mirror of
https://github.com/PaddlePaddle/PaddleOCR.git
synced 2025-12-28 07:28:55 +00:00
ppocr_det_mobile to ch_ppocr_mobile_v2.0_det
This commit is contained in:
parent
3fdcfb2e03
commit
76b8527b2f
@ -0,0 +1,51 @@
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===========================train_params===========================
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model_name:PPOCRv2_ocr_det
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python:python3.7
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gpu_list:0|0,1
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Global.use_gpu:True|True
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Global.auto_cast:fp32
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Global.epoch_num:lite_train_infer=1|whole_train_infer=500
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Global.save_model_dir:./output/
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Train.loader.batch_size_per_card:lite_train_infer=2|whole_train_infer=4
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Global.pretrained_model:null
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train_model_name:latest
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train_infer_img_dir:./train_data/icdar2015/text_localization/ch4_test_images/
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null:null
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##
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trainer:pact_train
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norm_train:null
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pact_train:deploy/slim/quantization/quant.py -c configs/det/ch_PP-OCRv2/ch_PP-OCR_det_cml.yml -o
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fpgm_train:null
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distill_train:null
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null:null
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null:null
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##
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===========================eval_params===========================
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eval:null
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null:null
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##
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===========================infer_params===========================
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Global.save_inference_dir:./output/
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Global.pretrained_model:
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norm_export:null
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quant_export:deploy/slim/quantization/export_model.py -c configs/det/ch_PP-OCRv2/ch_PP-OCR_det_cml.yml -o
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fpgm_export:
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distill_export:null
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export1:null
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export2:null
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inference_dir:Student
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infer_model:./inference/ch_PP-OCRv2_det_infer/
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infer_export:null
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infer_quant:False
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inference:tools/infer/predict_det.py
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--use_gpu:True|False
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--enable_mkldnn:True|False
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--cpu_threads:1|6
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--rec_batch_num:1
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--use_tensorrt:False|True
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--precision:fp32|fp16|int8
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--det_model_dir:
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--image_dir:./inference/ch_det_data_50/all-sum-510/
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null:null
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--benchmark:True
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null:null
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@ -12,10 +12,10 @@ train_model_name:latest
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train_infer_img_dir:./train_data/icdar2015/text_localization/ch4_test_images/
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null:null
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##
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trainer:norm_train|pact_train|fpgm_train
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trainer:norm_train
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norm_train:tools/train.py -c test_tipc/configs/ppocr_det_mobile/det_mv3_db.yml -o Global.pretrained_model=./pretrain_models/MobileNetV3_large_x0_5_pretrained
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pact_train:deploy/slim/quantization/quant.py -c test_tipc/configs/ppocr_det_mobile/det_mv3_db.yml -o
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fpgm_train:deploy/slim/prune/sensitivity_anal.py -c test_tipc/configs/ppocr_det_mobile/det_mv3_db.yml -o Global.pretrained_model=./pretrain_models/det_mv3_db_v2.0_train/best_accuracy
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pact_train:null
