&quot;}, {&quot;id&quot;: &quot;17143601254&quot;, &quot;key&quot;: &quot;spammy&quot;}, {&quot;id&quot;: &quot;18175660309&quot;, &quot;key&quot;: &quot;organization_plan&quot;}, {&quot;id&quot;: &quot;18813001570&quot;, &quot;key&quot;: &quot;is_logged_in&quot;}, {&quot;id&quot;: &quot;19073851829&quot;, &quot;key&quot;: &quot;geo&quot;}, {&quot;id&quot;: &quot;20175462351&quot;, &quot;key&quot;: &quot;requestedCurrency&quot;}, {&quot;id&quot;: &quot;20785470195&quot;, &quot;key&quot;: &quot;country_code&quot;}, {&quot;id&quot;: &quot;21656311196&quot;, &quot;key&quot;: &quot;opened_downgrade_dialog&quot;}], &quot;botFiltering&quot;: false, &quot;accountId&quot;: &quot;16737760170&quot;, &quot;events&quot;: [{&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;17911811441&quot;, &quot;key&quot;: &quot;hydro_click.dashboard.teacher_toolbox_cta&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;18124116703&quot;, &quot;key&quot;: &quot;submit.organizations.complete_sign_up&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;18145892387&quot;, &quot;key&quot;: &quot;no_metric.tracked_outside_of_optimizely&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;18178755568&quot;, &quot;key&quot;: &quot;click.org_onboarding_checklist.add_repo&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;18180553241&quot;, &quot;key&quot;: &quot;submit.repository_imports.create&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;18186103728&quot;, &quot;key&quot;: &quot;click.help.learn_more_about_repository_creation&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;18188530140&quot;, &quot;key&quot;: &quot;test_event&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;18191963644&quot;, &quot;key&quot;: &quot;click.empty_org_repo_cta.transfer_repository&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;18195612788&quot;, &quot;key&quot;: &quot;click.empty_org_repo_cta.import_repository&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;18210945499&quot;, &quot;key&quot;: &quot;click.org_onboarding_checklist.invite_members&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;18211063248&quot;, &quot;key&quot;: &quot;click.empty_org_repo_cta.create_repository&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;18215721889&quot;, &quot;key&quot;: &quot;click.org_onboarding_checklist.update_profile&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;18224360785&quot;, &quot;key&quot;: &quot;click.org_onboarding_checklist.dismiss&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;18234832286&quot;, &quot;key&quot;: &quot;submit.organization_activation.complete&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;18252392383&quot;, &quot;key&quot;: &quot;submit.org_repository.create&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;18257551537&quot;, &quot;key&quot;: &quot;submit.org_member_invitation.create&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;18259522260&quot;, &quot;key&quot;: &quot;submit.organization_profile.update&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;18564603625&quot;, &quot;key&quot;: &quot;view.classroom_select_organization&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;18568612016&quot;, &quot;key&quot;: &quot;click.classroom_sign_in_click&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;18572592540&quot;, &quot;key&quot;: &quot;view.classroom_name&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;18574203855&quot;, &quot;key&quot;: &quot;click.classroom_create_organization&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;18582053415&quot;, &quot;key&quot;: &quot;click.classroom_select_organization&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;18589463420&quot;, &quot;key&quot;: &quot;click.classroom_create_classroom&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;18591323364&quot;, &quot;key&quot;: &quot;click.classroom_create_first_classroom&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;18591652321&quot;, &quot;key&quot;: &quot;click.classroom_grant_access&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;18607131425&quot;, &quot;key&quot;: &quot;view.classroom_creation&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;18831680583&quot;, &quot;key&quot;: &quot;upgrade_account_plan&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;19064064515&quot;, &quot;key&quot;: &quot;click.signup&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;19075373687&quot;, &quot;key&quot;: &quot;click.view_account_billing_page&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;19077355841&quot;, &quot;key&quot;: &quot;click.dismiss_signup_prompt&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;19079713938&quot;, &quot;key&quot;: &quot;click.contact_sales&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;19120963070&quot;, &quot;key&quot;: &quot;click.compare_account_plans&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;19151690317&quot;, &quot;key&quot;: &quot;click.upgrade_account_cta&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;19424193129&quot;, &quot;key&quot;: &quot;click.open_account_switcher&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;19520330825&quot;, &quot;key&quot;: &quot;click.visit_account_profile&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;19540970635&quot;, &quot;key&quot;: &quot;click.switch_account_context&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;19730198868&quot;, &quot;key&quot;: &quot;submit.homepage_signup&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;19820830627&quot;, &quot;key&quot;: &quot;click.homepage_signup&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;19988571001&quot;, &quot;key&quot;: &quot;click.create_enterprise_trial&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20036538294&quot;, &quot;key&quot;: &quot;click.create_organization_team&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20040653299&quot;, &quot;key&quot;: &quot;click.input_enterprise_trial_form&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20062030003&quot;, &quot;key&quot;: &quot;click.continue_with_team&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20068947153&quot;, &quot;key&quot;: &quot;click.create_organization_free&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20086636658&quot;, &quot;key&quot;: &quot;click.signup_continue.username&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20091648988&quot;, &quot;key&quot;: &quot;click.signup_continue.create_account&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20103637615&quot;, &quot;key&quot;: &quot;click.signup_continue.email&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20111574253&quot;, &quot;key&quot;: &quot;click.signup_continue.password&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20120044111&quot;, &quot;key&quot;: &quot;view.pricing_page&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20152062109&quot;, &quot;key&quot;: &quot;submit.create_account&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20165800992&quot;, &quot;key&quot;: &quot;submit.upgrade_payment_form&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20171520319&quot;, &quot;key&quot;: &quot;submit.create_organization&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20222645674&quot;, &quot;key&quot;: &quot;click.recommended_plan_in_signup.discuss_your_needs&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20227443657&quot;, &quot;key&quot;: &quot;submit.verify_primary_user_email&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20234607160&quot;, &quot;key&quot;: &quot;click.recommended_plan_in_signup.try_enterprise&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20238175784&quot;, &quot;key&quot;: &quot;click.recommended_plan_in_signup.team&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20239847212&quot;, &quot;key&quot;: &quot;click.recommended_plan_in_signup.continue_free&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20251097193&quot;, &quot;key&quot;: &quot;recommended_plan&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20438619534&quot;, &quot;key&quot;: &quot;click.pricing_calculator.1_member&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20456699683&quot;, &quot;key&quot;: &quot;click.pricing_calculator.15_members&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20467868331&quot;, &quot;key&quot;: &quot;click.pricing_calculator.10_members&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20476267432&quot;, &quot;key&quot;: &quot;click.trial_days_remaining&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20476357660&quot;, &quot;key&quot;: &quot;click.discover_feature&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20479287901&quot;, &quot;key&quot;: &quot;click.pricing_calculator.custom_members&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20481107083&quot;, &quot;key&quot;: &quot;click.recommended_plan_in_signup.apply_teacher_benefits&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20483089392&quot;, &quot;key&quot;: &quot;click.pricing_calculator.5_members&quot;}, {&quot;experimentIds&quot;: [&quot;20652570897&quot;], &quot;id&quot;: &quot;20484283944&quot;, &quot;key&quot;: &quot;click.onboarding_task&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20484996281&quot;, &quot;key&quot;: &quot;click.recommended_plan_in_signup.apply_student_benefits&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20486713726&quot;, &quot;key&quot;: &quot;click.onboarding_task_breadcrumb&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20490791319&quot;, &quot;key&quot;: &quot;click.upgrade_to_enterprise&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20491786766&quot;, &quot;key&quot;: &quot;click.talk_to_us&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20494144087&quot;, &quot;key&quot;: &quot;click.dismiss_enterprise_trial&quot;}, {&quot;experimentIds&quot;: [&quot;20652570897&quot;], &quot;id&quot;: &quot;20499722759&quot;, &quot;key&quot;: &quot;completed_all_tasks&quot;}, {&quot;experimentIds&quot;: [&quot;20652570897&quot;], &quot;id&quot;: &quot;20500710104&quot;, &quot;key&quot;: &quot;completed_onboarding_tasks&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20513160672&quot;, &quot;key&quot;: &quot;click.read_doc&quot;}, {&quot;experimentIds&quot;: [&quot;20652570897&quot;], &quot;id&quot;: &quot;20516196762&quot;, &quot;key&quot;: &quot;actions_enabled&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20518980986&quot;, &quot;key&quot;: &quot;click.dismiss_trial_banner&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20535446721&quot;, &quot;key&quot;: &quot;click.issue_actions_prompt.dismiss_prompt&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20557002247&quot;, &quot;key&quot;: &quot;click.issue_actions_prompt.setup_workflow&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20595070227&quot;, &quot;key&quot;: &quot;click.pull_request_setup_workflow&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20626600314&quot;, &quot;key&quot;: &quot;click.seats_input&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20642310305&quot;, &quot;key&quot;: &quot;click.decrease_seats_number&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20662990045&quot;, &quot;key&quot;: &quot;click.increase_seats_number&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20679620969&quot;, &quot;key&quot;: &quot;click.public_product_roadmap&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20761240940&quot;, &quot;key&quot;: &quot;click.dismiss_survey_banner&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20767210721&quot;, &quot;key&quot;: &quot;click.take_survey&quot;}, {&quot;experimentIds&quot;: [&quot;20652570897&quot;], &quot;id&quot;: &quot;20795281201&quot;, &quot;key&quot;: &quot;click.archive_list&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20966790249&quot;, &quot;key&quot;: &quot;contact_sales.submit&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20996500333&quot;, &quot;key&quot;: &quot;contact_sales.existing_customer&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;20996890162&quot;, &quot;key&quot;: &quot;contact_sales.blank_message_field&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;21000470317&quot;, &quot;key&quot;: &quot;contact_sales.personal_email&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;21002790172&quot;, &quot;key&quot;: &quot;contact_sales.blank_phone_field&quot;}, {&quot;experimentIds&quot;: [&quot;21445030708&quot;], &quot;id&quot;: &quot;21354412592&quot;, &quot;key&quot;: &quot;click.dismiss_create_readme&quot;}, {&quot;experimentIds&quot;: [&quot;21445030708&quot;], &quot;id&quot;: &quot;21366102546&quot;, &quot;key&quot;: &quot;click.dismiss_zero_user_content&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;21370252505&quot;, &quot;key&quot;: &quot;account_did_downgrade&quot;}, {&quot;experimentIds&quot;: [&quot;21445030708&quot;], &quot;id&quot;: &quot;21370840408&quot;, &quot;key&quot;: &quot;click.cta_create_readme&quot;}, {&quot;experimentIds&quot;: [&quot;21445030708&quot;], &quot;id&quot;: &quot;21375451068&quot;, &quot;key&quot;: &quot;click.cta_create_new_repository&quot;}, {&quot;experimentIds&quot;: [&quot;21445030708&quot;], &quot;id&quot;: &quot;21385390948&quot;, &quot;key&quot;: &quot;click.zero_user_content&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;21467712175&quot;, &quot;key&quot;: &quot;click.downgrade_keep&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;21484112202&quot;, &quot;key&quot;: &quot;click.downgrade&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;21495292213&quot;, &quot;key&quot;: &quot;click.downgrade_survey_exit&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;21508241468&quot;, &quot;key&quot;: &quot;click.downgrade_survey_submit&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;21512030356&quot;, &quot;key&quot;: &quot;click.downgrade_support&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;21539090022&quot;, &quot;key&quot;: &quot;click.downgrade_exit&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;21543640644&quot;, &quot;key&quot;: &quot;click_fetch_upstream&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;21646510300&quot;, &quot;key&quot;: &quot;click.move_your_work&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;21656151116&quot;, &quot;key&quot;: &quot;click.add_branch_protection_rule&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;21663860599&quot;, &quot;key&quot;: &quot;click.downgrade_dialog_open&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;21687860483&quot;, &quot;key&quot;: &quot;click.learn_about_protected_branches&quot;}, {&quot;experimentIds&quot;: [], &quot;id&quot;: &quot;21689050333&quot;, &quot;key&quot;: &quot;click.dismiss_protect_this_branch&quot;}], &quot;revision&quot;: &quot;1288&quot;}" />


  <script crossorigin="anonymous" defer="defer" type="application/javascript" integrity="sha512-IlxrV3fPKJ3H3zXBv8ZNFZA1UGUCcfs482E0tD9JDa8vDF+oIfVC8m5/T6o5u/ccu/oNvjJNPZhYkX02Ao349g==" src="https://github.githubassets.com/assets/runtime-225c6b5777cf.js"></script>
<script crossorigin="anonymous" defer="defer" type="application/javascript" integrity="sha512-XKV1seh7UvAY3d4/PUvi5uHqcCJ9ThVg73aqJM9r8QFid4KRpTHbebXZdhznn39F6fvGFcgvAhTdTrUp/oWL1A==" src="https://github.githubassets.com/assets/environment-5ca575b1e87b.js"></script>
<script crossorigin="anonymous" defer="defer" type="application/javascript" integrity="sha512-io+1MvgXPXTw8Kp4eOdNMJl8uGASuw8VfTY5VeIFETaAknimWi8GoxggMEeQ6mq0de4Dest4iIJ/9gUbCo0hgw==" src="https://github.githubassets.com/assets/vendors-node_modules_selector-observer_dist_index_esm_js-8a8fb532f817.js"></script>
<script crossorigin="anonymous" defer="defer" type="application/javascript" integrity="sha512-Es25N4GyPa8Yfp5wpahoe5b2fyPtkRMyR6mKIXyCJC0ocqQazeWvxhGZhx3StRxOfqDfHDR5SS35u/R3Wux6Cg==" src="https://github.githubassets.com/assets/vendors-node_modules_delegated-events_dist_index_js-node_modules_github_details-dialog-elemen-63debe-12cdb93781b2.js"></script>
<script crossorigin="anonymous" defer="defer" type="application/javascript" integrity="sha512-lmiecOIgf+hakg5oKMNM7grVhEDyPoIrT39Px448JJH5PSAaK21PH0Twgyz5O5oi8+dnlLr3Jt8bBCtAcpNdRw==" src="https://github.githubassets.com/assets/vendors-node_modules_github_filter-input-element_dist_index_js-node_modules_github_remote-inp-c7e9ed-96689e70e220.js"></script>
<script crossorigin="anonymous" defer="defer" type="application/javascript" integrity="sha512-y67eNkVaNK4RguUGcHOvIbHFlgf1Qje+LDdjVw2eFuuvBOqta2GePz/CwoLIR/PJhhRAj5RPGxCWoomnimSw6w==" src="https://github.githubassets.com/assets/vendors-node_modules_github_catalyst_lib_index_js-node_modules_github_time-elements_dist_index_js-cbaede36455a.js"></script>
<script crossorigin="anonymous" defer="defer" type="application/javascript" integrity="sha512-DE9GK/TS3Hf/dJfP1GMiyjvsGRnpR4A1eGH64s0Ot7Vy7Tj7/aD1d5EOMWHFWQXlXy/ZSwu5MHInG6RZN31bMA==" src="https://github.githubassets.com/assets/vendors-node_modules_github_file-attachment-element_dist_index_js-node_modules_primer_view-co-52e104-0c4f462bf4d2.js"></script>
<script crossorigin="anonymous" defer="defer" type="application/javascript" integrity="sha512-l//8hwOiwPAmBg0NwsWUYovdQ7/r9kPHiD9/LL4fD3M7El8gbgaOYU5+o6cYLB6puSfOTxyN9M6fE38HSDr2Bw==" src="https://github.githubassets.com/assets/github-elements-97fffc8703a2.js"></script>
<script crossorigin="anonymous" defer="defer" type="application/javascript" integrity="sha512-lIm60Y77qCoue/4Srnoe0QDZN/ReE8mrMZE2uyNTZteQP0e5kPJGSn4NtlWfYkVvI1DuyDC76KsOz04K76v+iA==" src="https://github.githubassets.com/assets/element-registry-9489bad18efb.js"></script>
<script crossorigin="anonymous" defer="defer" type="application/javascript" integrity="sha512-uo73yUZcm4EicwjSbfxFZcKfjWniOxhLBp+q1n7IFRfutFM6/lzbQMgD0Xrxp7QD1HzqdvrV8UclPhi3mEOyzQ==" src="https://github.githubassets.com/assets/vendors-node_modules_lit-html_lit-html_js-ba8ef7c9465c.js"></script>
<script crossorigin="anonymous" defer="defer" type="application/javascript" integrity="sha512-5XdknqL9iTuaAhbOnKJDHf+5bJReOYDwlz5p2mW+SAVfab4RN6AfIliqtPwheKld40DrhPs47We/mT5nlZq2Sg==" src="https://github.githubassets.com/assets/vendors-node_modules_github_remote-form_dist_index_js-node_modules_github_catalyst_lib_index_-87b1b3-e577649ea2fd.js"></script>
<script crossorigin="anonymous" defer="defer" type="application/javascript" integrity="sha512-0r1nf/rfPz54kyePp4f63bcPxkFo7wyaUZJD/SwIVDK3q0WzurAK9ydOm88tzKtPJm8xWI0Vo25NyCfecwxJ9g==" src="https://github.githubassets.com/assets/vendors-node_modules_github_mini-throttle_dist_index_js-node_modules_github_hotkey_dist_index-9f48bd-d2bd677ffadf.js"></script>
<script crossorigin="anonymous" defer="defer" type="application/javascript" integrity="sha512-VK56d0N1hPZ20mOzPoy84zlTGCjGbKKmVvfjoyDqSF+VxTD4f6X8QDs2RgG1R1cdBmsCiea+ZxP6ukV3tHlD+Q==" src="https://github.githubassets.com/assets/vendors-node_modules_github_paste-markdown_dist_index_esm_js-node_modules_github_quote-select-df2537-54ae7a774375.js"></script>
<script crossorigin="anonymous" defer="defer" type="application/javascript" integrity="sha512-vneJnOQi1L9PJESlqC6veCutbVwyQDQCzMoPlkEhfWJ592tNYva9p1SV5uTde09VMWh17HFMDbfuVoy0I5tqHA==" src="https://github.githubassets.com/assets/app_assets_modules_github_behaviors_pjax_ts-be77899ce422.js"></script>
<script crossorigin="anonymous" defer="defer" type="application/javascript" integrity="sha512-2hsYB2KHyayxUJJxJGhXeTeTZZG2c7lzRtO0uB1txmpc7rfvIt4mf0iossT0MHIHknYlaslgi98jmmlVXcXaZQ==" src="https://github.githubassets.com/assets/app_assets_modules_github_behaviors_keyboard-shortcuts-helper_ts-app_assets_modules_github_be-af52ef-da1b18076287.js"></script>
<script crossorigin="anonymous" defer="defer" type="application/javascript" integrity="sha512-8eyyuvsdeUUBrkTsu7OePie4HdGA6yQww2w70dhs28WU0cMh5qhDM1vHrLOwJdbFQodch4KNQ1rv6KNyw1XMpA==" src="https://github.githubassets.com/assets/app_assets_modules_github_behaviors_details_ts-app_assets_modules_github_behaviors_include-fr-a5a4c7-f1ecb2bafb1d.js"></script>
<script crossorigin="anonymous" defer="defer" type="application/javascript" integrity="sha512-i0EzX4ojOyIXe3MB4Kc/20cXNNTwDWHPd9i/bwOEDOd3bRNP7xJCQkX4f7DIELn+WFHtJSpEEfPRzi64gEENFw==" src="https://github.githubassets.com/assets/behaviors-8b41335f8a23.js"></script>
<script crossorigin="anonymous" defer="defer" type="application/javascript" integrity="sha512-rLnbCtiKIpRtm1jgAz913tDImW3g8G+FLRMBIMwrkZ33pO8PMzWDG4m8Zl0uIIs10hCyFr6Dc8s6VDC200S9lg==" src="https://github.githubassets.com/assets/vendors-node_modules_delegated-events_dist_index_js-node_modules_github_catalyst_lib_index_js-01c6c51-acb9db0ad88a.js"></script>
<script crossorigin="anonymous" defer="defer" type="application/javascript" integrity="sha512-zJONQW0ZfaXs3mk/bws2nP0XemlIUbA4+vWsLqTzjTTz7X2yCAI0VXa+i8y/vgLF3Ooeyus5ZnyhiKYj3Jwz6w==" src="https://github.githubassets.com/assets/notifications-global-cc938d416d19.js"></script>
<script crossorigin="anonymous" defer="defer" type="application/javascript" integrity="sha512-1b+YhvQsW1BdKi3eWSc7oNSGJcrQalc3oxxMoXI8foh3weo2AOLx86EMZ5J1a541yu2y7Axj7Vntn1T66EW8dA==" src="https://github.githubassets.com/assets/vendors-node_modules_optimizely_optimizely-sdk_dist_optimizely_browser_es_min_js-node_modules-77839b-d5bf9886f42c.js"></script>
<script crossorigin="anonymous" defer="defer" type="application/javascript" integrity="sha512-NH4Gv218MnzYs/oudrFw7n14lPMa75qmHypJ9MbJn1RW03KwjJKCegU17usZk1uQD8cLWseA4vhCL638+tKM+A==" src="https://github.githubassets.com/assets/optimizely-347e06bf6d7c.js"></script>
<script crossorigin="anonymous" defer="defer" type="application/javascript" integrity="sha512-yG3t7Lpt5yKkdMNXFpl75Xemm+g4ghZ5e8xRBwl/HMbmgc3htVvxrjbohbK9MMfnnci1SnogZNH9DhJHYdQf3A==" src="https://github.githubassets.com/assets/vendors-node_modules_virtualized-list_es_index_js-node_modules_github_template-parts_lib_index_js-c86dedecba6d.js"></script>
<script crossorigin="anonymous" defer="defer" type="application/javascript" integrity="sha512-eE/fdOH+uhuRT992TtBa/oI33EN3x7EBNkJnTdiozp5RMDDiteODOWGCazeuulOPF5ZSFPR7r0PBZFn8enpsRQ==" src="https://github.githubassets.com/assets/vendors-node_modules_github_mini-throttle_dist_decorators_js-node_modules_github_remote-form_-2c55be-784fdf74e1fe.js"></script>
<script crossorigin="anonymous" defer="defer" type="application/javascript" integrity="sha512-FNWxKHkUqs6+xuyyZpMx9BmvcxQqIgVJ5A+PmdU82lZO41cFlo6y6ddHkRfWh2Zd6j9ozvndvrTaOuEH58VvEw==" src="https://github.githubassets.com/assets/vendors-node_modules_github_file-attachment-element_dist_index_js-node_modules_github_filter--fd67a9-14d5b1287914.js"></script>
<script crossorigin="anonymous" defer="defer" type="application/javascript" integrity="sha512-dAabCMULUfibZDcNGDpWbINNJawdJeCfhl8ZTGFEYvgpblXXQIBlutl5zv0oOqc0p1ginRnWy4mAZES/swKmZA==" src="https://github.githubassets.com/assets/app_assets_modules_github_fetch_ts-app_assets_modules_github_input-demux_ts-app_assets_module-e5b55c-74069b08c50b.js"></script>
<script crossorigin="anonymous" defer="defer" type="application/javascript" integrity="sha512-SXRchiPOYprh1D0HcC85QDp+f15IP1oshRaSxymGKZ5jw+se3OVL6zw5QYPnxl9cOf8WxcyBuW+t+raq61yg5g==" src="https://github.githubassets.com/assets/repositories-49745c8623ce.js"></script>
<script crossorigin="anonymous" defer="defer" type="application/javascript" integrity="sha512-2IO4DDKs14Xk+vMRzfe3NVcyY5Bsb071hi/LJEZcTTo74dZ9sgelYQaCPu0nh3qsny1AvzutHZyuvBmt0fbguA==" src="https://github.githubassets.com/assets/app_assets_modules_github_diffs_blob-lines_ts-app_assets_modules_github_diffs_linkable-line-n-f314c3-d883b80c32ac.js"></script>
<script crossorigin="anonymous" defer="defer" type="application/javascript" integrity="sha512-9b6aISppMLr5F8Imzz33ChOeks/lElt5UEQ1fHaKruZEmJ/Jf2bZ8A96OL0fPGqhReDoWK5CZec/Btp1ny7+oQ==" src="https://github.githubassets.com/assets/diffs-f5be9a212a69.js"></script>


  <title>PaddleOCR/轻量级车牌识别.md at dygraph · PaddlePaddle/PaddleOCR · GitHub</title>


  <meta name="request-id" content="B6FC:313F:2FB16:4AF11:62B1726D" data-pjax-transient="true"/><meta name="html-safe-nonce" content="95c166e7500cd689d260f3b8707ad62a8e0f0dec50b5a900780ad09a4cb58361" data-pjax-transient="true"/><meta name="visitor-payload" content="eyJyZWZlcnJlciI6IiIsInJlcXVlc3RfaWQiOiJCNkZDOjMxM0Y6MkZCMTY6NEFGMTE6NjJCMTcyNkQiLCJ2aXNpdG9yX2lkIjoiNDc4ODQxMzQ5MTgzODAyMjI1NCIsInJlZ2lvbl9lZGdlIjoic2VhIiwicmVnaW9uX3JlbmRlciI6InNlYSJ9" data-pjax-transient="true"/><meta name="visitor-hmac" content="60769063a92f53a010f7783fa7370a5d4b255dce3cfb2ae919babf28c57cc46d" data-pjax-transient="true"/>

    <meta name="hovercard-subject-tag" content="repository:262296122" data-pjax-transient>


  <meta name="github-keyboard-shortcuts" content="repository,source-code" data-pjax-transient="true" />


  <meta name="selected-link" value="repo_source" data-pjax-transient>

    <meta name="google-site-verification" content="c1kuD-K2HIVF635lypcsWPoD4kilo5-jA_wBFyT4uMY">
  <meta name="google-site-verification" content="KT5gs8h0wvaagLKAVWq8bbeNwnZZK1r1XQysX3xurLU">
  <meta name="google-site-verification" content="ZzhVyEFwb7w3e0-uOTltm8Jsck2F5StVihD0exw2fsA">
  <meta name="google-site-verification" content="GXs5KoUUkNCoaAZn7wPN-t01Pywp9M3sEjnt_3_ZWPc">

<meta name="octolytics-url" content="https://collector.github.com/github/collect" />

  <meta name="analytics-location" content="/&lt;user-name&gt;/&lt;repo-name&gt;/blob/show" data-pjax-transient="true" />


    <meta name="user-login" content="">

    <meta name="viewport" content="width=device-width">

      <meta name="description" content="Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices) - PaddleOCR/轻量级车牌识别.md at dygraph · PaddlePaddle/PaddleOCR">
      <link rel="search" type="application/opensearchdescription+xml" href="/opensearch.xml" title="GitHub">
    <link rel="fluid-icon" href="https://github.com/fluidicon.png" title="GitHub">
    <meta property="fb:app_id" content="1401488693436528">
    <meta name="apple-itunes-app" content="app-id=1477376905" />
      <meta name="twitter:image:src" content="https://opengraph.githubassets.com/1eca697559d2aabccdeb858570f3f508b575ece90f37d8d4e2156599d7d26d4f/PaddlePaddle/PaddleOCR" /><meta name="twitter:site" content="@github" /><meta name="twitter:card" content="summary_large_image" /><meta name="twitter:title" content="PaddleOCR/轻量级车牌识别.md at dygraph · PaddlePaddle/PaddleOCR" /><meta name="twitter:description" content="Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and..." />
      <meta property="og:image" content="https://opengraph.githubassets.com/1eca697559d2aabccdeb858570f3f508b575ece90f37d8d4e2156599d7d26d4f/PaddlePaddle/PaddleOCR" /><meta property="og:image:alt" content="Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and..." /><meta property="og:image:width" content="1200" /><meta property="og:image:height" content="600" /><meta property="og:site_name" content="GitHub" /><meta property="og:type" content="object" /><meta property="og:title" content="PaddleOCR/轻量级车牌识别.md at dygraph · PaddlePaddle/PaddleOCR" /><meta property="og:url" content="https://github.com/PaddlePaddle/PaddleOCR" /><meta property="og:description" content="Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and..." />

    <link rel="assets" href="https://github.githubassets.com/">


        <meta name="hostname" content="github.com">


        <meta name="expected-hostname" content="github.com">


    <meta name="enabled-features" content="IMAGE_METRIC_TRACKING">


  <meta http-equiv="x-pjax-version" content="6c58939d21332326d08c0f7a7a642997da526ff183c0d52243bccca116e52b17" data-turbo-track="reload">
  <meta http-equiv="x-pjax-csp-version" content="485d6a5ccbb1eeae9c86b616b4870b531f6f458e8bd5c309c40280dc4f51defb" data-turbo-track="reload">
  <meta http-equiv="x-pjax-css-version" content="4219d8fbdfa0920ce6d03f0d9d444f678ff205e0a832d33151d083532f704774" data-turbo-track="reload">
  <meta http-equiv="x-pjax-js-version" content="29ca8c5c927eacd73f2fe0e83209b72749f0b338ac4cfd01387c31f0f4001844" data-turbo-track="reload">

  <meta name="turbo-cache-control" content="no-preview"></meta>


  <meta name="go-import" content="github.com/PaddlePaddle/PaddleOCR git https://github.com/PaddlePaddle/PaddleOCR.git">

  <meta name="octolytics-dimension-user_id" content="23534030" /><meta name="octolytics-dimension-user_login" content="PaddlePaddle" /><meta name="octolytics-dimension-repository_id" content="262296122" /><meta name="octolytics-dimension-repository_nwo" content="PaddlePaddle/PaddleOCR" /><meta name="octolytics-dimension-repository_public" content="true" /><meta name="octolytics-dimension-repository_is_fork" content="false" /><meta name="octolytics-dimension-repository_network_root_id" content="262296122" /><meta name="octolytics-dimension-repository_network_root_nwo" content="PaddlePaddle/PaddleOCR" />


    <link rel="canonical" href="https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md" data-pjax-transient>


  <meta name="browser-stats-url" content="https://api.github.com/_private/browser/stats">

  <meta name="browser-errors-url" content="https://api.github.com/_private/browser/errors">

  <meta name="browser-optimizely-client-errors-url" content="https://api.github.com/_private/browser/optimizely_client/errors">

  <link rel="mask-icon" href="https://github.githubassets.com/pinned-octocat.svg" color="#000000">
  <link rel="alternate icon" class="js-site-favicon" type="image/png" href="https://github.githubassets.com/favicons/favicon.png">
  <link rel="icon" class="js-site-favicon" type="image/svg+xml" href="https://github.githubassets.com/favicons/favicon.svg">

<meta name="theme-color" content="#1e2327">
<meta name="color-scheme" content="light dark" />


  <link rel="manifest" href="/manifest.json" crossOrigin="use-credentials">

  </head>

  <body class="logged-out env-production page-responsive page-blob" style="word-wrap: break-word;">


    <div class="position-relative js-header-wrapper ">
      <a href="#start-of-content" class="px-2 py-4 color-bg-accent-emphasis color-fg-on-emphasis show-on-focus js-skip-to-content">Skip to content</a>
      <span data-view-component="true" class="progress-pjax-loader js-pjax-loader-bar Progress position-fixed width-full">
    <span style="width: 0%;" data-view-component="true" class="Progress-item progress-pjax-loader-bar left-0 top-0 color-bg-accent-emphasis"></span>
</span>  


            <script crossorigin="anonymous" defer="defer" type="application/javascript" integrity="sha512-Z1hiPkiRLA+tojAnxZLHuRa1IrpZhnqK66AX75QbEn6PgZIpDJnWcJhQ0pOU2cI6Pe9yO0i3s4JIc9G//vkosQ==" src="https://github.githubassets.com/assets/sessions-6758623e4891.js"></script>
<header class="Header-old header-logged-out js-details-container Details position-relative f4 py-2" role="banner">
  <div class="container-xl d-lg-flex flex-items-center p-responsive">
    <div class="d-flex flex-justify-between flex-items-center">
      <a class="mr-4 color-fg-inherit" href="https://github.com/" aria-label="Homepage" data-ga-click="(Logged out) Header, go to homepage, icon:logo-wordmark">
        <svg height="32" aria-hidden="true" viewBox="0 0 16 16" version="1.1" width="32" data-view-component="true" class="octicon octicon-mark-github">
    <path fill-rule="evenodd" d="M8 0C3.58 0 0 3.58 0 8c0 3.54 2.29 6.53 5.47 7.59.4.07.55-.17.55-.38 0-.19-.01-.82-.01-1.49-2.01.37-2.53-.49-2.69-.94-.09-.23-.48-.94-.82-1.13-.28-.15-.68-.52-.01-.53.63-.01 1.08.58 1.23.82.72 1.21 1.87.87 2.33.66.07-.52.28-.87.51-1.07-1.78-.2-3.64-.89-3.64-3.95 0-.87.31-1.59.82-2.15-.08-.2-.36-1.02.08-2.12 0 0 .67-.21 2.2.82.64-.18 1.32-.27 2-.27.68 0 1.36.09 2 .27 1.53-1.04 2.2-.82 2.2-.82.44 1.1.16 1.92.08 2.12.51.56.82 1.27.82 2.15 0 3.07-1.87 3.75-3.65 3.95.29.25.54.73.54 1.48 0 1.07-.01 1.93-.01 2.2 0 .21.15.46.55.38A8.013 8.013 0 0016 8c0-4.42-3.58-8-8-8z"></path>
</svg>
      </a>

        <div class="d-lg-none css-truncate css-truncate-target width-fit p-2">


        </div>

      <div class="d-flex flex-items-center">
            <a href="/signup?ref_cta=Sign+up&amp;ref_loc=header+logged+out&amp;ref_page=%2F%3Cuser-name%3E%2F%3Crepo-name%3E%2Fblob%2Fshow&amp;source=header-repo"
              class="d-inline-block d-lg-none f5 no-underline border color-border-default rounded-2 px-2 py-1 mr-3 mr-sm-5 color-fg-inherit"
              data-hydro-click="{&quot;event_type&quot;:&quot;authentication.click&quot;,&quot;payload&quot;:{&quot;location_in_page&quot;:&quot;site header&quot;,&quot;repository_id&quot;:null,&quot;auth_type&quot;:&quot;SIGN_UP&quot;,&quot;originating_url&quot;:&quot;https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md&quot;,&quot;user_id&quot;:null}}" data-hydro-click-hmac="e697b45b9e440c22e4e3985c3ab81484e1433b0710fb937a52cb9aad23cfc3ca"
            >
              Sign&nbsp;up
            </a>

