更换文档检测模型

This commit is contained in:
2024-08-27 14:42:45 +08:00
parent aea6f19951
commit 1514e09c40
2072 changed files with 254336 additions and 4967 deletions

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===========================train_params===========================
model_name:cascade_mask_rcnn_r50_fpn_1x_coco
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=12
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=1
pretrain_weights:https://paddledet.bj.bcebos.com/models/cascade_mask_rcnn_r50_fpn_1x_coco.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
filename:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/cascade_rcnn/cascade_mask_rcnn_r50_fpn_1x_coco.yml -o
pact_train:tools/train.py -c configs/cascade_rcnn/cascade_mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/cascade_rcnn/cascade_mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/cascade_rcnn/cascade_mask_rcnn_r50_fpn_1x_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/cascade_mask_rcnn_r50_fpn_1x_coco.pdparams
norm_export:tools/export_model.py -c configs/cascade_rcnn/cascade_mask_rcnn_r50_fpn_1x_coco.yml -o
pact_export:tools/export_model.py -c configs/cascade_rcnn/cascade_mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/cascade_rcnn/cascade_mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export_onnx:null
kl_quant_export:tools/post_quant.py -c configs/cascade_rcnn/cascade_mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_kl_quant -o
##
infer_mode:norm
infer_quant:False
inference:./deploy/python/infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
--trt_max_shape:1600
===========================infer_benchmark_params===========================
numpy_infer_input:3x800x1344.npy

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===========================train_params===========================
model_name:cascade_rcnn_r50_fpn_1x_coco
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=12
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=1
pretrain_weights:https://paddledet.bj.bcebos.com/models/cascade_rcnn_r50_fpn_1x_coco.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
filename:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/cascade_rcnn/cascade_rcnn_r50_fpn_1x_coco.yml -o
pact_train:tools/train.py -c configs/cascade_rcnn/cascade_rcnn_r50_fpn_1x_coco.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/cascade_rcnn/cascade_rcnn_r50_fpn_1x_coco.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/cascade_rcnn/cascade_rcnn_r50_fpn_1x_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/cascade_rcnn_r50_fpn_1x_coco.pdparams
norm_export:tools/export_model.py -c configs/cascade_rcnn/cascade_rcnn_r50_fpn_1x_coco.yml -o
pact_export:tools/export_model.py -c configs/cascade_rcnn/cascade_rcnn_r50_fpn_1x_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/cascade_rcnn/cascade_rcnn_r50_fpn_1x_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export_onnx:null
kl_quant_export:tools/post_quant.py -c configs/cascade_rcnn/cascade_rcnn_r50_fpn_1x_coco.yml --slim_config _template_kl_quant -o
##
infer_mode:norm
infer_quant:False
inference:./deploy/python/infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
--trt_max_shape:1600
===========================infer_benchmark_params===========================
numpy_infer_input:3x800x1344.npy

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===========================train_params===========================
model_name:deformable_detr_r50_1x_coco
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=50
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=1|lite_train_whole_infer=2|whole_train_whole_infer=2
pretrain_weights:https://paddledet.bj.bcebos.com/models/deformable_detr_r50_1x_coco.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
filename:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/deformable_detr/deformable_detr_r50_1x_coco.yml -o
pact_train:tools/train.py -c configs/deformable_detr/deformable_detr_r50_1x_coco.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/deformable_detr/deformable_detr_r50_1x_coco.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/deformable_detr/deformable_detr_r50_1x_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/deformable_detr_r50_1x_coco.pdparams
norm_export:tools/export_model.py -c configs/deformable_detr/deformable_detr_r50_1x_coco.yml -o
pact_export:tools/export_model.py -c configs/deformable_detr/deformable_detr_r50_1x_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/deformable_detr/deformable_detr_r50_1x_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/deformable_detr/deformable_detr_r50_1x_coco.yml --slim_config _template_kl_quant -o
##
infer_mode:norm
infer_quant:False
inference:./deploy/python/infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
--trt_max_shape:1600
===========================train_benchmark_params==========================
batch_size:2
fp_items:fp32|fp16
epoch:1
repeat:1
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
flags:null

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===========================train_params===========================
model_name:detr_r50_1x_coco
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=50
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=1|lite_train_whole_infer=2|whole_train_whole_infer=2
pretrain_weights:https://paddledet.bj.bcebos.com/models/detr_r50_1x_coco.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
filename:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/detr/detr_r50_1x_coco.yml -o
pact_train:tools/train.py -c configs/detr/detr_r50_1x_coco.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/detr/detr_r50_1x_coco.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/detr/detr_r50_1x_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/detr_r50_1x_coco.pdparams
norm_export:tools/export_model.py -c configs/detr/detr_r50_1x_coco.yml -o
pact_export:tools/export_model.py -c configs/detr/detr_r50_1x_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/detr/detr_r50_1x_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/detr/detr_r50_1x_coco.yml --slim_config _template_kl_quant -o
##
infer_mode:norm
infer_quant:False
inference:./deploy/python/infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
--trt_max_shape:1600

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===========================train_params===========================
model_name:dino_r50_4scale_1x_coco
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=300
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=2
pretrain_weights:https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_cos_pretrained.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
filename:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/dino/dino_r50_4scale_1x_coco.yml -o worker_num=32
pact_train:tools/train.py -c configs/dino/dino_r50_4scale_1x_coco.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/dino/dino_r50_4scale_1x_coco.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/dino/dino_r50_4scale_1x_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/dino_r50_4scale_1x_coco.pdparams
norm_export:tools/export_model.py -c configs/dino/dino_r50_4scale_1x_coco.yml -o
pact_export:tools/export_model.py -c configs/dino/dino_r50_4scale_1x_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/dino/dino_r50_4scale_1x_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/dino/dino_r50_4scale_1x_coco.yml --slim_config configs/slim/post_quant/yolov3_darknet53_ptq.yml -o
##
infer_mode:norm|kl_quant
infer_quant:False|True
inference:./deploy/python/infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
--trt_max_shape:1600
===========================train_benchmark_params==========================
batch_size:2
fp_items:fp32|amp
epoch:1
repeat:1
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
flags:null
===========================infer_benchmark_params===========================
numpy_infer_input:3x640x640_2.npy

