ocr_det_params.txt

model_name:ocr_det
python:python3.7
gpu_list:-1|0|0,1
Global.auto_cast:False|True
Global.epoch_num:10
Global.save_model_dir:./output/
Global.save_inference_dir:./output/
Train.loader.batch_size_per_card:
Global.use_gpu
Global.pretrained_model

trainer:norm|pact|fpgm
norm_train:tools/train.py -c configs/det/det_mv3_db.yml -o Global.pretrained_model=./pretrain_models/MobileNetV3_large_x0_5_pretrained
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
fpgm_train:null
distill_train:null

eval:tools/eval.py -c configs/det/det_mv3_db.yml -o 

norm_export:tools/export_model.py -c configs/det/det_mv3_db.yml -o 
quant_export:deploy/slim/quantization/export_model.py -c configs/det/det_mv3_db.yml -o 
fpgm_export:deploy/slim/prune/export_prune_model.py
distill_export:null

inference:tools/infer/predict_det.py
--use_gpu:True|False
--enable_mkldnn:True|False
--cpu_threads:1|6
--rec_batch_num:1
--use_tensorrt:True|False
--precision:fp32|fp16|int8
--det_model_dir
--image_dir
--save_log_path