        <button aria-label="Toggle navigation" aria-expanded="false" type="button" data-view-component="true" class="js-details-target btn-link d-lg-none mt-1 color-fg-inherit">  <svg aria-hidden="true" height="24" viewBox="0 0 16 16" version="1.1" width="24" data-view-component="true" class="octicon octicon-three-bars">
    <path fill-rule="evenodd" d="M1 2.75A.75.75 0 011.75 2h12.5a.75.75 0 110 1.5H1.75A.75.75 0 011 2.75zm0 5A.75.75 0 011.75 7h12.5a.75.75 0 110 1.5H1.75A.75.75 0 011 7.75zM1.75 12a.75.75 0 100 1.5h12.5a.75.75 0 100-1.5H1.75z"></path>
</svg>

</button>      </div>
    </div>

    <div class="HeaderMenu HeaderMenu--logged-out position-fixed top-0 right-0 bottom-0 height-fit position-lg-relative d-lg-flex flex-justify-between flex-items-center flex-auto">
      <div class="d-flex d-lg-none flex-justify-end border-bottom color-bg-subtle p-3">
        <button aria-label="Toggle navigation" aria-expanded="false" type="button" data-view-component="true" class="js-details-target btn-link">  <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-x color-fg-muted">
    <path fill-rule="evenodd" d="M5.72 5.72a.75.75 0 011.06 0L12 10.94l5.22-5.22a.75.75 0 111.06 1.06L13.06 12l5.22 5.22a.75.75 0 11-1.06 1.06L12 13.06l-5.22 5.22a.75.75 0 01-1.06-1.06L10.94 12 5.72 6.78a.75.75 0 010-1.06z"></path>
</svg>

</button>      </div>

        <nav class="mt-0 px-3 px-lg-0 mb-5 mb-lg-0" aria-label="Global">
          <ul class="d-lg-flex list-style-none">
              <li class="mr-0 mr-lg-3 position-relative flex-wrap flex-justify-between flex-items-center border-bottom border-lg-bottom-0 d-block d-lg-flex flex-lg-nowrap flex-lg-items-center">
    <details class="HeaderMenu-details details-overlay details-reset width-full">
      <summary class="HeaderMenu-summary HeaderMenu-link px-0 py-3 border-0 no-wrap d-block d-lg-inline-block">
        Product
        <svg x="0" y="0" viewBox="0 0 14 8" xml:space="preserve" fill="none" class="icon-chevon-down-mktg position-absolute position-lg-relative"><path d="M1,1l6.2,6L13,1"></path></svg>
      </summary>
      <div class="dropdown-menu flex-auto rounded px-0 mt-0 pb-4 p-lg-4 position-relative position-lg-absolute left-0 left-lg-n4">
        <ul class="list-style-none f5 pb-1">
              <li>
    <a class="lh-condensed-ultra d-block no-underline position-relative Link--primary text-bold py-2" data-analytics-event="{&quot;category&quot;:&quot;Header dropdown (logged out), Product&quot;,&quot;action&quot;:&quot;click to go to Features&quot;,&quot;label&quot;:&quot;ref_page:/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md;ref_cta:Features;&quot;}" href="/features">
      Features
</a>  </li>

              <li>
    <a class="lh-condensed-ultra d-block no-underline position-relative Link--secondary py-2" data-analytics-event="{&quot;category&quot;:&quot;Header dropdown (logged out), Product&quot;,&quot;action&quot;:&quot;click to go to Mobile&quot;,&quot;label&quot;:&quot;ref_page:/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md;ref_cta:Mobile;&quot;}" href="/mobile">
      Mobile
</a>  </li>

              <li>
    <a class="lh-condensed-ultra d-block no-underline position-relative Link--secondary py-2" data-analytics-event="{&quot;category&quot;:&quot;Header dropdown (logged out), Product&quot;,&quot;action&quot;:&quot;click to go to Actions&quot;,&quot;label&quot;:&quot;ref_page:/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md;ref_cta:Actions;&quot;}" href="/features/actions">
      Actions
</a>  </li>

              <li>
    <a class="lh-condensed-ultra d-block no-underline position-relative Link--secondary py-2" data-analytics-event="{&quot;category&quot;:&quot;Header dropdown (logged out), Product&quot;,&quot;action&quot;:&quot;click to go to Codespaces&quot;,&quot;label&quot;:&quot;ref_page:/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md;ref_cta:Codespaces;&quot;}" href="/features/codespaces">
      Codespaces
</a>  </li>


              <li>
    <a class="lh-condensed-ultra d-block no-underline position-relative Link--secondary py-2" data-analytics-event="{&quot;category&quot;:&quot;Header dropdown (logged out), Product&quot;,&quot;action&quot;:&quot;click to go to Packages&quot;,&quot;label&quot;:&quot;ref_page:/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md;ref_cta:Packages;&quot;}" href="/features/packages">
      Packages
</a>  </li>

              <li>
    <a class="lh-condensed-ultra d-block no-underline position-relative Link--secondary py-2" data-analytics-event="{&quot;category&quot;:&quot;Header dropdown (logged out), Product&quot;,&quot;action&quot;:&quot;click to go to Security&quot;,&quot;label&quot;:&quot;ref_page:/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md;ref_cta:Security;&quot;}" href="/features/security">
      Security
</a>  </li>

              <li>
    <a class="lh-condensed-ultra d-block no-underline position-relative Link--secondary py-2" data-analytics-event="{&quot;category&quot;:&quot;Header dropdown (logged out), Product&quot;,&quot;action&quot;:&quot;click to go to Code review&quot;,&quot;label&quot;:&quot;ref_page:/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md;ref_cta:Code review;&quot;}" href="/features/code-review">
      Code review
</a>  </li>

              <li>
    <a class="lh-condensed-ultra d-block no-underline position-relative Link--secondary py-2" data-analytics-event="{&quot;category&quot;:&quot;Header dropdown (logged out), Product&quot;,&quot;action&quot;:&quot;click to go to Issues&quot;,&quot;label&quot;:&quot;ref_page:/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md;ref_cta:Issues;&quot;}" href="/features/issues">
      Issues
</a>  </li>

              <li>
    <a class="lh-condensed-ultra d-block no-underline position-relative Link--secondary py-2" data-analytics-event="{&quot;category&quot;:&quot;Header dropdown (logged out), Product&quot;,&quot;action&quot;:&quot;click to go to Integrations&quot;,&quot;label&quot;:&quot;ref_page:/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md;ref_cta:Integrations;&quot;}" href="/features/integrations">
      Integrations
</a>  </li>

              <li>
    <a class="lh-condensed-ultra d-block no-underline position-relative Link--primary text-bold border-top pt-4 pb-2 mt-3" data-analytics-event="{&quot;category&quot;:&quot;Header dropdown (logged out), Product&quot;,&quot;action&quot;:&quot;click to go to GitHub Sponsors&quot;,&quot;label&quot;:&quot;ref_page:/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md;ref_cta:GitHub Sponsors;&quot;}" href="/sponsors">
      GitHub Sponsors
</a>  </li>

              <li>
    <a class="lh-condensed-ultra d-block no-underline position-relative Link--primary text-bold py-2" data-analytics-event="{&quot;category&quot;:&quot;Header dropdown (logged out), Product&quot;,&quot;action&quot;:&quot;click to go to Customer stories&quot;,&quot;label&quot;:&quot;ref_page:/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md;ref_cta:Customer stories;&quot;}" href="/customer-stories">
      Customer stories
</a>  </li>

        </ul>
      </div>
    </details>
</li>


              <li class="mr-0 mr-lg-3 position-relative flex-wrap flex-justify-between flex-items-center border-bottom border-lg-bottom-0 d-block d-lg-flex flex-lg-nowrap flex-lg-items-center">
    <a class="HeaderMenu-link no-underline py-3 d-block d-lg-inline-block" data-analytics-event="{&quot;category&quot;:&quot;Header menu top item (logged out)&quot;,&quot;action&quot;:&quot;click to go to Team&quot;,&quot;label&quot;:&quot;ref_page:/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md;ref_cta:Team;&quot;}" href="/team">Team</a>
</li>

              <li class="mr-0 mr-lg-3 position-relative flex-wrap flex-justify-between flex-items-center border-bottom border-lg-bottom-0 d-block d-lg-flex flex-lg-nowrap flex-lg-items-center">
    <a class="HeaderMenu-link no-underline py-3 d-block d-lg-inline-block" data-analytics-event="{&quot;category&quot;:&quot;Header menu top item (logged out)&quot;,&quot;action&quot;:&quot;click to go to Enterprise&quot;,&quot;label&quot;:&quot;ref_page:/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md;ref_cta:Enterprise;&quot;}" href="/enterprise">Enterprise</a>
</li>


            <li class="mr-0 mr-lg-3 position-relative flex-wrap flex-justify-between flex-items-center border-bottom border-lg-bottom-0 d-block d-lg-flex flex-lg-nowrap flex-lg-items-center">
    <details class="HeaderMenu-details details-overlay details-reset width-full">
      <summary class="HeaderMenu-summary HeaderMenu-link px-0 py-3 border-0 no-wrap d-block d-lg-inline-block">
        Explore
        <svg x="0" y="0" viewBox="0 0 14 8" xml:space="preserve" fill="none" class="icon-chevon-down-mktg position-absolute position-lg-relative"><path d="M1,1l6.2,6L13,1"></path></svg>
      </summary>
      <div class="dropdown-menu flex-auto rounded px-0 mt-0 pb-4 p-lg-4 position-relative position-lg-absolute left-0 left-lg-n4">
        <ul class="list-style-none f5 pb-1">
              <li>
    <a class="lh-condensed-ultra d-block no-underline position-relative Link--primary text-bold py-2" data-analytics-event="{&quot;category&quot;:&quot;Header dropdown (logged out), Explore&quot;,&quot;action&quot;:&quot;click to go to Explore GitHub&quot;,&quot;label&quot;:&quot;ref_page:/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md;ref_cta:Explore GitHub;&quot;}" href="/explore">
      Explore GitHub
</a>  </li>

              <li class="color-fg-muted text-normal f6 text-mono mb-1 border-top pt-3 mt-3 mb-1">Learn and contribute</li>

              <li>
    <a class="lh-condensed-ultra d-block no-underline position-relative Link--secondary py-2" data-analytics-event="{&quot;category&quot;:&quot;Header dropdown (logged out), Explore&quot;,&quot;action&quot;:&quot;click to go to Topics&quot;,&quot;label&quot;:&quot;ref_page:/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md;ref_cta:Topics;&quot;}" href="/topics">
      Topics
</a>  </li>

              <li>
    <a class="lh-condensed-ultra d-block no-underline position-relative Link--secondary py-2" data-analytics-event="{&quot;category&quot;:&quot;Header dropdown (logged out), Explore&quot;,&quot;action&quot;:&quot;click to go to Collections&quot;,&quot;label&quot;:&quot;ref_page:/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md;ref_cta:Collections;&quot;}" href="/collections">
      Collections
</a>  </li>

              <li>
    <a class="lh-condensed-ultra d-block no-underline position-relative Link--secondary py-2" data-analytics-event="{&quot;category&quot;:&quot;Header dropdown (logged out), Explore&quot;,&quot;action&quot;:&quot;click to go to Trending&quot;,&quot;label&quot;:&quot;ref_page:/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md;ref_cta:Trending;&quot;}" href="/trending">
      Trending
</a>  </li>

              <li>
    <a class="lh-condensed-ultra d-block no-underline position-relative Link--secondary py-2" data-analytics-event="{&quot;category&quot;:&quot;Header dropdown (logged out), Explore&quot;,&quot;action&quot;:&quot;click to go to Skills&quot;,&quot;label&quot;:&quot;ref_page:/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md;ref_cta:Skills;&quot;}" href="https://skills.github.com/">
      Skills
</a>  </li>

              <li>
    <a class="lh-condensed-ultra d-block no-underline position-relative Link--secondary py-2" data-analytics-event="{&quot;category&quot;:&quot;Header dropdown (logged out), Explore&quot;,&quot;action&quot;:&quot;click to go to GitHub Sponsors&quot;,&quot;label&quot;:&quot;ref_page:/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md;ref_cta:GitHub Sponsors;&quot;}" href="/sponsors/explore">
      GitHub Sponsors
</a>  </li>

              <li>
    <a class="lh-condensed-ultra d-block no-underline position-relative Link--secondary py-2" data-analytics-event="{&quot;category&quot;:&quot;Header dropdown (logged out), Explore&quot;,&quot;action&quot;:&quot;click to go to Open source guides&quot;,&quot;label&quot;:&quot;ref_page:/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md;ref_cta:Open source guides;&quot;}" href="https://opensource.guide">
      Open source guides
</a>  </li>

              <li class="color-fg-muted text-normal f6 text-mono mb-1 border-top pt-3 mt-3 mb-1">Connect with others</li>

              <li>
    <a class="lh-condensed-ultra d-block no-underline position-relative Link--secondary py-2" data-analytics-event="{&quot;category&quot;:&quot;Header dropdown (logged out), Explore&quot;,&quot;action&quot;:&quot;click to go to The ReadME Project&quot;,&quot;label&quot;:&quot;ref_page:/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md;ref_cta:The ReadME Project;&quot;}" href="/readme">
      The ReadME Project
</a>  </li>

              <li>
    <a class="lh-condensed-ultra d-block no-underline position-relative Link--secondary py-2" data-analytics-event="{&quot;category&quot;:&quot;Header dropdown (logged out), Explore&quot;,&quot;action&quot;:&quot;click to go to Events&quot;,&quot;label&quot;:&quot;ref_page:/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md;ref_cta:Events;&quot;}" href="/events">
      Events
</a>  </li>

              <li>
    <a class="lh-condensed-ultra d-block no-underline position-relative Link--secondary py-2" data-analytics-event="{&quot;category&quot;:&quot;Header dropdown (logged out), Explore&quot;,&quot;action&quot;:&quot;click to go to Community forum&quot;,&quot;label&quot;:&quot;ref_page:/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md;ref_cta:Community forum;&quot;}" href="https://github.community">
      Community forum
</a>  </li>

              <li>
    <a class="lh-condensed-ultra d-block no-underline position-relative Link--secondary py-2" data-analytics-event="{&quot;category&quot;:&quot;Header dropdown (logged out), Explore&quot;,&quot;action&quot;:&quot;click to go to GitHub Education&quot;,&quot;label&quot;:&quot;ref_page:/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md;ref_cta:GitHub Education;&quot;}" href="https://education.github.com">
      GitHub Education
</a>  </li>

              <li>
    <a class="lh-condensed-ultra d-block no-underline position-relative Link--secondary py-2" data-analytics-event="{&quot;category&quot;:&quot;Header dropdown (logged out), Explore&quot;,&quot;action&quot;:&quot;click to go to GitHub Stars program&quot;,&quot;label&quot;:&quot;ref_page:/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md;ref_cta:GitHub Stars program;&quot;}" href="https://stars.github.com">
      GitHub Stars program
</a>  </li>

        </ul>
      </div>
    </details>
</li>


            <li class="mr-0 mr-lg-3 position-relative flex-wrap flex-justify-between flex-items-center border-bottom border-lg-bottom-0 d-block d-lg-flex flex-lg-nowrap flex-lg-items-center">
    <a class="HeaderMenu-link no-underline py-3 d-block d-lg-inline-block" data-analytics-event="{&quot;category&quot;:&quot;Header menu top item (logged out)&quot;,&quot;action&quot;:&quot;click to go to Marketplace&quot;,&quot;label&quot;:&quot;ref_page:/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md;ref_cta:Marketplace;&quot;}" href="/marketplace">Marketplace</a>
</li>


            <li class="mr-0 mr-lg-3 position-relative flex-wrap flex-justify-between flex-items-center border-bottom border-lg-bottom-0 d-block d-lg-flex flex-lg-nowrap flex-lg-items-center">
    <details class="HeaderMenu-details details-overlay details-reset width-full">
      <summary class="HeaderMenu-summary HeaderMenu-link px-0 py-3 border-0 no-wrap d-block d-lg-inline-block">
        Pricing
        <svg x="0" y="0" viewBox="0 0 14 8" xml:space="preserve" fill="none" class="icon-chevon-down-mktg position-absolute position-lg-relative"><path d="M1,1l6.2,6L13,1"></path></svg>
      </summary>
      <div class="dropdown-menu flex-auto rounded px-0 mt-0 pb-4 p-lg-4 position-relative position-lg-absolute left-0 left-lg-n4">
        <ul class="list-style-none f5 pb-1">
              <li>
    <a class="lh-condensed-ultra d-block no-underline position-relative Link--primary text-bold py-2" data-analytics-event="{&quot;category&quot;:&quot;Header dropdown (logged out), Pricing&quot;,&quot;action&quot;:&quot;click to go to Plans&quot;,&quot;label&quot;:&quot;ref_page:/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md;ref_cta:Plans;&quot;}" href="/pricing">
      Plans
</a>  </li>

              <li>
    <a class="lh-condensed-ultra d-block no-underline position-relative Link--secondary py-2" data-analytics-event="{&quot;category&quot;:&quot;Header dropdown (logged out), Pricing&quot;,&quot;action&quot;:&quot;click to go to Compare plans&quot;,&quot;label&quot;:&quot;ref_page:/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md;ref_cta:Compare plans;&quot;}" href="/pricing#compare-features">
      Compare plans
</a>  </li>

              <li>
    <a class="lh-condensed-ultra d-block no-underline position-relative Link--secondary py-2" data-analytics-event="{&quot;category&quot;:&quot;Header dropdown (logged out), Pricing&quot;,&quot;action&quot;:&quot;click to go to Contact Sales&quot;,&quot;label&quot;:&quot;ref_page:/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md;ref_cta:Contact Sales;&quot;}" href="https://github.com/enterprise/contact">
      Contact Sales
</a>  </li>

              <li>
    <a class="lh-condensed-ultra d-block no-underline position-relative Link--primary text-bold border-top pt-4 pb-2 mt-3" data-analytics-event="{&quot;category&quot;:&quot;Header dropdown (logged out), Pricing&quot;,&quot;action&quot;:&quot;click to go to Education&quot;,&quot;label&quot;:&quot;ref_page:/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md;ref_cta:Education;&quot;}" href="https://education.github.com">
      Education
</a>  </li>

        </ul>
      </div>
    </details>
</li>

          </ul>
        </nav>

      <div class="d-lg-flex flex-items-center px-3 px-lg-0 text-center text-lg-left">
          <div class="d-lg-flex min-width-0 mb-3 mb-lg-0">


<div class="header-search flex-auto js-site-search position-relative flex-self-stretch flex-md-self-auto mb-3 mb-md-0 mr-0 mr-md-3 scoped-search site-scoped-search js-jump-to"
>
  <div class="position-relative">
    <!-- '"` --><!-- </textarea></xmp> --></option></form><form class="js-site-search-form" role="search" aria-label="Site" data-scope-type="Repository" data-scope-id="262296122" data-scoped-search-url="/PaddlePaddle/PaddleOCR/search" data-owner-scoped-search-url="/orgs/PaddlePaddle/search" data-unscoped-search-url="/search" data-turbo="false" action="/PaddlePaddle/PaddleOCR/search" accept-charset="UTF-8" method="get">
      <label class="form-control input-sm header-search-wrapper p-0 js-chromeless-input-container header-search-wrapper-jump-to position-relative d-flex flex-justify-between flex-items-center">
        <input type="text"
          class="form-control input-sm header-search-input jump-to-field js-jump-to-field js-site-search-focus js-site-search-field is-clearable"
          data-hotkey=s,/
          name="q"
          data-test-selector="nav-search-input"
          placeholder="Search"
          data-unscoped-placeholder="Search GitHub"
          data-scoped-placeholder="Search"
          autocapitalize="off"
          role="combobox"
          aria-haspopup="listbox"
          aria-expanded="false"
          aria-autocomplete="list"
          aria-controls="jump-to-results"
          aria-label="Search"
          data-jump-to-suggestions-path="/_graphql/GetSuggestedNavigationDestinations"
          spellcheck="false"
          autocomplete="off"
        >
        <input type="hidden" data-csrf="true" class="js-data-jump-to-suggestions-path-csrf" value="3sIzmZY19XiVvvmqOda8K/tw/otB4voFktXu/QVkH/wlFcIW1DALJozQM+9OJnW6NJEvC+nr88icYnU0YgDkJA==" />
        <input type="hidden" class="js-site-search-type-field" name="type" >
            <svg xmlns="http://www.w3.org/2000/svg" width="22" height="20" aria-hidden="true" class="mr-1 header-search-key-slash"><path fill="none" stroke="#979A9C" opacity=".4" d="M3.5.5h12c1.7 0 3 1.3 3 3v13c0 1.7-1.3 3-3 3h-12c-1.7 0-3-1.3-3-3v-13c0-1.7 1.3-3 3-3z"></path><path fill="#979A9C" d="M11.8 6L8 15.1h-.9L10.8 6h1z"></path></svg>


          <div class="Box position-absolute overflow-hidden d-none jump-to-suggestions js-jump-to-suggestions-container">

<ul class="d-none js-jump-to-suggestions-template-container">


<li class="d-flex flex-justify-start flex-items-center p-0 f5 navigation-item js-navigation-item js-jump-to-suggestion" role="option">
  <a tabindex="-1" class="no-underline d-flex flex-auto flex-items-center jump-to-suggestions-path js-jump-to-suggestion-path js-navigation-open p-2" href="" data-item-type="suggestion">
    <div class="jump-to-octicon js-jump-to-octicon flex-shrink-0 mr-2 text-center d-none">
      <svg title="Repository" aria-label="Repository" role="img" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-repo js-jump-to-octicon-repo d-none flex-shrink-0">
    <path fill-rule="evenodd" d="M2 2.5A2.5 2.5 0 014.5 0h8.75a.75.75 0 01.75.75v12.5a.75.75 0 01-.75.75h-2.5a.75.75 0 110-1.5h1.75v-2h-8a1 1 0 00-.714 1.7.75.75 0 01-1.072 1.05A2.495 2.495 0 012 11.5v-9zm10.5-1V9h-8c-.356 0-.694.074-1 .208V2.5a1 1 0 011-1h8zM5 12.25v3.25a.25.25 0 00.4.2l1.45-1.087a.25.25 0 01.3 0L8.6 15.7a.25.25 0 00.4-.2v-3.25a.25.25 0 00-.25-.25h-3.5a.25.25 0 00-.25.25z"></path>
</svg>
      <svg title="Project" aria-label="Project" role="img" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-project js-jump-to-octicon-project d-none flex-shrink-0">
    <path fill-rule="evenodd" d="M1.75 0A1.75 1.75 0 000 1.75v12.5C0 15.216.784 16 1.75 16h12.5A1.75 1.75 0 0016 14.25V1.75A1.75 1.75 0 0014.25 0H1.75zM1.5 1.75a.25.25 0 01.25-.25h12.5a.25.25 0 01.25.25v12.5a.25.25 0 01-.25.25H1.75a.25.25 0 01-.25-.25V1.75zM11.75 3a.75.75 0 00-.75.75v7.5a.75.75 0 001.5 0v-7.5a.75.75 0 00-.75-.75zm-8.25.75a.75.75 0 011.5 0v5.5a.75.75 0 01-1.5 0v-5.5zM8 3a.75.75 0 00-.75.75v3.5a.75.75 0 001.5 0v-3.5A.75.75 0 008 3z"></path>
</svg>
      <svg title="Search" aria-label="Search" role="img" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-search js-jump-to-octicon-search d-none flex-shrink-0">
    <path fill-rule="evenodd" d="M11.5 7a4.499 4.499 0 11-8.998 0A4.499 4.499 0 0111.5 7zm-.82 4.74a6 6 0 111.06-1.06l3.04 3.04a.75.75 0 11-1.06 1.06l-3.04-3.04z"></path>
</svg>
    </div>

    <img class="avatar mr-2 flex-shrink-0 js-jump-to-suggestion-avatar d-none" alt="" aria-label="Team" src="" width="28" height="28">

    <div class="jump-to-suggestion-name js-jump-to-suggestion-name flex-auto overflow-hidden text-left no-wrap css-truncate css-truncate-target">
    </div>

    <div class="border rounded-2 flex-shrink-0 color-bg-subtle px-1 color-fg-muted ml-1 f6 d-none js-jump-to-badge-search">
      <span class="js-jump-to-badge-search-text-default d-none" aria-label="in this repository">
        In this repository
      </span>
      <span class="js-jump-to-badge-search-text-global d-none" aria-label="in all of GitHub">
        All GitHub
      </span>
      <span aria-hidden="true" class="d-inline-block ml-1 v-align-middle">↵</span>
    </div>

    <div aria-hidden="true" class="border rounded-2 flex-shrink-0 color-bg-subtle px-1 color-fg-muted ml-1 f6 d-none d-on-nav-focus js-jump-to-badge-jump">
      Jump to
      <span class="d-inline-block ml-1 v-align-middle">↵</span>
    </div>
  </a>
</li>

</ul>

<ul class="d-none js-jump-to-no-results-template-container">
  <li class="d-flex flex-justify-center flex-items-center f5 d-none js-jump-to-suggestion p-2">
    <span class="color-fg-muted">No suggested jump to results</span>
  </li>
</ul>

<ul id="jump-to-results" role="listbox" class="p-0 m-0 js-navigation-container jump-to-suggestions-results-container js-jump-to-suggestions-results-container">


<li class="d-flex flex-justify-start flex-items-center p-0 f5 navigation-item js-navigation-item js-jump-to-scoped-search d-none" role="option">
  <a tabindex="-1" class="no-underline d-flex flex-auto flex-items-center jump-to-suggestions-path js-jump-to-suggestion-path js-navigation-open p-2" href="" data-item-type="scoped_search">
    <div class="jump-to-octicon js-jump-to-octicon flex-shrink-0 mr-2 text-center d-none">
      <svg title="Repository" aria-label="Repository" role="img" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-repo js-jump-to-octicon-repo d-none flex-shrink-0">
    <path fill-rule="evenodd" d="M2 2.5A2.5 2.5 0 014.5 0h8.75a.75.75 0 01.75.75v12.5a.75.75 0 01-.75.75h-2.5a.75.75 0 110-1.5h1.75v-2h-8a1 1 0 00-.714 1.7.75.75 0 01-1.072 1.05A2.495 2.495 0 012 11.5v-9zm10.5-1V9h-8c-.356 0-.694.074-1 .208V2.5a1 1 0 011-1h8zM5 12.25v3.25a.25.25 0 00.4.2l1.45-1.087a.25.25 0 01.3 0L8.6 15.7a.25.25 0 00.4-.2v-3.25a.25.25 0 00-.25-.25h-3.5a.25.25 0 00-.25.25z"></path>
</svg>
      <svg title="Project" aria-label="Project" role="img" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-project js-jump-to-octicon-project d-none flex-shrink-0">
    <path fill-rule="evenodd" d="M1.75 0A1.75 1.75 0 000 1.75v12.5C0 15.216.784 16 1.75 16h12.5A1.75 1.75 0 0016 14.25V1.75A1.75 1.75 0 0014.25 0H1.75zM1.5 1.75a.25.25 0 01.25-.25h12.5a.25.25 0 01.25.25v12.5a.25.25 0 01-.25.25H1.75a.25.25 0 01-.25-.25V1.75zM11.75 3a.75.75 0 00-.75.75v7.5a.75.75 0 001.5 0v-7.5a.75.75 0 00-.75-.75zm-8.25.75a.75.75 0 011.5 0v5.5a.75.75 0 01-1.5 0v-5.5zM8 3a.75.75 0 00-.75.75v3.5a.75.75 0 001.5 0v-3.5A.75.75 0 008 3z"></path>
</svg>
      <svg title="Search" aria-label="Search" role="img" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-search js-jump-to-octicon-search d-none flex-shrink-0">
    <path fill-rule="evenodd" d="M11.5 7a4.499 4.499 0 11-8.998 0A4.499 4.499 0 0111.5 7zm-.82 4.74a6 6 0 111.06-1.06l3.04 3.04a.75.75 0 11-1.06 1.06l-3.04-3.04z"></path>
</svg>
    </div>

    <img class="avatar mr-2 flex-shrink-0 js-jump-to-suggestion-avatar d-none" alt="" aria-label="Team" src="" width="28" height="28">

    <div class="jump-to-suggestion-name js-jump-to-suggestion-name flex-auto overflow-hidden text-left no-wrap css-truncate css-truncate-target">
    </div>

    <div class="border rounded-2 flex-shrink-0 color-bg-subtle px-1 color-fg-muted ml-1 f6 d-none js-jump-to-badge-search">
      <span class="js-jump-to-badge-search-text-default d-none" aria-label="in this repository">
        In this repository
      </span>
      <span class="js-jump-to-badge-search-text-global d-none" aria-label="in all of GitHub">
        All GitHub
      </span>
      <span aria-hidden="true" class="d-inline-block ml-1 v-align-middle">↵</span>
    </div>

    <div aria-hidden="true" class="border rounded-2 flex-shrink-0 color-bg-subtle px-1 color-fg-muted ml-1 f6 d-none d-on-nav-focus js-jump-to-badge-jump">
      Jump to
      <span class="d-inline-block ml-1 v-align-middle">↵</span>
    </div>
  </a>
</li>


<li class="d-flex flex-justify-start flex-items-center p-0 f5 navigation-item js-navigation-item js-jump-to-owner-scoped-search d-none" role="option">
  <a tabindex="-1" class="no-underline d-flex flex-auto flex-items-center jump-to-suggestions-path js-jump-to-suggestion-path js-navigation-open p-2" href="" data-item-type="owner_scoped_search">
    <div class="jump-to-octicon js-jump-to-octicon flex-shrink-0 mr-2 text-center d-none">
      <svg title="Repository" aria-label="Repository" role="img" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-repo js-jump-to-octicon-repo d-none flex-shrink-0">
    <path fill-rule="evenodd" d="M2 2.5A2.5 2.5 0 014.5 0h8.75a.75.75 0 01.75.75v12.5a.75.75 0 01-.75.75h-2.5a.75.75 0 110-1.5h1.75v-2h-8a1 1 0 00-.714 1.7.75.75 0 01-1.072 1.05A2.495 2.495 0 012 11.5v-9zm10.5-1V9h-8c-.356 0-.694.074-1 .208V2.5a1 1 0 011-1h8zM5 12.25v3.25a.25.25 0 00.4.2l1.45-1.087a.25.25 0 01.3 0L8.6 15.7a.25.25 0 00.4-.2v-3.25a.25.25 0 00-.25-.25h-3.5a.25.25 0 00-.25.25z"></path>
</svg>
      <svg title="Project" aria-label="Project" role="img" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-project js-jump-to-octicon-project d-none flex-shrink-0">
    <path fill-rule="evenodd" d="M1.75 0A1.75 1.75 0 000 1.75v12.5C0 15.216.784 16 1.75 16h12.5A1.75 1.75 0 0016 14.25V1.75A1.75 1.75 0 0014.25 0H1.75zM1.5 1.75a.25.25 0 01.25-.25h12.5a.25.25 0 01.25.25v12.5a.25.25 0 01-.25.25H1.75a.25.25 0 01-.25-.25V1.75zM11.75 3a.75.75 0 00-.75.75v7.5a.75.75 0 001.5 0v-7.5a.75.75 0 00-.75-.75zm-8.25.75a.75.75 0 011.5 0v5.5a.75.75 0 01-1.5 0v-5.5zM8 3a.75.75 0 00-.75.75v3.5a.75.75 0 001.5 0v-3.5A.75.75 0 008 3z"></path>
</svg>
      <svg title="Search" aria-label="Search" role="img" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-search js-jump-to-octicon-search d-none flex-shrink-0">
    <path fill-rule="evenodd" d="M11.5 7a4.499 4.499 0 11-8.998 0A4.499 4.499 0 0111.5 7zm-.82 4.74a6 6 0 111.06-1.06l3.04 3.04a.75.75 0 11-1.06 1.06l-3.04-3.04z"></path>
</svg>
    </div>

    <img class="avatar mr-2 flex-shrink-0 js-jump-to-suggestion-avatar d-none" alt="" aria-label="Team" src="" width="28" height="28">

    <div class="jump-to-suggestion-name js-jump-to-suggestion-name flex-auto overflow-hidden text-left no-wrap css-truncate css-truncate-target">
    </div>

    <div class="border rounded-2 flex-shrink-0 color-bg-subtle px-1 color-fg-muted ml-1 f6 d-none js-jump-to-badge-search">
      <span class="js-jump-to-badge-search-text-default d-none" aria-label="in this organization">
        In this organization
      </span>
      <span class="js-jump-to-badge-search-text-global d-none" aria-label="in all of GitHub">
        All GitHub
      </span>
      <span aria-hidden="true" class="d-inline-block ml-1 v-align-middle">↵</span>
    </div>

    <div aria-hidden="true" class="border rounded-2 flex-shrink-0 color-bg-subtle px-1 color-fg-muted ml-1 f6 d-none d-on-nav-focus js-jump-to-badge-jump">
      Jump to
      <span class="d-inline-block ml-1 v-align-middle">↵</span>
    </div>
  </a>
</li>