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===========================train_params===========================
model_name:blazeface_1000e
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=1000
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=8
pretrain_weights:https://paddledet.bj.bcebos.com/models/blazeface_1000e.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/wider_face/WIDER_val/images/0--Parade/
filename:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/face_detection/blazeface_1000e.yml -o
pact_train:tools/train.py -c configs/face_detection/blazeface_1000e.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/face_detection/blazeface_1000e.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/face_detection/blazeface_1000e.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/blazeface_1000e.pdparams
norm_export:tools/export_model.py -c configs/face_detection/blazeface_1000e.yml -o
pact_export:tools/export_model.py -c configs/face_detection/blazeface_1000e.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/face_detection/blazeface_1000e.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/face_detection/blazeface_1000e.yml --slim_config _template_kl_quant -o
##
infer_mode:norm
infer_quant:False
inference:./deploy/python/infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/wider_face/WIDER_val/images/0--Parade/
--save_log_path:null
--run_benchmark:False
null:null
===========================infer_benchmark_params===========================
numpy_infer_input:3x800x1344.npy

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===========================train_params===========================
model_name:faster_rcnn_r50_1x_coco
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=12
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=1
pretrain_weights:https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_1x_coco.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
filename:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/faster_rcnn/faster_rcnn_r50_1x_coco.yml -o
pact_train:tools/train.py -c configs/faster_rcnn/faster_rcnn_r50_1x_coco.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/faster_rcnn/faster_rcnn_r50_1x_coco.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/faster_rcnn/faster_rcnn_r50_1x_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_1x_coco.pdparams
norm_export:tools/export_model.py -c configs/faster_rcnn/faster_rcnn_r50_1x_coco.yml -o
pact_export:tools/export_model.py -c configs/faster_rcnn/faster_rcnn_r50_1x_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/faster_rcnn/faster_rcnn_r50_1x_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export_onnx:null
kl_quant_export:tools/post_quant.py -c configs/faster_rcnn/faster_rcnn_r50_1x_coco.yml --slim_config _template_kl_quant -o
##
infer_mode:norm
infer_quant:False
inference:./deploy/python/infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
--trt_max_shape:1600
===========================infer_benchmark_params===========================
numpy_infer_input:3x800x1344.npy

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===========================train_params===========================
model_name:faster_rcnn_r50_fpn_1x_coco
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=12
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=1
pretrain_weights:https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_fpn_1x_coco.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
filename:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.yml -o
pact_train:tools/train.py -c configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_fpn_1x_coco.pdparams
norm_export:tools/export_model.py -c configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.yml -o
pact_export:tools/export_model.py -c configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export_onnx:null
kl_quant_export:tools/post_quant.py -c configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.yml --slim_config _template_kl_quant -o
##
infer_mode:norm
infer_quant:False
inference:./deploy/python/infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
--trt_max_shape:1600
===========================train_benchmark_params==========================
batch_size:2|8
fp_items:fp32|fp16
epoch:1
repeat:3
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
flags:null
===========================infer_benchmark_params===========================
numpy_infer_input:3x800x1344.npy

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===========================train_params===========================
model_name:faster_rcnn_swin_tiny_fpn_1x_coco
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=12
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=2
pretrain_weights:https://paddledet.bj.bcebos.com/models/faster_rcnn_swin_tiny_fpn_1x_coco.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
filename:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/faster_rcnn/faster_rcnn_swin_tiny_fpn_1x_coco.yml -o
pact_train:tools/train.py -c configs/faster_rcnn/faster_rcnn_swin_tiny_fpn_1x_coco.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/faster_rcnn/faster_rcnn_swin_tiny_fpn_1x_coco.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/faster_rcnn/faster_rcnn_swin_tiny_fpn_1x_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/faster_rcnn_swin_tiny_fpn_1x_coco.pdparams
norm_export:tools/export_model.py -c configs/faster_rcnn/faster_rcnn_swin_tiny_fpn_1x_coco.yml -o
pact_export:tools/export_model.py -c configs/faster_rcnn/faster_rcnn_swin_tiny_fpn_1x_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/faster_rcnn/faster_rcnn_swin_tiny_fpn_1x_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export_onnx:null
kl_quant_export:tools/post_quant.py -c configs/faster_rcnn/faster_rcnn_swin_tiny_fpn_1x_coco.yml --slim_config _template_kl_quant -o
##
infer_mode:norm
infer_quant:False
inference:./deploy/python/infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
--trt_max_shape:1600
===========================infer_benchmark_params===========================
numpy_infer_input:3x640x640.npy

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===========================train_params===========================
model_name:fcos_r50_fpn_1x_coco
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=12
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=2
pretrain_weights:https://paddledet.bj.bcebos.com/models/fcos_r50_fpn_1x_coco.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
filename:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/fcos/fcos_r50_fpn_1x_coco.yml -o
pact_train:tools/train.py -c configs/fcos/fcos_r50_fpn_1x_coco.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/fcos/fcos_r50_fpn_1x_coco.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/fcos/fcos_r50_fpn_1x_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/fcos_r50_fpn_1x_coco.pdparams
norm_export:tools/export_model.py -c configs/fcos/fcos_r50_fpn_1x_coco.yml -o
pact_export:tools/export_model.py -c configs/fcos/fcos_r50_fpn_1x_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/fcos/fcos_r50_fpn_1x_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/fcos/fcos_r50_fpn_1x_coco.yml --slim_config _template_kl_quant -o
##
infer_mode:norm
infer_quant:False
inference:./deploy/python/infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
--trt_max_shape:1600
===========================train_benchmark_params==========================
batch_size:2|8
fp_items:fp32|fp16
epoch:1
repeat:1
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
flags:null
===========================infer_benchmark_params===========================
numpy_infer_input:3x800x1344_2.npy
===========================to_static_train_benchmark_params===========================
to_static_train:--to_static