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fpgm_train:null
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distill_train:null
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null:null
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null:null
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@ -28,8 +28,8 @@ null:null
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Global.save_inference_dir:./output/
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Global.pretrained_model:
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norm_export:tools/export_model.py -c test_tipc/configs/ppocr_det_mobile/det_mv3_db.yml -o
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quant_export:deploy/slim/quantization/export_model.py -c test_tipc/configs/ppocr_det_mobile/det_mv3_db.yml -o
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fpgm_export:deploy/slim/prune/export_prune_model.py -c test_tipc/configs/ppocr_det_mobile/det_mv3_db.yml -o
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quant_export:null
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fpgm_export:null
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distill_export:null
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export1:null
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export2:null
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@ -0,0 +1,51 @@
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===========================train_params===========================
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model_name:ocr_det
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python:python3.7
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gpu_list:0|0,1
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Global.use_gpu:True|True
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Global.auto_cast:null
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Global.epoch_num:lite_train_lite_infer=1|whole_train_whole_infer=300
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Global.save_model_dir:./output/
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Train.loader.batch_size_per_card:lite_train_lite_infer=2|whole_train_whole_infer=4
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Global.pretrained_model:null
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train_model_name:latest
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train_infer_img_dir:./train_data/icdar2015/text_localization/ch4_test_images/
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null:null
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##
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trainer:fpgm_train
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norm_train:null
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pact_train:null
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fpgm_train:deploy/slim/prune/sensitivity_anal.py -c test_tipc/configs/ppocr_det_mobile/det_mv3_db.yml -o Global.pretrained_model=./pretrain_models/det_mv3_db_v2.0_train/best_accuracy
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distill_train:null
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null:null
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null:null
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##
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===========================eval_params===========================
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eval:null
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null:null
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##
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===========================infer_params===========================
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Global.save_inference_dir:./output/
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Global.pretrained_model:
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norm_export:null
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quant_export:null
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fpgm_export:deploy/slim/prune/export_prune_model.py -c test_tipc/configs/ppocr_det_mobile/det_mv3_db.yml -o
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distill_export:null
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export1:null
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export2:null
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inference_dir:null
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train_model:null
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infer_export:null
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infer_quant:False
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inference:tools/infer/predict_det.py
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--use_gpu:True|False
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--enable_mkldnn:True|False
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--cpu_threads:1|6
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--rec_batch_num:1
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--use_tensorrt:False|True
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--precision:fp32|fp16|int8
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--det_model_dir:
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--image_dir:./inference/ch_det_data_50/all-sum-510/
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null:null
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--benchmark:True