<li class="d-flex flex-justify-start flex-items-center p-0 f5 navigation-item js-navigation-item js-jump-to-global-search d-none" role="option">
  <a tabindex="-1" class="no-underline d-flex flex-auto flex-items-center jump-to-suggestions-path js-jump-to-suggestion-path js-navigation-open p-2" href="" data-item-type="global_search">
    <div class="jump-to-octicon js-jump-to-octicon flex-shrink-0 mr-2 text-center d-none">
      <svg title="Repository" aria-label="Repository" role="img" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-repo js-jump-to-octicon-repo d-none flex-shrink-0">
    <path fill-rule="evenodd" d="M2 2.5A2.5 2.5 0 014.5 0h8.75a.75.75 0 01.75.75v12.5a.75.75 0 01-.75.75h-2.5a.75.75 0 110-1.5h1.75v-2h-8a1 1 0 00-.714 1.7.75.75 0 01-1.072 1.05A2.495 2.495 0 012 11.5v-9zm10.5-1V9h-8c-.356 0-.694.074-1 .208V2.5a1 1 0 011-1h8zM5 12.25v3.25a.25.25 0 00.4.2l1.45-1.087a.25.25 0 01.3 0L8.6 15.7a.25.25 0 00.4-.2v-3.25a.25.25 0 00-.25-.25h-3.5a.25.25 0 00-.25.25z"></path>
</svg>
      <svg title="Project" aria-label="Project" role="img" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-project js-jump-to-octicon-project d-none flex-shrink-0">
    <path fill-rule="evenodd" d="M1.75 0A1.75 1.75 0 000 1.75v12.5C0 15.216.784 16 1.75 16h12.5A1.75 1.75 0 0016 14.25V1.75A1.75 1.75 0 0014.25 0H1.75zM1.5 1.75a.25.25 0 01.25-.25h12.5a.25.25 0 01.25.25v12.5a.25.25 0 01-.25.25H1.75a.25.25 0 01-.25-.25V1.75zM11.75 3a.75.75 0 00-.75.75v7.5a.75.75 0 001.5 0v-7.5a.75.75 0 00-.75-.75zm-8.25.75a.75.75 0 011.5 0v5.5a.75.75 0 01-1.5 0v-5.5zM8 3a.75.75 0 00-.75.75v3.5a.75.75 0 001.5 0v-3.5A.75.75 0 008 3z"></path>
</svg>
      <svg title="Search" aria-label="Search" role="img" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-search js-jump-to-octicon-search d-none flex-shrink-0">
    <path fill-rule="evenodd" d="M11.5 7a4.499 4.499 0 11-8.998 0A4.499 4.499 0 0111.5 7zm-.82 4.74a6 6 0 111.06-1.06l3.04 3.04a.75.75 0 11-1.06 1.06l-3.04-3.04z"></path>
</svg>
    </div>

    <img class="avatar mr-2 flex-shrink-0 js-jump-to-suggestion-avatar d-none" alt="" aria-label="Team" src="" width="28" height="28">

    <div class="jump-to-suggestion-name js-jump-to-suggestion-name flex-auto overflow-hidden text-left no-wrap css-truncate css-truncate-target">
    </div>

    <div class="border rounded-2 flex-shrink-0 color-bg-subtle px-1 color-fg-muted ml-1 f6 d-none js-jump-to-badge-search">
      <span class="js-jump-to-badge-search-text-default d-none" aria-label="in this repository">
        In this repository
      </span>
      <span class="js-jump-to-badge-search-text-global d-none" aria-label="in all of GitHub">
        All GitHub
      </span>
      <span aria-hidden="true" class="d-inline-block ml-1 v-align-middle">↵</span>
    </div>

    <div aria-hidden="true" class="border rounded-2 flex-shrink-0 color-bg-subtle px-1 color-fg-muted ml-1 f6 d-none d-on-nav-focus js-jump-to-badge-jump">
      Jump to
      <span class="d-inline-block ml-1 v-align-middle">↵</span>
    </div>
  </a>
</li>


</ul>

          </div>
      </label>
</form>  </div>
</div>

          </div>

        <div class="position-relative mr-3 mb-4 mb-lg-0 d-inline-block">
          <a href="/login?return_to=https%3A%2F%2Fgithub.com%2FPaddlePaddle%2FPaddleOCR%2Fblob%2Fdygraph%2Fapplications%2F%25E8%25BD%25BB%25E9%2587%258F%25E7%25BA%25A7%25E8%25BD%25A6%25E7%2589%258C%25E8%25AF%2586%25E5%2588%25AB.md"
            class="HeaderMenu-link flex-shrink-0 no-underline"
            data-hydro-click="{&quot;event_type&quot;:&quot;authentication.click&quot;,&quot;payload&quot;:{&quot;location_in_page&quot;:&quot;site header menu&quot;,&quot;repository_id&quot;:null,&quot;auth_type&quot;:&quot;SIGN_UP&quot;,&quot;originating_url&quot;:&quot;https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md&quot;,&quot;user_id&quot;:null}}" data-hydro-click-hmac="0de5d29e004c06e7301cb66a02d668f7cd98725fd6fa97ab9b512671e1a9905b"
            data-ga-click="(Logged out) Header, clicked Sign in, text:sign-in">
            Sign in
          </a>
        </div>

          <a href="/signup?ref_cta=Sign+up&amp;ref_loc=header+logged+out&amp;ref_page=%2F%3Cuser-name%3E%2F%3Crepo-name%3E%2Fblob%2Fshow&amp;source=header-repo&amp;source_repo=PaddlePaddle%2FPaddleOCR"
            class="HeaderMenu-link flex-shrink-0 d-inline-block no-underline border color-border-default rounded px-2 py-1"
            data-hydro-click="{&quot;event_type&quot;:&quot;authentication.click&quot;,&quot;payload&quot;:{&quot;location_in_page&quot;:&quot;site header menu&quot;,&quot;repository_id&quot;:null,&quot;auth_type&quot;:&quot;SIGN_UP&quot;,&quot;originating_url&quot;:&quot;https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md&quot;,&quot;user_id&quot;:null}}" data-hydro-click-hmac="0de5d29e004c06e7301cb66a02d668f7cd98725fd6fa97ab9b512671e1a9905b"
            data-analytics-event="{&quot;category&quot;:&quot;Sign up&quot;,&quot;action&quot;:&quot;click to sign up for account&quot;,&quot;label&quot;:&quot;ref_page:/&lt;user-name&gt;/&lt;repo-name&gt;/blob/show;ref_cta:Sign up;ref_loc:header logged out&quot;}"
          >
            Sign up
          </a>
      </div>
    </div>
  </div>
</header>

    </div>

  <div id="start-of-content" class="show-on-focus"></div>


    <div data-pjax-replace id="js-flash-container" data-turbo-replace>


  <template class="js-flash-template">
    <div class="flash flash-full  {{ className }}">
  <div class="px-2" >
    <button class="flash-close js-flash-close" type="button" aria-label="Dismiss this message">
      <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-x">
    <path fill-rule="evenodd" d="M3.72 3.72a.75.75 0 011.06 0L8 6.94l3.22-3.22a.75.75 0 111.06 1.06L9.06 8l3.22 3.22a.75.75 0 11-1.06 1.06L8 9.06l-3.22 3.22a.75.75 0 01-1.06-1.06L6.94 8 3.72 4.78a.75.75 0 010-1.06z"></path>
</svg>
    </button>

      <div>{{ message }}</div>

  </div>
</div>
  </template>
</div>


  <include-fragment class="js-notification-shelf-include-fragment" data-base-src="https://github.com/notifications/beta/shelf"></include-fragment>


  <div
    class="application-main "
    data-commit-hovercards-enabled
    data-discussion-hovercards-enabled
    data-issue-and-pr-hovercards-enabled
  >
        <div itemscope itemtype="http://schema.org/SoftwareSourceCode" class="">
    <main id="js-repo-pjax-container" data-pjax-container >


  <div id="repository-container-header" class="pt-3 hide-full-screen" style="background-color: var(--color-page-header-bg);" data-pjax-replace data-turbo-replace>

      <div class="d-flex mb-3 px-3 px-md-4 px-lg-5">

        <div class="flex-auto min-width-0 width-fit mr-3">
            <div class=" d-flex flex-wrap flex-items-center wb-break-word f3 text-normal">
    <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-repo color-fg-muted mr-2">
    <path fill-rule="evenodd" d="M2 2.5A2.5 2.5 0 014.5 0h8.75a.75.75 0 01.75.75v12.5a.75.75 0 01-.75.75h-2.5a.75.75 0 110-1.5h1.75v-2h-8a1 1 0 00-.714 1.7.75.75 0 01-1.072 1.05A2.495 2.495 0 012 11.5v-9zm10.5-1V9h-8c-.356 0-.694.074-1 .208V2.5a1 1 0 011-1h8zM5 12.25v3.25a.25.25 0 00.4.2l1.45-1.087a.25.25 0 01.3 0L8.6 15.7a.25.25 0 00.4-.2v-3.25a.25.25 0 00-.25-.25h-3.5a.25.25 0 00-.25.25z"></path>
</svg>
  <span class="author flex-self-stretch" itemprop="author">
    <a class="url fn" rel="author" data-hovercard-type="organization" data-hovercard-url="/orgs/PaddlePaddle/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="/PaddlePaddle">PaddlePaddle</a>
  </span>
  <span class="mx-1 flex-self-stretch color-fg-muted">/</span>
  <strong itemprop="name" class="mr-2 flex-self-stretch">
    <a data-pjax="#repo-content-pjax-container" href="/PaddlePaddle/PaddleOCR">PaddleOCR</a>
  </strong>

  <span></span><span class="Label Label--secondary v-align-middle mr-1">Public</span>
</div>

        </div>

          <ul class="pagehead-actions flex-shrink-0 d-none d-md-inline" style="padding: 2px 0;">


  <li>
      <a href="/login?return_to=%2FPaddlePaddle%2FPaddleOCR" rel="nofollow" data-hydro-click="{&quot;event_type&quot;:&quot;authentication.click&quot;,&quot;payload&quot;:{&quot;location_in_page&quot;:&quot;notification subscription menu watch&quot;,&quot;repository_id&quot;:null,&quot;auth_type&quot;:&quot;LOG_IN&quot;,&quot;originating_url&quot;:&quot;https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md&quot;,&quot;user_id&quot;:null}}" data-hydro-click-hmac="2c00da16a0d8d066b49f1f6e26149784faffba39c427495160ebf3bac257b4a9" aria-label="You must be signed in to change notification settings" data-view-component="true" class="tooltipped tooltipped-s btn-sm btn">  <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-bell mr-2">
    <path d="M8 16a2 2 0 001.985-1.75c.017-.137-.097-.25-.235-.25h-3.5c-.138 0-.252.113-.235.25A2 2 0 008 16z"></path><path fill-rule="evenodd" d="M8 1.5A3.5 3.5 0 004.5 5v2.947c0 .346-.102.683-.294.97l-1.703 2.556a.018.018 0 00-.003.01l.001.006c0 .002.002.004.004.006a.017.017 0 00.006.004l.007.001h10.964l.007-.001a.016.016 0 00.006-.004.016.016 0 00.004-.006l.001-.007a.017.017 0 00-.003-.01l-1.703-2.554a1.75 1.75 0 01-.294-.97V5A3.5 3.5 0 008 1.5zM3 5a5 5 0 0110 0v2.947c0 .05.015.098.042.139l1.703 2.555A1.518 1.518 0 0113.482 13H2.518a1.518 1.518 0 01-1.263-2.36l1.703-2.554A.25.25 0 003 7.947V5z"></path>
</svg>Notifications

</a>
  </li>

  <li>
        <a href="/login?return_to=%2FPaddlePaddle%2FPaddleOCR" rel="nofollow" data-hydro-click="{&quot;event_type&quot;:&quot;authentication.click&quot;,&quot;payload&quot;:{&quot;location_in_page&quot;:&quot;repo details fork button&quot;,&quot;repository_id&quot;:262296122,&quot;auth_type&quot;:&quot;LOG_IN&quot;,&quot;originating_url&quot;:&quot;https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md&quot;,&quot;user_id&quot;:null}}" data-hydro-click-hmac="f55097530c92c084f3a79350400121a7c267c872da2b69858747a12db51b5c71" aria-label="You must be signed in to fork a repository" data-view-component="true" class="tooltipped tooltipped-s btn-sm btn">  <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-repo-forked mr-2">
    <path fill-rule="evenodd" d="M5 3.25a.75.75 0 11-1.5 0 .75.75 0 011.5 0zm0 2.122a2.25 2.25 0 10-1.5 0v.878A2.25 2.25 0 005.75 8.5h1.5v2.128a2.251 2.251 0 101.5 0V8.5h1.5a2.25 2.25 0 002.25-2.25v-.878a2.25 2.25 0 10-1.5 0v.878a.75.75 0 01-.75.75h-4.5A.75.75 0 015 6.25v-.878zm3.75 7.378a.75.75 0 11-1.5 0 .75.75 0 011.5 0zm3-8.75a.75.75 0 100-1.5.75.75 0 000 1.5z"></path>
</svg>Fork
    <span id="repo-network-counter" data-pjax-replace="true" title="4,668" data-view-component="true" class="Counter">4.7k</span>

</a>
  </li>

  <li>
        <div data-view-component="true" class="BtnGroup d-flex">
      <a href="/login?return_to=%2FPaddlePaddle%2FPaddleOCR" rel="nofollow" data-hydro-click="{&quot;event_type&quot;:&quot;authentication.click&quot;,&quot;payload&quot;:{&quot;location_in_page&quot;:&quot;star button&quot;,&quot;repository_id&quot;:262296122,&quot;auth_type&quot;:&quot;LOG_IN&quot;,&quot;originating_url&quot;:&quot;https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md&quot;,&quot;user_id&quot;:null}}" data-hydro-click-hmac="93ad0192b3e15b4610691426f776e3dab114d4c7666db7f44c0d706f50c74c23" aria-label="You must be signed in to star a repository" data-view-component="true" class="tooltipped tooltipped-s btn-sm btn BtnGroup-item">  <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-star v-align-text-bottom d-inline-block mr-2">
    <path fill-rule="evenodd" d="M8 .25a.75.75 0 01.673.418l1.882 3.815 4.21.612a.75.75 0 01.416 1.279l-3.046 2.97.719 4.192a.75.75 0 01-1.088.791L8 12.347l-3.766 1.98a.75.75 0 01-1.088-.79l.72-4.194L.818 6.374a.75.75 0 01.416-1.28l4.21-.611L7.327.668A.75.75 0 018 .25zm0 2.445L6.615 5.5a.75.75 0 01-.564.41l-3.097.45 2.24 2.184a.75.75 0 01.216.664l-.528 3.084 2.769-1.456a.75.75 0 01.698 0l2.77 1.456-.53-3.084a.75.75 0 01.216-.664l2.24-2.183-3.096-.45a.75.75 0 01-.564-.41L8 2.694v.001z"></path>
</svg><span data-view-component="true" class="d-inline">
          Star
</span>          <span id="repo-stars-counter-star" aria-label="22861 users starred this repository" data-singular-suffix="user starred this repository" data-plural-suffix="users starred this repository" data-pjax-replace="true" data-turbo-replace="true" title="22,861" data-view-component="true" class="Counter js-social-count">22.9k</span>

</a>      <button disabled="disabled" aria-label="You must be signed in to add this repository to a list" type="button" data-view-component="true" class="btn-sm btn BtnGroup-item px-2">  <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-triangle-down">
    <path d="M4.427 7.427l3.396 3.396a.25.25 0 00.354 0l3.396-3.396A.25.25 0 0011.396 7H4.604a.25.25 0 00-.177.427z"></path>
</svg>

</button></div>
  </li>


</ul>

      </div>

      <div id="responsive-meta-container" data-pjax-replace data-turbo-replace>
</div>


<nav data-pjax="#js-repo-pjax-container" aria-label="Repository" data-view-component="true" class="js-repo-nav js-sidenav-container-pjax js-responsive-underlinenav overflow-hidden UnderlineNav px-3 px-md-4 px-lg-5">

  <ul data-view-component="true" class="UnderlineNav-body list-style-none">
      <li data-view-component="true" class="d-inline-flex">
  <a id="code-tab" href="/PaddlePaddle/PaddleOCR/tree/dygraph" data-tab-item="i0code-tab" data-selected-links="repo_source repo_downloads repo_commits repo_releases repo_tags repo_branches repo_packages repo_deployments /PaddlePaddle/PaddleOCR/tree/dygraph" data-pjax="#repo-content-pjax-container" data-hotkey="g c" data-ga-click="Repository, Navigation click, Code tab" aria-current="page" data-view-component="true" class="UnderlineNav-item no-wrap js-responsive-underlinenav-item js-selected-navigation-item selected">

                  <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-code UnderlineNav-octicon d-none d-sm-inline">
    <path fill-rule="evenodd" d="M4.72 3.22a.75.75 0 011.06 1.06L2.06 8l3.72 3.72a.75.75 0 11-1.06 1.06L.47 8.53a.75.75 0 010-1.06l4.25-4.25zm6.56 0a.75.75 0 10-1.06 1.06L13.94 8l-3.72 3.72a.75.75 0 101.06 1.06l4.25-4.25a.75.75 0 000-1.06l-4.25-4.25z"></path>
</svg>
          <span data-content="Code">Code</span>
            <span id="code-repo-tab-count" data-pjax-replace="" title="Not available" data-view-component="true" class="Counter"></span>


</a></li>
      <li data-view-component="true" class="d-inline-flex">
  <a id="issues-tab" href="/PaddlePaddle/PaddleOCR/issues" data-tab-item="i1issues-tab" data-selected-links="repo_issues repo_labels repo_milestones /PaddlePaddle/PaddleOCR/issues" data-pjax="#repo-content-pjax-container" data-hotkey="g i" data-ga-click="Repository, Navigation click, Issues tab" data-view-component="true" class="UnderlineNav-item no-wrap js-responsive-underlinenav-item js-selected-navigation-item">

                  <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-issue-opened UnderlineNav-octicon d-none d-sm-inline">
    <path d="M8 9.5a1.5 1.5 0 100-3 1.5 1.5 0 000 3z"></path><path fill-rule="evenodd" d="M8 0a8 8 0 100 16A8 8 0 008 0zM1.5 8a6.5 6.5 0 1113 0 6.5 6.5 0 01-13 0z"></path>
</svg>
          <span data-content="Issues">Issues</span>
            <span id="issues-repo-tab-count" data-pjax-replace="" title="1,078" data-view-component="true" class="Counter">1.1k</span>


</a></li>
      <li data-view-component="true" class="d-inline-flex">
  <a id="pull-requests-tab" href="/PaddlePaddle/PaddleOCR/pulls" data-tab-item="i2pull-requests-tab" data-selected-links="repo_pulls checks /PaddlePaddle/PaddleOCR/pulls" data-pjax="#repo-content-pjax-container" data-hotkey="g p" data-ga-click="Repository, Navigation click, Pull requests tab" data-view-component="true" class="UnderlineNav-item no-wrap js-responsive-underlinenav-item js-selected-navigation-item">

                  <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-git-pull-request UnderlineNav-octicon d-none d-sm-inline">
    <path fill-rule="evenodd" d="M7.177 3.073L9.573.677A.25.25 0 0110 .854v4.792a.25.25 0 01-.427.177L7.177 3.427a.25.25 0 010-.354zM3.75 2.5a.75.75 0 100 1.5.75.75 0 000-1.5zm-2.25.75a2.25 2.25 0 113 2.122v5.256a2.251 2.251 0 11-1.5 0V5.372A2.25 2.25 0 011.5 3.25zM11 2.5h-1V4h1a1 1 0 011 1v5.628a2.251 2.251 0 101.5 0V5A2.5 2.5 0 0011 2.5zm1 10.25a.75.75 0 111.5 0 .75.75 0 01-1.5 0zM3.75 12a.75.75 0 100 1.5.75.75 0 000-1.5z"></path>
</svg>
          <span data-content="Pull requests">Pull requests</span>
            <span id="pull-requests-repo-tab-count" data-pjax-replace="" title="98" data-view-component="true" class="Counter">98</span>


</a></li>
      <li data-view-component="true" class="d-inline-flex">
  <a id="discussions-tab" href="/PaddlePaddle/PaddleOCR/discussions" data-tab-item="i3discussions-tab" data-selected-links="repo_discussions /PaddlePaddle/PaddleOCR/discussions" data-pjax="#repo-content-pjax-container" data-hotkey="g g" data-ga-click="Repository, Navigation click, Discussions tab" data-view-component="true" class="UnderlineNav-item no-wrap js-responsive-underlinenav-item js-selected-navigation-item">

                  <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-comment-discussion UnderlineNav-octicon d-none d-sm-inline">
    <path fill-rule="evenodd" d="M1.5 2.75a.25.25 0 01.25-.25h8.5a.25.25 0 01.25.25v5.5a.25.25 0 01-.25.25h-3.5a.75.75 0 00-.53.22L3.5 11.44V9.25a.75.75 0 00-.75-.75h-1a.25.25 0 01-.25-.25v-5.5zM1.75 1A1.75 1.75 0 000 2.75v5.5C0 9.216.784 10 1.75 10H2v1.543a1.457 1.457 0 002.487 1.03L7.061 10h3.189A1.75 1.75 0 0012 8.25v-5.5A1.75 1.75 0 0010.25 1h-8.5zM14.5 4.75a.25.25 0 00-.25-.25h-.5a.75.75 0 110-1.5h.5c.966 0 1.75.784 1.75 1.75v5.5A1.75 1.75 0 0114.25 12H14v1.543a1.457 1.457 0 01-2.487 1.03L9.22 12.28a.75.75 0 111.06-1.06l2.22 2.22v-2.19a.75.75 0 01.75-.75h1a.25.25 0 00.25-.25v-5.5z"></path>
</svg>
          <span data-content="Discussions">Discussions</span>
            <span id="discussions-repo-tab-count" data-pjax-replace="" title="Not available" data-view-component="true" class="Counter"></span>


</a></li>
      <li data-view-component="true" class="d-inline-flex">
  <a id="actions-tab" href="/PaddlePaddle/PaddleOCR/actions" data-tab-item="i4actions-tab" data-selected-links="repo_actions /PaddlePaddle/PaddleOCR/actions" data-pjax="#repo-content-pjax-container" data-hotkey="g a" data-analytics-event="{&quot;category&quot;:&quot;Actions&quot;,&quot;action&quot;:&quot;clicked&quot;,&quot;label&quot;:&quot;ref_cta:Actions;ref_loc:navigation_helper&quot;}" data-view-component="true" class="UnderlineNav-item no-wrap js-responsive-underlinenav-item js-selected-navigation-item">

                  <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-play UnderlineNav-octicon d-none d-sm-inline">
    <path fill-rule="evenodd" d="M1.5 8a6.5 6.5 0 1113 0 6.5 6.5 0 01-13 0zM8 0a8 8 0 100 16A8 8 0 008 0zM6.379 5.227A.25.25 0 006 5.442v5.117a.25.25 0 00.379.214l4.264-2.559a.25.25 0 000-.428L6.379 5.227z"></path>
</svg>
          <span data-content="Actions">Actions</span>
            <span id="actions-repo-tab-count" data-pjax-replace="" title="Not available" data-view-component="true" class="Counter"></span>


</a></li>
      <li data-view-component="true" class="d-inline-flex">
  <a id="projects-tab" href="/PaddlePaddle/PaddleOCR/projects?type=beta" data-tab-item="i5projects-tab" data-selected-links="repo_projects new_repo_project repo_project /PaddlePaddle/PaddleOCR/projects?type=beta" data-pjax="#repo-content-pjax-container" data-hotkey="g b" data-ga-click="Repository, Navigation click, Projects tab" data-view-component="true" class="UnderlineNav-item no-wrap js-responsive-underlinenav-item js-selected-navigation-item">

                  <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-table UnderlineNav-octicon d-none d-sm-inline">
    <path fill-rule="evenodd" d="M0 1.75C0 .784.784 0 1.75 0h12.5C15.216 0 16 .784 16 1.75v3.585a.746.746 0 010 .83v8.085A1.75 1.75 0 0114.25 16H6.309a.748.748 0 01-1.118 0H1.75A1.75 1.75 0 010 14.25V6.165a.746.746 0 010-.83V1.75zM1.5 6.5v7.75c0 .138.112.25.25.25H5v-8H1.5zM5 5H1.5V1.75a.25.25 0 01.25-.25H5V5zm1.5 1.5v8h7.75a.25.25 0 00.25-.25V6.5h-8zm8-1.5h-8V1.5h7.75a.25.25 0 01.25.25V5z"></path>
</svg>
          <span data-content="Projects">Projects</span>
            <span id="projects-repo-tab-count" data-pjax-replace="" title="0" hidden="hidden" data-view-component="true" class="Counter">0</span>


</a></li>
      <li data-view-component="true" class="d-inline-flex">
  <a id="wiki-tab" href="/PaddlePaddle/PaddleOCR/wiki" data-tab-item="i6wiki-tab" data-selected-links="repo_wiki /PaddlePaddle/PaddleOCR/wiki" data-pjax="#repo-content-pjax-container" data-hotkey="g w" data-ga-click="Repository, Navigation click, Wikis tab" data-view-component="true" class="UnderlineNav-item no-wrap js-responsive-underlinenav-item js-selected-navigation-item">

                  <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-book UnderlineNav-octicon d-none d-sm-inline">
    <path fill-rule="evenodd" d="M0 1.75A.75.75 0 01.75 1h4.253c1.227 0 2.317.59 3 1.501A3.744 3.744 0 0111.006 1h4.245a.75.75 0 01.75.75v10.5a.75.75 0 01-.75.75h-4.507a2.25 2.25 0 00-1.591.659l-.622.621a.75.75 0 01-1.06 0l-.622-.621A2.25 2.25 0 005.258 13H.75a.75.75 0 01-.75-.75V1.75zm8.755 3a2.25 2.25 0 012.25-2.25H14.5v9h-3.757c-.71 0-1.4.201-1.992.572l.004-7.322zm-1.504 7.324l.004-5.073-.002-2.253A2.25 2.25 0 005.003 2.5H1.5v9h3.757a3.75 3.75 0 011.994.574z"></path>
</svg>
          <span data-content="Wiki">Wiki</span>
            <span id="wiki-repo-tab-count" data-pjax-replace="" title="Not available" data-view-component="true" class="Counter"></span>


</a></li>
      <li data-view-component="true" class="d-inline-flex">
  <a id="security-tab" href="/PaddlePaddle/PaddleOCR/security" data-tab-item="i7security-tab" data-selected-links="security overview alerts policy token_scanning code_scanning /PaddlePaddle/PaddleOCR/security" data-pjax="#repo-content-pjax-container" data-hotkey="g s" data-ga-click="Repository, Navigation click, Security tab" data-view-component="true" class="UnderlineNav-item no-wrap js-responsive-underlinenav-item js-selected-navigation-item">

                  <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-shield UnderlineNav-octicon d-none d-sm-inline">
    <path fill-rule="evenodd" d="M7.467.133a1.75 1.75 0 011.066 0l5.25 1.68A1.75 1.75 0 0115 3.48V7c0 1.566-.32 3.182-1.303 4.682-.983 1.498-2.585 2.813-5.032 3.855a1.7 1.7 0 01-1.33 0c-2.447-1.042-4.049-2.357-5.032-3.855C1.32 10.182 1 8.566 1 7V3.48a1.75 1.75 0 011.217-1.667l5.25-1.68zm.61 1.429a.25.25 0 00-.153 0l-5.25 1.68a.25.25 0 00-.174.238V7c0 1.358.275 2.666 1.057 3.86.784 1.194 2.121 2.34 4.366 3.297a.2.2 0 00.154 0c2.245-.956 3.582-2.104 4.366-3.298C13.225 9.666 13.5 8.36 13.5 7V3.48a.25.25 0 00-.174-.237l-5.25-1.68zM9 10.5a1 1 0 11-2 0 1 1 0 012 0zm-.25-5.75a.75.75 0 10-1.5 0v3a.75.75 0 001.5 0v-3z"></path>
</svg>
          <span data-content="Security">Security</span>
            <include-fragment src="/PaddlePaddle/PaddleOCR/security/overall-count" accept="text/fragment+html"></include-fragment>


</a></li>
      <li data-view-component="true" class="d-inline-flex">
  <a id="insights-tab" href="/PaddlePaddle/PaddleOCR/pulse" data-tab-item="i8insights-tab" data-selected-links="repo_graphs repo_contributors dependency_graph dependabot_updates pulse people community /PaddlePaddle/PaddleOCR/pulse" data-pjax="#repo-content-pjax-container" data-ga-click="Repository, Navigation click, Insights tab" data-view-component="true" class="UnderlineNav-item no-wrap js-responsive-underlinenav-item js-selected-navigation-item">

                  <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-graph UnderlineNav-octicon d-none d-sm-inline">
    <path fill-rule="evenodd" d="M1.5 1.75a.75.75 0 00-1.5 0v12.5c0 .414.336.75.75.75h14.5a.75.75 0 000-1.5H1.5V1.75zm14.28 2.53a.75.75 0 00-1.06-1.06L10 7.94 7.53 5.47a.75.75 0 00-1.06 0L3.22 8.72a.75.75 0 001.06 1.06L7 7.06l2.47 2.47a.75.75 0 001.06 0l5.25-5.25z"></path>
</svg>
          <span data-content="Insights">Insights</span>
            <span id="insights-repo-tab-count" data-pjax-replace="" title="Not available" data-view-component="true" class="Counter"></span>


</a></li>
</ul>
    <div style="visibility:hidden;" data-view-component="true" class="UnderlineNav-actions js-responsive-underlinenav-overflow position-absolute pr-3 pr-md-4 pr-lg-5 right-0">      <details data-view-component="true" class="details-overlay details-reset position-relative">
  <summary role="button" data-view-component="true">          <div class="UnderlineNav-item mr-0 border-0">
            <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-kebab-horizontal">
    <path d="M8 9a1.5 1.5 0 100-3 1.5 1.5 0 000 3zM1.5 9a1.5 1.5 0 100-3 1.5 1.5 0 000 3zm13 0a1.5 1.5 0 100-3 1.5 1.5 0 000 3z"></path>
</svg>
            <span class="sr-only">More</span>
          </div>
</summary>
  <div data-view-component="true">          <details-menu role="menu" data-view-component="true" class="dropdown-menu dropdown-menu-sw">

            <ul>
                <li data-menu-item="i0code-tab" hidden>
                  <a role="menuitem" class="js-selected-navigation-item selected dropdown-item" aria-current="page" data-selected-links="repo_source repo_downloads repo_commits repo_releases repo_tags repo_branches repo_packages repo_deployments /PaddlePaddle/PaddleOCR/tree/dygraph" href="/PaddlePaddle/PaddleOCR/tree/dygraph">
                    Code
</a>                </li>
                <li data-menu-item="i1issues-tab" hidden>
                  <a role="menuitem" class="js-selected-navigation-item dropdown-item" data-selected-links="repo_issues repo_labels repo_milestones /PaddlePaddle/PaddleOCR/issues" href="/PaddlePaddle/PaddleOCR/issues">
                    Issues
</a>                </li>
                <li data-menu-item="i2pull-requests-tab" hidden>
                  <a role="menuitem" class="js-selected-navigation-item dropdown-item" data-selected-links="repo_pulls checks /PaddlePaddle/PaddleOCR/pulls" href="/PaddlePaddle/PaddleOCR/pulls">
                    Pull requests
</a>                </li>
                <li data-menu-item="i3discussions-tab" hidden>
                  <a role="menuitem" class="js-selected-navigation-item dropdown-item" data-selected-links="repo_discussions /PaddlePaddle/PaddleOCR/discussions" href="/PaddlePaddle/PaddleOCR/discussions">
                    Discussions
</a>                </li>
                <li data-menu-item="i4actions-tab" hidden>
                  <a role="menuitem" class="js-selected-navigation-item dropdown-item" data-selected-links="repo_actions /PaddlePaddle/PaddleOCR/actions" href="/PaddlePaddle/PaddleOCR/actions">
                    Actions
</a>                </li>
                <li data-menu-item="i5projects-tab" hidden>
                  <a role="menuitem" class="js-selected-navigation-item dropdown-item" data-selected-links="repo_projects new_repo_project repo_project /PaddlePaddle/PaddleOCR/projects?type=beta" href="/PaddlePaddle/PaddleOCR/projects?type=beta">
                    Projects
</a>                </li>
                <li data-menu-item="i6wiki-tab" hidden>
                  <a role="menuitem" class="js-selected-navigation-item dropdown-item" data-selected-links="repo_wiki /PaddlePaddle/PaddleOCR/wiki" href="/PaddlePaddle/PaddleOCR/wiki">
                    Wiki
</a>                </li>
                <li data-menu-item="i7security-tab" hidden>
                  <a role="menuitem" class="js-selected-navigation-item dropdown-item" data-selected-links="security overview alerts policy token_scanning code_scanning /PaddlePaddle/PaddleOCR/security" href="/PaddlePaddle/PaddleOCR/security">
                    Security
</a>                </li>
                <li data-menu-item="i8insights-tab" hidden>
                  <a role="menuitem" class="js-selected-navigation-item dropdown-item" data-selected-links="repo_graphs repo_contributors dependency_graph dependabot_updates pulse people community /PaddlePaddle/PaddleOCR/pulse" href="/PaddlePaddle/PaddleOCR/pulse">
                    Insights
</a>                </li>
            </ul>

</details-menu></div>
</details></div>
</nav>
  </div>


<div id="repo-content-pjax-container" class="repository-content " >


  <div class="clearfix container-xl px-3 px-md-4 px-lg-5 mt-4">


<div>


<a class="d-none js-permalink-shortcut" data-hotkey="y" href="/PaddlePaddle/PaddleOCR/blob/a3dfc10b7824743939976c42db6d50d118e2b3b9/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md">Permalink</a>

<div class="d-flex flex-items-start flex-shrink-0 pb-3 flex-wrap flex-md-nowrap flex-justify-between flex-md-justify-start">

<div class="position-relative">
  <details class="details-reset details-overlay mr-0 mb-0 " id="branch-select-menu">
    <summary class="btn css-truncate"
            data-hotkey="w"
            title="Switch branches or tags">
      <svg text="gray" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-git-branch">
    <path fill-rule="evenodd" d="M11.75 2.5a.75.75 0 100 1.5.75.75 0 000-1.5zm-2.25.75a2.25 2.25 0 113 2.122V6A2.5 2.5 0 0110 8.5H6a1 1 0 00-1 1v1.128a2.251 2.251 0 11-1.5 0V5.372a2.25 2.25 0 111.5 0v1.836A2.492 2.492 0 016 7h4a1 1 0 001-1v-.628A2.25 2.25 0 019.5 3.25zM4.25 12a.75.75 0 100 1.5.75.75 0 000-1.5zM3.5 3.25a.75.75 0 111.5 0 .75.75 0 01-1.5 0z"></path>
</svg>
      <span class="css-truncate-target" data-menu-button>dygraph</span>
      <span class="dropdown-caret"></span>
    </summary>