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===========================train_params===========================
model_name:gfl_r50_fpn_1x_coco
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=12
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=2
pretrain_weights:https://paddledet.bj.bcebos.com/models/gfl_r50_fpn_1x_coco.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
filename:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/gfl/gfl_r50_fpn_1x_coco.yml -o
pact_train:tools/train.py -c configs/gfl/gfl_r50_fpn_1x_coco.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/gfl/gfl_r50_fpn_1x_coco.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/gfl/gfl_r50_fpn_1x_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/gfl_r50_fpn_1x_coco.pdparams
norm_export:tools/export_model.py -c configs/gfl/gfl_r50_fpn_1x_coco.yml -o
pact_export:tools/export_model.py -c configs/gfl/gfl_r50_fpn_1x_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/gfl/gfl_r50_fpn_1x_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/gfl/gfl_r50_fpn_1x_coco.yml --slim_config _template_kl_quant -o
##
infer_mode:norm
infer_quant:False
inference:./deploy/python/infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
--trt_max_shape:1600
===========================train_benchmark_params==========================
batch_size:2|8
fp_items:fp32|fp16
epoch:1
repeat:3
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
flags:null

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@@ -0,0 +1,53 @@
===========================train_params===========================
model_name:dark_hrnet_w32_256x192
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=210
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=64
pretrain_weights:https://paddledet.bj.bcebos.com/models/keypoint/dark_hrnet_w32_256x192.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
filename:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/keypoint/hrnet/dark_hrnet_w32_256x192.yml -o
pact_train:tools/train.py -c configs/keypoint/hrnet/dark_hrnet_w32_256x192.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/keypoint/hrnet/dark_hrnet_w32_256x192.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/keypoint/hrnet/dark_hrnet_w32_256x192.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/keypoint/dark_hrnet_w32_256x192.pdparams
norm_export:tools/export_model.py -c configs/keypoint/hrnet/dark_hrnet_w32_256x192.yml -o
pact_export:tools/export_model.py -c configs/keypoint/hrnet/dark_hrnet_w32_256x192.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/keypoint/hrnet/dark_hrnet_w32_256x192.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/keypoint/hrnet/dark_hrnet_w32_256x192.yml --slim_config _template_kl_quant -o
##
infer_mode:norm
infer_quant:False
inference:./deploy/python/keypoint_infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
null:null
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,256,192]}]

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@@ -0,0 +1,60 @@
===========================train_params===========================
model_name:higherhrnet_hrnet_w32_512
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=300
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=20
pretrain_weights:https://paddledet.bj.bcebos.com/models/keypoint/higherhrnet_hrnet_w32_512.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
filename:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/keypoint/higherhrnet/higherhrnet_hrnet_w32_512.yml -o
pact_train:tools/train.py -c configs/keypoint/higherhrnet/higherhrnet_hrnet_w32_512.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/keypoint/higherhrnet/higherhrnet_hrnet_w32_512.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/keypoint/higherhrnet/higherhrnet_hrnet_w32_512.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/keypoint/higherhrnet_hrnet_w32_512.pdparams
norm_export:tools/export_model.py -c configs/keypoint/higherhrnet/higherhrnet_hrnet_w32_512.yml -o
pact_export:tools/export_model.py -c configs/keypoint/higherhrnet/higherhrnet_hrnet_w32_512.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/keypoint/higherhrnet/higherhrnet_hrnet_w32_512.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/keypoint/higherhrnet/higherhrnet_hrnet_w32_512.yml --slim_config _template_kl_quant -o
##
infer_mode:norm
infer_quant:False
inference:./deploy/python/keypoint_infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
--trt_max_shape:1600
===========================train_benchmark_params==========================
batch_size:20|24
fp_items:fp32|fp16
epoch:1
repeat:1
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
flags:null
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,512,512]}]

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@@ -0,0 +1,60 @@
===========================train_params===========================
model_name:hrnet_w32_256x192
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=210
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=64
pretrain_weights:https://paddledet.bj.bcebos.com/models/keypoint/hrnet_w32_256x192.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
filename:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/keypoint/hrnet/hrnet_w32_256x192.yml -o
pact_train:tools/train.py -c configs/keypoint/hrnet/hrnet_w32_256x192.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/keypoint/hrnet/hrnet_w32_256x192.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/keypoint/hrnet/hrnet_w32_256x192.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/keypoint/hrnet_w32_256x192.pdparams
norm_export:tools/export_model.py -c configs/keypoint/hrnet/hrnet_w32_256x192.yml -o
pact_export:tools/export_model.py -c configs/keypoint/hrnet/hrnet_w32_256x192.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/keypoint/hrnet/hrnet_w32_256x192.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/keypoint/hrnet/hrnet_w32_256x192.yml --slim_config _template_kl_quant -o
##
infer_mode:norm
infer_quant:False
inference:./deploy/python/keypoint_infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
null:null
===========================train_benchmark_params==========================
batch_size:64|160
fp_items:fp32|fp16
epoch:1
repeat:1
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
flags:null
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,256,192]}]

