From 79eb8e23e50f1674fc684f216aac7b68d4658d34 Mon Sep 17 00:00:00 2001 From: MissPenguin Date: Thu, 14 Oct 2021 10:07:40 +0000 Subject: [PATCH] update doc --- tests/docs/compare_right.png | Bin 0 -> 33815 bytes tests/docs/compare_wrong.png | Bin 0 -> 65691 bytes tests/docs/test_python.md | 77 ++++++++++++++++++++--------------- 3 files changed, 45 insertions(+), 32 deletions(-) create mode 100644 tests/docs/compare_right.png create mode 100644 tests/docs/compare_wrong.png diff --git a/tests/docs/compare_right.png b/tests/docs/compare_right.png new file mode 100644 index 0000000000000000000000000000000000000000..3d74ef1cd5c5506b759886b5cfa541acac50f493 GIT binary patch literal 33815 zcmagFXIRqz|Nh<3T%}EIsMM#_EESt>$jq!vEk|e$>SJbV?md9i(#n!@VL7N=IdSGd z!I7F;;@%2QoQNpM=1<@6@w<-y^}B9dcRb#AH~=}H<8_{o*PDChCi^6hOYYdQW8dvt zH!OGT5DgYSn~Coc{#`>tcJJ76a>wl(hSniFR~uN>3az2*8HgK)#CPtA{(17u>!W9O z%ZgukxaZ}yqna^COT~|x?v2zW9KDpL`ocKX>84SsZ|Xka$Qx(Oi1+HqZ7;uJ9=#+v z96gw2ppmERJN1&Tz0%oDPikun#U}dPd 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单机多卡 | 多机多卡 | 模型压缩(单机多卡) | | :---- | :---- | :---- | :---- | :---- | :---- | -| DB | ch_ppocr_mobile_v2.0_det| 正常训练
混合精度 | 正常训练
混合精度 | 正常训练
混合精度 | 裁剪、在线/离线量化、蒸馏 | -| DB | ch_ppocr_server_v2.0_det| 正常训练
混合精度 | 正常训练
混合精度 | 正常训练
混合精度 | 裁剪、在线/离线量化、蒸馏 | -| CRNN | ch_ppocr_mobile_v2.0_rec| 正常训练
混合精度 | 正常训练
混合精度 | 正常训练
混合精度 | 裁剪、在线/离线量化、蒸馏 | -| CRNN | ch_ppocr_server_v2.0_rec| 正常训练
混合精度 | 正常训练
混合精度 | 正常训练
混合精度 | 裁剪、在线/离线量化、蒸馏 | -|PP-OCR| ch_ppocr_server_v2.0_det| 正常训练
混合精度 | 正常训练
混合精度 | 正常训练
混合精度 | 裁剪、在线/离线量化、蒸馏 | -|PP-OCR| ch_ppocr_server_v2.0_det| 正常训练
混合精度 | 正常训练
混合精度 | 正常训练
混合精度 | 裁剪、在线/离线量化、蒸馏 | - -| 算法名称 | 模型名称 | 单机单卡 | 单机多卡 | 多机多卡 | -| :---- | :---- | :---- | :---- | :---- | -| DB | ch_ppocr_mobile_v2.0_det| 正常训练
混合精度 | 正常训练
混合精度 | -| DB | ch_ppocr_server_v2.0_det| 正常训练
混合精度 | 正常训练
混合精度 | -| DB | ch_ppocr_mobile_v2.0_det_pact| 正常训练
混合精度 | 正常训练
混合精度 | -| DB | ch_ppocr_mobile_v2.0_det_fpgm| 正常训练
混合精度 | 正常训练
混合精度 | -| CRNN | ch_ppocr_mobile_v2.0_rec| 正常训练
混合精度 | 正常训练
混合精度 | -| CRNN | ch_ppocr_server_v2.0_rec| 正常训练
混合精度 | 正常训练
混合精度 | -| CRNN | ch_ppocr_mobile_v2.0_rec_pact| 正常训练
混合精度 | 正常训练
混合精度 | -| CRNN | ch_ppocr_mobile_v2.0_rec_fpgm| 正常训练
混合精度 | 正常训练
混合精度 | -|PP-OCR| ch_ppocr_server_v2.0_det| 正常训练
混合精度 | 正常训练
混合精度 | -|PP-OCR| ch_ppocr_server_v2.0_det| 正常训练