<div class="SelectMenu">
  <div class="SelectMenu-modal">
    <header class="SelectMenu-header">
      <span class="SelectMenu-title">Switch branches/tags</span>
      <button class="SelectMenu-closeButton" type="button" data-toggle-for="branch-select-menu"><svg aria-label="Close menu" aria-hidden="false" role="img" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-x">
    <path fill-rule="evenodd" d="M3.72 3.72a.75.75 0 011.06 0L8 6.94l3.22-3.22a.75.75 0 111.06 1.06L9.06 8l3.22 3.22a.75.75 0 11-1.06 1.06L8 9.06l-3.22 3.22a.75.75 0 01-1.06-1.06L6.94 8 3.72 4.78a.75.75 0 010-1.06z"></path>
</svg></button>
    </header>

    <input-demux data-action="tab-container-change:input-demux#storeInput tab-container-changed:input-demux#updateInput">
      <tab-container class="d-flex flex-column js-branches-tags-tabs" style="min-height: 0;">
        <div class="SelectMenu-filter">
          <input data-target="input-demux.source"
                 id="context-commitish-filter-field"
                 class="SelectMenu-input form-control"
                 aria-owns="ref-list-branches"
                 data-controls-ref-menu-id="ref-list-branches"
                 autofocus
                 autocomplete="off"
                 aria-label="Filter branches/tags"
                 placeholder="Filter branches/tags"
                 type="text"
          >
        </div>

        <div class="SelectMenu-tabs" role="tablist" data-target="input-demux.control" >
          <button class="SelectMenu-tab" type="button" role="tab" aria-selected="true">Branches</button>
          <button class="SelectMenu-tab" type="button" role="tab">Tags</button>
        </div>

        <div role="tabpanel" id="ref-list-branches" data-filter-placeholder="Filter branches/tags" tabindex="" class="d-flex flex-column flex-auto overflow-auto">
          <ref-selector
            type="branch"
            data-targets="input-demux.sinks"
            data-action="
              input-entered:ref-selector#inputEntered
              tab-selected:ref-selector#tabSelected
              focus-list:ref-selector#focusFirstListMember
            "
            query-endpoint="/PaddlePaddle/PaddleOCR/refs"

            cache-key="v0:1655177037.9190001"
            current-committish="ZHlncmFwaA=="
            default-branch="cmVsZWFzZS8yLjU="
            name-with-owner="UGFkZGxlUGFkZGxlL1BhZGRsZU9DUg=="
            prefetch-on-mouseover
          >

            <template data-target="ref-selector.fetchFailedTemplate">
              <div class="SelectMenu-message" data-index="{{ index }}">Could not load branches</div>
            </template>

              <template data-target="ref-selector.noMatchTemplate">
    <div class="SelectMenu-message">Nothing to show</div>
</template>


            <div data-target="ref-selector.listContainer" role="menu" class="SelectMenu-list " data-pjax="#repo-content-pjax-container">
              <div class="SelectMenu-loading pt-3 pb-0 overflow-hidden" aria-label="Menu is loading">
                <svg style="box-sizing: content-box; color: var(--color-icon-primary);" width="32" height="32" viewBox="0 0 16 16" fill="none" data-view-component="true" class="anim-rotate">
  <circle cx="8" cy="8" r="7" stroke="currentColor" stroke-opacity="0.25" stroke-width="2" vector-effect="non-scaling-stroke" />
  <path d="M15 8a7.002 7.002 0 00-7-7" stroke="currentColor" stroke-width="2" stroke-linecap="round" vector-effect="non-scaling-stroke" />
</svg>
              </div>
            </div>

              <template data-target="ref-selector.itemTemplate">
  <a href="https://github.com/PaddlePaddle/PaddleOCR/blob/{{ urlEncodedRefName }}/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md" class="SelectMenu-item" role="menuitemradio" rel="nofollow" aria-checked="{{ isCurrent }}" data-index="{{ index }}">
    <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-check SelectMenu-icon SelectMenu-icon--check">
    <path fill-rule="evenodd" d="M13.78 4.22a.75.75 0 010 1.06l-7.25 7.25a.75.75 0 01-1.06 0L2.22 9.28a.75.75 0 011.06-1.06L6 10.94l6.72-6.72a.75.75 0 011.06 0z"></path>
</svg>
    <span class="flex-1 css-truncate css-truncate-overflow {{ isFilteringClass }}">{{ refName }}</span>
    <span hidden="{{ isNotDefault }}" class="Label Label--secondary flex-self-start">default</span>
  </a>
</template>


              <footer class="SelectMenu-footer"><a href="/PaddlePaddle/PaddleOCR/branches">View all branches</a></footer>
          </ref-selector>

        </div>

        <div role="tabpanel" id="tags-menu" data-filter-placeholder="Find a tag" tabindex="" hidden class="d-flex flex-column flex-auto overflow-auto">
          <ref-selector
            type="tag"
            data-action="
              input-entered:ref-selector#inputEntered
              tab-selected:ref-selector#tabSelected
              focus-list:ref-selector#focusFirstListMember
            "
            data-targets="input-demux.sinks"
            query-endpoint="/PaddlePaddle/PaddleOCR/refs"
            cache-key="v0:1655177037.9190001"
            current-committish="ZHlncmFwaA=="
            default-branch="cmVsZWFzZS8yLjU="
            name-with-owner="UGFkZGxlUGFkZGxlL1BhZGRsZU9DUg=="
          >

            <template data-target="ref-selector.fetchFailedTemplate">
              <div class="SelectMenu-message" data-index="{{ index }}">Could not load tags</div>
            </template>

            <template data-target="ref-selector.noMatchTemplate">
              <div class="SelectMenu-message" data-index="{{ index }}">Nothing to show</div>
            </template>

              <template data-target="ref-selector.itemTemplate">
  <a href="https://github.com/PaddlePaddle/PaddleOCR/blob/{{ urlEncodedRefName }}/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md" class="SelectMenu-item" role="menuitemradio" rel="nofollow" aria-checked="{{ isCurrent }}" data-index="{{ index }}">
    <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-check SelectMenu-icon SelectMenu-icon--check">
    <path fill-rule="evenodd" d="M13.78 4.22a.75.75 0 010 1.06l-7.25 7.25a.75.75 0 01-1.06 0L2.22 9.28a.75.75 0 011.06-1.06L6 10.94l6.72-6.72a.75.75 0 011.06 0z"></path>
</svg>
    <span class="flex-1 css-truncate css-truncate-overflow {{ isFilteringClass }}">{{ refName }}</span>
    <span hidden="{{ isNotDefault }}" class="Label Label--secondary flex-self-start">default</span>
  </a>
</template>


            <div data-target="ref-selector.listContainer" role="menu" class="SelectMenu-list" data-pjax="#repo-content-pjax-container">
              <div class="SelectMenu-loading pt-3 pb-0 overflow-hidden" aria-label="Menu is loading">
                <svg style="box-sizing: content-box; color: var(--color-icon-primary);" width="32" height="32" viewBox="0 0 16 16" fill="none" data-view-component="true" class="anim-rotate">
  <circle cx="8" cy="8" r="7" stroke="currentColor" stroke-opacity="0.25" stroke-width="2" vector-effect="non-scaling-stroke" />
  <path d="M15 8a7.002 7.002 0 00-7-7" stroke="currentColor" stroke-width="2" stroke-linecap="round" vector-effect="non-scaling-stroke" />
</svg>
              </div>
            </div>
              <footer class="SelectMenu-footer"><a href="/PaddlePaddle/PaddleOCR/tags">View all tags</a></footer>
          </ref-selector>
        </div>
      </tab-container>
    </input-demux>
  </div>
</div>

  </details>

</div>

  <h2 id="blob-path" class="breadcrumb flex-auto flex-self-center min-width-0 text-normal mx-2 width-full width-md-auto flex-order-1 flex-md-order-none mt-3 mt-md-0">
    <span class="js-repo-root text-bold"><span class="js-path-segment d-inline-block wb-break-all"><a data-pjax="#repo-content-pjax-container" href="/PaddlePaddle/PaddleOCR/tree/dygraph"><span>PaddleOCR</span></a></span></span><span class="separator">/</span><span class="js-path-segment d-inline-block wb-break-all"><a data-pjax="#repo-content-pjax-container" href="/PaddlePaddle/PaddleOCR/tree/dygraph/applications"><span>applications</span></a></span><span class="separator">/</span><strong class="final-path">轻量级车牌识别.md</strong>
  </h2>
  <a href="/PaddlePaddle/PaddleOCR/find/dygraph" data-pjax="" data-hotkey="t" data-view-component="true" class="btn mr-2 d-none d-md-block">  Go to file

</a>
  <details id="blob-more-options-details" data-view-component="true" class="details-overlay details-reset position-relative">
  <summary role="button" data-view-component="true" class="btn">  <svg aria-label="More options" role="img" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-kebab-horizontal">
    <path d="M8 9a1.5 1.5 0 100-3 1.5 1.5 0 000 3zM1.5 9a1.5 1.5 0 100-3 1.5 1.5 0 000 3zm13 0a1.5 1.5 0 100-3 1.5 1.5 0 000 3z"></path>
</svg>

</summary>
  <div data-view-component="true">      <ul class="dropdown-menu dropdown-menu-sw">
        <li class="d-block d-md-none">
          <a class="dropdown-item d-flex flex-items-baseline" data-hydro-click="{&quot;event_type&quot;:&quot;repository.click&quot;,&quot;payload&quot;:{&quot;target&quot;:&quot;FIND_FILE_BUTTON&quot;,&quot;repository_id&quot;:262296122,&quot;originating_url&quot;:&quot;https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md&quot;,&quot;user_id&quot;:null}}" data-hydro-click-hmac="719caca13290ec1595dbf25afc93e9874844c0bcf4645d121411be9e6fbaa205" data-ga-click="Repository, find file, location:repo overview" data-hotkey="t" data-pjax="true" href="/PaddlePaddle/PaddleOCR/find/dygraph">
            <span class="flex-auto">Go to file</span>
            <span class="text-small color-fg-muted" aria-hidden="true">T</span>
</a>        </li>
        <li data-toggle-for="blob-more-options-details">
          <button data-toggle-for="jumpto-line-details-dialog" type="button" data-view-component="true" class="dropdown-item btn-link">  <span class="d-flex flex-items-baseline">
              <span class="flex-auto">Go to line</span>
              <span class="text-small color-fg-muted" aria-hidden="true">L</span>
            </span>

</button>        </li>
        <li class="dropdown-divider" role="none"></li>
        <li>
          <clipboard-copy data-toggle-for="blob-more-options-details" aria-label="Copy path" value="applications/轻量级车牌识别.md" data-view-component="true" class="dropdown-item cursor-pointer">

            Copy path

</clipboard-copy>        </li>
        <li>
          <clipboard-copy data-toggle-for="blob-more-options-details" aria-label="Copy permalink" value="https://github.com/PaddlePaddle/PaddleOCR/blob/a3dfc10b7824743939976c42db6d50d118e2b3b9/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md" data-view-component="true" class="dropdown-item cursor-pointer">

            <span class="d-flex flex-items-baseline">
              <span class="flex-auto">Copy permalink</span>
            </span>

</clipboard-copy>        </li>
      </ul>
</div>
</details></div>


    <div id="spoof-warning" class="mt-0 pb-3" hidden aria-hidden>
  <div data-view-component="true" class="flash flash-warn mt-0 clearfix">


    <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-alert float-left mt-1">
    <path fill-rule="evenodd" d="M8.22 1.754a.25.25 0 00-.44 0L1.698 13.132a.25.25 0 00.22.368h12.164a.25.25 0 00.22-.368L8.22 1.754zm-1.763-.707c.659-1.234 2.427-1.234 3.086 0l6.082 11.378A1.75 1.75 0 0114.082 15H1.918a1.75 1.75 0 01-1.543-2.575L6.457 1.047zM9 11a1 1 0 11-2 0 1 1 0 012 0zm-.25-5.25a.75.75 0 00-1.5 0v2.5a.75.75 0 001.5 0v-2.5z"></path>
</svg>

      <div class="overflow-hidden">This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.</div>


</div></div>

    <include-fragment src="/PaddlePaddle/PaddleOCR/spoofed_commit_check/a3dfc10b7824743939976c42db6d50d118e2b3b9" data-test-selector="spoofed-commit-check"></include-fragment>

    <div class="Box d-flex flex-column flex-shrink-0 mb-3">

  <div class="Box-header Details js-details-container">
      <div class="d-flex flex-items-center">
        <span class="flex-shrink-0 ml-n1 mr-n1 mt-n1 mb-n1">
          <a rel="contributor" data-skip-pjax="true" data-hovercard-type="user" data-hovercard-url="/users/MissPenguin/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="/MissPenguin"><img class="avatar avatar-user" src="https://avatars.githubusercontent.com/u/25809855?s=48&amp;v=4" width="24" height="24" alt="@MissPenguin" /></a>
        </span>
        <div class="flex-1 d-flex flex-items-center ml-3 min-width-0">
          <div class="css-truncate css-truncate-overflow">
            <a class="text-bold Link--primary" rel="contributor" data-hovercard-type="user" data-hovercard-url="/users/MissPenguin/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="/MissPenguin">MissPenguin</a>

              <span class="markdown-title">
                <a data-pjax="true" title="Update 轻量级车牌识别.md" class="Link--secondary" href="/PaddlePaddle/PaddleOCR/commit/10a3f2573d8e875c69683a71dc067d9060fb6875">Update 轻量级车牌识别.md</a>
              </span>
          </div>


          <span class="ml-2">
            <include-fragment accept="text/fragment+html" src="/PaddlePaddle/PaddleOCR/commit/10a3f2573d8e875c69683a71dc067d9060fb6875/rollup?direction=e" class="d-inline"></include-fragment>
          </span>
        </div>
        <div class="ml-3 d-flex flex-shrink-0 flex-items-center flex-justify-end color-fg-muted no-wrap">
          <span class="d-none d-md-inline">
            <span>Latest commit</span>
            <a class="text-small text-mono Link--secondary" href="/PaddlePaddle/PaddleOCR/commit/10a3f2573d8e875c69683a71dc067d9060fb6875" data-pjax>10a3f25</a>
            <span itemprop="dateModified"><relative-time datetime="2022-06-15T10:13:01Z" class="no-wrap">Jun 15, 2022</relative-time></span>
          </span>

          <a data-pjax href="/PaddlePaddle/PaddleOCR/commits/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md" class="ml-3 no-wrap Link--primary no-underline">
            <svg text="gray" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-history">
    <path fill-rule="evenodd" d="M1.643 3.143L.427 1.927A.25.25 0 000 2.104V5.75c0 .138.112.25.25.25h3.646a.25.25 0 00.177-.427L2.715 4.215a6.5 6.5 0 11-1.18 4.458.75.75 0 10-1.493.154 8.001 8.001 0 101.6-5.684zM7.75 4a.75.75 0 01.75.75v2.992l2.028.812a.75.75 0 01-.557 1.392l-2.5-1A.75.75 0 017 8.25v-3.5A.75.75 0 017.75 4z"></path>
</svg>
            <span class="d-none d-sm-inline">
              <strong>History</strong>
            </span>
          </a>
        </div>
      </div>

  </div>

  <div class="Box-body d-flex flex-items-center flex-auto border-bottom-0 flex-wrap" >
    <details class="details-reset details-overlay details-overlay-dark lh-default color-fg-default float-left mr-3" id="blob_contributors_box">
      <summary class="Link--primary">
        <svg text="gray" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-people">
    <path fill-rule="evenodd" d="M5.5 3.5a2 2 0 100 4 2 2 0 000-4zM2 5.5a3.5 3.5 0 115.898 2.549 5.507 5.507 0 013.034 4.084.75.75 0 11-1.482.235 4.001 4.001 0 00-7.9 0 .75.75 0 01-1.482-.236A5.507 5.507 0 013.102 8.05 3.49 3.49 0 012 5.5zM11 4a.75.75 0 100 1.5 1.5 1.5 0 01.666 2.844.75.75 0 00-.416.672v.352a.75.75 0 00.574.73c1.2.289 2.162 1.2 2.522 2.372a.75.75 0 101.434-.44 5.01 5.01 0 00-2.56-3.012A3 3 0 0011 4z"></path>
</svg>
        <strong>2</strong>

        contributors
      </summary>
      <details-dialog
        class="Box Box--overlay d-flex flex-column anim-fade-in fast"
        aria-label="Users who have contributed to this file"
        src="/PaddlePaddle/PaddleOCR/contributors-list/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md" preload>
        <div class="Box-header">
          <button class="Box-btn-octicon btn-octicon float-right" type="button" aria-label="Close dialog" data-close-dialog>
            <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-x">
    <path fill-rule="evenodd" d="M3.72 3.72a.75.75 0 011.06 0L8 6.94l3.22-3.22a.75.75 0 111.06 1.06L9.06 8l3.22 3.22a.75.75 0 11-1.06 1.06L8 9.06l-3.22 3.22a.75.75 0 01-1.06-1.06L6.94 8 3.72 4.78a.75.75 0 010-1.06z"></path>
</svg>
          </button>
          <h3 class="Box-title">
            Users who have contributed to this file
          </h3>
        </div>
        <include-fragment>
          <svg style="box-sizing: content-box; color: var(--color-icon-primary);" width="32" height="32" viewBox="0 0 16 16" fill="none" data-view-component="true" class="my-3 mx-auto d-block anim-rotate">
  <circle cx="8" cy="8" r="7" stroke="currentColor" stroke-opacity="0.25" stroke-width="2" vector-effect="non-scaling-stroke" />
  <path d="M15 8a7.002 7.002 0 00-7-7" stroke="currentColor" stroke-width="2" stroke-linecap="round" vector-effect="non-scaling-stroke" />
</svg>
        </include-fragment>
      </details-dialog>
    </details>
      <span class="">
    <a class="avatar-link" data-hovercard-type="user" data-hovercard-url="/users/WenmuZhou/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="/PaddlePaddle/PaddleOCR/commits/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md?author=WenmuZhou">
      <img class="avatar mr-2 avatar-user" src="https://avatars.githubusercontent.com/u/12406017?s=48&amp;v=4" width="24" height="24" alt="@WenmuZhou" />
</a>    <a class="avatar-link" data-hovercard-type="user" data-hovercard-url="/users/MissPenguin/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="/PaddlePaddle/PaddleOCR/commits/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md?author=MissPenguin">
      <img class="avatar mr-2 avatar-user" src="https://avatars.githubusercontent.com/u/25809855?s=48&amp;v=4" width="24" height="24" alt="@MissPenguin" />
</a>
</span>

  </div>
</div>


    <readme-toc>

    <div data-target="readme-toc.content" class="Box mt-3 position-relative">

  <div
    class="Box-header js-blob-header blob-header js-sticky js-position-sticky top-0 p-2 d-flex flex-shrink-0 flex-md-row flex-items-center"
    style="position: sticky; z-index: 1;"
  >

      <details
  data-target="readme-toc.trigger"
  data-menu-hydro-click="{&quot;event_type&quot;:&quot;repository_toc_menu.click&quot;,&quot;payload&quot;:{&quot;target&quot;:&quot;trigger&quot;,&quot;repository_id&quot;:262296122,&quot;originating_url&quot;:&quot;https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md&quot;,&quot;user_id&quot;:null}}"
  data-menu-hydro-click-hmac="532f79aab7b37e9668b558163fc4a6d01f017a94245e04831a2e20c0a43fff35"
  class="dropdown details-reset details-overlay"
>
  <summary
    class="btn btn-octicon m-0 mr-2 p-2"
    aria-haspopup="true"
    aria-label="Table of Contents">
    <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-list-unordered">
    <path fill-rule="evenodd" d="M2 4a1 1 0 100-2 1 1 0 000 2zm3.75-1.5a.75.75 0 000 1.5h8.5a.75.75 0 000-1.5h-8.5zm0 5a.75.75 0 000 1.5h8.5a.75.75 0 000-1.5h-8.5zm0 5a.75.75 0 000 1.5h8.5a.75.75 0 000-1.5h-8.5zM3 8a1 1 0 11-2 0 1 1 0 012 0zm-1 6a1 1 0 100-2 1 1 0 000 2z"></path>
</svg>
  </summary>


  <details-menu class="SelectMenu" role="menu">
    <div class="SelectMenu-modal rounded-3 mt-1" style="max-height:340px;">

        <div class="SelectMenu-filter">
          <input
            class="SelectMenu-input form-control js-filterable-field"
            id="toc-filter-field"
            type="text"
            autocomplete="off"
            spellcheck="false"
            autofocus
            placeholder="Filter headings"
            aria-label="Filter headings">
        </div>

      <div class="SelectMenu-list SelectMenu-list--borderless p-2" style="overscroll-behavior: contain;" data-filterable-for="toc-filter-field" data-filterable-type="substring">
          <a role="menuitem" class="filter-item SelectMenu-item ws-normal wb-break-word line-clamp-2 py-1 text-emphasized" style="-webkit-box-orient: vertical; padding-left: 12px;" data-action="click:readme-toc#blur" data-targets="readme-toc.entries" data-hydro-click="{&quot;event_type&quot;:&quot;repository_toc_menu.click&quot;,&quot;payload&quot;:{&quot;target&quot;:&quot;entry&quot;,&quot;repository_id&quot;:262296122,&quot;originating_url&quot;:&quot;https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md&quot;,&quot;user_id&quot;:null}}" data-hydro-click-hmac="f16ce9e8c1e9aa2401c6c9022492741b158c7acb5e15ff56a78b4eb7f8928d6e" href="#一种基于paddleocr的轻量级车牌识别模型">一种基于PaddleOCR的轻量级车牌识别模型</a>
          <a role="menuitem" class="filter-item SelectMenu-item ws-normal wb-break-word line-clamp-2 py-1 " style="-webkit-box-orient: vertical; padding-left: 24px;" data-action="click:readme-toc#blur" data-targets="readme-toc.entries" data-hydro-click="{&quot;event_type&quot;:&quot;repository_toc_menu.click&quot;,&quot;payload&quot;:{&quot;target&quot;:&quot;entry&quot;,&quot;repository_id&quot;:262296122,&quot;originating_url&quot;:&quot;https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md&quot;,&quot;user_id&quot;:null}}" data-hydro-click-hmac="f16ce9e8c1e9aa2401c6c9022492741b158c7acb5e15ff56a78b4eb7f8928d6e" href="#1-项目介绍">1. 项目介绍</a>
          <a role="menuitem" class="filter-item SelectMenu-item ws-normal wb-break-word line-clamp-2 py-1 " style="-webkit-box-orient: vertical; padding-left: 24px;" data-action="click:readme-toc#blur" data-targets="readme-toc.entries" data-hydro-click="{&quot;event_type&quot;:&quot;repository_toc_menu.click&quot;,&quot;payload&quot;:{&quot;target&quot;:&quot;entry&quot;,&quot;repository_id&quot;:262296122,&quot;originating_url&quot;:&quot;https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md&quot;,&quot;user_id&quot;:null}}" data-hydro-click-hmac="f16ce9e8c1e9aa2401c6c9022492741b158c7acb5e15ff56a78b4eb7f8928d6e" href="#2-环境搭建">2. 环境搭建</a>
          <a role="menuitem" class="filter-item SelectMenu-item ws-normal wb-break-word line-clamp-2 py-1 " style="-webkit-box-orient: vertical; padding-left: 24px;" data-action="click:readme-toc#blur" data-targets="readme-toc.entries" data-hydro-click="{&quot;event_type&quot;:&quot;repository_toc_menu.click&quot;,&quot;payload&quot;:{&quot;target&quot;:&quot;entry&quot;,&quot;repository_id&quot;:262296122,&quot;originating_url&quot;:&quot;https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md&quot;,&quot;user_id&quot;:null}}" data-hydro-click-hmac="f16ce9e8c1e9aa2401c6c9022492741b158c7acb5e15ff56a78b4eb7f8928d6e" href="#3-数据集准备">3. 数据集准备</a>
          <a role="menuitem" class="filter-item SelectMenu-item ws-normal wb-break-word line-clamp-2 py-1 " style="-webkit-box-orient: vertical; padding-left: 36px;" data-action="click:readme-toc#blur" data-targets="readme-toc.entries" data-hydro-click="{&quot;event_type&quot;:&quot;repository_toc_menu.click&quot;,&quot;payload&quot;:{&quot;target&quot;:&quot;entry&quot;,&quot;repository_id&quot;:262296122,&quot;originating_url&quot;:&quot;https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md&quot;,&quot;user_id&quot;:null}}" data-hydro-click-hmac="f16ce9e8c1e9aa2401c6c9022492741b158c7acb5e15ff56a78b4eb7f8928d6e" href="#31-数据集标注规则">3.1 数据集标注规则</a>
          <a role="menuitem" class="filter-item SelectMenu-item ws-normal wb-break-word line-clamp-2 py-1 " style="-webkit-box-orient: vertical; padding-left: 36px;" data-action="click:readme-toc#blur" data-targets="readme-toc.entries" data-hydro-click="{&quot;event_type&quot;:&quot;repository_toc_menu.click&quot;,&quot;payload&quot;:{&quot;target&quot;:&quot;entry&quot;,&quot;repository_id&quot;:262296122,&quot;originating_url&quot;:&quot;https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md&quot;,&quot;user_id&quot;:null}}" data-hydro-click-hmac="f16ce9e8c1e9aa2401c6c9022492741b158c7acb5e15ff56a78b4eb7f8928d6e" href="#32-制作符合pp-ocr训练格式的标注文件">3.2 制作符合PP-OCR训练格式的标注文件</a>
          <a role="menuitem" class="filter-item SelectMenu-item ws-normal wb-break-word line-clamp-2 py-1 " style="-webkit-box-orient: vertical; padding-left: 24px;" data-action="click:readme-toc#blur" data-targets="readme-toc.entries" data-hydro-click="{&quot;event_type&quot;:&quot;repository_toc_menu.click&quot;,&quot;payload&quot;:{&quot;target&quot;:&quot;entry&quot;,&quot;repository_id&quot;:262296122,&quot;originating_url&quot;:&quot;https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md&quot;,&quot;user_id&quot;:null}}" data-hydro-click-hmac="f16ce9e8c1e9aa2401c6c9022492741b158c7acb5e15ff56a78b4eb7f8928d6e" href="#4-实验">4. 实验</a>
          <a role="menuitem" class="filter-item SelectMenu-item ws-normal wb-break-word line-clamp-2 py-1 " style="-webkit-box-orient: vertical; padding-left: 36px;" data-action="click:readme-toc#blur" data-targets="readme-toc.entries" data-hydro-click="{&quot;event_type&quot;:&quot;repository_toc_menu.click&quot;,&quot;payload&quot;:{&quot;target&quot;:&quot;entry&quot;,&quot;repository_id&quot;:262296122,&quot;originating_url&quot;:&quot;https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md&quot;,&quot;user_id&quot;:null}}" data-hydro-click-hmac="f16ce9e8c1e9aa2401c6c9022492741b158c7acb5e15ff56a78b4eb7f8928d6e" href="#41-检测">4.1 检测</a>
          <a role="menuitem" class="filter-item SelectMenu-item ws-normal wb-break-word line-clamp-2 py-1 " style="-webkit-box-orient: vertical; padding-left: 48px;" data-action="click:readme-toc#blur" data-targets="readme-toc.entries" data-hydro-click="{&quot;event_type&quot;:&quot;repository_toc_menu.click&quot;,&quot;payload&quot;:{&quot;target&quot;:&quot;entry&quot;,&quot;repository_id&quot;:262296122,&quot;originating_url&quot;:&quot;https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md&quot;,&quot;user_id&quot;:null}}" data-hydro-click-hmac="f16ce9e8c1e9aa2401c6c9022492741b158c7acb5e15ff56a78b4eb7f8928d6e" href="#411-预训练模型直接预测">4.1.1 预训练模型直接预测</a>
          <a role="menuitem" class="filter-item SelectMenu-item ws-normal wb-break-word line-clamp-2 py-1 " style="-webkit-box-orient: vertical; padding-left: 48px;" data-action="click:readme-toc#blur" data-targets="readme-toc.entries" data-hydro-click="{&quot;event_type&quot;:&quot;repository_toc_menu.click&quot;,&quot;payload&quot;:{&quot;target&quot;:&quot;entry&quot;,&quot;repository_id&quot;:262296122,&quot;originating_url&quot;:&quot;https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md&quot;,&quot;user_id&quot;:null}}" data-hydro-click-hmac="f16ce9e8c1e9aa2401c6c9022492741b158c7acb5e15ff56a78b4eb7f8928d6e" href="#412-ccpd车牌数据集fine-tune">4.1.2 CCPD车牌数据集fine-tune</a>
          <a role="menuitem" class="filter-item SelectMenu-item ws-normal wb-break-word line-clamp-2 py-1 " style="-webkit-box-orient: vertical; padding-left: 48px;" data-action="click:readme-toc#blur" data-targets="readme-toc.entries" data-hydro-click="{&quot;event_type&quot;:&quot;repository_toc_menu.click&quot;,&quot;payload&quot;:{&quot;target&quot;:&quot;entry&quot;,&quot;repository_id&quot;:262296122,&quot;originating_url&quot;:&quot;https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md&quot;,&quot;user_id&quot;:null}}" data-hydro-click-hmac="f16ce9e8c1e9aa2401c6c9022492741b158c7acb5e15ff56a78b4eb7f8928d6e" href="#413-ccpd车牌数据集fine-tune量化训练">4.1.3 CCPD车牌数据集fine-tune+量化训练</a>
          <a role="menuitem" class="filter-item SelectMenu-item ws-normal wb-break-word line-clamp-2 py-1 " style="-webkit-box-orient: vertical; padding-left: 48px;" data-action="click:readme-toc#blur" data-targets="readme-toc.entries" data-hydro-click="{&quot;event_type&quot;:&quot;repository_toc_menu.click&quot;,&quot;payload&quot;:{&quot;target&quot;:&quot;entry&quot;,&quot;repository_id&quot;:262296122,&quot;originating_url&quot;:&quot;https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md&quot;,&quot;user_id&quot;:null}}" data-hydro-click-hmac="f16ce9e8c1e9aa2401c6c9022492741b158c7acb5e15ff56a78b4eb7f8928d6e" href="#414-模型导出">4.1.4 模型导出</a>
          <a role="menuitem" class="filter-item SelectMenu-item ws-normal wb-break-word line-clamp-2 py-1 " style="-webkit-box-orient: vertical; padding-left: 36px;" data-action="click:readme-toc#blur" data-targets="readme-toc.entries" data-hydro-click="{&quot;event_type&quot;:&quot;repository_toc_menu.click&quot;,&quot;payload&quot;:{&quot;target&quot;:&quot;entry&quot;,&quot;repository_id&quot;:262296122,&quot;originating_url&quot;:&quot;https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md&quot;,&quot;user_id&quot;:null}}" data-hydro-click-hmac="f16ce9e8c1e9aa2401c6c9022492741b158c7acb5e15ff56a78b4eb7f8928d6e" href="#42-识别">4.2 识别</a>
          <a role="menuitem" class="filter-item SelectMenu-item ws-normal wb-break-word line-clamp-2 py-1 " style="-webkit-box-orient: vertical; padding-left: 48px;" data-action="click:readme-toc#blur" data-targets="readme-toc.entries" data-hydro-click="{&quot;event_type&quot;:&quot;repository_toc_menu.click&quot;,&quot;payload&quot;:{&quot;target&quot;:&quot;entry&quot;,&quot;repository_id&quot;:262296122,&quot;originating_url&quot;:&quot;https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md&quot;,&quot;user_id&quot;:null}}" data-hydro-click-hmac="f16ce9e8c1e9aa2401c6c9022492741b158c7acb5e15ff56a78b4eb7f8928d6e" href="#421-预训练模型直接预测">4.2.1 预训练模型直接预测</a>
          <a role="menuitem" class="filter-item SelectMenu-item ws-normal wb-break-word line-clamp-2 py-1 " style="-webkit-box-orient: vertical; padding-left: 48px;" data-action="click:readme-toc#blur" data-targets="readme-toc.entries" data-hydro-click="{&quot;event_type&quot;:&quot;repository_toc_menu.click&quot;,&quot;payload&quot;:{&quot;target&quot;:&quot;entry&quot;,&quot;repository_id&quot;:262296122,&quot;originating_url&quot;:&quot;https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md&quot;,&quot;user_id&quot;:null}}" data-hydro-click-hmac="f16ce9e8c1e9aa2401c6c9022492741b158c7acb5e15ff56a78b4eb7f8928d6e" href="#422-预训练模型直接预测改动后处理">4.2.2 预训练模型直接预测+改动后处理</a>
          <a role="menuitem" class="filter-item SelectMenu-item ws-normal wb-break-word line-clamp-2 py-1 " style="-webkit-box-orient: vertical; padding-left: 48px;" data-action="click:readme-toc#blur" data-targets="readme-toc.entries" data-hydro-click="{&quot;event_type&quot;:&quot;repository_toc_menu.click&quot;,&quot;payload&quot;:{&quot;target&quot;:&quot;entry&quot;,&quot;repository_id&quot;:262296122,&quot;originating_url&quot;:&quot;https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md&quot;,&quot;user_id&quot;:null}}" data-hydro-click-hmac="f16ce9e8c1e9aa2401c6c9022492741b158c7acb5e15ff56a78b4eb7f8928d6e" href="#423-ccpd车牌数据集fine-tune">4.2.3 CCPD车牌数据集fine-tune</a>
          <a role="menuitem" class="filter-item SelectMenu-item ws-normal wb-break-word line-clamp-2 py-1 " style="-webkit-box-orient: vertical; padding-left: 48px;" data-action="click:readme-toc#blur" data-targets="readme-toc.entries" data-hydro-click="{&quot;event_type&quot;:&quot;repository_toc_menu.click&quot;,&quot;payload&quot;:{&quot;target&quot;:&quot;entry&quot;,&quot;repository_id&quot;:262296122,&quot;originating_url&quot;:&quot;https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md&quot;,&quot;user_id&quot;:null}}" data-hydro-click-hmac="f16ce9e8c1e9aa2401c6c9022492741b158c7acb5e15ff56a78b4eb7f8928d6e" href="#424-ccpd车牌数据集fine-tune量化训练">4.2.4 CCPD车牌数据集fine-tune+量化训练</a>
          <a role="menuitem" class="filter-item SelectMenu-item ws-normal wb-break-word line-clamp-2 py-1 " style="-webkit-box-orient: vertical; padding-left: 48px;" data-action="click:readme-toc#blur" data-targets="readme-toc.entries" data-hydro-click="{&quot;event_type&quot;:&quot;repository_toc_menu.click&quot;,&quot;payload&quot;:{&quot;target&quot;:&quot;entry&quot;,&quot;repository_id&quot;:262296122,&quot;originating_url&quot;:&quot;https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md&quot;,&quot;user_id&quot;:null}}" data-hydro-click-hmac="f16ce9e8c1e9aa2401c6c9022492741b158c7acb5e15ff56a78b4eb7f8928d6e" href="#425-模型导出">4.2.5 模型导出</a>
          <a role="menuitem" class="filter-item SelectMenu-item ws-normal wb-break-word line-clamp-2 py-1 " style="-webkit-box-orient: vertical; padding-left: 36px;" data-action="click:readme-toc#blur" data-targets="readme-toc.entries" data-hydro-click="{&quot;event_type&quot;:&quot;repository_toc_menu.click&quot;,&quot;payload&quot;:{&quot;target&quot;:&quot;entry&quot;,&quot;repository_id&quot;:262296122,&quot;originating_url&quot;:&quot;https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md&quot;,&quot;user_id&quot;:null}}" data-hydro-click-hmac="f16ce9e8c1e9aa2401c6c9022492741b158c7acb5e15ff56a78b4eb7f8928d6e" href="#43-计算end2end指标">4.3 计算End2End指标</a>
          <a role="menuitem" class="filter-item SelectMenu-item ws-normal wb-break-word line-clamp-2 py-1 " style="-webkit-box-orient: vertical; padding-left: 36px;" data-action="click:readme-toc#blur" data-targets="readme-toc.entries" data-hydro-click="{&quot;event_type&quot;:&quot;repository_toc_menu.click&quot;,&quot;payload&quot;:{&quot;target&quot;:&quot;entry&quot;,&quot;repository_id&quot;:262296122,&quot;originating_url&quot;:&quot;https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md&quot;,&quot;user_id&quot;:null}}" data-hydro-click-hmac="f16ce9e8c1e9aa2401c6c9022492741b158c7acb5e15ff56a78b4eb7f8928d6e" href="#44-部署">4.4 部署</a>
          <a role="menuitem" class="filter-item SelectMenu-item ws-normal wb-break-word line-clamp-2 py-1 " style="-webkit-box-orient: vertical; padding-left: 36px;" data-action="click:readme-toc#blur" data-targets="readme-toc.entries" data-hydro-click="{&quot;event_type&quot;:&quot;repository_toc_menu.click&quot;,&quot;payload&quot;:{&quot;target&quot;:&quot;entry&quot;,&quot;repository_id&quot;:262296122,&quot;originating_url&quot;:&quot;https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md&quot;,&quot;user_id&quot;:null}}" data-hydro-click-hmac="f16ce9e8c1e9aa2401c6c9022492741b158c7acb5e15ff56a78b4eb7f8928d6e" href="#45-实验总结">4.5 实验总结</a>
      </div>
    </div>
  </details-menu>
</details>


