From 46d639a1b5fd59e480c85dd0a314f7393e717dd6 Mon Sep 17 00:00:00 2001 From: tink2123 Date: Mon, 10 Oct 2022 12:08:10 +0800 Subject: [PATCH] updata paddle2onnx en doc --- deploy/paddle2onnx/readme.md | 142 ++++++++++++----------------------- 1 file changed, 48 insertions(+), 94 deletions(-) diff --git a/deploy/paddle2onnx/readme.md b/deploy/paddle2onnx/readme.md index d195bb0c..e90461d4 100644 --- a/deploy/paddle2onnx/readme.md +++ b/deploy/paddle2onnx/readme.md @@ -43,11 +43,11 @@ Refer to [Model Export Instructions](../../doc/doc_en/inference_en.md#1-convert- Take the PP-OCRv3 detection, recognition, and classification model as an example: ``` -wget -nc -P ./inference https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_infer.tar -cd ./inference && tar xf ch_PP-OCRv3_det_infer.tar && cd .. +wget -nc -P ./inference https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_det_infer.tar +cd ./inference && tar xf en_PP-OCRv3_det_infer.tar && cd .. -wget -nc -P ./inference https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_infer.tar -cd ./inference && tar xf ch_PP-OCRv3_rec_infer.tar && cd .. +wget -nc -P ./inference https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_rec_infer.tar +cd ./inference && tar xf en_PP-OCRv3_rec_infer.tar && cd .. wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar cd ./inference && tar xf ch_ppocr_mobile_v2.0_cls_infer.tar && cd .. @@ -58,7 +58,7 @@ cd ./inference && tar xf ch_ppocr_mobile_v2.0_cls_infer.tar && cd .. Convert Paddle inference model to ONNX model format using Paddle2ONNX: ``` -paddle2onnx --model_dir ./inference/ch_PP-OCRv3_det_infer \ +paddle2onnx --model_dir ./inference/en_PP-OCRv3_det_infer \ --model_filename inference.pdmodel \ --params_filename inference.pdiparams \ --save_file ./inference/det_onnx/model.onnx \ @@ -66,7 +66,7 @@ paddle2onnx --model_dir ./inference/ch_PP-OCRv3_det_infer \ --input_shape_dict="{'x':[-1,3,-1,-1]}" \ --enable_onnx_checker True -paddle2onnx --model_dir ./inference/ch_PP-OCRv3_rec_infer \ +paddle2onnx --model_dir ./inference/en_PP-OCRv3_rec_infer \ --model_filename inference.pdmodel \ --params_filename inference.pdiparams \ --save_file ./inference/rec_onnx/model.onnx \ @@ -90,24 +90,26 @@ After execution, the ONNX model will be saved in `./inference/det_onnx/`, `./inf ## 3. prediction -Take the Chinese OCR model as an example, use **ONNXRuntime** to predict and execute the following commands: +Take the English OCR model as an example, use **ONNXRuntime** to predict and execute the following commands: ``` python3.7 tools/infer/predict_system.py --use_gpu=False --use_onnx=True \ --det_model_dir=./inference/det_onnx/model.onnx \ --rec_model_dir=./inference/rec_onnx/model.onnx \ --cls_model_dir=./inference/cls_onnx/model.onnx \ ---image_dir=./deploy/lite/imgs/lite_demo.png +--image_dir=doc/imgs_en/img_12.jpg \ +--rec_char_dict_path=ppocr/utils/en_dict.txt ``` -Taking the Chinese OCR model as an example, use **Paddle Inference** to predict and execute the following commands: +Taking the English OCR model as an example, use **Paddle Inference** to predict and execute the following commands: ``` python3.7 tools/infer/predict_system.py --use_gpu=False \ --cls_model_dir=./inference/ch_ppocr_mobile_v2.0_cls_infer \ ---rec_model_dir=./inference/ch_PP-OCRv3_rec_infer \ ---det_model_dir=./inference/ch_PP-OCRv3_det_infer \ ---image_dir=./deploy/lite/imgs/lite_demo.png +--rec_model_dir=./inference/en_PP-OCRv3_rec_infer \ +--det_model_dir=./inference/en_PP-OCRv3_det_infer \ +--image_dir=doc/imgs_en/img_12.jpg \ +--rec_char_dict_path=ppocr/utils/en_dict.txt ``` @@ -116,101 +118,53 @@ After executing the command, the predicted identification information will be pr ONNXRuntime result：
- +
Paddle Inference result：
- +
Using ONNXRuntime to predict, terminal output: ``` -[2022/02/22 17:48:27] root DEBUG: dt_boxes num : 38, elapse : 0.043187856674194336 -[2022/02/22 17:48:27] root DEBUG: rec_res num : 38, elapse : 0.592170000076294 -[2022/02/22 17:48:27] root DEBUG: 0 Predict time of ./deploy/lite/imgs/lite_demo.png: 0.642s -[2022/02/22 17:48:27] root DEBUG: The, 0.984 -[2022/02/22 17:48:27] root DEBUG: visualized, 0.882 -[2022/02/22 17:48:27] root DEBUG: etect18片, 0.720 -[2022/02/22 17:48:27] root DEBUG: image saved in./vis.jpg, 0.947 -[2022/02/22 17:48:27] root DEBUG: 纯臻营养护发素0.993604, 0.996 -[2022/02/22 17:48:27] root DEBUG: 产品信息/参数, 0.922 -[2022/02/22 17:48:27] root DEBUG: 0.992728, 0.914 -[2022/02/22 17:48:27] root DEBUG: （45元／每公斤，100公斤起订）, 0.926 -[2022/02/22 17:48:27] root DEBUG: 0.97417, 0.977 -[2022/02/22 17:48:27] root DEBUG: 每瓶22元，1000瓶起订）0.993976, 0.962 -[2022/02/22 17:48:27] root DEBUG: 【品牌】：代加工方式/0EMODM, 0.945 -[2022/02/22 17:48:27] root DEBUG: 0.985133, 0.980 -[2022/02/22 17:48:27] root DEBUG: 【品名】：纯臻营养护发素, 0.921 -[2022/02/22 17:48:27] root DEBUG: 0.995007, 0.883 -[2022/02/22 17:48:27] root DEBUG: 【产品编号】：YM-X-30110.96899, 0.955 -[2022/02/22 17:48:27] root DEBUG: 【净含量】：220ml, 0.943 -[2022/02/22 17:48:27] root DEBUG: Q.996577, 0.932 -[2022/02/22 17:48:27] root DEBUG: 【适用人群】：适合所有肤质, 0.913 -[2022/02/22 17:48:27] root DEBUG: 0.995842, 0.969 -[2022/02/22 17:48:27] root DEBUG: 【主要成分】：鲸蜡硬脂醇、燕麦B-葡聚, 0.883 -[2022/02/22 17:48:27] root DEBUG: 0.961928, 0.964 -[2022/02/22 17:48:27] root DEBUG: 10, 0.812 -[2022/02/22 17:48:27] root DEBUG: 糖、椰油酰胺丙基甜菜碱、泛醒, 0.866 -[2022/02/22 17:48:27] root DEBUG: 0.925898, 0.943 -[2022/02/22 17:48:27] root DEBUG: （成品包材）, 0.974 -[2022/02/22 17:48:27] root DEBUG: 0.972573, 0.961 -[2022/02/22 17:48:27] root DEBUG: 【主要功能】：可紧致头发磷层，从而达到, 0.936 -[2022/02/22 17:48:27] root DEBUG: 0.994448, 0.952 -[2022/02/22 17:48:27] root