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null:null
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@ -0,0 +1,51 @@
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===========================train_params===========================
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model_name:ocr_det
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python:python3.7
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gpu_list:0|0,1
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Global.use_gpu:True|True
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Global.auto_cast:null
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Global.epoch_num:lite_train_lite_infer=1|whole_train_whole_infer=300
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Global.save_model_dir:./output/
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Train.loader.batch_size_per_card:lite_train_lite_infer=2|whole_train_whole_infer=4
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Global.pretrained_model:null
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train_model_name:latest
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train_infer_img_dir:./train_data/icdar2015/text_localization/ch4_test_images/
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null:null
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##
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trainer:pact_train
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norm_train:null
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pact_train:deploy/slim/quantization/quant.py -c test_tipc/configs/ppocr_det_mobile/det_mv3_db.yml -o
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fpgm_train:null
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distill_train:null
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null:null
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null:null
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##
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===========================eval_params===========================
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eval:null
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null:null
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##
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===========================infer_params===========================
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Global.save_inference_dir:./output/
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Global.pretrained_model:
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norm_export:null
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quant_export:deploy/slim/quantization/export_model.py -c test_tipc/configs/ppocr_det_mobile/det_mv3_db.yml -o
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fpgm_export:null
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distill_export:null
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export1:null
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export2:null
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inference_dir:null
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train_model:null
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infer_export:null
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infer_quant:False
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inference:tools/infer/predict_det.py
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--use_gpu:True|False
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--enable_mkldnn:True|False
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--cpu_threads:1|6
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--rec_batch_num:1
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--use_tensorrt:False|True
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--precision:fp32|fp16|int8
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--det_model_dir:
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--image_dir:./inference/ch_det_data_50/all-sum-510/
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null:null
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--benchmark:True
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null:null
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@ -47,11 +47,11 @@ Jeston端基础训练预测功能测试的主程序为`test_train_inference_pyth
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```
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- 模式3:whole_infer,不训练,全量数据预测,走通开源模型评估、动转静,检查inference model预测时间和精度;
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```shell
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bash test_tipc/prepare.sh ./test_tipc/configs/ppocr_det_mobile/model_linux_gpu_normal_normal_infer_python_jetson.txt 'whole_infer'
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bash test_tipc/prepare.sh ./test_tipc/configs/ch_ppocr_mobile_v2.0_det/model_linux_gpu_normal_normal_infer_python_jetson.txt 'whole_infer'
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# 用法1:
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bash test_tipc/test_inference_jeston.sh ./test_tipc/configs/ppocr_det_mobile/model_linux_gpu_normal_normal_infer_python_jetson.txt 'whole_infer'
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bash test_tipc/test_inference_jeston.sh ./test_tipc/configs/ch_ppocr_mobile_v2.0_det/model_linux_gpu_normal_normal_infer_python_jetson.txt 'whole_infer'
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# 用法2: 指定GPU卡预测,第三个传入参数为GPU卡号