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@@ -0,0 +1,147 @@
use_gpu: true
log_iter: 5
save_dir: output
snapshot_epoch: 10
weights: output/tinypose_128x96/model_final
epoch: 420
num_joints: &num_joints 17
pixel_std: &pixel_std 200
metric: KeyPointTopDownCOCOEval
num_classes: 1
train_height: &train_height 128
train_width: &train_width 96
trainsize: &trainsize [*train_width, *train_height]
hmsize: &hmsize [24, 32]
flip_perm: &flip_perm [[1, 2], [3, 4], [5, 6], [7, 8], [9, 10], [11, 12], [13, 14], [15, 16]]
#####model
architecture: TopDownHRNet
TopDownHRNet:
backbone: LiteHRNet
post_process: HRNetPostProcess
flip_perm: *flip_perm
num_joints: *num_joints
width: &width 40
loss: KeyPointMSELoss
use_dark: true
LiteHRNet:
network_type: wider_naive
freeze_at: -1
freeze_norm: false
return_idx: [0]
KeyPointMSELoss:
use_target_weight: true
loss_scale: 1.0
#####optimizer
LearningRate:
base_lr: 0.008
schedulers:
- !PiecewiseDecay
milestones: [380, 410]
gamma: 0.1
- !LinearWarmup
start_factor: 0.001
steps: 500
OptimizerBuilder:
optimizer:
type: Adam
regularizer:
factor: 0.0
type: L2
#####data
TrainDataset:
!KeypointTopDownCocoDataset
image_dir: train2017
anno_path: annotations/person_keypoints_train2017.json
dataset_dir: dataset/coco
num_joints: *num_joints
trainsize: *trainsize
pixel_std: *pixel_std
use_gt_bbox: True
EvalDataset:
!KeypointTopDownCocoDataset
image_dir: val2017
anno_path: annotations/person_keypoints_val2017.json
dataset_dir: dataset/coco
num_joints: *num_joints
trainsize: *trainsize
pixel_std: *pixel_std
use_gt_bbox: True
image_thre: 0.5
TestDataset:
!ImageFolder
anno_path: dataset/coco/keypoint_imagelist.txt
worker_num: 16
global_mean: &global_mean [0.485, 0.456, 0.406]
global_std: &global_std [0.229, 0.224, 0.225]
TrainReader:
sample_transforms:
# - RandomFlipHalfBodyTransform:
# scale: 0.25
# rot: 30
# num_joints_half_body: 8
# prob_half_body: 0.3
# pixel_std: *pixel_std
# trainsize: *trainsize
# upper_body_ids: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
# flip_pairs: *flip_perm
# - AugmentationbyInformantionDropping:
# prob_cutout: 0.5
# offset_factor: 0.05
# num_patch: 1
# trainsize: *trainsize
- TopDownAffine:
trainsize: *trainsize
use_udp: true
- ToHeatmapsTopDown_DARK:
hmsize: *hmsize
sigma: 1
batch_transforms:
- NormalizeImage:
mean: *global_mean
std: *global_std
is_scale: true
- Permute: {}
batch_size: 512
shuffle: true
drop_last: false
EvalReader:
sample_transforms:
- TopDownAffine:
trainsize: *trainsize
use_udp: true
batch_transforms:
- NormalizeImage:
mean: *global_mean
std: *global_std
is_scale: true
- Permute: {}
batch_size: 16
TestReader:
inputs_def:
image_shape: [3, *train_height, *train_width]
sample_transforms:
- Decode: {}
- TopDownEvalAffine:
trainsize: *trainsize
- NormalizeImage:
mean: *global_mean
std: *global_std
is_scale: true
- Permute: {}
batch_size: 1
fuse_normalize: false

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@@ -0,0 +1,29 @@
===========================cpp_infer_params===========================
model_name:tinypose_128x96_KL
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/keypoint/tinypose_128x96.pdparams
norm_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml -o
quant_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config _template_kl_quant -o
##
opencv_dir:default
infer_mode:null
infer_quant:True
inference:./deploy/cpp/build/main
--device:gpu|cpu
--use_mkldnn:False
--cpu_threads:4
--batch_size:1
--use_tensorrt:null
--run_mode:paddle
--model_dir_keypoint:
--image_dir:./dataset/coco/test2017/
--run_benchmark:False
--model_dir:./output_inference/picodet_s_320_pedestrian

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@@ -0,0 +1,26 @@
===========================serving_infer_cpp_params===========================
model_name:tinypose_128x96_KL
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/keypoint/tinypose_128x96.pdparams
norm_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --export_serving_model True -o
quant_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config _template_pact --export_serving_model True -o
fpgm_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config _template_fpgm --export_serving_model True -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config configs/slim/post_quant/tinypose_128x96_ptq.yml --export_serving_model True -o
##
infer_mode:null
infer_quant:True
--model:null
--op:tinypose_128x96
--port:9997
--gpu_ids:null|0
null:null
http_client:deploy/serving/cpp/serving_client.py
--serving_client:null
--image_file:./demo/hrnet_demo.jpg
null:null

View File

@@ -0,0 +1,24 @@
===========================serving_infer_python_params===========================
model_name:tinypose_128x96_KL
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/keypoint/tinypose_128x96.pdparams
norm_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --export_serving_model True -o
quant_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config _template_pact --export_serving_model True -o
fpgm_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config _template_fpgm --export_serving_model True -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config configs/slim/post_quant/tinypose_128x96_ptq.yml --export_serving_model True -o
##
infer_mode:null
infer_quant:True
web_service:deploy/serving/python/web_service.py --config=deploy/serving/python/config.yml
--model_dir:null
--opt:cpu:op.ppdet.local_service_conf.device_type=0|gpu:op.ppdet.local_service_conf.device_type=1
null:null
http_client:deploy/serving/python/pipeline_http_client.py
--image_file:./demo/hrnet_demo.jpg
null:null

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@@ -0,0 +1,29 @@
===========================cpp_infer_params===========================
model_name:tinypose_128x96_PACT
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://bj.bcebos.com/v1/paddledet/data/tipc/models/tinypose_128x96_qat.pdparams
norm_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml -o
quant_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config configs/slim/quant/tinypose_qat.yml -o
fpgm_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config _template_kl_quant -o
##
opencv_dir:default
infer_mode:quant
infer_quant:True
inference:./deploy/cpp/build/main
--device:gpu|cpu
--use_mkldnn:False
--cpu_threads:4
--batch_size:1
--use_tensorrt:null
--run_mode:paddle
--model_dir_keypoint:
--image_dir:./dataset/coco/test2017/
--run_benchmark:False
--model_dir:./output_inference/picodet_s_320_pedestrian