  <div class="text-mono f6 flex-auto pr-3 flex-order-2 flex-md-order-1">

      831 lines (628 sloc)
      <span class="file-info-divider"></span>
    41.2 KB
  </div>

  <div class="d-flex py-1 py-md-0 flex-auto flex-order-1 flex-md-order-2 flex-sm-grow-0 flex-justify-between hide-sm hide-md">
        <div class="BtnGroup">
    <a href="/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md?plain=1" data-permalink-href="/PaddlePaddle/PaddleOCR/blob/a3dfc10b7824743939976c42db6d50d118e2b3b9/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md?plain=1" aria-label="Display the source blob" data-view-component="true" class="source tooltipped tooltipped tooltipped-n  js-permalink-replaceable-link btn-sm btn BtnGroup-item">  <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-code">
    <path fill-rule="evenodd" d="M4.72 3.22a.75.75 0 011.06 1.06L2.06 8l3.72 3.72a.75.75 0 11-1.06 1.06L.47 8.53a.75.75 0 010-1.06l4.25-4.25zm6.56 0a.75.75 0 10-1.06 1.06L13.94 8l-3.72 3.72a.75.75 0 101.06 1.06l4.25-4.25a.75.75 0 000-1.06l-4.25-4.25z"></path>
</svg>

</a>    <a href="/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md" data-permalink-href="/PaddlePaddle/PaddleOCR/blob/a3dfc10b7824743939976c42db6d50d118e2b3b9/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md" aria-label="Display the rendered blob" data-view-component="true" class="rendered tooltipped tooltipped tooltipped-n selected js-permalink-replaceable-link btn-sm btn BtnGroup-item">  <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-file">
    <path fill-rule="evenodd" d="M3.75 1.5a.25.25 0 00-.25.25v12.5c0 .138.112.25.25.25h9.5a.25.25 0 00.25-.25V6h-2.75A1.75 1.75 0 019 4.25V1.5H3.75zm6.75.062V4.25c0 .138.112.25.25.25h2.688a.252.252 0 00-.011-.013l-2.914-2.914a.272.272 0 00-.013-.011zM2 1.75C2 .784 2.784 0 3.75 0h6.586c.464 0 .909.184 1.237.513l2.914 2.914c.329.328.513.773.513 1.237v9.586A1.75 1.75 0 0113.25 16h-9.5A1.75 1.75 0 012 14.25V1.75z"></path>
</svg>

</a>  </div>


    <div class="BtnGroup">
      <a data-permalink-href="/PaddlePaddle/PaddleOCR/raw/a3dfc10b7824743939976c42db6d50d118e2b3b9/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md" href="/PaddlePaddle/PaddleOCR/raw/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md" id="raw-url" data-view-component="true" class="js-permalink-replaceable-link btn-sm btn BtnGroup-item">  Raw

</a>        <a data-permalink-href="/PaddlePaddle/PaddleOCR/blame/a3dfc10b7824743939976c42db6d50d118e2b3b9/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md" href="/PaddlePaddle/PaddleOCR/blame/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md" data-hotkey="b" data-view-component="true" class="js-update-url-with-hash js-permalink-replaceable-link btn-sm btn BtnGroup-item">  Blame

</a>    </div>

    <div class="d-flex">


<div class="ml-1" data-test-selector="edit-dropdown-menu-component">
  <form class="BtnGroup-parent js-update-url-with-hash " data-turbo="false" action="/PaddlePaddle/PaddleOCR/edit/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md" accept-charset="UTF-8" method="post"><input type="hidden" name="authenticity_token" value="llz78Eh-h4wCyHYKnMSomzLitBJmBsXnGWrYyE5RqU8R0h9nBeLKEJMLkCaprphwyYcNklhkrLFDqGzHP14SMA" autocomplete="off" />
    <button disabled="disabled" title="You must be signed in to make or propose changes" data-hotkey="e" data-disable-with="" data-test-selector="edit-icon-button" type="submit" data-view-component="true" class="btn-sm BtnGroup-item btn">  <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-pencil">
    <path fill-rule="evenodd" d="M11.013 1.427a1.75 1.75 0 012.474 0l1.086 1.086a1.75 1.75 0 010 2.474l-8.61 8.61c-.21.21-.47.364-.756.445l-3.251.93a.75.75 0 01-.927-.928l.929-3.25a1.75 1.75 0 01.445-.758l8.61-8.61zm1.414 1.06a.25.25 0 00-.354 0L10.811 3.75l1.439 1.44 1.263-1.263a.25.25 0 000-.354l-1.086-1.086zM11.189 6.25L9.75 4.81l-6.286 6.287a.25.25 0 00-.064.108l-.558 1.953 1.953-.558a.249.249 0 00.108-.064l6.286-6.286z"></path>
</svg>

</button></form>
  <details class="details-reset details-overlay select-menu BtnGroup-parent d-inline-block position-relative">
    <summary data-disable-invalid="" data-disable-with="" data-hydro-click="{&quot;event_type&quot;:&quot;blob_edit_dropdown.more_options_click&quot;,&quot;payload&quot;:{&quot;repository_id&quot;:262296122,&quot;actor_id&quot;:null,&quot;github_dev_enabled&quot;:false,&quot;edit_enabled&quot;:false,&quot;small_screen&quot;:false,&quot;originating_url&quot;:&quot;https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md&quot;,&quot;user_id&quot;:null}}" data-hydro-click-hmac="8e1c91138fac18e1604a705b864e87574bdf4b05c6f3b559e5a5a9051b4f9f4c" aria-label="Select additional options" data-view-component="true" class="select-menu-button btn-sm btn BtnGroup-item float-none px-2">
</summary>    <div class="SelectMenu right-0">
      <div class="SelectMenu-modal width-full">
        <div class="SelectMenu-list SelectMenu-list--borderless py-2">
          <form class="SelectMenu-item js-update-url-with-hash " data-turbo="false" action="/PaddlePaddle/PaddleOCR/edit/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md" accept-charset="UTF-8" method="post"><input type="hidden" name="authenticity_token" value="Ovbx0rgGgsdbao-R_-A0l2RC6K1eBosPF4oakk00YT69eBVF9ZrPW8qpab3KigR8nydRLWBk4llNSK6dPDvaQQ" autocomplete="off" />
            <button disabled="disabled" title="You must be signed in to make or propose changes" data-test-selector="edit-text-button" type="submit" data-view-component="true" class="btn-invisible btn width-full d-flex flex-justify-between color-fg-muted text-normal p-0">  <div>Edit this file</div>
              <div class="color-fg-muted">E</div>

</button></form>

            <a data-platforms="windows,mac" data-test-selector="github-desktop-link" aria-label="Open this file in GitHub Desktop" href="https://desktop.github.com" data-view-component="true" class="SelectMenu-item no-wrap js-remove-unless-platform width-full text-normal color-fg-default f5">
              Open in GitHub Desktop
</a>        </div>
      </div>
    </div>
  </details>
</div>


<div data-test-selector="remote-clipboard-copy">
  </div>


          <button class="btn-octicon btn-octicon-danger disabled tooltipped tooltipped-nw" disabled
            aria-label="You must be signed in to make or propose changes" type="button">
            <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-trash">
    <path fill-rule="evenodd" d="M6.5 1.75a.25.25 0 01.25-.25h2.5a.25.25 0 01.25.25V3h-3V1.75zm4.5 0V3h2.25a.75.75 0 010 1.5H2.75a.75.75 0 010-1.5H5V1.75C5 .784 5.784 0 6.75 0h2.5C10.216 0 11 .784 11 1.75zM4.496 6.675a.75.75 0 10-1.492.15l.66 6.6A1.75 1.75 0 005.405 15h5.19c.9 0 1.652-.681 1.741-1.576l.66-6.6a.75.75 0 00-1.492-.149l-.66 6.6a.25.25 0 01-.249.225h-5.19a.25.25 0 01-.249-.225l-.66-6.6z"></path>
</svg>
          </button>
    </div>
  </div>

    <div class="d-flex hide-lg hide-xl flex-order-2 flex-grow-0">
      <details class="dropdown details-reset details-overlay d-inline-block">
        <summary
          class="btn-octicon p-2"
          aria-haspopup="true"
          aria-label="possible actions"
          data-test-selector="small-screen-more-options"
          data-hydro-click="{&quot;event_type&quot;:&quot;blob_edit_dropdown.more_options_click&quot;,&quot;payload&quot;:{&quot;repository_id&quot;:262296122,&quot;actor_id&quot;:null,&quot;github_dev_enabled&quot;:false,&quot;edit_enabled&quot;:false,&quot;small_screen&quot;:true,&quot;originating_url&quot;:&quot;https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md&quot;,&quot;user_id&quot;:null}}"
          data-hydro-click-hmac="3711aba9bcc87015fd0b3b29260720d15e89cbf158ae938adc99aa4a84a101e5"
        >
          <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-kebab-horizontal">
    <path d="M8 9a1.5 1.5 0 100-3 1.5 1.5 0 000 3zM1.5 9a1.5 1.5 0 100-3 1.5 1.5 0 000 3zm13 0a1.5 1.5 0 100-3 1.5 1.5 0 000 3z"></path>
</svg>
        </summary>

        <ul class="dropdown-menu dropdown-menu-sw" style="width: 175px">
            <li>
                <a class="dropdown-item tooltipped tooltipped-nw js-remove-unless-platform"
                   data-platforms="windows,mac"
                   href="https://desktop.github.com"
                   data-ga-click="Repository, open with desktop">
                  Open with Desktop
                </a>
            </li>
          <li>
            <a class="dropdown-item" href="/PaddlePaddle/PaddleOCR/raw/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md">
              View raw
            </a>
          </li>
            <li>
                          </li>
            <li>
              <a class="dropdown-item" href="/PaddlePaddle/PaddleOCR/blame/dygraph/applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md">
                View blame
              </a>
            </li>

        </ul>
      </details>
    </div>
</div>


        <div id="readme" class="Box-body readme blob js-code-block-container p-5 p-xl-6 gist-border-0">
    <article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-一种基于paddleocr的轻量级车牌识别模型" class="anchor" aria-hidden="true" href="#一种基于paddleocr的轻量级车牌识别模型"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>一种基于PaddleOCR的轻量级车牌识别模型</h1>
<ul dir="auto">
<li><a href="#1-%E9%A1%B9%E7%9B%AE%E4%BB%8B%E7%BB%8D">1. 项目介绍</a></li>
<li><a href="#2-%E7%8E%AF%E5%A2%83%E6%90%AD%E5%BB%BA">2. 环境搭建</a></li>
<li><a href="#3-%E6%95%B0%E6%8D%AE%E9%9B%86%E5%87%86%E5%A4%87">3. 数据集准备</a>
<ul dir="auto">
<li><a href="#31-%E6%95%B0%E6%8D%AE%E9%9B%86%E6%A0%87%E6%B3%A8%E8%A7%84%E5%88%99">3.1 数据集标注规则</a></li>
<li><a href="#32-%E5%88%B6%E4%BD%9C%E7%AC%A6%E5%90%88pp-ocr%E8%AE%AD%E7%BB%83%E6%A0%BC%E5%BC%8F%E7%9A%84%E6%A0%87%E6%B3%A8%E6%96%87%E4%BB%B6">3.2 制作符合PP-OCR训练格式的标注文件</a></li>
</ul>
</li>
<li><a href="#4-%E5%AE%9E%E9%AA%8C">4. 实验</a>
<ul dir="auto">
<li><a href="#41-%E6%A3%80%E6%B5%8B">4.1 检测</a>
<ul dir="auto">
<li><a href="#411-%E9%A2%84%E8%AE%AD%E7%BB%83%E6%A8%A1%E5%9E%8B%E7%9B%B4%E6%8E%A5%E9%A2%84%E6%B5%8B">4.1.1 预训练模型直接预测</a></li>
<li><a href="#412-ccpd%E8%BD%A6%E7%89%8C%E6%95%B0%E6%8D%AE%E9%9B%86fine-tune">4.1.2 CCPD车牌数据集fine-tune</a></li>
<li><a href="#413-ccpd%E8%BD%A6%E7%89%8C%E6%95%B0%E6%8D%AE%E9%9B%86fine-tune%E9%87%8F%E5%8C%96%E8%AE%AD%E7%BB%83">4.1.3 CCPD车牌数据集fine-tune+量化训练</a></li>
<li><a href="#414-%E6%A8%A1%E5%9E%8B%E5%AF%BC%E5%87%BA">4.1.4 模型导出</a></li>
</ul>
</li>
<li><a href="#42-%E8%AF%86%E5%88%AB">4.2 识别</a>
<ul dir="auto">
<li><a href="#421-%E9%A2%84%E8%AE%AD%E7%BB%83%E6%A8%A1%E5%9E%8B%E7%9B%B4%E6%8E%A5%E9%A2%84%E6%B5%8B">4.2.1 预训练模型直接预测</a></li>
<li><a href="#422-%E9%A2%84%E8%AE%AD%E7%BB%83%E6%A8%A1%E5%9E%8B%E7%9B%B4%E6%8E%A5%E9%A2%84%E6%B5%8B%E6%94%B9%E5%8A%A8%E5%90%8E%E5%A4%84%E7%90%86">4.2.2 预训练模型直接预测+改动后处理</a></li>
<li><a href="#423-ccpd%E8%BD%A6%E7%89%8C%E6%95%B0%E6%8D%AE%E9%9B%86fine-tune">4.2.3 CCPD车牌数据集fine-tune</a></li>
<li><a href="#424-ccpd%E8%BD%A6%E7%89%8C%E6%95%B0%E6%8D%AE%E9%9B%86fine-tune%E9%87%8F%E5%8C%96%E8%AE%AD%E7%BB%83">4.2.4 CCPD车牌数据集fine-tune+量化训练</a></li>
<li><a href="#425-%E6%A8%A1%E5%9E%8B%E5%AF%BC%E5%87%BA">4.2.5 模型导出</a></li>
</ul>
</li>
<li><a href="#43-%E8%AE%A1%E7%AE%97End2End%E6%8C%87%E6%A0%87">4.3 计算End2End指标</a></li>
<li><a href="#44-%E9%83%A8%E7%BD%B2">4.4 部署</a></li>
<li><a href="#45-%E5%AE%9E%E9%AA%8C%E6%80%BB%E7%BB%93">4.5 实验总结</a></li>
</ul>
</li>
</ul>
<h2 dir="auto"><a id="user-content-1-项目介绍" class="anchor" aria-hidden="true" href="#1-项目介绍"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>1. 项目介绍</h2>
<p dir="auto">车牌识别(Vehicle License Plate Recognition，VLPR) 是计算机视频图像识别技术在车辆牌照识别中的一种应用。车牌识别技术要求能够将运动中的汽车牌照从复杂背景中提取并识别出来，在高速公路车辆管理，停车场管理和城市交通中得到广泛应用。</p>
<p dir="auto">本项目难点如下：</p>
<ol dir="auto">
<li>车牌在图像中的尺度差异大、在车辆上的悬挂位置不固定</li>
<li>车牌图像质量层次不齐: 角度倾斜、图片模糊、光照不足、过曝等问题严重</li>
<li>边缘和端测场景应用对模型大小有限制，推理速度有要求</li>
</ol>
<p dir="auto">针对以上问题， 本例选用 PP-OCRv3 这一开源超轻量OCR系统进行车牌识别系统的开发。基于PP-OCRv3模型，在CCPD数据集达到99%的检测和94%的识别精度，模型大小12.8M(2.5M+10.3M)。基于量化对模型体积进行进一步压缩到5.8M(1M+4.8M), 同时推理速度提升25%。</p>
<p dir="auto">aistudio项目链接: <a href="https://aistudio.baidu.com/aistudio/projectdetail/3919091?contributionType=1" rel="nofollow">基于PaddleOCR的轻量级车牌识别范例</a></p>
<h2 dir="auto"><a id="user-content-2-环境搭建" class="anchor" aria-hidden="true" href="#2-环境搭建"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>2. 环境搭建</h2>
<p dir="auto">本任务基于Aistudio完成, 具体环境如下：</p>
<ul dir="auto">
<li>操作系统: Linux</li>
<li>PaddlePaddle: 2.3</li>
<li>paddleslim: 2.2.2</li>
<li>PaddleOCR: Release/2.5</li>
</ul>
<p dir="auto">下载 PaddleOCR代码</p>
<div class="highlight highlight-source-shell notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="git clone -b dygraph https://github.com/PaddlePaddle/PaddleOCR"><pre>git clone -b dygraph https://github.com/PaddlePaddle/PaddleOCR</pre></div>
<p dir="auto">安装依赖库</p>
<div class="highlight highlight-source-shell notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="pip install -r PaddleOCR/requirements.txt"><pre>pip install -r PaddleOCR/requirements.txt</pre></div>
<h2 dir="auto"><a id="user-content-3-数据集准备" class="anchor" aria-hidden="true" href="#3-数据集准备"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>3. 数据集准备</h2>
<p dir="auto">所使用的数据集为 CCPD2020 新能源车牌数据集，该数据集为</p>
<p dir="auto">该数据集分布如下：</p>
<table>
<thead>
<tr>
<th>数据集类型</th>
<th>数量</th>
</tr>
</thead>
<tbody>
<tr>
<td>训练集</td>
<td>5769</td>
</tr>
<tr>
<td>验证集</td>
<td>1001</td>
</tr>
<tr>
<td>测试集</td>
<td>5006</td>
</tr>
</tbody>
</table>
<p dir="auto">数据集图片示例如下:
<a target="_blank" rel="noopener noreferrer" href="https://camo.githubusercontent.com/422ba572727331bfacf4a748100bcdf775d5ed4b2409ae78456849b2d94b1a8d/68747470733a2f2f61692d73747564696f2d7374617469632d6f6e6c696e652e63646e2e626365626f732e636f6d2f33626365303537613865306334306130616362643236623265323965346532353930613331626334313237363462653762396534393739396336396362393163"><img src="https://camo.githubusercontent.com/422ba572727331bfacf4a748100bcdf775d5ed4b2409ae78456849b2d94b1a8d/68747470733a2f2f61692d73747564696f2d7374617469632d6f6e6c696e652e63646e2e626365626f732e636f6d2f33626365303537613865306334306130616362643236623265323965346532353930613331626334313237363462653762396534393739396336396362393163" alt="" data-canonical-src="https://ai-studio-static-online.cdn.bcebos.com/3bce057a8e0c40a0acbd26b2e29e4e2590a31bc412764be7b9e49799c69cb91c" style="max-width: 100%;"></a></p>
<p dir="auto">数据集可以从这里下载 <a href="https://aistudio.baidu.com/aistudio/datasetdetail/101595" rel="nofollow">https://aistudio.baidu.com/aistudio/datasetdetail/101595</a></p>
<p dir="auto">下载好数据集后对数据集进行解压</p>
<div class="highlight highlight-source-shell notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="unzip -d /home/aistudio/data /home/aistudio/data/data101595/CCPD2020.zip"><pre>unzip -d /home/aistudio/data /home/aistudio/data/data101595/CCPD2020.zip</pre></div>
<h3 dir="auto"><a id="user-content-31-数据集标注规则" class="anchor" aria-hidden="true" href="#31-数据集标注规则"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>3.1 数据集标注规则</h3>
<p dir="auto">CPPD数据集的图片文件名具有特殊规则，详细可查看：<a href="https://github.com/detectRecog/CCPD">https://github.com/detectRecog/CCPD</a></p>
<p dir="auto">具体规则如下：</p>
<p dir="auto">例如: 025-95_113-154&amp;383_386&amp;473-386&amp;473_177&amp;454_154&amp;383_363&amp;402-0_0_22_27_27_33_16-37-15.jpg</p>
<p dir="auto">每个名称可以分为七个字段，以-符号作为分割。这些字段解释如下。</p>
<ul dir="auto">
<li>
<p dir="auto">025：车牌面积与整个图片区域的面积比。025 (25%)</p>
</li>
<li>
<p dir="auto">95_113：水平倾斜程度和垂直倾斜度。水平 95度 垂直 113度</p>
</li>
<li>
<p dir="auto">154&amp;383_386&amp;473：左上和右下顶点的坐标。左上(154,383) 右下(386,473)</p>
</li>
<li>
<p dir="auto">386&amp;473_177&amp;454_154&amp;383_363&amp;402：整个图像中车牌的四个顶点的精确（x，y）坐标。这些坐标从右下角顶点开始。(386,473) (177,454) (154,383) (363,402)</p>
</li>
<li>
<p dir="auto">0_0_22_27_27_33_16：CCPD中的每个图像只有一个车牌。每个车牌号码由一个汉字，一个字母和五个字母或数字组成。有效的中文车牌由七个字符组成：省（1个字符），字母（1个字符），字母+数字（5个字符）。“ 0_0_22_27_27_33_16”是每个字符的索引。这三个数组定义如下。每个数组的最后一个字符是字母O，而不是数字0。我们将O用作“无字符”的符号，因为中文车牌字符中没有O。因此以上车牌拼起来即为 皖AY339S</p>
</li>
<li>
<p dir="auto">37：牌照区域的亮度。 37 (37%)</p>
</li>
<li>
<p dir="auto">15：车牌区域的模糊度。15 (15%)</p>
</li>
</ul>
<div class="highlight highlight-source-python notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="provinces = [&quot;皖&quot;, &quot;沪&quot;, &quot;津&quot;, &quot;渝&quot;, &quot;冀&quot;, &quot;晋&quot;, &quot;蒙&quot;, &quot;辽&quot;, &quot;吉&quot;, &quot;黑&quot;, &quot;苏&quot;, &quot;浙&quot;, &quot;京&quot;, &quot;闽&quot;, &quot;赣&quot;, &quot;鲁&quot;, &quot;豫&quot;, &quot;鄂&quot;, &quot;湘&quot;, &quot;粤&quot;, &quot;桂&quot;, &quot;琼&quot;, &quot;川&quot;, &quot;贵&quot;, &quot;云&quot;, &quot;藏&quot;, &quot;陕&quot;, &quot;甘&quot;, &quot;青&quot;, &quot;宁&quot;, &quot;新&quot;, &quot;警&quot;, &quot;学&quot;, &quot;O&quot;]
alphabets = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'J', 'K', 'L', 'M', 'N', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W','X', 'Y', 'Z', 'O']
ads = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'J', 'K', 'L', 'M', 'N', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X','Y', 'Z', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', 'O']"><pre><span class="pl-s1">provinces</span> <span class="pl-c1">=</span> [<span class="pl-s">"皖"</span>, <span class="pl-s">"沪"</span>, <span class="pl-s">"津"</span>, <span class="pl-s">"渝"</span>, <span class="pl-s">"冀"</span>, <span class="pl-s">"晋"</span>, <span class="pl-s">"蒙"</span>, <span class="pl-s">"辽"</span>, <span class="pl-s">"吉"</span>, <span class="pl-s">"黑"</span>, <span class="pl-s">"苏"</span>, <span class="pl-s">"浙"</span>, <span class="pl-s">"京"</span>, <span class="pl-s">"闽"</span>, <span class="pl-s">"赣"</span>, <span class="pl-s">"鲁"</span>, <span class="pl-s">"豫"</span>, <span class="pl-s">"鄂"</span>, <span class="pl-s">"湘"</span>, <span class="pl-s">"粤"</span>, <span class="pl-s">"桂"</span>, <span class="pl-s">"琼"</span>, <span class="pl-s">"川"</span>, <span class="pl-s">"贵"</span>, <span class="pl-s">"云"</span>, <span class="pl-s">"藏"</span>, <span class="pl-s">"陕"</span>, <span class="pl-s">"甘"</span>, <span class="pl-s">"青"</span>, <span class="pl-s">"宁"</span>, <span class="pl-s">"新"</span>, <span class="pl-s">"警"</span>, <span class="pl-s">"学"</span>, <span class="pl-s">"O"</span>]
<span class="pl-s1">alphabets</span> <span class="pl-c1">=</span> [<span class="pl-s">'A'</span>, <span class="pl-s">'B'</span>, <span class="pl-s">'C'</span>, <span class="pl-s">'D'</span>, <span class="pl-s">'E'</span>, <span class="pl-s">'F'</span>, <span class="pl-s">'G'</span>, <span class="pl-s">'H'</span>, <span class="pl-s">'J'</span>, <span class="pl-s">'K'</span>, <span class="pl-s">'L'</span>, <span class="pl-s">'M'</span>, <span class="pl-s">'N'</span>, <span class="pl-s">'P'</span>, <span class="pl-s">'Q'</span>, <span class="pl-s">'R'</span>, <span class="pl-s">'S'</span>, <span class="pl-s">'T'</span>, <span class="pl-s">'U'</span>, <span class="pl-s">'V'</span>, <span class="pl-s">'W'</span>,<span class="pl-s">'X'</span>, <span class="pl-s">'Y'</span>, <span class="pl-s">'Z'</span>, <span class="pl-s">'O'</span>]
<span class="pl-s1">ads</span> <span class="pl-c1">=</span> [<span class="pl-s">'A'</span>, <span class="pl-s">'B'</span>, <span class="pl-s">'C'</span>, <span class="pl-s">'D'</span>, <span class="pl-s">'E'</span>, <span class="pl-s">'F'</span>, <span class="pl-s">'G'</span>, <span class="pl-s">'H'</span>, <span class="pl-s">'J'</span>, <span class="pl-s">'K'</span>, <span class="pl-s">'L'</span>, <span class="pl-s">'M'</span>, <span class="pl-s">'N'</span>, <span class="pl-s">'P'</span>, <span class="pl-s">'Q'</span>, <span class="pl-s">'R'</span>, <span class="pl-s">'S'</span>, <span class="pl-s">'T'</span>, <span class="pl-s">'U'</span>, <span class="pl-s">'V'</span>, <span class="pl-s">'W'</span>, <span class="pl-s">'X'</span>,<span class="pl-s">'Y'</span>, <span class="pl-s">'Z'</span>, <span class="pl-s">'0'</span>, <span class="pl-s">'1'</span>, <span class="pl-s">'2'</span>, <span class="pl-s">'3'</span>, <span class="pl-s">'4'</span>, <span class="pl-s">'5'</span>, <span class="pl-s">'6'</span>, <span class="pl-s">'7'</span>, <span class="pl-s">'8'</span>, <span class="pl-s">'9'</span>, <span class="pl-s">'O'</span>]</pre></div>
<h3 dir="auto"><a id="user-content-32-制作符合pp-ocr训练格式的标注文件" class="anchor" aria-hidden="true" href="#32-制作符合pp-ocr训练格式的标注文件"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>3.2 制作符合PP-OCR训练格式的标注文件</h3>
<p dir="auto">在开始训练之前，可使用如下代码制作符合PP-OCR训练格式的标注文件。</p>
<div class="highlight highlight-source-python notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="import cv2
import os
import json
from tqdm import tqdm
import numpy as np

provinces = [&quot;皖&quot;, &quot;沪&quot;, &quot;津&quot;, &quot;渝&quot;, &quot;冀&quot;, &quot;晋&quot;, &quot;蒙&quot;, &quot;辽&quot;, &quot;吉&quot;, &quot;黑&quot;, &quot;苏&quot;, &quot;浙&quot;, &quot;京&quot;, &quot;闽&quot;, &quot;赣&quot;, &quot;鲁&quot;, &quot;豫&quot;, &quot;鄂&quot;, &quot;湘&quot;, &quot;粤&quot;, &quot;桂&quot;, &quot;琼&quot;, &quot;川&quot;, &quot;贵&quot;, &quot;云&quot;, &quot;藏&quot;, &quot;陕&quot;, &quot;甘&quot;, &quot;青&quot;, &quot;宁&quot;, &quot;新&quot;, &quot;警&quot;, &quot;学&quot;, &quot;O&quot;]
alphabets = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'J', 'K', 'L', 'M', 'N', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z', 'O']
ads = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'J', 'K', 'L', 'M', 'N', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', 'O']

def make_label(img_dir, save_gt_folder, phase):
    crop_img_save_dir = os.path.join(save_gt_folder, phase, 'crop_imgs')
    os.makedirs(crop_img_save_dir, exist_ok=True)

    f_det = open(os.path.join(save_gt_folder, phase, 'det.txt'), 'w', encoding='utf-8')
    f_rec = open(os.path.join(save_gt_folder, phase, 'rec.txt'), 'w', encoding='utf-8')

    i = 0
    for filename in tqdm(os.listdir(os.path.join(img_dir, phase))):
        str_list = filename.split('-')
        if len(str_list) &lt; 5:
            continue
        coord_list = str_list[3].split('_')
        txt_list = str_list[4].split('_')
        boxes = []
        for coord in coord_list:
            boxes.append([int(x) for x in coord.split(&quot;&amp;&quot;)])
        boxes = [boxes[2], boxes[3], boxes[0], boxes[1]]
        lp_number = provinces[int(txt_list[0])] + alphabets[int(txt_list[1])] + ''.join([ads[int(x)] for x in txt_list[2:]])

        # det
        det_info = [{'points':boxes, 'transcription':lp_number}]
        f_det.write('{}\t{}\n'.format(os.path.join(phase, filename), json.dumps(det_info, ensure_ascii=False)))

        # rec
        boxes = np.float32(boxes)
        img = cv2.imread(os.path.join(img_dir, phase, filename))
        # crop_img = img[int(boxes[:,1].min()):int(boxes[:,1].max()),int(boxes[:,0].min()):int(boxes[:,0].max())]
        crop_img = get_rotate_crop_image(img, boxes)
        crop_img_save_filename = '{}_{}.jpg'.format(i,'_'.join(txt_list))
        crop_img_save_path = os.path.join(crop_img_save_dir, crop_img_save_filename)
        cv2.imwrite(crop_img_save_path, crop_img)
        f_rec.write('{}/crop_imgs/{}\t{}\n'.format(phase, crop_img_save_filename, lp_number))
        i+=1
    f_det.close()
    f_rec.close()

def get_rotate_crop_image(img, points):
    '''
    img_height, img_width = img.shape[0:2]
    left = int(np.min(points[:, 0]))
    right = int(np.max(points[:, 0]))
    top = int(np.min(points[:, 1]))
    bottom = int(np.max(points[:, 1]))
    img_crop = img[top:bottom, left:right, :].copy()
    points[:, 0] = points[:, 0] - left
    points[:, 1] = points[:, 1] - top
    '''
    assert len(points) == 4, &quot;shape of points must be 4*2&quot;
    img_crop_width = int(
        max(
            np.linalg.norm(points[0] - points[1]),
            np.linalg.norm(points[2] - points[3])))
    img_crop_height = int(
        max(
            np.linalg.norm(points[0] - points[3]),
            np.linalg.norm(points[1] - points[2])))
    pts_std = np.float32([[0, 0], [img_crop_width, 0],
                          [img_crop_width, img_crop_height],
                          [0, img_crop_height]])
    M = cv2.getPerspectiveTransform(points, pts_std)
    dst_img = cv2.warpPerspective(
        img,
        M, (img_crop_width, img_crop_height),
        borderMode=cv2.BORDER_REPLICATE,
        flags=cv2.INTER_CUBIC)
    dst_img_height, dst_img_width = dst_img.shape[0:2]
    if dst_img_height * 1.0 / dst_img_width &gt;= 1.5:
        dst_img = np.rot90(dst_img)
    return dst_img

img_dir = '/home/aistudio/data/CCPD2020/ccpd_green'
save_gt_folder = '/home/aistudio/data/CCPD2020/PPOCR'
# phase = 'train' # change to val and test to make val dataset and test dataset
for phase in ['train','val','test']:
    make_label(img_dir, save_gt_folder, phase)"><pre><span class="pl-k">import</span> <span class="pl-s1">cv2</span>
<span class="pl-k">import</span> <span class="pl-s1">os</span>
<span class="pl-k">import</span> <span class="pl-s1">json</span>
<span class="pl-k">from</span> <span class="pl-s1">tqdm</span> <span class="pl-k">import</span> <span class="pl-s1">tqdm</span>
<span class="pl-k">import</span> <span class="pl-s1">numpy</span> <span class="pl-k">as</span> <span class="pl-s1">np</span>

