36 lines
1.2 KiB
Plaintext
36 lines
1.2 KiB
Plaintext
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.auto_cast:null
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Global.epoch_num:10
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Global.save_model_dir:./output/
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Train.loader.batch_size_per_card:
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Global.use_gpu:
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Global.pretrained_model:null
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trainer:norm|pact
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norm_train:tools/train.py -c configs/det/det_mv3_db.yml -o Global.pretrained_model=./pretrain_models/MobileNetV3_large_x0_5_pretrained
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quant_train:deploy/slim/quantization/quant.py -c configs/det/det_mv3_db.yml -o Global.pretrained_model=./pretrain_models/det_mv3_db_v2.0_train/best_accuracy
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fpgm_train:null
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distill_train:null
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eval:tools/eval.py -c configs/det/det_mv3_db.yml -o
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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/det/det_mv3_db.yml -o
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quant_export:deploy/slim/quantization/export_model.py -c configs/det/det_mv3_db.yml -o
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fpgm_export:deploy/slim/prune/export_prune_model.py
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distill_export:null
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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:True|False
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--precision:fp32|fp16|int8
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--det_model_dir:./inference/ch_ppocr_mobile_v2.0_det_infer/
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--image_dir:./inference/ch_det_data_50/all-sum-510/
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--save_log_path:./test/output/
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