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===========================serving_infer_cpp_params===========================
model_name:tinypose_128x96_PACT
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://bj.bcebos.com/v1/paddledet/data/tipc/models/tinypose_128x96_qat.pdparams
norm_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --export_serving_model True -o
quant_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config configs/slim/quant/tinypose_qat.yml --export_serving_model True -o
fpgm_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config _template_fpgm --export_serving_model True -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config configs/slim/post_quant/tinypose_128x96_ptq.yml --export_serving_model True -o
##
infer_mode:quant
infer_quant:True
--model:null
--op:tinypose_128x96
--port:9997
--gpu_ids:null|0
null:null
http_client:deploy/serving/cpp/serving_client.py
--serving_client:null
--image_file:./demo/hrnet_demo.jpg
null:null

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@@ -0,0 +1,24 @@
===========================serving_infer_python_params===========================
model_name:tinypose_128x96_PACT
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://bj.bcebos.com/v1/paddledet/data/tipc/models/tinypose_128x96_qat.pdparams
norm_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --export_serving_model True -o
quant_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config configs/slim/quant/tinypose_qat.yml --export_serving_model True -o
fpgm_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config _template_fpgm --export_serving_model True -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config configs/slim/post_quant/tinypose_128x96_ptq.yml --export_serving_model True -o
##
infer_mode:quant
infer_quant:True
web_service:deploy/serving/python/web_service.py --config=deploy/serving/python/config.yml
--model_dir:null
--opt:cpu:op.ppdet.local_service_conf.device_type=0|gpu:op.ppdet.local_service_conf.device_type=1
null:null
http_client:deploy/serving/python/pipeline_http_client.py
--image_file:./demo/hrnet_demo.jpg
null:null

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@@ -0,0 +1,29 @@
===========================cpp_infer_params===========================
model_name:tinypose_128x96
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/keypoint/tinypose_128x96.pdparams
norm_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml -o
quant_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config _template_kl_quant -o
##
opencv_dir:default
infer_mode:norm
infer_quant:False
inference:./deploy/cpp/build/main
--device:gpu|cpu
--use_mkldnn:False
--cpu_threads:4
--batch_size:1
--use_tensorrt:null
--run_mode:paddle
--model_dir_keypoint:
--image_dir:./dataset/coco/test2017/
--run_benchmark:False
--model_dir:./output_inference/picodet_s_320_pedestrian

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@@ -0,0 +1,30 @@
===========================paddle2onnx_params===========================
model_name:tinypose_128x96
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/keypoint/tinypose_128x96.pdparams
norm_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml -o
quant_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export_param:null
kl_quant_export:tools/post_quant.py -c configs/keypoint/tiny_pose/yolov3_darknet53_270e_coco.yml --slim_config configs/slim/post_quant/tinypose_128x96_ptq.yml -o
##
infer_mode:norm
infer_quant:False
cmd:paddle2onnx
--model_dir:null
--model_filename:model.pdmodel
--params_filename:model.pdiparams
--save_file:model.onnx
--opset_version:11
--enable_onnx_checker:True
paddle2onnx_param1:null
infer_py:./deploy/third_engine/onnx/infer.py
--infer_cfg:null
--onnx_file:null
--image_file:./demo/hrnet_demo.jpg
infer_param1:null

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@@ -0,0 +1,26 @@
===========================serving_infer_cpp_params===========================
model_name:tinypose_128x96
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/keypoint/tinypose_128x96.pdparams
norm_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --export_serving_model True -o
quant_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config _template_pact --export_serving_model True -o
fpgm_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config _template_fpgm --export_serving_model True -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config configs/slim/post_quant/tinypose_128x96_ptq.yml --export_serving_model True -o
##
infer_mode:norm
infer_quant:False
--model:null
--op:tinypose_128x96
--port:9997
--gpu_ids:null|0
null:null
http_client:deploy/serving/cpp/serving_client.py
--serving_client:null
--image_file:./demo/hrnet_demo.jpg
null:null

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@@ -0,0 +1,24 @@
===========================serving_infer_python_params===========================
model_name:tinypose_128x96
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/keypoint/tinypose_128x96.pdparams
norm_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --export_serving_model True -o
quant_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config _template_pact --export_serving_model True -o
fpgm_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config _template_fpgm --export_serving_model True -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config configs/slim/post_quant/tinypose_128x96_ptq.yml --export_serving_model True -o
##
infer_mode:norm
infer_quant:False
web_service:deploy/serving/python/web_service.py --config=deploy/serving/python/config.yml
--model_dir:null
--opt:cpu:op.ppdet.local_service_conf.device_type=0|gpu:op.ppdet.local_service_conf.device_type=1
null:null
http_client:deploy/serving/python/pipeline_http_client.py
--image_file:./demo/hrnet_demo.jpg
null:null

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@@ -0,0 +1,62 @@
===========================train_params===========================
model_name:tinypose_128x96
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=420
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=512
pretrain_weights:https://paddledet.bj.bcebos.com/models/keypoint/tinypose_128x96.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
filename:null
##
trainer:norm_train
norm_train:tools/train.py -c test_tipc/configs/keypoint/tinypose_128x96.yml -o
pact_train:tools/train.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c test_tipc/configs/keypoint/tinypose_128x96.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/keypoint/tinypose_128x96.pdparams
norm_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml -o
pact_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config configs/slim/post_quant/tinypose_128x96_ptq.yml -o
##
infer_mode:norm|kl_quant
infer_quant:False|True
inference:./deploy/python/keypoint_infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
null:null
===========================train_benchmark_params==========================
batch_size:512
fp_items:fp32|fp16
epoch:1
repeat:1
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
flags:null
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,128,96]}]
===========================to_static_train_benchmark_params===========================
to_static_train:--to_static

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@@ -0,0 +1,51 @@
===========================train_params===========================
model_name:tinypose_128x96
python:python3.7
gpu_list:192.168.0.1,192.168.0.2;0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=420
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=512
pretrain_weights:https://paddledet.bj.bcebos.com/models/keypoint/tinypose_128x96.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
filename:null
##
trainer:norm_train
norm_train:tools/train.py -c test_tipc/configs/keypoint/tinypose_128x96.yml -o
pact_train:tools/train.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c test_tipc/configs/keypoint/tinypose_128x96.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/keypoint/tinypose_128x96.pdparams
norm_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml -o
pact_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config configs/slim/post_quant/tinypose_128x96_ptq.yml -o
##
infer_mode:norm
infer_quant:False
inference:./deploy/python/keypoint_infer.py
--device:cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
null:null

