[TIPC] remove old parmas files
MissPenguin
parent
2200456e3e
commit
cd19fb1298
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@ -1,123 +0,0 @@
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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:norm_train|pact_train|fpgm_train
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norm_train:tools/train.py -c test_tipc/configs/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/det_mv3_db.yml -o
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fpgm_train:deploy/slim/prune/sensitivity_anal.py -c test_tipc/configs/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:tools/export_model.py -c test_tipc/configs/det_mv3_db.yml -o
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quant_export:deploy/slim/quantization/export_model.py -c test_tipc/configs/det_mv3_db.yml -o
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fpgm_export:deploy/slim/prune/export_prune_model.py -c test_tipc/configs/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:./inference/ch_ppocr_mobile_v2.0_det_train/best_accuracy
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infer_export:tools/export_model.py -c configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml -o
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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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===========================cpp_infer_params===========================
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use_opencv:True
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infer_model:./inference/ch_ppocr_mobile_v2.0_det_infer/
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infer_quant:False
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inference:./deploy/cpp_infer/build/ppocr det
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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
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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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===========================serving_params===========================
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model_name:ocr_det
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python:python3.7
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trans_model:-m paddle_serving_client.convert
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--dirname:./inference/ch_ppocr_mobile_v2.0_det_infer/
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--model_filename:inference.pdmodel
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--params_filename:inference.pdiparams
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--serving_server:./deploy/pdserving/ppocr_det_mobile_2.0_serving/
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--serving_client:./deploy/pdserving/ppocr_det_mobile_2.0_client/
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serving_dir:./deploy/pdserving
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web_service:web_service_det.py --config=config.yml --opt op.det.concurrency=1
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op.det.local_service_conf.devices:null|0
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op.det.local_service_conf.use_mkldnn:True|False
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op.det.local_service_conf.thread_num:1|6
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op.det.local_service_conf.use_trt:False|True
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op.det.local_service_conf.precision:fp32|fp16|int8
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pipline:pipeline_rpc_client.py|pipeline_http_client.py
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--image_dir:../../doc/imgs
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===========================kl_quant_params===========================
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infer_model:./inference/ch_ppocr_mobile_v2.0_det_infer/
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infer_export:tools/export_model.py -c configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml -o
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infer_quant:True
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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: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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null:null
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===========================lite_params===========================
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inference:./ocr_db_crnn det
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infer_model:./models/ch_ppocr_mobile_v2.0_det_opt.nb|./models/ch_ppocr_mobile_v2.0_det_slim_opt.nb
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--cpu_threads:1|4
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--batch_size:1
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--power_mode:LITE_POWER_HIGH|LITE_POWER_LOW
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--image_dir:./test_data/icdar2015_lite/text_localization/ch4_test_images/|./test_data/icdar2015_lite/text_localization/ch4_test_images/img_233.jpg
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--config_dir:./config.txt
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--rec_dict_dir:./ppocr_keys_v1.txt
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--benchmark:True
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===========================paddle2onnx_params===========================
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2onnx: paddle2onnx
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--model_dir:./inference/ch_ppocr_mobile_v2.0_det_infer/
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--model_filename:inference.pdmodel
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--params_filename:inference.pdiparams
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--save_file:./inference/det_mobile_onnx/model.onnx
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--opset_version:10
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--enable_onnx_checker:True
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inference:tools/infer/predict_det.py
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--use_gpu:False
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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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@ -1,84 +0,0 @@
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===========================train_params===========================
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model_name:ocr_server_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_infer=2|whole_train_infer=300