DEBUG: 13, 0.998 -[2022/02/22 17:48:27] root DEBUG: 即时持久改善头发光泽的效果，给干燥的头, 0.994 -[2022/02/22 17:48:27] root DEBUG: 0.990198, 0.975 -[2022/02/22 17:48:27] root DEBUG: 14, 0.977 -[2022/02/22 17:48:27] root DEBUG: 发足够的滋养, 0.991 -[2022/02/22 17:48:27] root DEBUG: 0.997668, 0.918 -[2022/02/22 17:48:27] root DEBUG: 花费了0.457335秒, 0.901 -[2022/02/22 17:48:27] root DEBUG: The visualized image saved in ./inference_results/lite_demo.png -[2022/02/22 17:48:27] root INFO: The predict total time is 0.7003889083862305 +[2022/10/10 12:06:28] ppocr DEBUG: dt_boxes num : 11, elapse : 0.3568880558013916 +[2022/10/10 12:06:31] ppocr DEBUG: rec_res num : 11, elapse : 2.6445000171661377 +[2022/10/10 12:06:31] ppocr DEBUG: 0 Predict time of doc/imgs_en/img_12.jpg: 3.021s +[2022/10/10 12:06:31] ppocr DEBUG: ACKNOWLEDGEMENTS, 0.997 +[2022/10/10 12:06:31] ppocr DEBUG: We would like to thank all the designers and, 0.976 +[2022/10/10 12:06:31] ppocr DEBUG: contributors who have been involved in the, 0.979 +[2022/10/10 12:06:31] ppocr DEBUG: production of this book; their contributions, 0.989 +[2022/10/10 12:06:31] ppocr DEBUG: have been indispensable to its creation. We, 0.956 +[2022/10/10 12:06:31] ppocr DEBUG: would also like to express our gratitude to all, 0.991 +[2022/10/10 12:06:31] ppocr DEBUG: the producers for their invaluable opinions, 0.978 +[2022/10/10 12:06:31] ppocr DEBUG: and assistance throughout this project. And to, 0.988 +[2022/10/10 12:06:31] ppocr DEBUG: the many others whose names are not credited, 0.958 +[2022/10/10 12:06:31] ppocr DEBUG: but have made specific input in this book, we, 0.970 +[2022/10/10 12:06:31] ppocr DEBUG: thank you for your continuous support., 0.998 +[2022/10/10 12:06:31] ppocr DEBUG: The visualized image saved in ./inference_results/img_12.jpg +[2022/10/10 12:06:31] ppocr INFO: The predict total time is 3.2482550144195557 ``` Using Paddle Inference to predict, terminal output: ``` -[2022/02/22 17:47:25] root DEBUG: dt_boxes num : 38, elapse : 0.11791276931762695 -[2022/02/22 17:47:27] root DEBUG: rec_res num : 38, elapse : 2.6206860542297363 -[2022/02/22 17:47:27] root DEBUG: 0 Predict time of ./deploy/lite/imgs/lite_demo.png: 2.746s -[2022/02/22 17:47:27] root DEBUG: The, 0.984 -[2022/02/22 17:47:27] root DEBUG: visualized, 0.882 -[2022/02/22 17:47:27] root DEBUG: etect18片, 0.720 -[2022/02/22 17:47:27] root DEBUG: image saved in./vis.jpg, 0.947 -[2022/02/22 17:47:27] root DEBUG: 纯臻营养护发素0.993604, 0.996 -[2022/02/22 17:47:27] root DEBUG: 产品信息/参数, 0.922 -[2022/02/22 17:47:27] root DEBUG: 0.992728, 0.914 -[2022/02/22 17:47:27] root DEBUG: （45元／每公斤，100公斤起订）, 0.926 -[2022/02/22 17:47:27] root DEBUG: 0.97417, 0.977 -[2022/02/22 17:47:27] root DEBUG: 每瓶22元，1000瓶起订）0.993976, 0.962 -[2022/02/22 17:47:27] root DEBUG: 【品牌】：代加工方式/0EMODM, 0.945 -[2022/02/22 