===========================train_params===========================
model_name:STGCN
python:python3.7
gpu_list:0
Global.use_gpu:null|null
Global.auto_cast:null
-o epochs:2
null:null
DATASET.batch_size:null
null:null
train_model_name:null
train_infer_video_dir:null
null:null
##
trainer:norm_train
norm_train:main.py -c configs/recognition/stgcn/stgcn_fsd.yaml --seed 1234 --max_iters=10 -o DATASET.train.file_path="data/fsd10/FSD_train_data.npy" -o DATASET.train.label_path="data/fsd10/FSD_train_label.npy" -o DATASET.test.file_path="data/fsd10/FSD_train_data.npy"
pact_train:null
fpgm_train:null
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:main.py --test -c configs/recognition/stgcn/stgcn_fsd.yaml -o DATASET.train.file_path="data/fsd10/FSD_train_data.npy" -o DATASET.train.label_path="data/fsd10/FSD_train_label.npy" -o DATASET.test.file_path="data/fsd10/FSD_train_data.npy"
-w:output/STGCN/STGCN_epoch_00001.pdparams
##
===========================infer_params===========================
-o:inference/STGCN
-p:null
norm_export:tools/export_model.py -c configs/recognition/stgcn/stgcn_fsd.yaml
quant_export:null
fpgm_export:null
distill_export:null
export1:null
export2:null
inference_dir:null
infer_model:./data/STGCN_fsd.pdparams
infer_export:tools/export_model.py -c configs/recognition/stgcn/stgcn_fsd.yaml
infer_quant:False
inference:tools/predict.py --config configs/recognition/stgcn/stgcn_fsd.yaml
--use_gpu:True|False
--enable_mkldnn:False|True
--cpu_threads:1|6
--batch_size:1|2
--use_tensorrt:False|True
--precision:fp32|fp16
--model_file:inference/STGCN/STGCN.pdmodel
--input_file:./data/fsd10/example_skeleton.npy
null:null
--enable_benchmark:True
--params_file:inference/STGCN/STGCN.pdiparams