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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:norm_train|pact_train|fpgm_export
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norm_train:tools/train.py -c tests/configs/det_r50_vd_db.yml -o
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quant_export:deploy/slim/quantization/export_model.py -c tests/configs/det_r50_vd_db.yml -o
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fpgm_export:deploy/slim/prune/export_prune_model.py -c tests/configs/det_r50_vd_db.yml -o
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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:tools/eval.py -c tests/configs/det_r50_vd_db.yml -o
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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:tools/export_model.py -c tests/configs/det_r50_vd_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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##
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train_model:./inference/ch_ppocr_server_v2.0_det_train/best_accuracy
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infer_export:tools/export_model.py -c configs/det/ch_ppocr_v2.0/ch_det_res18_db_v2.0.yml -o
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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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--save_log_path:null
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--benchmark:True
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null:null
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===========================cpp_infer_params===========================
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use_opencv:True
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infer_model:./inference/ch_ppocr_server_v2.0_det_infer/
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infer_quant:False
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inference:./deploy/cpp_infer/build/ppocr det
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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
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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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===========================serving_params===========================
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model_name:ocr_det_server
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python:python3.7
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trans_model:-m paddle_serving_client.convert
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--dirname:./inference/ch_ppocr_server_v2.0_det_infer/
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--model_filename:inference.pdmodel
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--params_filename:inference.pdiparams
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--serving_server:./deploy/pdserving/ppocr_det_mobile_2.0_serving/
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--serving_client:./deploy/pdserving/ppocr_det_mobile_2.0_client/
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serving_dir:./deploy/pdserving
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web_service:web_service_det.py --config=config.yml --opt op.det.concurrency=1
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op.det.local_service_conf.devices:null|0
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op.det.local_service_conf.use_mkldnn:True|False
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op.det.local_service_conf.thread_num:1|6
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op.det.local_service_conf.use_trt:False|True
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op.det.local_service_conf.precision:fp32|fp16|int8
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pipline:pipeline_http_client.py|pipeline_rpc_client.py
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--image_dir=../../doc/imgs
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@ -1,84 +0,0 @@
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===========================train_params===========================
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model_name:ocr_rec
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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_infer=2|whole_train_infer=300
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Global.save_model_dir:./output/
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Train.loader.batch_size_per_card:lite_train_infer=128|whole_train_infer=128
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Global.pretrained_model:null
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train_model_name:latest
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train_infer_img_dir:./inference/rec_inference
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null:null
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##
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trainer:norm_train|pact_train
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norm_train:tools/train.py -c configs/rec/rec_icdar15_train.yml -o
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pact_train:deploy/slim/quantization/quant.py -c configs/rec/rec_icdar15_train.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:tools/eval.py -c configs/rec/rec_icdar15_train.yml -o
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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:tools/export_model.py -c configs/rec/rec_icdar15_train.yml -o
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quant_export:deploy/slim/quantization/export_model.py -c configs/rec/rec_icdar15_train.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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##
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infer_model:./inference/ch_ppocr_mobile_v2.0_rec_infer/
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infer_export:null
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infer_quant:False
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inference:tools/infer/predict_rec.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|6
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--use_tensorrt:True|False
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--precision:fp32|fp16|int8
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--rec_model_dir:
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--image_dir:./inference/rec_inference
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--save_log_path:./test/output/
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--benchmark:True
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null:null
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===========================cpp_infer_params===========================