<span class="pl-s1">provinces</span> <span class="pl-c1">=</span> [<span class="pl-s">"皖"</span>, <span class="pl-s">"沪"</span>, <span class="pl-s">"津"</span>, <span class="pl-s">"渝"</span>, <span class="pl-s">"冀"</span>, <span class="pl-s">"晋"</span>, <span class="pl-s">"蒙"</span>, <span class="pl-s">"辽"</span>, <span class="pl-s">"吉"</span>, <span class="pl-s">"黑"</span>, <span class="pl-s">"苏"</span>, <span class="pl-s">"浙"</span>, <span class="pl-s">"京"</span>, <span class="pl-s">"闽"</span>, <span class="pl-s">"赣"</span>, <span class="pl-s">"鲁"</span>, <span class="pl-s">"豫"</span>, <span class="pl-s">"鄂"</span>, <span class="pl-s">"湘"</span>, <span class="pl-s">"粤"</span>, <span class="pl-s">"桂"</span>, <span class="pl-s">"琼"</span>, <span class="pl-s">"川"</span>, <span class="pl-s">"贵"</span>, <span class="pl-s">"云"</span>, <span class="pl-s">"藏"</span>, <span class="pl-s">"陕"</span>, <span class="pl-s">"甘"</span>, <span class="pl-s">"青"</span>, <span class="pl-s">"宁"</span>, <span class="pl-s">"新"</span>, <span class="pl-s">"警"</span>, <span class="pl-s">"学"</span>, <span class="pl-s">"O"</span>]
<span class="pl-s1">alphabets</span> <span class="pl-c1">=</span> [<span class="pl-s">'A'</span>, <span class="pl-s">'B'</span>, <span class="pl-s">'C'</span>, <span class="pl-s">'D'</span>, <span class="pl-s">'E'</span>, <span class="pl-s">'F'</span>, <span class="pl-s">'G'</span>, <span class="pl-s">'H'</span>, <span class="pl-s">'J'</span>, <span class="pl-s">'K'</span>, <span class="pl-s">'L'</span>, <span class="pl-s">'M'</span>, <span class="pl-s">'N'</span>, <span class="pl-s">'P'</span>, <span class="pl-s">'Q'</span>, <span class="pl-s">'R'</span>, <span class="pl-s">'S'</span>, <span class="pl-s">'T'</span>, <span class="pl-s">'U'</span>, <span class="pl-s">'V'</span>, <span class="pl-s">'W'</span>, <span class="pl-s">'X'</span>, <span class="pl-s">'Y'</span>, <span class="pl-s">'Z'</span>, <span class="pl-s">'O'</span>]
<span class="pl-s1">ads</span> <span class="pl-c1">=</span> [<span class="pl-s">'A'</span>, <span class="pl-s">'B'</span>, <span class="pl-s">'C'</span>, <span class="pl-s">'D'</span>, <span class="pl-s">'E'</span>, <span class="pl-s">'F'</span>, <span class="pl-s">'G'</span>, <span class="pl-s">'H'</span>, <span class="pl-s">'J'</span>, <span class="pl-s">'K'</span>, <span class="pl-s">'L'</span>, <span class="pl-s">'M'</span>, <span class="pl-s">'N'</span>, <span class="pl-s">'P'</span>, <span class="pl-s">'Q'</span>, <span class="pl-s">'R'</span>, <span class="pl-s">'S'</span>, <span class="pl-s">'T'</span>, <span class="pl-s">'U'</span>, <span class="pl-s">'V'</span>, <span class="pl-s">'W'</span>, <span class="pl-s">'X'</span>, <span class="pl-s">'Y'</span>, <span class="pl-s">'Z'</span>, <span class="pl-s">'0'</span>, <span class="pl-s">'1'</span>, <span class="pl-s">'2'</span>, <span class="pl-s">'3'</span>, <span class="pl-s">'4'</span>, <span class="pl-s">'5'</span>, <span class="pl-s">'6'</span>, <span class="pl-s">'7'</span>, <span class="pl-s">'8'</span>, <span class="pl-s">'9'</span>, <span class="pl-s">'O'</span>]

<span class="pl-k">def</span> <span class="pl-en">make_label</span>(<span class="pl-s1">img_dir</span>, <span class="pl-s1">save_gt_folder</span>, <span class="pl-s1">phase</span>):
    <span class="pl-s1">crop_img_save_dir</span> <span class="pl-c1">=</span> <span class="pl-s1">os</span>.<span class="pl-s1">path</span>.<span class="pl-en">join</span>(<span class="pl-s1">save_gt_folder</span>, <span class="pl-s1">phase</span>, <span class="pl-s">'crop_imgs'</span>)
    <span class="pl-s1">os</span>.<span class="pl-en">makedirs</span>(<span class="pl-s1">crop_img_save_dir</span>, <span class="pl-s1">exist_ok</span><span class="pl-c1">=</span><span class="pl-c1">True</span>)

    <span class="pl-s1">f_det</span> <span class="pl-c1">=</span> <span class="pl-en">open</span>(<span class="pl-s1">os</span>.<span class="pl-s1">path</span>.<span class="pl-en">join</span>(<span class="pl-s1">save_gt_folder</span>, <span class="pl-s1">phase</span>, <span class="pl-s">'det.txt'</span>), <span class="pl-s">'w'</span>, <span class="pl-s1">encoding</span><span class="pl-c1">=</span><span class="pl-s">'utf-8'</span>)
    <span class="pl-s1">f_rec</span> <span class="pl-c1">=</span> <span class="pl-en">open</span>(<span class="pl-s1">os</span>.<span class="pl-s1">path</span>.<span class="pl-en">join</span>(<span class="pl-s1">save_gt_folder</span>, <span class="pl-s1">phase</span>, <span class="pl-s">'rec.txt'</span>), <span class="pl-s">'w'</span>, <span class="pl-s1">encoding</span><span class="pl-c1">=</span><span class="pl-s">'utf-8'</span>)

    <span class="pl-s1">i</span> <span class="pl-c1">=</span> <span class="pl-c1">0</span>
    <span class="pl-k">for</span> <span class="pl-s1">filename</span> <span class="pl-c1">in</span> <span class="pl-en">tqdm</span>(<span class="pl-s1">os</span>.<span class="pl-en">listdir</span>(<span class="pl-s1">os</span>.<span class="pl-s1">path</span>.<span class="pl-en">join</span>(<span class="pl-s1">img_dir</span>, <span class="pl-s1">phase</span>))):
        <span class="pl-s1">str_list</span> <span class="pl-c1">=</span> <span class="pl-s1">filename</span>.<span class="pl-en">split</span>(<span class="pl-s">'-'</span>)
        <span class="pl-k">if</span> <span class="pl-en">len</span>(<span class="pl-s1">str_list</span>) <span class="pl-c1">&lt;</span> <span class="pl-c1">5</span>:
            <span class="pl-k">continue</span>
        <span class="pl-s1">coord_list</span> <span class="pl-c1">=</span> <span class="pl-s1">str_list</span>[<span class="pl-c1">3</span>].<span class="pl-en">split</span>(<span class="pl-s">'_'</span>)
        <span class="pl-s1">txt_list</span> <span class="pl-c1">=</span> <span class="pl-s1">str_list</span>[<span class="pl-c1">4</span>].<span class="pl-en">split</span>(<span class="pl-s">'_'</span>)
        <span class="pl-s1">boxes</span> <span class="pl-c1">=</span> []
        <span class="pl-k">for</span> <span class="pl-s1">coord</span> <span class="pl-c1">in</span> <span class="pl-s1">coord_list</span>:
            <span class="pl-s1">boxes</span>.<span class="pl-en">append</span>([<span class="pl-en">int</span>(<span class="pl-s1">x</span>) <span class="pl-k">for</span> <span class="pl-s1">x</span> <span class="pl-c1">in</span> <span class="pl-s1">coord</span>.<span class="pl-en">split</span>(<span class="pl-s">"&amp;"</span>)])
        <span class="pl-s1">boxes</span> <span class="pl-c1">=</span> [<span class="pl-s1">boxes</span>[<span class="pl-c1">2</span>], <span class="pl-s1">boxes</span>[<span class="pl-c1">3</span>], <span class="pl-s1">boxes</span>[<span class="pl-c1">0</span>], <span class="pl-s1">boxes</span>[<span class="pl-c1">1</span>]]
        <span class="pl-s1">lp_number</span> <span class="pl-c1">=</span> <span class="pl-s1">provinces</span>[<span class="pl-en">int</span>(<span class="pl-s1">txt_list</span>[<span class="pl-c1">0</span>])] <span class="pl-c1">+</span> <span class="pl-s1">alphabets</span>[<span class="pl-en">int</span>(<span class="pl-s1">txt_list</span>[<span class="pl-c1">1</span>])] <span class="pl-c1">+</span> <span class="pl-s">''</span>.<span class="pl-en">join</span>([<span class="pl-s1">ads</span>[<span class="pl-en">int</span>(<span class="pl-s1">x</span>)] <span class="pl-k">for</span> <span class="pl-s1">x</span> <span class="pl-c1">in</span> <span class="pl-s1">txt_list</span>[<span class="pl-c1">2</span>:]])

        <span class="pl-c"># det</span>
        <span class="pl-s1">det_info</span> <span class="pl-c1">=</span> [{<span class="pl-s">'points'</span>:<span class="pl-s1">boxes</span>, <span class="pl-s">'transcription'</span>:<span class="pl-s1">lp_number</span>}]
        <span class="pl-s1">f_det</span>.<span class="pl-en">write</span>(<span class="pl-s">'{}<span class="pl-cce">\t</span>{}<span class="pl-cce">\n</span>'</span>.<span class="pl-en">format</span>(<span class="pl-s1">os</span>.<span class="pl-s1">path</span>.<span class="pl-en">join</span>(<span class="pl-s1">phase</span>, <span class="pl-s1">filename</span>), <span class="pl-s1">json</span>.<span class="pl-en">dumps</span>(<span class="pl-s1">det_info</span>, <span class="pl-s1">ensure_ascii</span><span class="pl-c1">=</span><span class="pl-c1">False</span>)))

        <span class="pl-c"># rec</span>
        <span class="pl-s1">boxes</span> <span class="pl-c1">=</span> <span class="pl-s1">np</span>.<span class="pl-en">float32</span>(<span class="pl-s1">boxes</span>)
        <span class="pl-s1">img</span> <span class="pl-c1">=</span> <span class="pl-s1">cv2</span>.<span class="pl-en">imread</span>(<span class="pl-s1">os</span>.<span class="pl-s1">path</span>.<span class="pl-en">join</span>(<span class="pl-s1">img_dir</span>, <span class="pl-s1">phase</span>, <span class="pl-s1">filename</span>))
        <span class="pl-c"># crop_img = img[int(boxes[:,1].min()):int(boxes[:,1].max()),int(boxes[:,0].min()):int(boxes[:,0].max())]</span>
        <span class="pl-s1">crop_img</span> <span class="pl-c1">=</span> <span class="pl-en">get_rotate_crop_image</span>(<span class="pl-s1">img</span>, <span class="pl-s1">boxes</span>)
        <span class="pl-s1">crop_img_save_filename</span> <span class="pl-c1">=</span> <span class="pl-s">'{}_{}.jpg'</span>.<span class="pl-en">format</span>(<span class="pl-s1">i</span>,<span class="pl-s">'_'</span>.<span class="pl-en">join</span>(<span class="pl-s1">txt_list</span>))
        <span class="pl-s1">crop_img_save_path</span> <span class="pl-c1">=</span> <span class="pl-s1">os</span>.<span class="pl-s1">path</span>.<span class="pl-en">join</span>(<span class="pl-s1">crop_img_save_dir</span>, <span class="pl-s1">crop_img_save_filename</span>)
        <span class="pl-s1">cv2</span>.<span class="pl-en">imwrite</span>(<span class="pl-s1">crop_img_save_path</span>, <span class="pl-s1">crop_img</span>)
        <span class="pl-s1">f_rec</span>.<span class="pl-en">write</span>(<span class="pl-s">'{}/crop_imgs/{}<span class="pl-cce">\t</span>{}<span class="pl-cce">\n</span>'</span>.<span class="pl-en">format</span>(<span class="pl-s1">phase</span>, <span class="pl-s1">crop_img_save_filename</span>, <span class="pl-s1">lp_number</span>))
        <span class="pl-s1">i</span><span class="pl-c1">+=</span><span class="pl-c1">1</span>
    <span class="pl-s1">f_det</span>.<span class="pl-en">close</span>()
    <span class="pl-s1">f_rec</span>.<span class="pl-en">close</span>()

<span class="pl-k">def</span> <span class="pl-en">get_rotate_crop_image</span>(<span class="pl-s1">img</span>, <span class="pl-s1">points</span>):
    <span class="pl-s">'''</span>
<span class="pl-s">    img_height, img_width = img.shape[0:2]</span>
<span class="pl-s">    left = int(np.min(points[:, 0]))</span>
<span class="pl-s">    right = int(np.max(points[:, 0]))</span>
<span class="pl-s">    top = int(np.min(points[:, 1]))</span>
<span class="pl-s">    bottom = int(np.max(points[:, 1]))</span>
<span class="pl-s">    img_crop = img[top:bottom, left:right, :].copy()</span>
<span class="pl-s">    points[:, 0] = points[:, 0] - left</span>
<span class="pl-s">    points[:, 1] = points[:, 1] - top</span>
<span class="pl-s">    '''</span>
    <span class="pl-k">assert</span> <span class="pl-en">len</span>(<span class="pl-s1">points</span>) <span class="pl-c1">==</span> <span class="pl-c1">4</span>, <span class="pl-s">"shape of points must be 4*2"</span>
    <span class="pl-s1">img_crop_width</span> <span class="pl-c1">=</span> <span class="pl-en">int</span>(
        <span class="pl-en">max</span>(
            <span class="pl-s1">np</span>.<span class="pl-s1">linalg</span>.<span class="pl-en">norm</span>(<span class="pl-s1">points</span>[<span class="pl-c1">0</span>] <span class="pl-c1">-</span> <span class="pl-s1">points</span>[<span class="pl-c1">1</span>]),
            <span class="pl-s1">np</span>.<span class="pl-s1">linalg</span>.<span class="pl-en">norm</span>(<span class="pl-s1">points</span>[<span class="pl-c1">2</span>] <span class="pl-c1">-</span> <span class="pl-s1">points</span>[<span class="pl-c1">3</span>])))
    <span class="pl-s1">img_crop_height</span> <span class="pl-c1">=</span> <span class="pl-en">int</span>(
        <span class="pl-en">max</span>(
            <span class="pl-s1">np</span>.<span class="pl-s1">linalg</span>.<span class="pl-en">norm</span>(<span class="pl-s1">points</span>[<span class="pl-c1">0</span>] <span class="pl-c1">-</span> <span class="pl-s1">points</span>[<span class="pl-c1">3</span>]),
            <span class="pl-s1">np</span>.<span class="pl-s1">linalg</span>.<span class="pl-en">norm</span>(<span class="pl-s1">points</span>[<span class="pl-c1">1</span>] <span class="pl-c1">-</span> <span class="pl-s1">points</span>[<span class="pl-c1">2</span>])))
    <span class="pl-s1">pts_std</span> <span class="pl-c1">=</span> <span class="pl-s1">np</span>.<span class="pl-en">float32</span>([[<span class="pl-c1">0</span>, <span class="pl-c1">0</span>], [<span class="pl-s1">img_crop_width</span>, <span class="pl-c1">0</span>],
                          [<span class="pl-s1">img_crop_width</span>, <span class="pl-s1">img_crop_height</span>],
                          [<span class="pl-c1">0</span>, <span class="pl-s1">img_crop_height</span>]])
    <span class="pl-v">M</span> <span class="pl-c1">=</span> <span class="pl-s1">cv2</span>.<span class="pl-en">getPerspectiveTransform</span>(<span class="pl-s1">points</span>, <span class="pl-s1">pts_std</span>)
    <span class="pl-s1">dst_img</span> <span class="pl-c1">=</span> <span class="pl-s1">cv2</span>.<span class="pl-en">warpPerspective</span>(
        <span class="pl-s1">img</span>,
        <span class="pl-v">M</span>, (<span class="pl-s1">img_crop_width</span>, <span class="pl-s1">img_crop_height</span>),
        <span class="pl-s1">borderMode</span><span class="pl-c1">=</span><span class="pl-s1">cv2</span>.<span class="pl-v">BORDER_REPLICATE</span>,
        <span class="pl-s1">flags</span><span class="pl-c1">=</span><span class="pl-s1">cv2</span>.<span class="pl-v">INTER_CUBIC</span>)
    <span class="pl-s1">dst_img_height</span>, <span class="pl-s1">dst_img_width</span> <span class="pl-c1">=</span> <span class="pl-s1">dst_img</span>.<span class="pl-s1">shape</span>[<span class="pl-c1">0</span>:<span class="pl-c1">2</span>]
    <span class="pl-k">if</span> <span class="pl-s1">dst_img_height</span> <span class="pl-c1">*</span> <span class="pl-c1">1.0</span> <span class="pl-c1">/</span> <span class="pl-s1">dst_img_width</span> <span class="pl-c1">&gt;=</span> <span class="pl-c1">1.5</span>:
        <span class="pl-s1">dst_img</span> <span class="pl-c1">=</span> <span class="pl-s1">np</span>.<span class="pl-en">rot90</span>(<span class="pl-s1">dst_img</span>)
    <span class="pl-k">return</span> <span class="pl-s1">dst_img</span>