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bash test_tipc/test_inference_jeston.sh ./test_tipc/configs/ppocr_det_mobile/model_linux_gpu_normal_normal_infer_python_jetson.txt 'whole_infer' '1'
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bash test_tipc/test_inference_jeston.sh ./test_tipc/configs/ch_ppocr_mobile_v2.0_det/model_linux_gpu_normal_normal_infer_python_jetson.txt 'whole_infer' '1'
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```
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运行相应指令后,在`test_tipc/output`文件夹下自动会保存运行日志。如`lite_train_lite_infer`模式下,会运行训练+inference的链条,因此,在`test_tipc/output`文件夹有以下文件:
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@ -57,36 +57,36 @@ Mac端无GPU,环境准备只需要Python环境即可,安装PaddlePaddle等
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```shell
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# 同linux端运行不同的是,Mac端测试使用新的配置文件mac_ppocr_det_mobile_params.txt,
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# 配置文件中默认去掉了GPU和mkldnn相关的测试链条
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bash test_tipc/prepare.sh ./test_tipc/configs/ppocr_det_mobile/train_mac_cpu_normal_normal_infer_python_mac_cpu.txt 'lite_train_lite_infer'
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bash test_tipc/test_train_inference_python.sh ./test_tipc/configs/ppocr_det_mobile/train_mac_cpu_normal_normal_infer_python_mac_cpu.txt 'lite_train_lite_infer'
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bash test_tipc/prepare.sh ./test_tipc/configs/ch_ppocr_mobile_v2.0_det/train_mac_cpu_normal_normal_infer_python_mac_cpu.txt 'lite_train_lite_infer'
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bash test_tipc/test_train_inference_python.sh ./test_tipc/configs/ch_ppocr_mobile_v2.0_det/train_mac_cpu_normal_normal_infer_python_mac_cpu.txt 'lite_train_lite_infer'
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```
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- 模式2:lite_train_whole_infer,使用少量数据训练,一定量数据预测,用于验证训练后的模型执行预测,预测速度是否合理;
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```shell
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bash test_tipc/prepare.sh ./test_tipc/configs/ppocr_det_mobile/train_mac_cpu_normal_normal_infer_python_mac_cpu.txt 'lite_train_whole_infer'
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bash test_tipc/test_train_inference_python.sh ./test_tipc/configs/ppocr_det_mobile/train_mac_cpu_normal_normal_infer_python_mac_cpu.txt 'lite_train_whole_infer'
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bash test_tipc/prepare.sh ./test_tipc/configs/ch_ppocr_mobile_v2.0_det/train_mac_cpu_normal_normal_infer_python_mac_cpu.txt 'lite_train_whole_infer'
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bash test_tipc/test_train_inference_python.sh ./test_tipc/configs/ch_ppocr_mobile_v2.0_det/train_mac_cpu_normal_normal_infer_python_mac_cpu.txt 'lite_train_whole_infer'
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```
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- 模式3:whole_infer,不训练,全量数据预测,走通开源模型评估、动转静,检查inference model预测时间和精度;
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```shell
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bash test_tipc/prepare.sh ./test_tipc/configs/ppocr_det_mobile/train_mac_cpu_normal_normal_infer_python_mac_cpu.txt 'whole_infer'
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bash test_tipc/prepare.sh ./test_tipc/configs/ch_ppocr_mobile_v2.0_det/train_mac_cpu_normal_normal_infer_python_mac_cpu.txt 'whole_infer'
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# 用法1:
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bash test_tipc/test_train_inference_python.sh ./test_tipc/configs/ppocr_det_mobile/train_mac_cpu_normal_normal_infer_python_mac_cpu.txt 'whole_infer'
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bash test_tipc/test_train_inference_python.sh ./test_tipc/configs/ch_ppocr_mobile_v2.0_det/train_mac_cpu_normal_normal_infer_python_mac_cpu.txt 'whole_infer'
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# 用法2: 指定GPU卡预测,第三个传入参数为GPU卡号
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bash test_tipc/test_train_inference_python.sh ./test_tipc/configs/ppocr_det_mobile/train_mac_cpu_normal_normal_infer_python_mac_cpu.txt 'whole_infer' '1'
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bash test_tipc/test_train_inference_python.sh ./test_tipc/configs/ch_ppocr_mobile_v2.0_det/train_mac_cpu_normal_normal_infer_python_mac_cpu.txt 'whole_infer' '1'
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```
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- 模式4:whole_train_whole_infer,CE: 全量数据训练,全量数据预测,验证模型训练精度,预测精度,预测速度;(Mac端不建议运行此模式)
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```shell
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bash test_tipc/prepare.sh ./test_tipc/configs/ppocr_det_mobile/train_mac_cpu_normal_normal_infer_python_mac_cpu.txt 'whole_train_whole_infer'
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bash test_tipc/test_train_inference_python.sh ./test_tipc/configs/ppocr_det_mobile/train_mac_cpu_normal_normal_infer_python_mac_cpu.txt 'whole_train_whole_infer'
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bash test_tipc/prepare.sh ./test_tipc/configs/ch_ppocr_mobile_v2.0_det/train_mac_cpu_normal_normal_infer_python_mac_cpu.txt 'whole_train_whole_infer'
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bash test_tipc/test_train_inference_python.sh ./test_tipc/configs/ch_ppocr_mobile_v2.0_det/train_mac_cpu_normal_normal_infer_python_mac_cpu.txt 'whole_train_whole_infer'
