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混合精度 | 正常训练
混合精度 | 正常训练:PACT量化
离线量化(无需训练) | |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 | - | |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 | - | +|PP-OCRv2| ch_PP-OCRv2 | 正常训练
混合精度 | 正常训练
混合精度 | 正常训练
混合精度 | - | - 预测相关:基于训练是否使用量化,可以将训练产出的模型可以分为`正常模型`和`量化模型`,这两类模型对应的预测功能汇总如下, diff --git a/PTDN/readme.md b/PTDN/readme.md index 211d0a7e..28fda6a1 100644 --- a/PTDN/readme.md +++ b/PTDN/readme.md @@ -26,7 +26,8 @@ | CRNN |ch_ppocr_mobile_v2.0_rec | 识别 | 支持 | Paddle Inference: C++
Paddle Serving: Python, C++
Paddle-Lite:
(1) ARM CPU(C++) | | CRNN |ch_ppocr_server_v2.0_rec | 识别 | 支持 | Paddle Inference: C++
Paddle Serving: Python, C++
Paddle-Lite:
(1) ARM CPU(C++) | | CRNN |ch_PP-OCRv2_rec | 识别 | -| PP-OCR |ch_PP-OCR | 检测+识别 | 支持 | Paddle Inference: C++
Paddle Serving: Python, C++
Paddle-Lite:
(1) ARM CPU(C++) | +| PP-OCR |ch_ppocr_mobile_v2.0 | 检测+识别 | 支持 | Paddle Inference: C++
Paddle Serving: Python, C++
Paddle-Lite:
(1) ARM CPU(C++) | +| PP-OCR |ch_ppocr_server_v2.0 | 检测+识别 | 支持 | Paddle Inference: C++
Paddle Serving: Python, C++
Paddle-Lite:
(1) ARM CPU(C++) | |PP-OCRv2|ch_PP-OCRv2 | 检测+识别 | 支持 | Paddle Inference: C++
Paddle Serving: Python, C++
Paddle-Lite:
(1) ARM CPU(C++) | | DB |det_mv3_db_v2.0 | 检测 | | DB |det_r50_vd_db_v2.0 | 检测 | @@ -97,7 +98,7 @@ tests/ - `test_serving.sh`:测试基于Paddle Serving的服务化部署功能。 - `test_lite.sh`:测试基于Paddle-Lite的端侧预测部署功能。 -各功能测试中涉及GPU/CPU、mkldnn、Tensorrt等多种参数配置,点击相应链接了解更多细节和使用教程: +各功能测试中涉及混合精度、裁剪、量化等训练相关,及mkldnn、Tensorrt等多种预测相关参数配置,请点击下方相应链接了解更多细节和使用教程: [test_train_inference_python 使用](docs/test_train_inference_python.md) [test_inference_cpp 使用](docs/test_inference_cpp.md) [test_serving 使用](docs/test_serving.md) -- GitLab