<span class="pl-s1">img_dir</span> <span class="pl-c1">=</span> <span class="pl-s">'/home/aistudio/data/CCPD2020/ccpd_green'</span>
<span class="pl-s1">save_gt_folder</span> <span class="pl-c1">=</span> <span class="pl-s">'/home/aistudio/data/CCPD2020/PPOCR'</span>
<span class="pl-c"># phase = 'train' # change to val and test to make val dataset and test dataset</span>
<span class="pl-k">for</span> <span class="pl-s1">phase</span> <span class="pl-c1">in</span> [<span class="pl-s">'train'</span>,<span class="pl-s">'val'</span>,<span class="pl-s">'test'</span>]:
    <span class="pl-en">make_label</span>(<span class="pl-s1">img_dir</span>, <span class="pl-s1">save_gt_folder</span>, <span class="pl-s1">phase</span>)</pre></div>
<p dir="auto">通过上述命令可以完成了<code>训练集</code>，<code>验证集</code>和<code>测试集</code>的制作，制作完成的数据集信息如下：</p>
<table>
<thead>
<tr>
<th>类型</th>
<th>数据集</th>
<th>图片地址</th>
<th>标签地址</th>
<th>图片数量</th>
</tr>
</thead>
<tbody>
<tr>
<td>检测</td>
<td>训练集</td>
<td>/home/aistudio/data/CCPD2020/ccpd_green/train</td>
<td>/home/aistudio/data/CCPD2020/PPOCR/train/det.txt</td>
<td>5769</td>
</tr>
<tr>
<td>检测</td>
<td>验证集</td>
<td>/home/aistudio/data/CCPD2020/ccpd_green/val</td>
<td>/home/aistudio/data/CCPD2020/PPOCR/val/det.txt</td>
<td>1001</td>
</tr>
<tr>
<td>检测</td>
<td>测试集</td>
<td>/home/aistudio/data/CCPD2020/ccpd_green/test</td>
<td>/home/aistudio/data/CCPD2020/PPOCR/test/det.txt</td>
<td>5006</td>
</tr>
<tr>
<td>识别</td>
<td>训练集</td>
<td>/home/aistudio/data/CCPD2020/PPOCR/train/crop_imgs</td>
<td>/home/aistudio/data/CCPD2020/PPOCR/train/rec.txt</td>
<td>5769</td>
</tr>
<tr>
<td>识别</td>
<td>验证集</td>
<td>/home/aistudio/data/CCPD2020/PPOCR/val/crop_imgs</td>
<td>/home/aistudio/data/CCPD2020/PPOCR/val/rec.txt</td>
<td>1001</td>
</tr>
<tr>
<td>识别</td>
<td>测试集</td>
<td>/home/aistudio/data/CCPD2020/PPOCR/test/crop_imgs</td>
<td>/home/aistudio/data/CCPD2020/PPOCR/test/rec.txt</td>
<td>5006</td>
</tr>
</tbody>
</table>
<p dir="auto">在普遍的深度学习流程中，都是在训练集训练，在验证集选择最优模型后在测试集上进行测试。在本例中，我们省略中间步骤，直接在训练集训练，在测试集选择最优模型，因此我们只使用训练集和测试集。</p>
<h2 dir="auto"><a id="user-content-4-实验" class="anchor" aria-hidden="true" href="#4-实验"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>4. 实验</h2>
<p dir="auto">由于数据集比较少，为了模型更好和更快的收敛，这里选用 PaddleOCR 中的 PP-OCRv3 模型进行文本检测和识别，并且使用 PP-OCRv3 模型参数作为预训练模型。PP-OCRv3在PP-OCRv2的基础上，中文场景端到端Hmean指标相比于PP-OCRv2提升5%, 英文数字模型端到端效果提升11%。详细优化细节请参考<a href="/PaddlePaddle/PaddleOCR/blob/dygraph/doc/doc_ch/PP-OCRv3_introduction.md">PP-OCRv3</a>技术报告。</p>
<p dir="auto">由于车牌场景均为端侧设备部署，因此对速度和模型大小有比较高的要求，因此还需要采用量化训练的方式进行模型大小的压缩和模型推理速度的加速。模型量化可以在基本不损失模型的精度的情况下，将FP32精度的模型参数转换为Int8精度，减小模型参数大小并加速计算，使用量化后的模型在移动端等部署时更具备速度优势。</p>
<p dir="auto">因此，本实验中对于车牌检测和识别有如下3种方案：</p>
<ol dir="auto">
<li>PP-OCRv3中英文超轻量预训练模型直接预测</li>
<li>CCPD车牌数据集在PP-OCRv3模型上fine-tune</li>
<li>CCPD车牌数据集在PP-OCRv3模型上fine-tune后量化</li>
</ol>
<h3 dir="auto"><a id="user-content-41-检测" class="anchor" aria-hidden="true" href="#41-检测"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>4.1 检测</h3>
<h4 dir="auto"><a id="user-content-411-预训练模型直接预测" class="anchor" aria-hidden="true" href="#411-预训练模型直接预测"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>4.1.1 预训练模型直接预测</h4>
<p dir="auto">从下表中下载PP-OCRv3文本检测预训练模型</p>
<table>
<thead>
<tr>
<th>模型名称</th>
<th>模型简介</th>
<th>配置文件</th>
<th>推理模型大小</th>
<th>下载地址</th>
</tr>
</thead>
<tbody>
<tr>
<td>ch_PP-OCRv3_det</td>
<td>【最新】原始超轻量模型，支持中英文、多语种文本检测</td>
<td><a href="https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_cml.yml">ch_PP-OCRv3_det_cml.yml</a></td>
<td>3.8M</td>
<td><a href="https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_infer.tar" rel="nofollow">推理模型</a> / <a href="https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_distill_train.tar" rel="nofollow">训练模型</a></td>
</tr>
</tbody>
</table>
<p dir="auto">使用如下命令下载预训练模型</p>
<div class="highlight highlight-source-shell notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="mkdir models
cd models
wget https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_distill_train.tar
tar -xf ch_PP-OCRv3_det_distill_train.tar
cd /home/aistudio/PaddleOCR"><pre>mkdir models
<span class="pl-c1">cd</span> models
wget https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_distill_train.tar
tar -xf ch_PP-OCRv3_det_distill_train.tar
<span class="pl-c1">cd</span> /home/aistudio/PaddleOCR</pre></div>
<p dir="auto">预训练模型下载完成后，我们使用<a href="/PaddlePaddle/PaddleOCR/blob/dygraph/configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_student.yml">ch_PP-OCRv3_det_student.yml</a> 配置文件进行后续实验，在开始评估之前需要对配置文件中部分字段进行设置，具体如下：</p>
<ol dir="auto">
<li>模型存储和训练相关:
<ol dir="auto">
<li>Global.pretrained_model: 指向PP-OCRv3文本检测预训练模型地址</li>
</ol>
</li>
<li>数据集相关
<ol dir="auto">
<li>Eval.dataset.data_dir：指向测试集图片存放目录</li>
<li>Eval.dataset.label_file_list：指向测试集标注文件</li>
</ol>
</li>
</ol>
<p dir="auto">上述字段均为必须修改的字段，可以通过修改配置文件的方式改动，也可在不需要修改配置文件的情况下，改变训练的参数。这里使用不改变配置文件的方式 。使用如下命令进行PP-OCRv3文本检测预训练模型的评估</p>
<div class="highlight highlight-source-shell notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="python tools/eval.py -c configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_student.yml -o \
    Global.pretrained_model=models/ch_PP-OCRv3_det_distill_train/student.pdparams \
    Eval.dataset.data_dir=/home/aistudio/data/CCPD2020/ccpd_green \
    Eval.dataset.label_file_list=[/home/aistudio/data/CCPD2020/PPOCR/test/det.txt]"><pre>python tools/eval.py -c configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_student.yml -o \
    Global.pretrained_model=models/ch_PP-OCRv3_det_distill_train/student.pdparams \
    Eval.dataset.data_dir=/home/aistudio/data/CCPD2020/ccpd_green \
    Eval.dataset.label_file_list=[/home/aistudio/data/CCPD2020/PPOCR/test/det.txt]</pre></div>
<p dir="auto">上述指令中，通过-c 选择训练使用配置文件，通过-o参数在不需要修改配置文件的情况下，改变训练的参数。</p>
<p dir="auto">使用预训练模型进行评估，指标如下所示：</p>
<table>
<thead>
<tr>
<th>方案</th>
<th>hmeans</th>
</tr>
</thead>
<tbody>
<tr>
<td>PP-OCRv3中英文超轻量检测预训练模型直接预测</td>
<td>76.12%</td>
</tr>
</tbody>
</table>
<h4 dir="auto"><a id="user-content-412-ccpd车牌数据集fine-tune" class="anchor" aria-hidden="true" href="#412-ccpd车牌数据集fine-tune"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>4.1.2 CCPD车牌数据集fine-tune</h4>
<p dir="auto"><strong>训练</strong></p>
<p dir="auto">为了进行fine-tune训练，我们需要在配置文件中设置需要使用的预训练模型地址，学习率和数据集等参数。 具体如下:</p>
<ol dir="auto">
<li>模型存储和训练相关:
<ol dir="auto">
<li>Global.pretrained_model: 指向PP-OCRv3文本检测预训练模型地址</li>
<li>Global.eval_batch_step: 模型多少step评估一次，这里设为从第0个step开始没隔772个step评估一次，772为一个epoch总的step数。</li>
</ol>
</li>
<li>优化器相关:
<ol dir="auto">
<li>Optimizer.lr.name: 学习率衰减器设为常量 Const</li>
<li>Optimizer.lr.learning_rate: 做 fine-tune 实验，学习率需要设置的比较小，此处学习率设为配置文件中的0.05倍</li>
<li>Optimizer.lr.warmup_epoch: warmup_epoch设为0</li>
</ol>
</li>
<li>数据集相关:
<ol dir="auto">
<li>Train.dataset.data_dir：指向训练集图片存放目录</li>
<li>Train.dataset.label_file_list：指向训练集标注文件</li>
<li>Eval.dataset.data_dir：指向测试集图片存放目录</li>
<li>Eval.dataset.label_file_list：指向测试集标注文件</li>
</ol>
</li>
</ol>
<p dir="auto">使用如下代码即可启动在CCPD车牌数据集上的fine-tune。</p>
<div class="highlight highlight-source-shell notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="python tools/train.py -c configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_student.yml -o \
    Global.pretrained_model=models/ch_PP-OCRv3_det_distill_train/student.pdparams \
    Global.save_model_dir=output/CCPD/det \
    Global.eval_batch_step=&quot;[0, 772]&quot; \
    Optimizer.lr.name=Const \
    Optimizer.lr.learning_rate=0.0005 \
    Optimizer.lr.warmup_epoch=0 \
    Train.dataset.data_dir=/home/aistudio/data/CCPD2020/ccpd_green \
    Train.dataset.label_file_list=[/home/aistudio/data/CCPD2020/PPOCR/train/det.txt] \
    Eval.dataset.data_dir=/home/aistudio/data/CCPD2020/ccpd_green \
    Eval.dataset.label_file_list=[/home/aistudio/data/CCPD2020/PPOCR/test/det.txt]"><pre>python tools/train.py -c configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_student.yml -o \
    Global.pretrained_model=models/ch_PP-OCRv3_det_distill_train/student.pdparams \
    Global.save_model_dir=output/CCPD/det \
    Global.eval_batch_step=<span class="pl-s"><span class="pl-pds">"</span>[0, 772]<span class="pl-pds">"</span></span> \
    Optimizer.lr.name=Const \
    Optimizer.lr.learning_rate=0.0005 \
    Optimizer.lr.warmup_epoch=0 \
    Train.dataset.data_dir=/home/aistudio/data/CCPD2020/ccpd_green \
    Train.dataset.label_file_list=[/home/aistudio/data/CCPD2020/PPOCR/train/det.txt] \
    Eval.dataset.data_dir=/home/aistudio/data/CCPD2020/ccpd_green \
    Eval.dataset.label_file_list=[/home/aistudio/data/CCPD2020/PPOCR/test/det.txt]</pre></div>
<p dir="auto">在上述命令中，通过<code>-o</code>的方式修改了配置文件中的参数。</p>
<p dir="auto">训练好的模型地址为: <a href="https://paddleocr.bj.bcebos.com/fanliku/license_plate_recognition/det_ppocr_v3_finetune.tar" rel="nofollow">det_ppocr_v3_finetune.tar</a></p>
<p dir="auto"><strong>评估</strong></p>
<p dir="auto">训练完成后使用如下命令进行评估</p>
<div class="highlight highlight-source-shell notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="python tools/eval.py -c configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_student.yml -o \
    Global.pretrained_model=output/CCPD/det/best_accuracy.pdparams \
    Eval.dataset.data_dir=/home/aistudio/data/CCPD2020/ccpd_green \
    Eval.dataset.label_file_list=[/home/aistudio/data/CCPD2020/PPOCR/test/det.txt]"><pre>python tools/eval.py -c configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_student.yml -o \
    Global.pretrained_model=output/CCPD/det/best_accuracy.pdparams \
    Eval.dataset.data_dir=/home/aistudio/data/CCPD2020/ccpd_green \
    Eval.dataset.label_file_list=[/home/aistudio/data/CCPD2020/PPOCR/test/det.txt]</pre></div>
<p dir="auto">使用预训练模型和CCPD车牌数据集fine-tune，指标分别如下：</p>
<table>
<thead>
<tr>
<th>方案</th>
<th>hmeans</th>
</tr>
</thead>
<tbody>
<tr>
<td>PP-OCRv3中英文超轻量检测预训练模型直接预测</td>
<td>76.12%</td>
</tr>
<tr>
<td>PP-OCRv3中英文超轻量检测预训练模型 fine-tune</td>
<td>99%</td>
</tr>
</tbody>
</table>
<p dir="auto">可以看到进行fine-tune能显著提升车牌检测的效果。</p>
<h4 dir="auto"><a id="user-content-413-ccpd车牌数据集fine-tune量化训练" class="anchor" aria-hidden="true" href="#413-ccpd车牌数据集fine-tune量化训练"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>4.1.3 CCPD车牌数据集fine-tune+量化训练</h4>
<p dir="auto">此处采用 PaddleOCR 中提供好的<a href="/PaddlePaddle/PaddleOCR/blob/dygraph/deploy/slim/quantization/README.md">量化教程</a>对模型进行量化训练。</p>
<p dir="auto">量化训练可通过如下命令启动:</p>
<div class="highlight highlight-source-shell notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="python3.7 deploy/slim/quantization/quant.py -c configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_student.yml -o \
    Global.pretrained_model=output/CCPD/det/best_accuracy.pdparams \
    Global.save_model_dir=output/CCPD/det_quant \
    Global.eval_batch_step=&quot;[0, 772]&quot; \
    Optimizer.lr.name=Const \
    Optimizer.lr.learning_rate=0.0005 \
    Optimizer.lr.warmup_epoch=0 \
    Train.dataset.data_dir=/home/aistudio/data/CCPD2020/ccpd_green \
    Train.dataset.label_file_list=[/home/aistudio/data/CCPD2020/PPOCR/train/det.txt] \
    Eval.dataset.data_dir=/home/aistudio/data/CCPD2020/ccpd_green \
    Eval.dataset.label_file_list=[/home/aistudio/data/CCPD2020/PPOCR/test/det.txt]"><pre>python3.7 deploy/slim/quantization/quant.py -c configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_student.yml -o \
    Global.pretrained_model=output/CCPD/det/best_accuracy.pdparams \
    Global.save_model_dir=output/CCPD/det_quant \
    Global.eval_batch_step=<span class="pl-s"><span class="pl-pds">"</span>[0, 772]<span class="pl-pds">"</span></span> \
    Optimizer.lr.name=Const \
    Optimizer.lr.learning_rate=0.0005 \
    Optimizer.lr.warmup_epoch=0 \
    Train.dataset.data_dir=/home/aistudio/data/CCPD2020/ccpd_green \
    Train.dataset.label_file_list=[/home/aistudio/data/CCPD2020/PPOCR/train/det.txt] \
    Eval.dataset.data_dir=/home/aistudio/data/CCPD2020/ccpd_green \
    Eval.dataset.label_file_list=[/home/aistudio/data/CCPD2020/PPOCR/test/det.txt]</pre></div>
<p dir="auto">训练好的模型地址为: <a href="https://paddleocr.bj.bcebos.com/fanliku/license_plate_recognition/det_ppocr_v3_quant.tar" rel="nofollow">det_ppocr_v3_quant.tar</a></p>
<p dir="auto">量化后指标对比如下</p>
<table>
<thead>
<tr>
<th>方案</th>
<th>hmeans</th>
<th>模型大小</th>
<th>预测速度(lite)</th>
</tr>
</thead>
<tbody>
<tr>
<td>PP-OCRv3中英文超轻量检测预训练模型 fine-tune</td>
<td>99%</td>
<td>2.5M</td>
<td>223ms</td>
</tr>
<tr>
<td>PP-OCRv3中英文超轻量检测预训练模型 fine-tune+量化</td>
<td>98.91%</td>
<td>1M</td>
<td>189ms</td>
</tr>
</tbody>
</table>
<p dir="auto">可以看到通过量化训练在精度几乎无损的情况下，降低模型体积60%并且推理速度提升15%。</p>
<p dir="auto">速度测试基于<a href="/PaddlePaddle/PaddleOCR/blob/dygraph/deploy/lite/readme_ch.md">PaddleOCR lite教程</a>完成。</p>
<h4 dir="auto"><a id="user-content-414-模型导出" class="anchor" aria-hidden="true" href="#414-模型导出"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>4.1.4 模型导出</h4>
<p dir="auto">使用如下命令可以将训练好的模型进行导出</p>
<ul dir="auto">
<li>非量化模型</li>
</ul>
<div class="highlight highlight-source-shell notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="python tools/export_model.py -c configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_student.yml -o \
    Global.pretrained_model=output/CCPD/det/best_accuracy.pdparams \
    Global.save_inference_dir=output/det/infer"><pre>python tools/export_model.py -c configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_student.yml -o \
    Global.pretrained_model=output/CCPD/det/best_accuracy.pdparams \
    Global.save_inference_dir=output/det/infer</pre></div>
<ul dir="auto">
<li>量化模型</li>
</ul>
<div class="highlight highlight-source-shell notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="python deploy/slim/quantization/export_model.py -c configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_student.yml -o \
    Global.pretrained_model=output/CCPD/det_quant/best_accuracy.pdparams \
    Global.save_inference_dir=output/det/infer"><pre>python deploy/slim/quantization/export_model.py -c configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_student.yml -o \
    Global.pretrained_model=output/CCPD/det_quant/best_accuracy.pdparams \
    Global.save_inference_dir=output/det/infer</pre></div>
<h3 dir="auto"><a id="user-content-42-识别" class="anchor" aria-hidden="true" href="#42-识别"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>4.2 识别</h3>
<h4 dir="auto"><a id="user-content-421-预训练模型直接预测" class="anchor" aria-hidden="true" href="#421-预训练模型直接预测"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>4.2.1 预训练模型直接预测</h4>
<p dir="auto">从下表中下载PP-OCRv3文本识别预训练模型</p>
<table>
<thead>
<tr>
<th>模型名称</th>
<th>模型简介</th>
<th>配置文件</th>
<th>推理模型大小</th>
<th>下载地址</th>
</tr>
</thead>
<tbody>
<tr>
<td>ch_PP-OCRv3_rec</td>
<td>【最新】原始超轻量模型，支持中英文、数字识别</td>
<td><a href="https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/configs/rec/PP-OCRv3/ch_PP-OCRv3_rec_distillation.yml">ch_PP-OCRv3_rec_distillation.yml</a></td>
<td>12.4M</td>
<td><a href="https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_infer.tar" rel="nofollow">推理模型</a> / <a href="https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_train.tar" rel="nofollow">训练模型</a></td>
</tr>
</tbody>
</table>
<p dir="auto">使用如下命令下载预训练模型</p>
<div class="highlight highlight-source-shell notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="mkdir models
cd models
wget https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_train.tar
tar -xf ch_PP-OCRv3_rec_train.tar
cd /home/aistudio/PaddleOCR"><pre>mkdir models
<span class="pl-c1">cd</span> models
wget https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_train.tar
tar -xf ch_PP-OCRv3_rec_train.tar
<span class="pl-c1">cd</span> /home/aistudio/PaddleOCR</pre></div>
<p dir="auto">PaddleOCR提供的PP-OCRv3识别模型采用蒸馏训练策略，因此提供的预训练模型中会包含<code>Teacher</code>和<code>Student</code>模型的参数，详细信息可参考<a href="/PaddlePaddle/PaddleOCR/blob/dygraph/doc/doc_ch/knowledge_distillation.md">knowledge_distillation.md</a>。 因此，模型下载完成后需要使用如下代码提取<code>Student</code>模型的参数：</p>
<div class="highlight highlight-source-python notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="import paddle
# 加载预训练模型
all_params = paddle.load(&quot;models/ch_PP-OCRv3_rec_train/best_accuracy.pdparams&quot;)
# 查看权重参数的keys
print(all_params.keys())
# 学生模型的权重提取
s_params = {key[len(&quot;Student.&quot;):]: all_params[key] for key in all_params if &quot;Student.&quot; in key}
# 查看学生模型权重参数的keys
print(s_params.keys())
# 保存
paddle.save(s_params, &quot;models/ch_PP-OCRv3_rec_train/student.pdparams&quot;)"><pre><span class="pl-k">import</span> <span class="pl-s1">paddle</span>
<span class="pl-c"># 加载预训练模型</span>
<span class="pl-s1">all_params</span> <span class="pl-c1">=</span> <span class="pl-s1">paddle</span>.<span class="pl-en">load</span>(<span class="pl-s">"models/ch_PP-OCRv3_rec_train/best_accuracy.pdparams"</span>)
<span class="pl-c"># 查看权重参数的keys</span>
<span class="pl-en">print</span>(<span class="pl-s1">all_params</span>.<span class="pl-en">keys</span>())
<span class="pl-c"># 学生模型的权重提取</span>
<span class="pl-s1">s_params</span> <span class="pl-c1">=</span> {<span class="pl-s1">key</span>[<span class="pl-en">len</span>(<span class="pl-s">"Student."</span>):]: <span class="pl-s1">all_params</span>[<span class="pl-s1">key</span>] <span class="pl-k">for</span> <span class="pl-s1">key</span> <span class="pl-c1">in</span> <span class="pl-s1">all_params</span> <span class="pl-k">if</span> <span class="pl-s">"Student."</span> <span class="pl-c1">in</span> <span class="pl-s1">key</span>}
<span class="pl-c"># 查看学生模型权重参数的keys</span>
<span class="pl-en">print</span>(<span class="pl-s1">s_params</span>.<span class="pl-en">keys</span>())
<span class="pl-c"># 保存</span>
<span class="pl-s1">paddle</span>.<span class="pl-en">save</span>(<span class="pl-s1">s_params</span>, <span class="pl-s">"models/ch_PP-OCRv3_rec_train/student.pdparams"</span>)</pre></div>
<p dir="auto">预训练模型下载完成后，我们使用<a href="/PaddlePaddle/PaddleOCR/blob/dygraph/configs/rec/PP-OCRv3/ch_PP-OCRv3_rec.yml">ch_PP-OCRv3_rec.yml</a> 配置文件进行后续实验，在开始评估之前需要对配置文件中部分字段进行设置，具体如下：</p>
<ol dir="auto">
<li>模型存储和训练相关:
<ol dir="auto">
<li>Global.pretrained_model: 指向PP-OCRv3文本识别预训练模型地址</li>
</ol>
</li>
<li>数据集相关
<ol dir="auto">
<li>Eval.dataset.data_dir：指向测试集图片存放目录</li>
<li>Eval.dataset.label_file_list：指向测试集标注文件</li>
</ol>
</li>
</ol>
<p dir="auto">使用如下命令进行PP-OCRv3文本识别预训练模型的评估</p>
<div class="highlight highlight-source-shell notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="python tools/eval.py -c configs/rec/PP-OCRv3/ch_PP-OCRv3_rec.yml -o \
    Global.pretrained_model=models/ch_PP-OCRv3_rec_train/student.pdparams \
    Eval.dataset.data_dir=/home/aistudio/data/CCPD2020/PPOCR \
    Eval.dataset.label_file_list=[/home/aistudio/data/CCPD2020/PPOCR/test/rec.txt]"><pre>python tools/eval.py -c configs/rec/PP-OCRv3/ch_PP-OCRv3_rec.yml -o \
    Global.pretrained_model=models/ch_PP-OCRv3_rec_train/student.pdparams \
    Eval.dataset.data_dir=/home/aistudio/data/CCPD2020/PPOCR \
    Eval.dataset.label_file_list=[/home/aistudio/data/CCPD2020/PPOCR/test/rec.txt]</pre></div>
<p dir="auto">评估部分日志如下：</p>
<div class="highlight highlight-source-shell notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="[2022/05/12 19:52:02] ppocr INFO: load pretrain successful from models/ch_PP-OCRv3_rec_train/best_accuracy
eval model:: 100%|██████████████████████████████| 40/40 [00:15&lt;00:00,  2.57it/s]
[2022/05/12 19:52:17] ppocr INFO: metric eval ***************
[2022/05/12 19:52:17] ppocr INFO: acc:0.0
[2022/05/12 19:52:17] ppocr INFO: norm_edit_dis:0.8656084923002452
[2022/05/12 19:52:17] ppocr INFO: Teacher_acc:0.000399520574511545
[2022/05/12 19:52:17] ppocr INFO: Teacher_norm_edit_dis:0.8657902943394548
[2022/05/12 19:52:17] ppocr INFO: fps:1443.1801978719905
"><pre>[2022/05/12 19:52:02] ppocr INFO: load pretrain successful from models/ch_PP-OCRv3_rec_train/best_accuracy
<span class="pl-c1">eval</span> model:: 100%<span class="pl-k">|</span>██████████████████████████████<span class="pl-k">|</span> 40/40 [00:<span class="pl-k">15&lt;</span>00:00,  2.57it/s]
[2022/05/12 19:52:17] ppocr INFO: metric <span class="pl-c1">eval</span> <span class="pl-k">***************</span>
[2022/05/12 19:52:17] ppocr INFO: acc:0.0
[2022/05/12 19:52:17] ppocr INFO: norm_edit_dis:0.8656084923002452
[2022/05/12 19:52:17] ppocr INFO: Teacher_acc:0.000399520574511545
[2022/05/12 19:52:17] ppocr INFO: Teacher_norm_edit_dis:0.8657902943394548
[2022/05/12 19:52:17] ppocr INFO: fps:1443.1801978719905
</pre></div>
<p dir="auto">使用预训练模型进行评估，指标如下所示：</p>
<table>
<thead>
<tr>
<th>方案</th>
<th>acc</th>
</tr>
</thead>
<tbody>
<tr>
<td>PP-OCRv3中英文超轻量识别预训练模型直接预测</td>
<td>0%</td>
</tr>
</tbody>
</table>
<p dir="auto">从评估日志中可以看到，直接使用PP-OCRv3预训练模型进行评估，acc非常低，但是norm_edit_dis很高。因此，我们猜测是模型大部分文字识别是对的，只有少部分文字识别错误。使用如下命令进行infer查看模型的推理结果进行验证：</p>
<div class="highlight highlight-source-shell notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="python tools/infer_rec.py -c configs/rec/PP-OCRv3/ch_PP-OCRv3_rec.yml -o \
    Global.pretrained_model=models/ch_PP-OCRv3_rec_train/student.pdparams \
    Global.infer_img=/home/aistudio/data/CCPD2020/PPOCR/test/crop_imgs/0_0_0_3_32_30_31_30_30.jpg"><pre>python tools/infer_rec.py -c configs/rec/PP-OCRv3/ch_PP-OCRv3_rec.yml -o \
    Global.pretrained_model=models/ch_PP-OCRv3_rec_train/student.pdparams \
    Global.infer_img=/home/aistudio/data/CCPD2020/PPOCR/test/crop_imgs/0_0_0_3_32_30_31_30_30.jpg</pre></div>
<p dir="auto">输出部分日志如下：</p>
<div class="highlight highlight-source-shell notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="[2022/05/01 08:51:57] ppocr INFO: train with paddle 2.2.2 and device CUDAPlace(0)
W0501 08:51:57.127391 11326 device_context.cc:447] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 11.0, Runtime API Version: 10.1
W0501 08:51:57.132315 11326 device_context.cc:465] device: 0, cuDNN Version: 7.6.
[2022/05/01 08:52:00] ppocr INFO: load pretrain successful from models/ch_PP-OCRv3_rec_train/student
[2022/05/01 08:52:00] ppocr INFO: infer_img: /home/aistudio/data/CCPD2020/PPOCR/test/crop_imgs/0_0_3_32_30_31_30_30.jpg
[2022/05/01 08:52:00] ppocr INFO:      result: {&quot;Student&quot;: {&quot;label&quot;: &quot;皖A·D86766&quot;, &quot;score&quot;: 0.9552637934684753}, &quot;Teacher&quot;: {&quot;label&quot;: &quot;皖A·D86766&quot;, &quot;score&quot;: 0.9917094707489014}}
[2022/05/01 08:52:00] ppocr INFO: success!"><pre>[2022/05/01 08:51:57] ppocr INFO: train with paddle 2.2.2 and device CUDAPlace(0)
W0501 08:51:57.127391 11326 device_context.cc:447] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 11.0, Runtime API Version: 10.1
W0501 08:51:57.132315 11326 device_context.cc:465] device: 0, cuDNN Version: 7.6.
[2022/05/01 08:52:00] ppocr INFO: load pretrain successful from models/ch_PP-OCRv3_rec_train/student
[2022/05/01 08:52:00] ppocr INFO: infer_img: /home/aistudio/data/CCPD2020/PPOCR/test/crop_imgs/0_0_3_32_30_31_30_30.jpg
[2022/05/01 08:52:00] ppocr INFO:      result: {<span class="pl-s"><span class="pl-pds">"</span>Student<span class="pl-pds">"</span></span>: {<span class="pl-s"><span class="pl-pds">"</span>label<span class="pl-pds">"</span></span>: <span class="pl-s"><span class="pl-pds">"</span>皖A·D86766<span class="pl-pds">"</span></span>, <span class="pl-s"><span class="pl-pds">"</span>score<span class="pl-pds">"</span></span>: 0.9552637934684753}, <span class="pl-s"><span class="pl-pds">"</span>Teacher<span class="pl-pds">"</span></span>: {<span class="pl-s"><span class="pl-pds">"</span>label<span class="pl-pds">"</span></span>: <span class="pl-s"><span class="pl-pds">"</span>皖A·D86766<span class="pl-pds">"</span></span>, <span class="pl-s"><span class="pl-pds">"</span>score<span class="pl-pds">"</span></span>: 0.9917094707489014}}
[2022/05/01 08:52:00] ppocr INFO: success<span class="pl-k">!</span></pre></div>
<p dir="auto">从infer结果可以看到，车牌中的文字大部分都识别正确，只是多识别出了一个<code>·</code>。针对这种情况，有如下两种方案：</p>
<ol dir="auto">
<li>直接通过后处理去掉多识别的<code>·</code>。</li>
<li>进行 fine-tune。</li>
</ol>
<h4 dir="auto"><a id="user-content-422-预训练模型直接预测改动后处理" class="anchor" aria-hidden="true" href="#422-预训练模型直接预测改动后处理"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>4.2.2 预训练模型直接预测+改动后处理</h4>
<p dir="auto">直接通过后处理去掉多识别的<code>·</code>，在后处理的改动比较简单，只需在 <a href="/PaddlePaddle/PaddleOCR/blob/dygraph/ppocr/postprocess/rec_postprocess.py">ppocr/postprocess/rec_postprocess.py</a> 文件的76行添加如下代码:</p>
<div class="highlight highlight-source-python notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="text = text.replace('·','')"><pre><span class="pl-s1">text</span> <span class="pl-c1">=</span> <span class="pl-s1">text</span>.<span class="pl-en">replace</span>(<span class="pl-s">'·'</span>,<span class="pl-s">''</span>)</pre></div>
<p dir="auto">改动前后指标对比:</p>
<table>
<thead>
<tr>
<th>方案</th>
<th>acc</th>
</tr>
</thead>
<tbody>
<tr>
<td>PP-OCRv3中英文超轻量识别预训练模型直接预测</td>
<td>0.2%</td>
</tr>
<tr>
<td>PP-OCRv3中英文超轻量识别预训练模型直接预测+后处理去掉多识别的<code>·</code></td>
<td>90.97%</td>
</tr>
</tbody>
</table>
<p dir="auto">可以看到，去掉多余的<code>·</code>能大幅提高精度。</p>
<h4 dir="auto"><a id="user-content-423-ccpd车牌数据集fine-tune" class="anchor" aria-hidden="true" href="#423-ccpd车牌数据集fine-tune"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>4.2.3 CCPD车牌数据集fine-tune</h4>
<p dir="auto"><strong>训练</strong></p>
<p dir="auto">为了进行fine-tune训练，我们需要在配置文件中设置需要使用的预训练模型地址，学习率和数据集等参数。 具体如下:</p>
<ol dir="auto">
<li>模型存储和训练相关:
<ol dir="auto">
<li>Global.pretrained_model: 指向PP-OCRv3文本识别预训练模型地址</li>
<li>Global.eval_batch_step: 模型多少step评估一次，这里设为从第0个step开始没隔45个step评估一次，45为一个epoch总的step数。</li>
</ol>
</li>
<li>优化器相关
<ol dir="auto">
<li>Optimizer.lr.name: 学习率衰减器设为常量 Const</li>
<li>Optimizer.lr.learning_rate: 做 fine-tune 实验，学习率需要设置的比较小，此处学习率设为配置文件中的0.05倍</li>
<li>Optimizer.lr.warmup_epoch: warmup_epoch设为0</li>
</ol>
</li>
<li>数据集相关
<ol dir="auto">
<li>Train.dataset.data_dir：指向训练集图片存放目录</li>
<li>Train.dataset.label_file_list：指向训练集标注文件</li>
<li>Eval.dataset.data_dir：指向测试集图片存放目录</li>
<li>Eval.dataset.label_file_list：指向测试集标注文件</li>
</ol>
</li>
</ol>
<p dir="auto">使用如下命令启动 fine-tune</p>
<div class="highlight highlight-source-shell notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="python tools/train.py -c configs/rec/PP-OCRv3/ch_PP-OCRv3_rec.yml -o \
    Global.pretrained_model=models/ch_PP-OCRv3_rec_train/student.pdparams \
    Global.save_model_dir=output/CCPD/rec/ \
    Global.eval_batch_step=&quot;[0, 90]&quot; \
    Optimizer.lr.name=Const \
    Optimizer.lr.learning_rate=0.0005 \
    Optimizer.lr.warmup_epoch=0 \
    Train.dataset.data_dir=/home/aistudio/data/CCPD2020/PPOCR \
    Train.dataset.label_file_list=[/home/aistudio/data/CCPD2020/PPOCR/train/rec.txt] \
    Eval.dataset.data_dir=/home/aistudio/data/CCPD2020/PPOCR \
    Eval.dataset.label_file_list=[/home/aistudio/data/CCPD2020/PPOCR/test/rec.txt]"><pre>python tools/train.py -c configs/rec/PP-OCRv3/ch_PP-OCRv3_rec.yml -o \
    Global.pretrained_model=models/ch_PP-OCRv3_rec_train/student.pdparams \
    Global.save_model_dir=output/CCPD/rec/ \
    Global.eval_batch_step=<span class="pl-s"><span class="pl-pds">"</span>[0, 90]<span class="pl-pds">"</span></span> \
    Optimizer.lr.name=Const \
    Optimizer.lr.learning_rate=0.0005 \
    Optimizer.lr.warmup_epoch=0 \
    Train.dataset.data_dir=/home/aistudio/data/CCPD2020/PPOCR \
    Train.dataset.label_file_list=[/home/aistudio/data/CCPD2020/PPOCR/train/rec.txt] \
    Eval.dataset.data_dir=/home/aistudio/data/CCPD2020/PPOCR \
    Eval.dataset.label_file_list=[/home/aistudio/data/CCPD2020/PPOCR/test/rec.txt]</pre></div>
<p dir="auto">训练好的模型地址为: <a href="https://paddleocr.bj.bcebos.com/fanliku/license_plate_recognition/rec_ppocr_v3_finetune.tar" rel="nofollow">rec_ppocr_v3_finetune.tar</a></p>
<p dir="auto"><strong>评估</strong></p>
<p dir="auto">训练完成后使用如下命令进行评估</p>
<div class="highlight highlight-source-shell notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="python tools/eval.py -c configs/rec/PP-OCRv3/ch_PP-OCRv3_rec.yml -o \
    Global.pretrained_model=output/CCPD/rec/best_accuracy.pdparams \
    Eval.dataset.data_dir=/home/aistudio/data/CCPD2020/PPOCR \
    Eval.dataset.label_file_list=[/home/aistudio/data/CCPD2020/PPOCR/test/rec.txt]"><pre>python tools/eval.py -c configs/rec/PP-OCRv3/ch_PP-OCRv3_rec.yml -o \
    Global.pretrained_model=output/CCPD/rec/best_accuracy.pdparams \
    Eval.dataset.data_dir=/home/aistudio/data/CCPD2020/PPOCR \
    Eval.dataset.label_file_list=[/home/aistudio/data/CCPD2020/PPOCR/test/rec.txt]</pre></div>
<p dir="auto">使用预训练模型和CCPD车牌数据集fine-tune，指标分别如下：</p>
<table>
<thead>
<tr>
<th>方案</th>
<th>acc</th>
</tr>
</thead>
<tbody>
<tr>
<td>PP-OCRv3中英文超轻量识别预训练模型直接预测</td>
<td>0%</td>
</tr>
<tr>
<td>PP-OCRv3中英文超轻量识别预训练模型直接预测+后处理去掉多识别的<code>·</code></td>
<td>90.97%</td>
</tr>
<tr>
<td>PP-OCRv3中英文超轻量识别预训练模型 fine-tune</td>
<td>94.54%</td>
</tr>
</tbody>
</table>
<p dir="auto">可以看到进行fine-tune能显著提升车牌识别的效果。</p>
<h4 dir="auto"><a id="user-content-424-ccpd车牌数据集fine-tune量化训练" class="anchor" aria-hidden="true" href="#424-ccpd车牌数据集fine-tune量化训练"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>4.2.4 CCPD车牌数据集fine-tune+量化训练</h4>
<p dir="auto">此处采用 PaddleOCR 中提供好的<a href="/PaddlePaddle/PaddleOCR/blob/dygraph/deploy/slim/quantization/README.md">量化教程</a>对模型进行量化训练。</p>
<p dir="auto">量化训练可通过如下命令启动:</p>
<div class="highlight highlight-source-shell notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="python3.7 deploy/slim/quantization/quant.py -c configs/rec/PP-OCRv3/ch_PP-OCRv3_rec.yml -o \
    Global.pretrained_model=output/CCPD/rec/best_accuracy.pdparams \
    Global.save_model_dir=output/CCPD/rec_quant/ \
    Global.eval_batch_step=&quot;[0, 90]&quot; \
    Optimizer.lr.name=Const \
    Optimizer.lr.learning_rate=0.0005 \
    Optimizer.lr.warmup_epoch=0 \
    Train.dataset.data_dir=/home/aistudio/data/CCPD2020/PPOCR \
    Train.dataset.label_file_list=[/home/aistudio/data/CCPD2020/PPOCR/train/rec.txt] \
    Eval.dataset.data_dir=/home/aistudio/data/CCPD2020/PPOCR \
    Eval.dataset.label_file_list=[/home/aistudio/data/CCPD2020/PPOCR/test/rec.txt]"><pre>python3.7 deploy/slim/quantization/quant.py -c configs/rec/PP-OCRv3/ch_PP-OCRv3_rec.yml -o \
    Global.pretrained_model=output/CCPD/rec/best_accuracy.pdparams \
    Global.save_model_dir=output/CCPD/rec_quant/ \
    Global.eval_batch_step=<span class="pl-s"><span class="pl-pds">"</span>[0, 90]<span class="pl-pds">"</span></span> \
    Optimizer.lr.name=Const \
    Optimizer.lr.learning_rate=0.0005 \
    Optimizer.lr.warmup_epoch=0 \
    Train.dataset.data_dir=/home/aistudio/data/CCPD2020/PPOCR \
    Train.dataset.label_file_list=[/home/aistudio/data/CCPD2020/PPOCR/train/rec.txt] \
    Eval.dataset.data_dir=/home/aistudio/data/CCPD2020/PPOCR \
    Eval.dataset.label_file_list=[/home/aistudio/data/CCPD2020/PPOCR/test/rec.txt]</pre></div>
<p dir="auto">训练好的模型地址为: <a href="https://paddleocr.bj.bcebos.com/fanliku/license_plate_recognition/rec_ppocr_v3_quant.tar" rel="nofollow">rec_ppocr_v3_quant.tar</a></p>
<p dir="auto">量化后指标对比如下</p>
<table>
<thead>
<tr>
<th>方案</th>
<th>acc</th>
<th>模型大小</th>
<th>预测速度(lite)</th>
</tr>
</thead>
<tbody>
<tr>
<td>PP-OCRv3中英文超轻量识别预训练模型 fine-tune</td>
<td>94.54%</td>
<td>10.3M</td>
<td>4.2ms</td>
</tr>
<tr>
<td>PP-OCRv3中英文超轻量识别预训练模型 fine-tune + 量化</td>
<td>93.4%</td>
<td>4.8M</td>
<td>1.8ms</td>
</tr>
</tbody>
</table>
<p dir="auto">可以看到量化后能降低模型体积53%并且推理速度提升57%，但是由于识别数据过少，量化带来了1%的精度下降。</p>
<p dir="auto">速度测试基于<a href="/PaddlePaddle/PaddleOCR/blob/dygraph/deploy/lite/readme_ch.md">PaddleOCR lite教程</a>完成。</p>
<h4 dir="auto"><a id="user-content-425-模型导出" class="anchor" aria-hidden="true" href="#425-模型导出"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>4.2.5 模型导出</h4>
<p dir="auto">使用如下命令可以将训练好的模型进行导出。</p>
<ul dir="auto">
<li>非量化模型</li>
</ul>
<div class="highlight highlight-source-shell notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="python tools/export_model.py -c configs/rec/PP-OCRv3/ch_PP-OCRv3_rec.yml -o \
    Global.pretrained_model=output/CCPD/rec/best_accuracy.pdparams \
    Global.save_inference_dir=output/CCPD/rec/infer"><pre>python tools/export_model.py -c configs/rec/PP-OCRv3/ch_PP-OCRv3_rec.yml -o \
    Global.pretrained_model=output/CCPD/rec/best_accuracy.pdparams \
    Global.save_inference_dir=output/CCPD/rec/infer</pre></div>
<ul dir="auto">
<li>量化模型</li>
</ul>
<div class="highlight highlight-source-shell notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="python deploy/slim/quantization/export_model.py -c configs/rec/PP-OCRv3/ch_PP-OCRv3_rec.yml -o \
    Global.pretrained_model=output/CCPD/rec_quant/best_accuracy.pdparams \
    Global.save_inference_dir=output/CCPD/rec_quant/infer"><pre>python deploy/slim/quantization/export_model.py -c configs/rec/PP-OCRv3/ch_PP-OCRv3_rec.yml -o \
    Global.pretrained_model=output/CCPD/rec_quant/best_accuracy.pdparams \
    Global.save_inference_dir=output/CCPD/rec_quant/infer</pre></div>
<h3 dir="auto"><a id="user-content-43-计算end2end指标" class="anchor" aria-hidden="true" href="#43-计算end2end指标"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>4.3 计算End2End指标</h3>
<p dir="auto">端到端指标可通过 <a href="/PaddlePaddle/PaddleOCR/blob/dygraph/tools/end2end/readme.md">PaddleOCR内置脚本</a> 进行计算，具体步骤如下：</p>
<ol dir="auto">
<li>导出模型</li>
</ol>
<p dir="auto">通过如下命令进行模型的导出。注意，量化模型导出时，需要配置eval数据集</p>
<div class="highlight highlight-source-shell notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="# 检测模型

# 预训练模型
python tools/export_model.py -c configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_student.yml -o \
    Global.pretrained_model=models/ch_PP-OCRv3_det_distill_train/student.pdparams \
    Global.save_inference_dir=output/ch_PP-OCRv3_det_distill_train/infer

# 非量化模型
python tools/export_model.py -c configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_student.yml -o \
    Global.pretrained_model=output/CCPD/det/best_accuracy.pdparams \
    Global.save_inference_dir=output/CCPD/det/infer

# 量化模型
python deploy/slim/quantization/export_model.py -c configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_student.yml -o \
    Global.pretrained_model=output/CCPD/det_quant/best_accuracy.pdparams \
    Global.save_inference_dir=output/CCPD/det_quant/infer \
    Eval.dataset.data_dir=/home/aistudio/data/CCPD2020/ccpd_green \
    Eval.dataset.label_file_list=[/home/aistudio/data/CCPD2020/PPOCR/test/det.txt] \
    Eval.loader.num_workers=0

# 识别模型

# 预训练模型
python tools/export_model.py -c configs/rec/PP-OCRv3/ch_PP-OCRv3_rec.yml -o \
    Global.pretrained_model=models/ch_PP-OCRv3_rec_train/student.pdparams \
    Global.save_inference_dir=output/ch_PP-OCRv3_rec_train/infer

# 非量化模型
python tools/export_model.py -c configs/rec/PP-OCRv3/ch_PP-OCRv3_rec.yml -o \
    Global.pretrained_model=output/CCPD/rec/best_accuracy.pdparams \
    Global.save_inference_dir=output/CCPD/rec/infer

# 量化模型
python deploy/slim/quantization/export_model.py -c configs/rec/PP-OCRv3/ch_PP-OCRv3_rec.yml -o \
    Global.pretrained_model=output/CCPD/rec_quant/best_accuracy.pdparams \
    Global.save_inference_dir=output/CCPD/rec_quant/infer \
    Eval.dataset.data_dir=/home/aistudio/data/CCPD2020/PPOCR \
    Eval.dataset.label_file_list=[/home/aistudio/data/CCPD2020/PPOCR/test/rec.txt]"><pre><span class="pl-c"><span class="pl-c">#</span> 检测模型</span>

<span class="pl-c"><span class="pl-c">#</span> 预训练模型</span>
python tools/export_model.py -c configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_student.yml -o \
    Global.pretrained_model=models/ch_PP-OCRv3_det_distill_train/student.pdparams \
    Global.save_inference_dir=output/ch_PP-OCRv3_det_distill_train/infer

<span class="pl-c"><span class="pl-c">#</span> 非量化模型</span>
python tools/export_model.py -c configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_student.yml -o \
    Global.pretrained_model=output/CCPD/det/best_accuracy.pdparams \
    Global.save_inference_dir=output/CCPD/det/infer

<span class="pl-c"><span class="pl-c">#</span> 量化模型</span>
python deploy/slim/quantization/export_model.py -c configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_student.yml -o \
    Global.pretrained_model=output/CCPD/det_quant/best_accuracy.pdparams \
    Global.save_inference_dir=output/CCPD/det_quant/infer \
    Eval.dataset.data_dir=/home/aistudio/data/CCPD2020/ccpd_green \
    Eval.dataset.label_file_list=[/home/aistudio/data/CCPD2020/PPOCR/test/det.txt] \
    Eval.loader.num_workers=0

<span class="pl-c"><span class="pl-c">#</span> 识别模型</span>

<span class="pl-c"><span class="pl-c">#</span> 预训练模型</span>
python tools/export_model.py -c configs/rec/PP-OCRv3/ch_PP-OCRv3_rec.yml -o \
    Global.pretrained_model=models/ch_PP-OCRv3_rec_train/student.pdparams \
    Global.save_inference_dir=output/ch_PP-OCRv3_rec_train/infer

<span class="pl-c"><span class="pl-c">#</span> 非量化模型</span>
python tools/export_model.py -c configs/rec/PP-OCRv3/ch_PP-OCRv3_rec.yml -o \
    Global.pretrained_model=output/CCPD/rec/best_accuracy.pdparams \
    Global.save_inference_dir=output/CCPD/rec/infer

<span class="pl-c"><span class="pl-c">#</span> 量化模型</span>
python deploy/slim/quantization/export_model.py -c configs/rec/PP-OCRv3/ch_PP-OCRv3_rec.yml -o \
    Global.pretrained_model=output/CCPD/rec_quant/best_accuracy.pdparams \
    Global.save_inference_dir=output/CCPD/rec_quant/infer \
    Eval.dataset.data_dir=/home/aistudio/data/CCPD2020/PPOCR \
    Eval.dataset.label_file_list=[/home/aistudio/data/CCPD2020/PPOCR/test/rec.txt]</pre></div>
<ol start="2" dir="auto">
<li>用导出的模型对测试集进行预测</li>
</ol>
<p dir="auto">此处，分别使用PP-OCRv3预训练模型，fintune模型和量化模型对测试集的所有图像进行预测，命令如下：</p>
<div class="highlight highlight-source-shell notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="# PP-OCRv3中英文超轻量检测预训练模型，PP-OCRv3中英文超轻量识别预训练模型
python3 tools/infer/predict_system.py --det_model_dir=models/ch_PP-OCRv3_det_distill_train/infer --rec_model_dir=models/ch_PP-OCRv3_rec_train/infer --det_limit_side_len=736 --det_limit_type=min --image_dir=/home/aistudio/data/CCPD2020/ccpd_green/test/ --draw_img_save_dir=infer/pretrain --use_dilation=true