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use_opencv:True
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infer_model:./inference/ch_ppocr_mobile_v2.0_rec_infer/
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infer_quant:False
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inference:./deploy/cpp_infer/build/ppocr rec
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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
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--rec_model_dir:
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--image_dir:./inference/rec_inference/
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null:null
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--benchmark:True
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===========================serving_params===========================
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model_name:ocr_rec
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python:python3.7
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trans_model:-m paddle_serving_client.convert
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--dirname:./inference/ch_ppocr_mobile_v2.0_rec_infer/
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--model_filename:inference.pdmodel
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--params_filename:inference.pdiparams
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--serving_server:./deploy/pdserving/ppocr_rec_mobile_2.0_serving/
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--serving_client:./deploy/pdserving/ppocr_rec_mobile_2.0_client/
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serving_dir:./deploy/pdserving
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web_service:web_service_rec.py --config=config.yml --opt op.rec.concurrency=1
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op.rec.local_service_conf.devices:null|0
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op.rec.local_service_conf.use_mkldnn:True|False
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op.rec.local_service_conf.thread_num:1|6
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op.rec.local_service_conf.use_trt:False|True
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op.rec.local_service_conf.precision:fp32|fp16|int8
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pipline:pipeline_http_client.py|pipeline_rpc_client.py
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--image_dir=../../doc/imgs_words_en
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@ -1,84 +0,0 @@
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===========================train_params===========================
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model_name:ocr_server_rec
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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_infer=2|whole_train_infer=300
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Global.save_model_dir:./output/
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Train.loader.batch_size_per_card:lite_train_infer=128|whole_train_infer=128
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Global.pretrained_model:null
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train_model_name:latest
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train_infer_img_dir:./inference/rec_inference
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null:null
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##
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trainer:norm_train|pact_train
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norm_train:tools/train.py -c tests/configs/rec_icdar15_r34_train.yml -o
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pact_train:deploy/slim/quantization/quant.py -c tests/configs/rec_icdar15_r34_train.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:tools/eval.py -c tests/configs/rec_icdar15_r34_train.yml -o
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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:tools/export_model.py -c tests/configs/rec_icdar15_r34_train.yml -o
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quant_export:deploy/slim/quantization/export_model.py -c tests/configs/rec_icdar15_r34_train.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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##
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infer_model:./inference/ch_ppocr_server_v2.0_rec_infer/
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infer_export:null
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infer_quant:False
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inference:tools/infer/predict_rec.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|6
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--use_tensorrt:True|False
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--precision:fp32|fp16|int8
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--rec_model_dir:
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--image_dir:./inference/rec_inference
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--save_log_path:./test/output/
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--benchmark:True
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null:null
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===========================cpp_infer_params===========================
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use_opencv:True
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infer_model:./inference/ch_ppocr_server_v2.0_rec_infer/
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infer_quant:False
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inference:./deploy/cpp_infer/build/ppocr rec
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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
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--rec_model_dir:
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--image_dir:./inference/rec_inference/
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null:null
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--benchmark:True
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===========================serving_params===========================
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model_name:ocr_server_rec
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python:python3.7
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trans_model:-m paddle_serving_client.convert
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--dirname:./inference/ch_ppocr_server_v2.0_rec_infer/
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--model_filename:inference.pdmodel
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--params_filename:inference.pdiparams