View File

@@ -0,0 +1,51 @@
===========================train_params===========================
model_name:tinypose_128x96
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:amp
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=420
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=512
pretrain_weights:https://paddledet.bj.bcebos.com/models/keypoint/tinypose_128x96.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
null:null
##
trainer:norm_train
norm_train:tools/train.py -c test_tipc/configs/keypoint/tinypose_128x96.yml -o
pact_train:tools/train.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c test_tipc/configs/keypoint/tinypose_128x96.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/keypoint/tinypose_128x96.pdparams
norm_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml -o
pact_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/keypoint/tiny_pose/tinypose_128x96.yml --slim_config _template_kl_quant -o
##
infer_mode:norm
infer_quant:False
inference:./deploy/python/keypoint_infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
--trt_max_shape:1600

View File

@@ -0,0 +1,51 @@
===========================train_params===========================
model_name:tinypose_128x96
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=420
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=512
pretrain_weights:https://paddledet.bj.bcebos.com/models/keypoint/tinypose_128x96.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
filename:null
##
trainer:pact_train
norm_train:tools/train.py -c test_tipc/configs/keypoint/tinypose_128x96.yml -o
pact_train:tools/train.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config configs/slim/quant/yolov3_mobilenet_v3_qat.yml -o
fpgm_train:tools/train.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c test_tipc/configs/keypoint/tinypose_128x96.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/keypoint/tinypose_128x96.pdparams
norm_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml -o
pact_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config configs/slim/quant/yolov3_mobilenet_v3_qat.yml -o
fpgm_export:tools/export_model.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config configs/slim/post_quant/tinypose_128x96_ptq.yml -o
##
infer_mode:pact
infer_quant:True
inference:./deploy/python/keypoint_infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
--trt_max_shape:null

View File

@@ -0,0 +1,20 @@
===========================ptq_params===========================
model_name:tinypose_128x96
python:python3.7
filename:
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/keypoint/tinypose_128x96.pdparams
kl_quant_export:tools/post_quant.py -c test_tipc/configs/keypoint/tinypose_128x96.yml --slim_config configs/slim/post_quant/tinypose_128x96_ptq.yml -o
export_param1:null
##
inference:./deploy/python/keypoint_infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--run_benchmark:False
null:null

View File

@@ -0,0 +1,60 @@
===========================train_params===========================
model_name:mask_rcnn_r50_1x_coco
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=12
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=1
pretrain_weights:https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_1x_coco.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
filename:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/mask_rcnn/mask_rcnn_r50_1x_coco.yml -o
pact_train:tools/train.py -c configs/mask_rcnn/mask_rcnn_r50_1x_coco.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/mask_rcnn/mask_rcnn_r50_1x_coco.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/mask_rcnn/mask_rcnn_r50_1x_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_1x_coco.pdparams
norm_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_1x_coco.yml -o
pact_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_1x_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_1x_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export_onnx:null
kl_quant_export:tools/post_quant.py -c configs/mask_rcnn/mask_rcnn_r50_1x_coco.yml --slim_config _template_kl_quant -o
##
infer_mode:norm
infer_quant:False
inference:./deploy/python/infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
--trt_max_shape:1600
===========================train_benchmark_params==========================
batch_size:2|4
fp_items:fp32|fp16
epoch:1
repeat:2
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
flags:null
===========================infer_benchmark_params===========================
numpy_infer_input:3x800x1344.npy

View File

@@ -0,0 +1,29 @@
===========================cpp_infer_params===========================
model_name:mask_rcnn_r50_fpn_1x_coco_KL
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_fpn_1x_coco.pdparams
norm_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml -o
quant_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_kl_quant -o
##
opencv_dir:default
infer_mode:null
infer_quant:True
inference:./deploy/cpp/build/main
--device:gpu|cpu
--use_mkldnn:False
--cpu_threads:4
--batch_size:1
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--run_benchmark:False
null:null

View File

@@ -0,0 +1,26 @@
===========================serving_infer_cpp_params===========================
model_name:mask_rcnn_r50_fpn_1x_coco_KL
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_fpn_1x_coco.pdparams
norm_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --export_serving_model True -o
quant_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_pact --export_serving_model True -o
fpgm_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_fpgm --export_serving_model True -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config configs/slim/post_quant/mask_rcnn_r50_fpn_1x_coco_ptq.yml --export_serving_model True -o
##
infer_mode:null
infer_quant:True
--model:null
--op:mask_rcnn_r50_fpn_1x_coco
--port:9997
--gpu_ids:null|0
null:null
http_client:deploy/serving/cpp/serving_client.py
--serving_client:null
--image_file:./demo/000000014439.jpg
null:null

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@@ -0,0 +1,24 @@
===========================serving_infer_python_params===========================
model_name:mask_rcnn_r50_fpn_1x_coco_KL
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_fpn_1x_coco.pdparams
norm_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --export_serving_model True -o
quant_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_pact --export_serving_model True -o
fpgm_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_fpgm --export_serving_model True -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config configs/slim/post_quant/mask_rcnn_r50_fpn_1x_coco_ptq.yml --export_serving_model True -o
##
infer_mode:null
infer_quant:True
web_service:deploy/serving/python/web_service.py --config=deploy/serving/python/config.yml
--model_dir:null
--opt:cpu:op.ppdet.local_service_conf.device_type=0|gpu:op.ppdet.local_service_conf.device_type=1
null:null
http_client:deploy/serving/python/pipeline_http_client.py
--image_file:./demo/000000014439.jpg
null:null