# PP-OCRv3中英文超轻量检测预训练模型+fine-tune，PP-OCRv3中英文超轻量识别预训练模型+fine-tune
python3 tools/infer/predict_system.py --det_model_dir=output/CCPD/det/infer --rec_model_dir=output/CCPD/rec/infer --det_limit_side_len=736 --det_limit_type=min --image_dir=/home/aistudio/data/CCPD2020/ccpd_green/test/ --draw_img_save_dir=infer/fine-tune --use_dilation=true

# PP-OCRv3中英文超轻量检测预训练模型 fine-tune +量化，PP-OCRv3中英文超轻量识别预训练模型 fine-tune +量化 结果转换和评估
python3 tools/infer/predict_system.py --det_model_dir=output/CCPD/det_quant/infer --rec_model_dir=output/CCPD/rec_quant/infer --det_limit_side_len=736 --det_limit_type=min --image_dir=/home/aistudio/data/CCPD2020/ccpd_green/test/ --draw_img_save_dir=infer/quant --use_dilation=true"><pre><span class="pl-c"><span class="pl-c">#</span> PP-OCRv3中英文超轻量检测预训练模型，PP-OCRv3中英文超轻量识别预训练模型</span>
python3 tools/infer/predict_system.py --det_model_dir=models/ch_PP-OCRv3_det_distill_train/infer --rec_model_dir=models/ch_PP-OCRv3_rec_train/infer --det_limit_side_len=736 --det_limit_type=min --image_dir=/home/aistudio/data/CCPD2020/ccpd_green/test/ --draw_img_save_dir=infer/pretrain --use_dilation=true

<span class="pl-c"><span class="pl-c">#</span> PP-OCRv3中英文超轻量检测预训练模型+fine-tune，PP-OCRv3中英文超轻量识别预训练模型+fine-tune</span>
python3 tools/infer/predict_system.py --det_model_dir=output/CCPD/det/infer --rec_model_dir=output/CCPD/rec/infer --det_limit_side_len=736 --det_limit_type=min --image_dir=/home/aistudio/data/CCPD2020/ccpd_green/test/ --draw_img_save_dir=infer/fine-tune --use_dilation=true

<span class="pl-c"><span class="pl-c">#</span> PP-OCRv3中英文超轻量检测预训练模型 fine-tune +量化，PP-OCRv3中英文超轻量识别预训练模型 fine-tune +量化 结果转换和评估</span>
python3 tools/infer/predict_system.py --det_model_dir=output/CCPD/det_quant/infer --rec_model_dir=output/CCPD/rec_quant/infer --det_limit_side_len=736 --det_limit_type=min --image_dir=/home/aistudio/data/CCPD2020/ccpd_green/test/ --draw_img_save_dir=infer/quant --use_dilation=true</pre></div>
<ol start="3" dir="auto">
<li>转换label并计算指标</li>
</ol>
<p dir="auto">将gt和上一步保存的预测结果转换为端对端评测需要的数据格式，并根据转换后的数据进行端到端指标计算</p>
<div class="highlight highlight-source-shell notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="python3 tools/end2end/convert_ppocr_label.py --mode=gt --label_path=/home/aistudio/data/CCPD2020/PPOCR/test/det.txt --save_folder=end2end/gt

# PP-OCRv3中英文超轻量检测预训练模型，PP-OCRv3中英文超轻量识别预训练模型 结果转换和评估
python3 tools/end2end/convert_ppocr_label.py --mode=pred --label_path=infer/pretrain/system_results.txt --save_folder=end2end/pretrain
python3 tools/end2end/eval_end2end.py end2end/gt end2end/pretrain

# PP-OCRv3中英文超轻量检测预训练模型，PP-OCRv3中英文超轻量识别预训练模型+后处理去掉多识别的`·` 结果转换和评估
# 需手动修改后处理函数
python3 tools/end2end/convert_ppocr_label.py --mode=pred --label_path=infer/post/system_results.txt --save_folder=end2end/post
python3 tools/end2end/eval_end2end.py end2end/gt end2end/post

# PP-OCRv3中英文超轻量检测预训练模型 fine-tune，PP-OCRv3中英文超轻量识别预训练模型 fine-tune 结果转换和评估
python3 tools/end2end/convert_ppocr_label.py --mode=pred --label_path=infer/fine-tune/system_results.txt --save_folder=end2end/fine-tune
python3 tools/end2end/eval_end2end.py end2end/gt end2end/fine-tune

# PP-OCRv3中英文超轻量检测预训练模型 fine-tune +量化，PP-OCRv3中英文超轻量识别预训练模型 fine-tune +量化 结果转换和评估
python3 tools/end2end/convert_ppocr_label.py --mode=pred --label_path=infer/quant/system_results.txt --save_folder=end2end/quant
python3 tools/end2end/eval_end2end.py end2end/gt end2end/quant"><pre>python3 tools/end2end/convert_ppocr_label.py --mode=gt --label_path=/home/aistudio/data/CCPD2020/PPOCR/test/det.txt --save_folder=end2end/gt

<span class="pl-c"><span class="pl-c">#</span> PP-OCRv3中英文超轻量检测预训练模型，PP-OCRv3中英文超轻量识别预训练模型 结果转换和评估</span>
python3 tools/end2end/convert_ppocr_label.py --mode=pred --label_path=infer/pretrain/system_results.txt --save_folder=end2end/pretrain
python3 tools/end2end/eval_end2end.py end2end/gt end2end/pretrain

<span class="pl-c"><span class="pl-c">#</span> PP-OCRv3中英文超轻量检测预训练模型，PP-OCRv3中英文超轻量识别预训练模型+后处理去掉多识别的`·` 结果转换和评估</span>
<span class="pl-c"><span class="pl-c">#</span> 需手动修改后处理函数</span>
python3 tools/end2end/convert_ppocr_label.py --mode=pred --label_path=infer/post/system_results.txt --save_folder=end2end/post
python3 tools/end2end/eval_end2end.py end2end/gt end2end/post

<span class="pl-c"><span class="pl-c">#</span> PP-OCRv3中英文超轻量检测预训练模型 fine-tune，PP-OCRv3中英文超轻量识别预训练模型 fine-tune 结果转换和评估</span>
python3 tools/end2end/convert_ppocr_label.py --mode=pred --label_path=infer/fine-tune/system_results.txt --save_folder=end2end/fine-tune
python3 tools/end2end/eval_end2end.py end2end/gt end2end/fine-tune

<span class="pl-c"><span class="pl-c">#</span> PP-OCRv3中英文超轻量检测预训练模型 fine-tune +量化，PP-OCRv3中英文超轻量识别预训练模型 fine-tune +量化 结果转换和评估</span>
python3 tools/end2end/convert_ppocr_label.py --mode=pred --label_path=infer/quant/system_results.txt --save_folder=end2end/quant
python3 tools/end2end/eval_end2end.py end2end/gt end2end/quant</pre></div>
<p dir="auto">日志如下:</p>
<div class="highlight highlight-source-shell notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="The convert label saved in end2end/gt
The convert label saved in end2end/pretrain
start testing...
hit, dt_count, gt_count 2 5988 5006
character_acc: 70.42%
avg_edit_dist_field: 2.37
avg_edit_dist_img: 2.37
precision: 0.03%
recall: 0.04%
fmeasure: 0.04%
The convert label saved in end2end/post
start testing...
hit, dt_count, gt_count 4224 5988 5006
character_acc: 81.59%
avg_edit_dist_field: 1.47
avg_edit_dist_img: 1.47
precision: 70.54%
recall: 84.38%
fmeasure: 76.84%
The convert label saved in end2end/fine-tune
start testing...
hit, dt_count, gt_count 4286 4898 5006
character_acc: 94.16%
avg_edit_dist_field: 0.47
avg_edit_dist_img: 0.47
precision: 87.51%
recall: 85.62%
fmeasure: 86.55%
The convert label saved in end2end/quant
start testing...
hit, dt_count, gt_count 4349 4951 5006
character_acc: 94.13%
avg_edit_dist_field: 0.47
avg_edit_dist_img: 0.47
precision: 87.84%
recall: 86.88%
fmeasure: 87.36%"><pre>The convert label saved <span class="pl-k">in</span> end2end/gt
The convert label saved <span class="pl-k">in</span> end2end/pretrain
start testing...
hit, dt_count, gt_count 2 5988 5006
character_acc: 70.42%
avg_edit_dist_field: 2.37
avg_edit_dist_img: 2.37
precision: 0.03%
recall: 0.04%
fmeasure: 0.04%
The convert label saved <span class="pl-k">in</span> end2end/post
start testing...
hit, dt_count, gt_count 4224 5988 5006
character_acc: 81.59%
avg_edit_dist_field: 1.47
avg_edit_dist_img: 1.47
precision: 70.54%
recall: 84.38%
fmeasure: 76.84%
The convert label saved <span class="pl-k">in</span> end2end/fine-tune
start testing...
hit, dt_count, gt_count 4286 4898 5006
character_acc: 94.16%
avg_edit_dist_field: 0.47
avg_edit_dist_img: 0.47
precision: 87.51%
recall: 85.62%
fmeasure: 86.55%
The convert label saved <span class="pl-k">in</span> end2end/quant
start testing...
hit, dt_count, gt_count 4349 4951 5006
character_acc: 94.13%
avg_edit_dist_field: 0.47
avg_edit_dist_img: 0.47
precision: 87.84%
recall: 86.88%
fmeasure: 87.36%</pre></div>
<p dir="auto">各个方案端到端指标如下：</p>
<table>
<thead>
<tr>
<th>模型</th>
<th>指标</th>
</tr>
</thead>
<tbody>
<tr>
<td>PP-OCRv3中英文超轻量检测预训练模型 <br> PP-OCRv3中英文超轻量识别预训练模型</td>
<td>0.04%</td>
</tr>
<tr>
<td>PP-OCRv3中英文超轻量检测预训练模型 <br> PP-OCRv3中英文超轻量识别预训练模型 + 后处理去掉多识别的<code>·</code></td>
<td>78.27%</td>
</tr>
<tr>
<td>PP-OCRv3中英文超轻量检测预训练模型+fine-tune <br> PP-OCRv3中英文超轻量识别预训练模型+fine-tune</td>
<td>87.14%</td>
</tr>
<tr>
<td>PP-OCRv3中英文超轻量检测预训练模型+fine-tune+量化 <br> PP-OCRv3中英文超轻量识别预训练模型+fine-tune+量化</td>
<td>88%</td>
</tr>
</tbody>
</table>
<p dir="auto">从结果中可以看到对预训练模型不做修改，只根据场景下的具体情况进行后处理的修改就能大幅提升端到端指标到78.27%，在CCPD数据集上进行 fine-tune 后指标进一步提升到87.14%, 在经过量化训练之后，由于检测模型的recall变高，指标进一步提升到88%。但是这个结果仍旧不符合检测模型+识别模型的真实性能(99%*94%=93%)，因此我们需要对 base case 进行具体分析。</p>
<p dir="auto">在之前的端到端预测结果中，可以看到很多不符合车牌标注的文字被识别出来, 因此可以进行简单的过滤来提升precision</p>
<p dir="auto">为了快速评估，我们在 <code> tools/end2end/convert_ppocr_label.py</code> 脚本的 58 行加入如下代码，对非8个字符的结果进行过滤</p>
<div class="highlight highlight-source-python notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="if len(txt) != 8: # 车牌字符串长度为8
    continue"><pre><span class="pl-k">if</span> <span class="pl-en">len</span>(<span class="pl-s1">txt</span>) <span class="pl-c1">!=</span> <span class="pl-c1">8</span>: <span class="pl-c"># 车牌字符串长度为8</span>
    <span class="pl-k">continue</span></pre></div>
<p dir="auto">此外，通过可视化box可以发现有很多框都是竖直翻转之后的框，并且没有完全框住车牌边界，因此需要进行框的竖直翻转以及轻微扩大，示意图如下：</p>
<p dir="auto"><a target="_blank" rel="noopener noreferrer" href="https://camo.githubusercontent.com/199752de33937424916ca3fd6ef50f83461dca6034c35d251e32a4eecd4c3228/68747470733a2f2f61692d73747564696f2d7374617469632d6f6e6c696e652e63646e2e626365626f732e636f6d2f35396162303431316338656234646664393137666232623665356236396131376565376361343833353134343461656339616336313034623739666631303238"><img src="https://camo.githubusercontent.com/199752de33937424916ca3fd6ef50f83461dca6034c35d251e32a4eecd4c3228/68747470733a2f2f61692d73747564696f2d7374617469632d6f6e6c696e652e63646e2e626365626f732e636f6d2f35396162303431316338656234646664393137666232623665356236396131376565376361343833353134343461656339616336313034623739666631303238" alt="" data-canonical-src="https://ai-studio-static-online.cdn.bcebos.com/59ab0411c8eb4dfd917fb2b6e5b69a17ee7ca48351444aec9ac6104b79ff1028" style="max-width: 100%;"></a></p>
<p dir="auto">修改前后个方案指标对比如下：</p>
<p dir="auto">各个方案端到端指标如下：</p>
<table>
<thead>
<tr>
<th>模型</th>
<th>base</th>
<th>A:识别结果过滤</th>
<th>B:use_dilation</th>
<th>C:flip_box</th>
<th>best</th>
</tr>
</thead>
<tbody>
<tr>
<td>PP-OCRv3中英文超轻量检测预训练模型 <br> PP-OCRv3中英文超轻量识别预训练模型</td>
<td>0.04%</td>
<td>0.08%</td>
<td>0.02%</td>
<td>0.05%</td>
<td>0.00%(A)</td>
</tr>
<tr>
<td>PP-OCRv3中英文超轻量检测预训练模型 <br> PP-OCRv3中英文超轻量识别预训练模型 + 后处理去掉多识别的<code>·</code></td>
<td>78.27%</td>
<td>90.84%</td>
<td>78.61%</td>
<td>79.43%</td>
<td>91.66%(A+B+C)</td>
</tr>
<tr>
<td>PP-OCRv3中英文超轻量检测预训练模型+fine-tune <br> PP-OCRv3中英文超轻量识别预训练模型+fine-tune</td>
<td>87.14%</td>
<td>90.40%</td>
<td>87.66%</td>
<td>89.98</td>
<td>92.5%(A+B+C)</td>
</tr>
<tr>
<td>PP-OCRv3中英文超轻量检测预训练模型+fine-tune+量化 <br> PP-OCRv3中英文超轻量识别预训练模型+fine-tune+量化</td>
<td>88%</td>
<td>90.54%</td>
<td>88.5%</td>
<td>89.46%</td>
<td>92.02%(A+B+C)</td>
</tr>
</tbody>
</table>
<p dir="auto">从结果中可以看到对预训练模型不做修改，只根据场景下的具体情况进行后处理的修改就能大幅提升端到端指标到91.66%，在CCPD数据集上进行 fine-tune 后指标进一步提升到92.5%, 在经过量化训练之后，指标变为92.02%。</p>
<h3 dir="auto"><a id="user-content-44-部署" class="anchor" aria-hidden="true" href="#44-部署"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>4.4 部署</h3>
<ul dir="auto">
<li>基于 Paddle Inference 的python推理</li>
</ul>
<p dir="auto">检测模型和识别模型分别 fine-tune 并导出为inference模型之后，可以使用如下命令基于 Paddle Inference 进行端到端推理并对结果进行可视化。</p>
<div class="highlight highlight-source-shell notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="python tools/infer/predict_system.py \
    --det_model_dir=output/CCPD/det/infer/ \
    --rec_model_dir=output/CCPD/rec/infer/ \
    --image_dir=&quot;/home/aistudio/data/CCPD2020/ccpd_green/test/04131106321839081-92_258-159&amp;509_530&amp;611-527&amp;611_172&amp;599_159&amp;509_530&amp;525-0_0_3_32_30_31_30_30-109-106.jpg&quot; \
    --rec_image_shape=3,48,320"><pre>python tools/infer/predict_system.py \
    --det_model_dir=output/CCPD/det/infer/ \
    --rec_model_dir=output/CCPD/rec/infer/ \
    --image_dir=<span class="pl-s"><span class="pl-pds">"</span>/home/aistudio/data/CCPD2020/ccpd_green/test/04131106321839081-92_258-159&amp;509_530&amp;611-527&amp;611_172&amp;599_159&amp;509_530&amp;525-0_0_3_32_30_31_30_30-109-106.jpg<span class="pl-pds">"</span></span> \
    --rec_image_shape=3,48,320</pre></div>
<p dir="auto">推理结果如下</p>
<p dir="auto"><a target="_blank" rel="noopener noreferrer" href="https://camo.githubusercontent.com/b5c04d7affeca84aebcff3bf829edff2d142d26d700fd208c24b983144df766d/68747470733a2f2f61692d73747564696f2d7374617469632d6f6e6c696e652e63646e2e626365626f732e636f6d2f37366236613039333963326334636634393033396236353633633462323865323431653131323835643734363465373939653831633538633066373730376137"><img src="https://camo.githubusercontent.com/b5c04d7affeca84aebcff3bf829edff2d142d26d700fd208c24b983144df766d/68747470733a2f2f61692d73747564696f2d7374617469632d6f6e6c696e652e63646e2e626365626f732e636f6d2f37366236613039333963326334636634393033396236353633633462323865323431653131323835643734363465373939653831633538633066373730376137" alt="" data-canonical-src="https://ai-studio-static-online.cdn.bcebos.com/76b6a0939c2c4cf49039b6563c4b28e241e11285d7464e799e81c58c0f7707a7" style="max-width: 100%;"></a></p>
<ul dir="auto">
<li>端侧部署</li>
</ul>
<p dir="auto">端侧部署我们采用基于 PaddleLite 的 cpp 推理。Paddle Lite是飞桨轻量化推理引擎，为手机、IOT端提供高效推理能力，并广泛整合跨平台硬件，为端侧部署及应用落地问题提供轻量化的部署方案。具体可参考 <a href="/PaddlePaddle/PaddleOCR/blob/dygraph/deploy/lite/readme_ch.md">PaddleOCR lite教程</a></p>
<h3 dir="auto"><a id="user-content-45-实验总结" class="anchor" aria-hidden="true" href="#45-实验总结"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>4.5 实验总结</h3>
<p dir="auto">我们分别使用PP-OCRv3中英文超轻量预训练模型在车牌数据集上进行了直接评估和 fine-tune 和 fine-tune +量化3种方案的实验，并基于<a href="/PaddlePaddle/PaddleOCR/blob/dygraph/deploy/lite/readme_ch.md">PaddleOCR lite教程</a>进行了速度测试，指标对比如下：</p>
<ul dir="auto">
<li>检测</li>
</ul>
<table>
<thead>
<tr>
<th>方案</th>
<th>hmeans</th>
<th>模型大小</th>
<th>预测速度(lite)</th>
</tr>
</thead>
<tbody>
<tr>
<td>PP-OCRv3中英文超轻量检测预训练模型直接预测</td>
<td>76.12%</td>
<td>2.5M</td>
<td>233ms</td>
</tr>
<tr>
<td>PP-OCRv3中英文超轻量检测预训练模型 fine-tune</td>
<td>99%</td>
<td>2.5M</td>
<td>233ms</td>
</tr>
<tr>
<td>PP-OCRv3中英文超轻量检测预训练模型 fine-tune + 量化</td>
<td>98.91%</td>
<td>1M</td>
<td>189ms</td>
</tr>
</tbody>
</table>
<ul dir="auto">
<li>识别</li>
</ul>
<table>
<thead>
<tr>
<th>方案</th>
<th>acc</th>
<th>模型大小</th>
<th>预测速度(lite)</th>
</tr>
</thead>
<tbody>
<tr>
<td>PP-OCRv3中英文超轻量识别预训练模型直接预测</td>
<td>0%</td>
<td>10.3M</td>
<td>4.2ms</td>
</tr>
<tr>
<td>PP-OCRv3中英文超轻量识别预训练模型直接预测+后处理去掉多识别的<code>·</code></td>
<td>90.97%</td>
<td>10.3M</td>
<td>4.2ms</td>
</tr>
<tr>
<td>PP-OCRv3中英文超轻量识别预训练模型 fine-tune</td>
<td>94.54%</td>
<td>10.3M</td>
<td>4,2ms</td>
</tr>
<tr>
<td>PP-OCRv3中英文超轻量识别预训练模型 fine-tune + 量化</td>
<td>93.4%</td>
<td>4.8M</td>
<td>1.8ms</td>
</tr>
</tbody>
</table>
<ul dir="auto">
<li>端到端指标如下：</li>
</ul>
<table>
<thead>
<tr>
<th>方案</th>
<th>fmeasure</th>
<th>模型大小</th>
<th>预测速度(lite)</th>
</tr>
</thead>
<tbody>
<tr>
<td>PP-OCRv3中英文超轻量检测预训练模型 <br> PP-OCRv3中英文超轻量识别预训练模型</td>
<td>0.08%</td>
<td>12.8M</td>
<td>298ms</td>
</tr>
<tr>
<td>PP-OCRv3中英文超轻量检测预训练模型 <br> PP-OCRv3中英文超轻量识别预训练模型 + 后处理去掉多识别的<code>·</code></td>
<td>91.66%</td>
<td>12.8M</td>
<td>298ms</td>
</tr>
<tr>
<td>PP-OCRv3中英文超轻量检测预训练模型+fine-tune <br> PP-OCRv3中英文超轻量识别预训练模型+fine-tune</td>
<td>92.5%</td>
<td>12.8M</td>
<td>298ms</td>
</tr>
<tr>
<td>PP-OCRv3中英文超轻量检测预训练模型+fine-tune+量化 <br> PP-OCRv3中英文超轻量识别预训练模型+fine-tune+量化</td>
<td>92.02%</td>
<td>5.8M</td>
<td>224ms</td>
</tr>
</tbody>
</table>
<p dir="auto"><strong>结论</strong></p>
<p dir="auto">PP-OCRv3的检测模型在未经过fine-tune的情况下，在车牌数据集上也有一定的精度，经过 fine-tune 后能够极大的提升检测效果，精度达到99%。在使用量化训练后检测模型的精度几乎无损，并且模型大小压缩60%。</p>
<p dir="auto">PP-OCRv3的识别模型在未经过fine-tune的情况下，在车牌数据集上精度为0，但是经过分析可以知道，模型大部分字符都预测正确，但是会多预测一个特殊字符，去掉这个特殊字符后，精度达到90%。PP-OCRv3识别模型在经过 fine-tune 后识别精度进一步提升，达到94.4%。在使用量化训练后识别模型大小压缩53%，但是由于数据量多少，带来了1%的精度损失。</p>
<p dir="auto">从端到端结果中可以看到对预训练模型不做修改，只根据场景下的具体情况进行后处理的修改就能大幅提升端到端指标到91.66%，在CCPD数据集上进行 fine-tune 后指标进一步提升到92.5%, 在经过量化训练之后，指标轻微下降到92.02%但模型大小降低54%。</p>
</article>
  </div>

    </div>

  </readme-toc>


  <details class="details-reset details-overlay details-overlay-dark" id="jumpto-line-details-dialog">
    <summary data-hotkey="l" aria-label="Jump to line"></summary>
    <details-dialog class="Box Box--overlay d-flex flex-column anim-fade-in fast linejump" aria-label="Jump to line">
      <!-- '"` --><!-- </textarea></xmp> --></option></form><form class="js-jump-to-line-form Box-body d-flex" data-turbo="false" action="" accept-charset="UTF-8" method="get">
        <input class="form-control flex-auto mr-3 linejump-input js-jump-to-line-field" type="text" placeholder="Jump to line&hellip;" aria-label="Jump to line" autofocus>
        <button data-close-dialog="" type="submit" data-view-component="true" class="btn">  Go

</button>
</form>    </details-dialog>
  </details>

    <div class="Popover anim-scale-in js-tagsearch-popover"
     hidden
     data-tagsearch-url="/PaddlePaddle/PaddleOCR/find-definition"
     data-tagsearch-ref="dygraph"
     data-tagsearch-code-nav-context="BLOB_VIEW">
  <div class="Popover-message Popover-message--large Popover-message--top-left TagsearchPopover mt-1 mb-4 mx-auto Box color-shadow-large">
    <div class="TagsearchPopover-content js-tagsearch-popover-content overflow-auto" style="will-change:transform;">
    </div>

  </div>
</div>


</div>

  </div>


</div>


    </main>
  </div>

  </div>

          <footer class="footer width-full container-xl p-responsive" role="contentinfo">


  <div class="position-relative d-flex flex-items-center pb-2 f6 color-fg-muted border-top color-border-muted flex-column-reverse flex-lg-row flex-wrap flex-lg-nowrap mt-6 pt-6">
    <ul class="list-style-none d-flex flex-wrap col-0 col-lg-2 flex-justify-start flex-lg-justify-between mb-2 mb-lg-0">
      <li class="mt-2 mt-lg-0 d-flex flex-items-center">
        <a aria-label="Homepage" title="GitHub" class="footer-octicon mr-2" href="https://github.com">
          <svg aria-hidden="true" height="24" viewBox="0 0 16 16" version="1.1" width="24" data-view-component="true" class="octicon octicon-mark-github">
    <path fill-rule="evenodd" d="M8 0C3.58 0 0 3.58 0 8c0 3.54 2.29 6.53 5.47 7.59.4.07.55-.17.55-.38 0-.19-.01-.82-.01-1.49-2.01.37-2.53-.49-2.69-.94-.09-.23-.48-.94-.82-1.13-.28-.15-.68-.52-.01-.53.63-.01 1.08.58 1.23.82.72 1.21 1.87.87 2.33.66.07-.52.28-.87.51-1.07-1.78-.2-3.64-.89-3.64-3.95 0-.87.31-1.59.82-2.15-.08-.2-.36-1.02.08-2.12 0 0 .67-.21 2.2.82.64-.18 1.32-.27 2-.27.68 0 1.36.09 2 .27 1.53-1.04 2.2-.82 2.2-.82.44 1.1.16 1.92.08 2.12.51.56.82 1.27.82 2.15 0 3.07-1.87 3.75-3.65 3.95.29.25.54.73.54 1.48 0 1.07-.01 1.93-.01 2.2 0 .21.15.46.55.38A8.013 8.013 0 0016 8c0-4.42-3.58-8-8-8z"></path>
</svg>
</a>        <span>
        &copy; 2022 GitHub, Inc.
        </span>
      </li>
    </ul>
    <ul class="list-style-none d-flex flex-wrap col-12 col-lg-8 flex-justify-center flex-lg-justify-between mb-2 mb-lg-0">
        <li class="mr-3 mr-lg-0"><a href="https://docs.github.com/en/github/site-policy/github-terms-of-service" data-analytics-event="{&quot;category&quot;:&quot;Footer&quot;,&quot;action&quot;:&quot;go to terms&quot;,&quot;label&quot;:&quot;text:terms&quot;}">Terms</a></li>
        <li class="mr-3 mr-lg-0"><a href="https://docs.github.com/en/github/site-policy/github-privacy-statement" data-analytics-event="{&quot;category&quot;:&quot;Footer&quot;,&quot;action&quot;:&quot;go to privacy&quot;,&quot;label&quot;:&quot;text:privacy&quot;}">Privacy</a></li>
        <li class="mr-3 mr-lg-0"><a data-analytics-event="{&quot;category&quot;:&quot;Footer&quot;,&quot;action&quot;:&quot;go to security&quot;,&quot;label&quot;:&quot;text:security&quot;}" href="https://github.com/security">Security</a></li>
        <li class="mr-3 mr-lg-0"><a href="https://www.githubstatus.com/" data-analytics-event="{&quot;category&quot;:&quot;Footer&quot;,&quot;action&quot;:&quot;go to status&quot;,&quot;label&quot;:&quot;text:status&quot;}">Status</a></li>
        <li class="mr-3 mr-lg-0"><a data-ga-click="Footer, go to help, text:Docs" href="https://docs.github.com">Docs</a></li>
        <li class="mr-3 mr-lg-0"><a href="https://support.github.com?tags=dotcom-footer" data-analytics-event="{&quot;category&quot;:&quot;Footer&quot;,&quot;action&quot;:&quot;go to contact&quot;,&quot;label&quot;:&quot;text:contact&quot;}">Contact GitHub</a></li>
        <li class="mr-3 mr-lg-0"><a href="https://github.com/pricing" data-analytics-event="{&quot;category&quot;:&quot;Footer&quot;,&quot;action&quot;:&quot;go to Pricing&quot;,&quot;label&quot;:&quot;text:Pricing&quot;}">Pricing</a></li>
      <li class="mr-3 mr-lg-0"><a href="https://docs.github.com" data-analytics-event="{&quot;category&quot;:&quot;Footer&quot;,&quot;action&quot;:&quot;go to api&quot;,&quot;label&quot;:&quot;text:api&quot;}">API</a></li>
      <li class="mr-3 mr-lg-0"><a href="https://services.github.com" data-analytics-event="{&quot;category&quot;:&quot;Footer&quot;,&quot;action&quot;:&quot;go to training&quot;,&quot;label&quot;:&quot;text:training&quot;}">Training</a></li>
        <li class="mr-3 mr-lg-0"><a href="https://github.blog" data-analytics-event="{&quot;category&quot;:&quot;Footer&quot;,&quot;action&quot;:&quot;go to blog&quot;,&quot;label&quot;:&quot;text:blog&quot;}">Blog</a></li>
        <li><a data-ga-click="Footer, go to about, text:about" href="https://github.com/about">About</a></li>
    </ul>
  </div>
  <div class="d-flex flex-justify-center pb-6">
    <span class="f6 color-fg-muted"></span>
  </div>
</footer>


  <div id="ajax-error-message" class="ajax-error-message flash flash-error" hidden>
    <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-alert">
    <path fill-rule="evenodd" d="M8.22 1.754a.25.25 0 00-.44 0L1.698 13.132a.25.25 0 00.22.368h12.164a.25.25 0 00.22-.368L8.22 1.754zm-1.763-.707c.659-1.234 2.427-1.234 3.086 0l6.082 11.378A1.75 1.75 0 0114.082 15H1.918a1.75 1.75 0 01-1.543-2.575L6.457 1.047zM9 11a1 1 0 11-2 0 1 1 0 012 0zm-.25-5.25a.75.75 0 00-1.5 0v2.5a.75.75 0 001.5 0v-2.5z"></path>
</svg>
    <button type="button" class="flash-close js-ajax-error-dismiss" aria-label="Dismiss error">
      <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-x">
    <path fill-rule="evenodd" d="M3.72 3.72a.75.75 0 011.06 0L8 6.94l3.22-3.22a.75.75 0 111.06 1.06L9.06 8l3.22 3.22a.75.75 0 11-1.06 1.06L8 9.06l-3.22 3.22a.75.75 0 01-1.06-1.06L6.94 8 3.72 4.78a.75.75 0 010-1.06z"></path>
</svg>
    </button>
    You can’t perform that action at this time.
  </div>

  <div class="js-stale-session-flash flash flash-warn flash-banner" hidden
    >
    <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-alert">
    <path fill-rule="evenodd" d="M8.22 1.754a.25.25 0 00-.44 0L1.698 13.132a.25.25 0 00.22.368h12.164a.25.25 0 00.22-.368L8.22 1.754zm-1.763-.707c.659-1.234 2.427-1.234 3.086 0l6.082 11.378A1.75 1.75 0 0114.082 15H1.918a1.75 1.75 0 01-1.543-2.575L6.457 1.047zM9 11a1 1 0 11-2 0 1 1 0 012 0zm-.25-5.25a.75.75 0 00-1.5 0v2.5a.75.75 0 001.5 0v-2.5z"></path>
</svg>
    <span class="js-stale-session-flash-signed-in" hidden>You signed in with another tab or window. <a href="">Reload</a> to refresh your session.</span>
    <span class="js-stale-session-flash-signed-out" hidden>You signed out in another tab or window. <a href="">Reload</a> to refresh your session.</span>
  </div>
    <template id="site-details-dialog">
  <details class="details-reset details-overlay details-overlay-dark lh-default color-fg-default hx_rsm" open>
    <summary role="button" aria-label="Close dialog"></summary>
    <details-dialog class="Box Box--overlay d-flex flex-column anim-fade-in fast hx_rsm-dialog hx_rsm-modal">
      <button class="Box-btn-octicon m-0 btn-octicon position-absolute right-0 top-0" type="button" aria-label="Close dialog" data-close-dialog>
        <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-x">
    <path fill-rule="evenodd" d="M3.72 3.72a.75.75 0 011.06 0L8 6.94l3.22-3.22a.75.75 0 111.06 1.06L9.06 8l3.22 3.22a.75.75 0 11-1.06 1.06L8 9.06l-3.22 3.22a.75.75 0 01-1.06-1.06L6.94 8 3.72 4.78a.75.75 0 010-1.06z"></path>
</svg>
      </button>
      <div class="octocat-spinner my-6 js-details-dialog-spinner"></div>
    </details-dialog>
  </details>
</template>

    <div class="Popover js-hovercard-content position-absolute" style="display: none; outline: none;" tabindex="0">
  <div class="Popover-message Popover-message--bottom-left Popover-message--large Box color-shadow-large" style="width:360px;">
  </div>
</div>

    <template id="snippet-clipboard-copy-button">
  <div class="zeroclipboard-container position-absolute right-0 top-0">
    <clipboard-copy aria-label="Copy" class="ClipboardButton btn js-clipboard-copy m-2 p-0 tooltipped-no-delay" data-copy-feedback="Copied!" data-tooltip-direction="w">
      <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-copy js-clipboard-copy-icon m-2">
    <path fill-rule="evenodd" d="M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 010 1.5h-1.5a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-1.5a.75.75 0 011.5 0v1.5A1.75 1.75 0 019.25 16h-7.5A1.75 1.75 0 010 14.25v-7.5z"></path><path fill-rule="evenodd" d="M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0114.25 11h-7.5A1.75 1.75 0 015 9.25v-7.5zm1.75-.25a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-7.5a.25.25 0 00-.25-.25h-7.5z"></path>
</svg>
      <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-check js-clipboard-check-icon color-fg-success d-none m-2">
    <path fill-rule="evenodd" d="M13.78 4.22a.75.75 0 010 1.06l-7.25 7.25a.75.75 0 01-1.06 0L2.22 9.28a.75.75 0 011.06-1.06L6 10.94l6.72-6.72a.75.75 0 011.06 0z"></path>
</svg>
    </clipboard-copy>
  </div>
</template>


  </body>
</html>