混合精度 | 正常训练
混合精度 | - - -预测相关: - -| 模型名称 | 算法名称 | 模型类型 |device | batchsize=1/6 | mkldnn | tensorrt | cpu多线程 | +| DB | ch_ppocr_mobile_v2.0_det| 正常训练
混合精度 | 正常训练
混合精度 | 正常训练
混合精度 | 正常训练:FPGM裁剪、PACT量化 | +| DB | ch_ppocr_server_v2.0_det| 正常训练
混合精度 | 正常训练
混合精度 | 正常训练
混合精度 | 正常训练:FPGM裁剪、PACT量化 | +| CRNN | ch_ppocr_mobile_v2.0_rec| 正常训练
混合精度 | 正常训练
混合精度 | 正常训练
混合精度 | 正常训练:FPGM裁剪、PACT量化 | +| CRNN | ch_ppocr_server_v2.0_rec| 正常训练
混合精度 | 正常训练
混合精度 | 正常训练
混合精度 | 正常训练:FPGM裁剪、PACT量化 | +|PP-OCR| ch_ppocr_mobile_v2.0| 正常训练
混合精度 | 正常训练
混合精度 | 正常训练
混合精度 | 正常训练:FPGM裁剪、PACT量化 | +|PP-OCR| ch_ppocr_server_v2.0| 正常训练
混合精度 | 正常训练
混合精度 | 正常训练
混合精度 | 正常训练:FPGM裁剪、PACT量化 | + + +- 预测相关: + +| 算法名称 | 模型名称 |device | batchsize=1/6 | mkldnn | cpu多线程 | tensorrt | 离线量化 | | ---- | ---- | ---- | ---- | ---- | ---- | ----| --- | -|ch_ppocr_mobile_v2.0_det| DB | 检测 | CPU/GPU | 支持 | 支持 | fp32/fp16/int8 | 支持 | -|ch_ppocr_mobile_v2.0_rec| CRNN | 识别 | CPU/GPU | 支持 | 支持 | fp32/fp16/int8 | 支持 | -|ch_ppocr_server_v2.0_det| DB | 检测 | CPU/GPU | 支持 | 支持 | fp32/fp16/int8 | 支持 | -|ch_ppocr_server_v2.0_rec| CRNN | 识别 | CPU/GPU | 支持 | 支持 | fp32/fp16/int8 | 支持 | +| DB |ch_ppocr_mobile_v2.0_det| CPU/GPU | 支持 | 支持 | 支持 | fp32/fp16/int8 | 支持 | +| DB |ch_ppocr_server_v2.0_det| CPU/GPU | 支持 | 支持 | 支持 | fp32/fp16/int8 | 支持 +| CRNN |ch_ppocr_mobile_v2.0_rec| CPU/GPU | 支持 | 支持 | 支持 | fp32/fp16/int8 | 支持 | +| CRNN |ch_ppocr_server_v2.0_rec| CPU/GPU | 支持 | 支持 | 支持 | fp32/fp16/int8 | 支持 | +|PP-OCR|ch_ppocr_server_v2.0 | CPU/GPU | 支持 | 支持 | 支持 | fp32/fp16/int8 | 支持 | +|PP-OCR|ch_ppocr_server_v2.0 | CPU/GPU | 支持 | 支持 | 支持 | fp32/fp16/int8 | 支持 | @@ -91,4 +79,29 @@ bash tests/test.sh ./tests/configs/ppocr_det_mobile_params.txt 'whole_train_infe ``` -## 3. 精度测试 \ No newline at end of file +## 3. 精度测试 + +使用compare_results.py脚本比较模型预测的结果是否符合预期,主要步骤包括: +- 提取日志中的预测坐标; +- 从本地文件中提取保存好的坐标结果; +- 比较上述两个结果是否符合精度预期,误差大于设置阈值时会报错。 + +### 使用方式 +运行命令: +```shell +python3.7 tests/compare_results.py --gt_file=./tests/results/*.txt --log_file=./tests/output/infer_*.log --atol=1e-3 --rtol=1e-3 +``` + +参数介绍: +- gt_file: 指向事先保存好的预测结果路径,支持*.txt 结尾,会自动索引*.txt格式的文件,文件默认保存在tests/result/ 文件夹下 +- log_file: 指向运行tests/test.sh 脚本的infer模式保存的预测日志,预测日志中打印的有预测结果,比如:文本框,预测文本,类别等等,同样支持infer_*.log格式传入 +- atol: 设置的绝对误差 +- rtol: 设置的相对误差 + +### 运行结果 + +正常运行效果如下图: + + +出现不一致结果时的运行输出: + -- GitLab