ocr_kl_quant_params.txt

===========================train_params===========================
model_name:ocr_system
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_mobile_v2.0_det_infer/
kl_quant:deploy/slim/quantization/quant_kl.py -c configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml  -o  
infer_quant:True
inference:tools/infer/predict_det.py
--use_gpu:TrueFalse
--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
null:null