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@@ -0,0 +1,29 @@
===========================cpp_infer_params===========================
model_name:mask_rcnn_r50_fpn_1x_coco_PACT
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/slim/mask_rcnn_r50_fpn_1x_qat.pdparams
norm_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml -o
quant_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config configs/slim/quant/mask_rcnn_r50_fpn_1x_qat.yml -o
fpgm_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_kl_quant -o
##
opencv_dir:default
infer_mode:quant
infer_quant:True
inference:./deploy/cpp/build/main
--device:gpu|cpu
--use_mkldnn:False
--cpu_threads:4
--batch_size:1
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--run_benchmark:False
null:null

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@@ -0,0 +1,26 @@
===========================serving_infer_cpp_params===========================
model_name:mask_rcnn_r50_fpn_1x_coco_PACT
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/slim/mask_rcnn_r50_fpn_1x_qat.pdparams
norm_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --export_serving_model True -o
quant_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config configs/slim/quant/mask_rcnn_r50_fpn_1x_qat.yml --export_serving_model True -o
fpgm_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_fpgm --export_serving_model True -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config configs/slim/post_quant/mask_rcnn_r50_fpn_1x_coco_ptq.yml --export_serving_model True -o
##
infer_mode:quant
infer_quant:True
--model:null
--op:mask_rcnn_r50_fpn_1x_coco
--port:9997
--gpu_ids:null|0
null:null
http_client:deploy/serving/cpp/serving_client.py
--serving_client:null
--image_file:./demo/000000014439.jpg
null:null

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@@ -0,0 +1,24 @@
===========================serving_infer_python_params===========================
model_name:mask_rcnn_r50_fpn_1x_coco_PACT
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/slim/mask_rcnn_r50_fpn_1x_qat.pdparams
norm_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --export_serving_model True -o
quant_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config configs/slim/quant/mask_rcnn_r50_fpn_1x_qat.yml --export_serving_model True -o
fpgm_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_fpgm --export_serving_model True -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config configs/slim/post_quant/mask_rcnn_r50_fpn_1x_coco_ptq.yml --export_serving_model True -o
##
infer_mode:quant
infer_quant:True
web_service:deploy/serving/python/web_service.py --config=deploy/serving/python/config.yml
--model_dir:null
--opt:cpu:op.ppdet.local_service_conf.device_type=0|gpu:op.ppdet.local_service_conf.device_type=1
null:null
http_client:deploy/serving/python/pipeline_http_client.py
--image_file:./demo/000000014439.jpg
null:null

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@@ -0,0 +1,29 @@
===========================cpp_infer_params===========================
model_name:mask_rcnn_r50_fpn_1x_coco
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_fpn_1x_coco.pdparams
norm_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml -o
quant_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_kl_quant -o
##
opencv_dir:default
infer_mode:norm
infer_quant:False
inference:./deploy/cpp/build/main
--device:gpu|cpu
--use_mkldnn:False
--cpu_threads:4
--batch_size:1
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--run_benchmark:False
null:null

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@@ -0,0 +1,30 @@
===========================paddle2onnx_params===========================
model_name:mask_rcnn_r50_fpn_1x_coco
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_fpn_1x_coco.pdparams
norm_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml -o
quant_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export_onnx:True
kl_quant_export:tools/post_quant.py -c configs/mask_rcnn/yolov3_darknet53_270e_coco.yml --slim_config configs/slim/post_quant/mask_rcnn_r50_fpn_1x_coco_ptq.yml -o
##
infer_mode:norm
infer_quant:False
cmd:paddle2onnx
--model_dir:null
--model_filename:model.pdmodel
--params_filename:model.pdiparams
--save_file:model.onnx
--opset_version:16
--enable_dev_version:False
paddle2onnx_param1:null
infer_py:./deploy/third_engine/onnx/infer.py
--infer_cfg:null
--onnx_file:null
--image_file:./demo/000000014439.jpg
infer_param1:null

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@@ -0,0 +1,26 @@
===========================serving_infer_cpp_params===========================
model_name:mask_rcnn_r50_fpn_1x_coco
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_fpn_1x_coco.pdparams
norm_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --export_serving_model True -o
quant_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_pact --export_serving_model True -o
fpgm_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_fpgm --export_serving_model True -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config configs/slim/post_quant/mask_rcnn_r50_fpn_1x_coco_ptq.yml --export_serving_model True -o
##
infer_mode:norm
infer_quant:False
--model:null
--op:mask_rcnn_r50_fpn_1x_coco
--port:9997
--gpu_ids:null|0
null:null
http_client:deploy/serving/cpp/serving_client.py
--serving_client:null
--image_file:./demo/000000014439.jpg
null:null

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@@ -0,0 +1,24 @@
===========================serving_infer_python_params===========================
model_name:mask_rcnn_r50_fpn_1x_coco
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_fpn_1x_coco.pdparams
norm_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --export_serving_model True -o
quant_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_pact --export_serving_model True -o
fpgm_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_fpgm --export_serving_model True -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config configs/slim/post_quant/mask_rcnn_r50_fpn_1x_coco_ptq.yml --export_serving_model True -o
##
infer_mode:norm
infer_quant:False
web_service:deploy/serving/python/web_service.py --config=deploy/serving/python/config.yml
--model_dir:null
--opt:cpu:op.ppdet.local_service_conf.device_type=0|gpu:op.ppdet.local_service_conf.device_type=1
null:null
http_client:deploy/serving/python/pipeline_http_client.py
--image_file:./demo/000000014439.jpg
null:null

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@@ -0,0 +1,60 @@
===========================train_params===========================
model_name:mask_rcnn_r50_fpn_1x_coco
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=12
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=1
pretrain_weights:https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_fpn_1x_coco.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
filename:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml -o
pact_train:tools/train.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_fpn_1x_coco.pdparams
norm_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml -o
pact_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export_onnx:null
kl_quant_export:tools/post_quant.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config configs/slim/post_quant/yolov3_darknet53_ptq.yml -o
##
infer_mode:norm|kl_quant
infer_quant:False|True
inference:./deploy/python/infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
--trt_max_shape:1600
===========================train_benchmark_params==========================
batch_size:2|4
fp_items:fp32|fp16
epoch:1
repeat:1
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
flags:null
===========================infer_benchmark_params===========================
numpy_infer_input:3x800x1344.npy