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```
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- 模式5:klquant_whole_infer,测试离线量化;
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```shell
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bash test_tipc/prepare.sh ./test_tipc/ppocr_det_mobile/train_mac_cpu_normal_normal_infer_python_mac_cpu.txt 'klquant_whole_infer'
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bash test_tipc/prepare.sh ./test_tipc/ch_ppocr_mobile_v2.0_det/train_mac_cpu_normal_normal_infer_python_mac_cpu.txt 'klquant_whole_infer'
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bash test_tipc/test_train_inference_python.sh test_tipc/configs/ppocr_det_mobile/train_mac_cpu_normal_normal_infer_python_mac_cpu.txt 'klquant_whole_infer'
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bash test_tipc/test_train_inference_python.sh test_tipc/configs/ch_ppocr_mobile_v2.0_det/train_mac_cpu_normal_normal_infer_python_mac_cpu.txt 'klquant_whole_infer'
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```
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运行相应指令后,在`test_tipc/output`文件夹下自动会保存运行日志。如`lite_train_lite_infer`模式下,会运行训练+inference的链条,因此,在`test_tipc/output`文件夹有以下文件:
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@ -64,35 +64,35 @@ Linux端基础训练预测功能测试的主程序为`test_train_inference_pytho
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- 模式1:lite_train_lite_infer,使用少量数据训练,用于快速验证训练到预测的走通流程,不验证精度和速度;
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```shell
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bash test_tipc/prepare.sh ./test_tipc/configs/ppocr_det_mobile/train_infer_python.txt 'lite_train_lite_infer'
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bash test_tipc/test_train_inference_python.sh ./test_tipc/configs/ppocr_det_mobile/train_infer_python.txt 'lite_train_lite_infer'
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bash test_tipc/prepare.sh ./test_tipc/configs/ch_ppocr_mobile_v2.0_det/train_infer_python.txt 'lite_train_lite_infer'
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bash test_tipc/test_train_inference_python.sh ./test_tipc/configs/ch_ppocr_mobile_v2.0_det/train_infer_python.txt 'lite_train_lite_infer'
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```
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- 模式2:lite_train_whole_infer,使用少量数据训练,一定量数据预测,用于验证训练后的模型执行预测,预测速度是否合理;
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```shell
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bash test_tipc/prepare.sh ./test_tipc/configs/ppocr_det_mobile/train_infer_python.txt 'lite_train_whole_infer'
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bash test_tipc/test_train_inference_python.sh ../test_tipc/configs/ppocr_det_mobile/train_infer_python.txt 'lite_train_whole_infer'
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bash test_tipc/prepare.sh ./test_tipc/configs/ch_ppocr_mobile_v2.0_det/train_infer_python.txt 'lite_train_whole_infer'
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bash test_tipc/test_train_inference_python.sh ../test_tipc/configs/ch_ppocr_mobile_v2.0_det/train_infer_python.txt 'lite_train_whole_infer'
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```
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- 模式3:whole_infer,不训练,全量数据预测,走通开源模型评估、动转静,检查inference model预测时间和精度;
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```shell
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bash test_tipc/prepare.sh ./test_tipc/configs/ppocr_det_mobile/train_infer_python.txt 'whole_infer'
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bash test_tipc/prepare.sh ./test_tipc/configs/ch_ppocr_mobile_v2.0_det/train_infer_python.txt 'whole_infer'
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# 用法1:
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bash test_tipc/test_train_inference_python.sh ../test_tipc/configs/ppocr_det_mobile/train_infer_python.txt 'whole_infer'
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bash test_tipc/test_train_inference_python.sh ../test_tipc/configs/ch_ppocr_mobile_v2.0_det/train_infer_python.txt 'whole_infer'
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# 用法2: 指定GPU卡预测,第三个传入参数为GPU卡号
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bash test_tipc/test_train_inference_python.sh ./test_tipc/configs/ppocr_det_mobile/train_infer_python.txt 'whole_infer' '1'
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bash test_tipc/test_train_inference_python.sh ./test_tipc/configs/ch_ppocr_mobile_v2.0_det/train_infer_python.txt 'whole_infer' '1'
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```
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- 模式4:whole_train_whole_infer,CE: 全量数据训练,全量数据预测,验证模型训练精度,预测精度,预测速度;
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```shell
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bash test_tipc/prepare.sh ./test_tipc/configs/ppocr_det_mobile/train_infer_python.txt 'whole_train_whole_infer'
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bash test_tipc/test_train_inference_python.sh ./test_tipc/configs/ppocr_det_mobile/train_infer_python.txt 'whole_train_whole_infer'
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bash test_tipc/prepare.sh ./test_tipc/configs/ch_ppocr_mobile_v2.0_det/train_infer_python.txt 'whole_train_whole_infer'
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bash test_tipc/test_train_inference_python.sh ./test_tipc/configs/ch_ppocr_mobile_v2.0_det/train_infer_python.txt 'whole_train_whole_infer'