17:47:27] root DEBUG: 0.985133, 0.980 -[2022/02/22 17:47:27] root DEBUG: 【品名】：纯臻营养护发素, 0.921 -[2022/02/22 17:47:27] root DEBUG: 0.995007, 0.883 -[2022/02/22 17:47:27] root DEBUG: 【产品编号】：YM-X-30110.96899, 0.955 -[2022/02/22 17:47:27] root DEBUG: 【净含量】：220ml, 0.943 -[2022/02/22 17:47:27] root DEBUG: Q.996577, 0.932 -[2022/02/22 17:47:27] root DEBUG: 【适用人群】：适合所有肤质, 0.913 -[2022/02/22 17:47:27] root DEBUG: 0.995842, 0.969 -[2022/02/22 17:47:27] root DEBUG: 【主要成分】：鲸蜡硬脂醇、燕麦B-葡聚, 0.883 -[2022/02/22 17:47:27] root DEBUG: 0.961928, 0.964 -[2022/02/22 17:47:27] root DEBUG: 10, 0.812 -[2022/02/22 17:47:27] root DEBUG: 糖、椰油酰胺丙基甜菜碱、泛醒, 0.866 -[2022/02/22 17:47:27] root DEBUG: 0.925898, 0.943 -[2022/02/22 17:47:27] root DEBUG: （成品包材）, 0.974 -[2022/02/22 17:47:27] root DEBUG: 0.972573, 0.961 -[2022/02/22 17:47:27] root DEBUG: 【主要功能】：可紧致头发磷层，从而达到, 0.936 -[2022/02/22 17:47:27] root DEBUG: 0.994448, 0.952 -[2022/02/22 17:47:27] root DEBUG: 13, 0.998 -[2022/02/22 17:47:27] root DEBUG: 即时持久改善头发光泽的效果，给干燥的头, 0.994 -[2022/02/22 17:47:27] root DEBUG: 0.990198, 0.975 -[2022/02/22 17:47:27] root DEBUG: 14, 0.977 -[2022/02/22 17:47:27] root DEBUG: 发足够的滋养, 0.991 -[2022/02/22 17:47:27] root DEBUG: 0.997668, 0.918 -[2022/02/22 17:47:27] root DEBUG: 花费了0.457335秒, 0.901 -[2022/02/22 17:47:27] root DEBUG: The visualized image saved in ./inference_results/lite_demo.png -[2022/02/22 17:47:27] root INFO: The predict total time is 2.8338775634765625 +[2022/10/10 12:06:28] ppocr DEBUG: dt_boxes num : 11, elapse : 0.3568880558013916 +[2022/10/10 12:06:31] ppocr DEBUG: rec_res num : 11, elapse : 2.6445000171661377 +[2022/10/10 12:06:31] ppocr DEBUG: 0 Predict time of doc/imgs_en/img_12.jpg: 3.021s +[2022/10/10 12:06:31] ppocr DEBUG: ACKNOWLEDGEMENTS, 0.997 +[2022/10/10 12:06:31] ppocr DEBUG: We would like to thank all the designers and, 0.976 +[2022/10/10 12:06:31] ppocr DEBUG: contributors who have been involved in the, 0.979 +[2022/10/10 12:06:31] ppocr DEBUG: production of this book; their contributions, 0.989 +[2022/10/10 12:06:31] ppocr DEBUG: have been indispensable to its creation. We, 0.956 +[2022/10/10 12:06:31] ppocr DEBUG: would also like to express our gratitude to all, 0.991 +[2022/10/10 12:06:31] ppocr DEBUG: the producers for their invaluable opinions, 0.978 +[2022/10/10 12:06:31] ppocr DEBUG: and assistance throughout this project. And to, 0.988 +[2022/10/10 12:06:31] ppocr DEBUG: the many others whose names are not credited, 0.958 +[2022/10/10 12:06:31] ppocr DEBUG: but have made specific input in this book, we, 0.970 +[2022/10/10 12:06:31] ppocr DEBUG: thank you for your continuous support., 0.998 +[2022/10/10 12:06:31] ppocr DEBUG: The visualized image saved in ./inference_results/img_12.jpg +[2022/10/10 12:06:31] ppocr INFO: The predict total time is 3.2482550144195557 ``` -- GitLab