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--serving_server:./deploy/pdserving/ppocr_rec_mobile_2.0_serving/
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--serving_client:./deploy/pdserving/ppocr_rec_mobile_2.0_client/
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serving_dir:./deploy/pdserving
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web_service:web_service_rec.py --config=config.yml --opt op.rec.concurrency=1
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op.rec.local_service_conf.devices:null|0
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op.rec.local_service_conf.use_mkldnn:True|False
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op.rec.local_service_conf.thread_num:1|6
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op.rec.local_service_conf.use_trt:False|True
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op.rec.local_service_conf.precision:fp32|fp16|int8
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pipline:pipeline_http_client.py|pipeline_rpc_client.py
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--image_dir=../../doc/imgs_words_en
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@ -1,67 +0,0 @@
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===========================train_params===========================
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model_name:ocr_system_mobile
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python:python3.7
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gpu_list:null
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Global.use_gpu:null
|
||||
Global.auto_cast:null
|
||||
Global.epoch_num:null
|
||||
Global.save_model_dir:./output/
|
||||
Train.loader.batch_size_per_card:null
|
||||
Global.pretrained_model:null
|
||||
train_model_name:null
|
||||
train_infer_img_dir:null
|
||||
null:null
|
||||
##
|
||||
trainer:
|
||||
norm_train:null
|
||||
pact_train:null
|
||||
fpgm_train:null
|
||||
distill_train:null
|
||||
null:null
|
||||
null:null
|
||||
##
|
||||
===========================eval_params===========================
|
||||
eval:null
|
||||
null:null
|
||||
##
|
||||
===========================infer_params===========================
|
||||
Global.save_inference_dir:./output/
|
||||
Global.pretrained_model:
|
||||
norm_export:null
|
||||
quant_export:null
|
||||
fpgm_export:null
|
||||
distill_export:null
|
||||
export1:null
|
||||
export2:null
|
||||
##
|
||||
infer_model:./inference/ch_ppocr_mobile_v2.0_det_infer/
|
||||
infer_export:null
|
||||
infer_quant:False
|
||||
inference:tools/infer/predict_system.py
|
||||
--use_gpu:True
|
||||
--enable_mkldnn:True|False
|
||||
--cpu_threads:1|6
|
||||
--rec_batch_num:1
|
||||
--use_tensorrt:False|True
|
||||
--precision:fp32|fp16|int8
|
||||
--det_model_dir:
|
||||
--image_dir:./inference/ch_det_data_50/all-sum-510/
|
||||
--save_log_path:null
|
||||
--benchmark:True
|
||||
--rec_model_dir:./inference/ch_ppocr_mobile_v2.0_rec_infer/
|
||||
===========================cpp_infer_params===========================
|
||||
use_opencv:True
|
||||
infer_model:./inference/ch_ppocr_mobile_v2.0_det_infer/
|
||||
infer_quant:False
|
||||
inference:./deploy/cpp_infer/build/ppocr system
|
||||
--use_gpu:True|False
|
||||
--enable_mkldnn:True|False
|
||||
--cpu_threads:1|6
|
||||
--rec_batch_num:1
|
||||
--use_tensorrt:False|True
|
||||
--precision:fp32|fp16
|
||||
--det_model_dir:
|
||||
--image_dir:./inference/ch_det_data_50/all-sum-510/
|
||||
--rec_model_dir:./inference/ch_ppocr_mobile_v2.0_rec_infer/
|
||||
--benchmark:True
|
||||
|
||||
|
|
@ -1,66 +0,0 @@
|
|||
===========================train_params===========================
|
||||
model_name:ocr_system_server
|
||||
python:python3.7
|
||||
gpu_list:null
|
||||
Global.use_gpu:null
|
||||
Global.auto_cast:null
|
||||
Global.epoch_num:null
|
||||
Global.save_model_dir:./output/
|
||||
Train.loader.batch_size_per_card:null
|
||||
Global.pretrained_model:null
|
||||
train_model_name:null
|
||||
train_infer_img_dir:null
|
||||
null:null
|
||||
##
|
||||
trainer:
|
||||
norm_train:null
|
||||
pact_train:null
|
||||
fpgm_train:null
|
||||
distill_train:null
|
||||
null:null
|
||||
null:null
|
||||
##
|
||||
===========================eval_params===========================
|
||||
eval:null
|
||||
null:null
|
||||
##
|
||||
===========================infer_params===========================
|
||||
Global.save_inference_dir:./output/
|
||||
Global.pretrained_model:
|
||||
norm_export:null
|
||||
quant_export:null
|
||||
fpgm_export:null
|
||||
distill_export:null
|
||||
export1:null
|
||||
export2:null
|
||||
##
|
||||
infer_model:./inference/ch_ppocr_server_v2.0_det_infer/
|
||||
infer_export:null
|
||||
infer_quant:False
|
||||
inference:tools/infer/predict_system.py
|
||||
--use_gpu:True
|
||||
--enable_mkldnn:True|False
|
||||
--cpu_threads:1|6
|
||||
--rec_batch_num:1
|
||||
--use_tensorrt:False|True
|
||||
--precision:fp32|fp16|int8
|
||||
--det_model_dir:
|
||||
--image_dir:./inference/ch_det_data_50/all-sum-510/
|
||||
--save_log_path:null
|
||||
--benchmark:True
|
||||
--rec_model_dir:./inference/ch_ppocr_server_v2.0_rec_infer/
|
||||
===========================cpp_infer_params===========================
|
||||
use_opencv:True
|
||||
infer_model:./inference/ch_ppocr_server_v2.0_det_infer/
|
||||
infer_quant:False
|
||||
inference:./deploy/cpp_infer/build/ppocr system
|
||||
--use_gpu:True|False
|
||||
--enable_mkldnn:True|False
|
||||
--cpu_threads:1|6
|
||||
--rec_batch_num:1
|
||||
--use_tensorrt:False|True
|
||||
--precision:fp32|fp16
|
||||
--det_model_dir:
|
||||
--image_dir:./inference/ch_det_data_50/all-sum-510/
|
||||
--rec_model_dir:./inference/ch_ppocr_server_v2.0_rec_infer/
|
||||
--benchmark:True
|
||||
|
|
@ -96,7 +96,7 @@ test_tipc/
|
|||
|
||||
2. 其他带训练配置命名格式为：`train_训练硬件环境(linux_gpu/linux_dcu/…)_是否多机(fleet/normal)_是否混合精度(amp/normal)_预测模式(infer/lite/serving/js)_语言(cpp/python/java)_预测硬件环境(linux_gpu/mac/jetson/opencl_arm_gpu/...).txt`。如，linux gpu下多机多卡+混合精度链条测试对应配置 `train_linux_gpu_fleet_amp_infer_python_linux_gpu_cpu.txt`，linux dcu下基础训练预测对应配置 `train_linux_dcu_normal_normal_infer_python_dcu.txt`。
|
||||
|
||||
3. 仅预测的配置（如serving、lite等）命名格式：model_训练硬件环境(linux_gpu/linux_dcu/…)_是否多机(fleet/normal)_是否混合精度(amp/normal)_(infer/lite/serving/js)_语言(cpp/python/java)_预测硬件环境(linux_gpu/mac/jetson/opencl_arm_gpu/...).txt，即，与2相比，仅第一个字段从train换为model，测试时模型直接下载获取，这里的“训练硬件环境”表示所测试的模型是在哪种环境下训练得到的。
|
||||
3. 仅预测的配置（如serving、lite等）命名格式：`model_训练硬件环境(linux_gpu/linux_dcu/…)_是否多机(fleet/normal)_是否混合精度(amp/normal)_(infer/lite/serving/js)_语言(cpp/python/java)_预测硬件环境(linux_gpu/mac/jetson/opencl_arm_gpu/...).txt`，即，与2相比，仅第一个字段从train换为model，测试时模型直接下载获取，这里的“训练硬件环境”表示所测试的模型是在哪种环境下训练得到的。
|
||||
|
||||
根据上述命名规范，可以直接从配置文件名看出对应的测试场景和功能。
|
||||
|
||||
|
|
|
|||
Loading…
Reference in New Issue