ppdet_params.txt

===========================train_params===========================
model_name:yolov3_darknet53_270e_coco
python:python3.7
gpu_list:0|0,1
Global.use_gpu:True|True
Global.auto_cast:False
Global.epoch_num:lite_train_infer=2|whole_train_infer=300
Global.save_model_dir:./output/
Train.loader.batch_size_per_card:lite_train_infer=2|whole_train_infer=4
Global.pretrained_model:null
train_model_name:latest
train_infer_img_dir:./dataset/coco_ce/
null:null
##
trainer:norm_train|pact_train
norm_train:tools/train.py -c configs/yolov3/yolov3_darknet53_270e_coco.yml -o
pact_train:null
fpgm_train:null
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/yolov3/yolov3_darknet53_270e_coco.yml -o
null:null
##
===========================infer_params===========================
Global.save_inference_dir:./output/
Global.pretrained_model:
norm_export:tools/export_model.py -c configs/yolov3/yolov3_darknet53_270e_coco.yml -o
quant_export:deploy/slim/quantization/export_model.py -c configs/yolov3/yolov3_darknet53_270e_coco.yml -o
fpgm_export:deploy/slim/prune/export_prune_model.py
distill_export:null
null:null
null:null
##
inference:deploy/python/infer.py
--device:cpu|gpu
--enable_mkldnn:False|True
--cpu_threads:1|4
--batch_size:1|2
--use_tensorrt:null
--run_mode:fluid
--model_dir:./output_inference/yolov3_darknet53_270e_coco/
--image_dir:./demo1/
--save_log_path:null
--run_benchmark:True
null:null