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```
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- 模式5:klquant_whole_infer,测试离线量化;
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```shell
|
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bash test_tipc/prepare.sh ./test_tipc/configs/ppocr_det_mobile/train_infer_python.txt 'klquant_whole_infer'
|
||||
bash test_tipc/test_train_inference_python.sh ./test_tipc/configs/ppocr_det_mobile/train_infer_python.txt 'klquant_whole_infer'
|
||||
bash test_tipc/prepare.sh ./test_tipc/configs/ch_ppocr_mobile_v2.0_det/train_infer_python.txt 'klquant_whole_infer'
|
||||
bash test_tipc/test_train_inference_python.sh ./test_tipc/configs/ch_ppocr_mobile_v2.0_det/train_infer_python.txt 'klquant_whole_infer'
|
||||
```
|
||||
|
||||
运行相应指令后,在`test_tipc/output`文件夹下自动会保存运行日志。如'lite_train_lite_infer'模式下,会运行训练+inference的链条,因此,在`test_tipc/output`文件夹有以下文件:
|
||||
|
||||
@ -58,35 +58,35 @@ Windows端基础训练预测功能测试的主程序为`test_train_inference_pyt
|
||||
|
||||
- 模式1:lite_train_lite_infer,使用少量数据训练,用于快速验证训练到预测的走通流程,不验证精度和速度;
|
||||
```shell
|
||||
bash test_tipc/prepare.sh ./test_tipc/configs/ppocr_det_mobile/train_windows_gpu_normal_normal_infer_python_windows_cpu_gpu.txt 'lite_train_lite_infer'
|
||||
bash test_tipc/test_train_inference_python.sh ./test_tipc/configs/ppocr_det_mobile/train_windows_gpu_normal_normal_infer_python_windows_cpu_gpu.txt 'lite_train_lite_infer'
|
||||
bash test_tipc/prepare.sh ./test_tipc/configs/ch_ppocr_mobile_v2.0_det/train_windows_gpu_normal_normal_infer_python_windows_cpu_gpu.txt 'lite_train_lite_infer'
|
||||
bash test_tipc/test_train_inference_python.sh ./test_tipc/configs/ch_ppocr_mobile_v2.0_det/train_windows_gpu_normal_normal_infer_python_windows_cpu_gpu.txt 'lite_train_lite_infer'
|
||||
```
|
||||
|
||||
- 模式2:lite_train_whole_infer,使用少量数据训练,一定量数据预测,用于验证训练后的模型执行预测,预测速度是否合理;
|
||||
```shell
|
||||
bash test_tipc/prepare.sh ./test_tipc/configs/ppocr_det_mobile/train_windows_gpu_normal_normal_infer_python_windows_cpu_gpu.txt 'lite_train_whole_infer'
|
||||
bash test_tipc/test_train_inference_python.sh ./test_tipc/configs/ppocr_det_mobile/train_windows_gpu_normal_normal_infer_python_windows_cpu_gpu.txt 'lite_train_whole_infer'
|
||||
bash test_tipc/prepare.sh ./test_tipc/configs/ch_ppocr_mobile_v2.0_det/train_windows_gpu_normal_normal_infer_python_windows_cpu_gpu.txt 'lite_train_whole_infer'
|
||||
bash test_tipc/test_train_inference_python.sh ./test_tipc/configs/ch_ppocr_mobile_v2.0_det/train_windows_gpu_normal_normal_infer_python_windows_cpu_gpu.txt 'lite_train_whole_infer'
|
||||
```
|
||||
|
||||
- 模式3:whole_infer,不训练,全量数据预测,走通开源模型评估、动转静,检查inference model预测时间和精度;
|
||||
```shell
|
||||
bash test_tipc/prepare.sh ./test_tipc/configs/ppocr_det_mobile/train_windows_gpu_normal_normal_infer_python_windows_cpu_gpu.txt 'whole_infer'
|
||||
bash test_tipc/prepare.sh ./test_tipc/configs/ch_ppocr_mobile_v2.0_det/train_windows_gpu_normal_normal_infer_python_windows_cpu_gpu.txt 'whole_infer'
|
||||
# 用法1:
|
||||
bash test_tipc/test_train_inference_python.sh ./test_tipc/configs/ppocr_det_mobile/train_windows_gpu_normal_normal_infer_python_windows_cpu_gpu.txt 'whole_infer'
|
||||
bash test_tipc/test_train_inference_python.sh ./test_tipc/configs/ch_ppocr_mobile_v2.0_det/train_windows_gpu_normal_normal_infer_python_windows_cpu_gpu.txt 'whole_infer'
|
||||
# 用法2: 指定GPU卡预测,第三个传入参数为GPU卡号
|
||||
bash test_tipc/test_train_inference_python.sh ./test_tipc/configs/ppocr_det_mobile/train_windows_gpu_normal_normal_infer_python_windows_cpu_gpu.txt 'whole_infer' '1'
|
||||
bash test_tipc/test_train_inference_python.sh ./test_tipc/configs/ch_ppocr_mobile_v2.0_det/train_windows_gpu_normal_normal_infer_python_windows_cpu_gpu.txt 'whole_infer' '1'
|
||||
```
|
||||
|
||||
- 模式4:whole_train_whole_infer,CE: 全量数据训练,全量数据预测,验证模型训练精度,预测精度,预测速度;
|
||||
```shell
|
||||
bash test_tipc/prepare.sh ./test_tipc/configs/ppocr_det_mobile/train_windows_gpu_normal_normal_infer_python_windows_cpu_gpu.txt 'whole_train_whole_infer'
|
||||
bash test_tipc/test_train_inference_python.sh ./test_tipc/configs/ppocr_det_mobile/train_windows_gpu_normal_normal_infer_python_windows_cpu_gpu.txt 'whole_train_whole_infer'
|
||||
bash test_tipc/prepare.sh ./test_tipc/configs/ch_ppocr_mobile_v2.0_det/train_windows_gpu_normal_normal_infer_python_windows_cpu_gpu.txt 'whole_train_whole_infer'
|
||||
bash test_tipc/test_train_inference_python.sh ./test_tipc/configs/ch_ppocr_mobile_v2.0_det/train_windows_gpu_normal_normal_infer_python_windows_cpu_gpu.txt 'whole_train_whole_infer'
|
||||
```
|
||||
|
||||
- 模式5:klquant_whole_infer,测试离线量化;
|
||||
```shell
|
||||
bash test_tipc/prepare.sh ./test_tipc/configs/ppocr_det_mobile/train_windows_gpu_normal_normal_infer_python_windows_cpu_gpu.txt 'klquant_whole_infer'
|
||||
bash test_tipc/test_train_inference_python.sh test_tipc/configs/ppocr_det_mobile/train_windows_gpu_normal_normal_infer_python_windows_cpu_gpu.txt 'klquant_whole_infer'
|
||||
bash test_tipc/prepare.sh ./test_tipc/configs/ch_ppocr_mobile_v2.0_det/train_windows_gpu_normal_normal_infer_python_windows_cpu_gpu.txt 'klquant_whole_infer'
|
||||
bash test_tipc/test_train_inference_python.sh test_tipc/configs/ch_ppocr_mobile_v2.0_det/train_windows_gpu_normal_normal_infer_python_windows_cpu_gpu.txt 'klquant_whole_infer'
|
||||
```
|
||||
|
||||
|
||||
|
||||
Loading…
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Reference in New Issue
Block a user