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@@ -0,0 +1,51 @@
===========================train_params===========================
model_name:mask_rcnn_r50_fpn_1x_coco
python:python3.7
gpu_list:192.168.0.1,192.168.0.2;0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=12
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=1
pretrain_weights:https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_fpn_1x_coco.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
filename:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml -o
pact_train:tools/train.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_fpn_1x_coco.pdparams
norm_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml -o
pact_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export_onnx:null
kl_quant_export:tools/post_quant.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config configs/slim/post_quant/yolov3_darknet53_ptq.yml -o
##
infer_mode:norm
infer_quant:False
inference:./deploy/python/infer.py
--device:cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
--trt_max_shape:1600

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@@ -0,0 +1,51 @@
===========================train_params===========================
model_name:mask_rcnn_r50_fpn_1x_coco
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:amp
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=12
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=1
pretrain_weights:https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_fpn_1x_coco.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
null:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml -o
pact_train:tools/train.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_fpn_1x_coco.pdparams
norm_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml -o
pact_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_kl_quant -o
##
infer_mode:norm
infer_quant:False
inference:./deploy/python/infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
--trt_max_shape:1600

View File

@@ -0,0 +1,51 @@
===========================train_params===========================
model_name:mask_rcnn_r50_fpn_1x_coco
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=12
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=1
pretrain_weights:https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_fpn_1x_coco.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
filename:null
##
trainer:pact_train
norm_train:tools/train.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml -o
pact_train:tools/train.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config configs/slim/quant/mask_rcnn_r50_fpn_1x_qat.yml -o
fpgm_train:tools/train.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_fpn_1x_coco.pdparams
norm_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml -o
pact_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config configs/slim/quant/yolov3_mobilenet_v3_qat.yml -o
fpgm_export:tools/export_model.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config configs/slim/post_quant/mask_rcnn_r50_fpn_1x_coco_ptq.yml -o
##
infer_mode:pact
infer_quant:True
inference:./deploy/python/infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
--trt_max_shape:null

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===========================ptq_params===========================
model_name:mask_rcnn_r50_fpn_1x_coco
python:python3.7
filename:
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_fpn_1x_coco.pdparams
kl_quant_export:tools/post_quant.py -c configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml --slim_config configs/slim/post_quant/mask_rcnn_r50_fpn_1x_coco_ptq.yml -o
export_param1:null
##
inference:./deploy/python/infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--run_benchmark:False
null:null

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===========================train_params===========================
model_name:fairmot_dla34_30e_1088x608
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=30
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=6
pretrain_weights:https://paddledet.bj.bcebos.com/models/mot/fairmot_dla34_30e_1088x608.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/mot/test.mp4
filename:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/mot/fairmot/fairmot_dla34_30e_1088x608.yml -o
pact_train:tools/train.py -c configs/mot/fairmot/fairmot_dla34_30e_1088x608.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/mot/fairmot/fairmot_dla34_30e_1088x608.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval_mot.py -c configs/mot/fairmot/fairmot_dla34_30e_1088x608.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/mot/fairmot_dla34_30e_1088x608.pdparams
norm_export:tools/export_model.py -c configs/mot/fairmot/fairmot_dla34_30e_1088x608.yml -o
pact_export:tools/export_model.py -c configs/mot/fairmot/fairmot_dla34_30e_1088x608.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/mot/fairmot/fairmot_dla34_30e_1088x608.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/mot/fairmot/fairmot_dla34_30e_1088x608.yml --slim_config _template_kl_quant -o
##
infer_mode:norm
infer_quant:False
inference:./deploy/pptracking/python/mot_jde_infer.py
--device:gpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--video_file:./dataset/mot/test.mp4
--save_log_path:null
--run_benchmark:False
--trt_max_shape:1600
===========================train_benchmark_params==========================
batch_size:6|20
fp_items:fp32|fp16
epoch:1
repeat:1
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
flags:null
===========================infer_benchmark_params===========================
numpy_infer_input:3x608x1088.npy

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@@ -0,0 +1,43 @@
_BASE_: [
'../../../configs/datasets/mot.yml',
'../../../configs/runtime.yml',
'../../../configs/mot/fairmot/_base_/optimizer_30e_momentum.yml',
'../../../configs/mot/fairmot/_base_/fairmot_hrnetv2_w18_dlafpn.yml',
'../../../configs/mot/fairmot/_base_/fairmot_reader_576x320.yml',
]
norm_type: sync_bn
use_ema: true
ema_decay: 0.9998
# add crowdhuman
TrainDataset:
!MOTDataSet
dataset_dir: dataset/mot
image_lists: ['mot17.train', 'caltech.all', 'cuhksysu.train', 'prw.train', 'citypersons.train', 'eth.train']
data_fields: ['image', 'gt_bbox', 'gt_class', 'gt_ide']
worker_num: 4
TrainReader:
inputs_def:
image_shape: [3, 320, 576]
sample_transforms:
- Decode: {}
- RGBReverse: {}
- AugmentHSV: {}
- LetterBoxResize: {target_size: [320, 576]}
- MOTRandomAffine: {reject_outside: False}
- RandomFlip: {}
- BboxXYXY2XYWH: {}
- NormalizeBox: {}
- NormalizeImage: {mean: [0, 0, 0], std: [1, 1, 1]}
- RGBReverse: {}
- Permute: {}
batch_transforms:
- Gt2FairMOTTarget: {}
batch_size: 4
shuffle: True
drop_last: True
use_shared_memory: True
weights: output/fairmot_hrnetv2_w18_dlafpn_30e_576x320/model_final

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@@ -0,0 +1,53 @@
===========================train_params===========================
model_name:fairmot_hrnetv2_w18_dlafpn_30e_576x320
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=30
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=6
pretrain_weights:https://paddledet.bj.bcebos.com/models/mot/fairmot_hrnetv2_w18_dlafpn_30e_576x320.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/mot/test.mp4
filename:null
##
trainer:norm_train
norm_train:tools/train.py -c test_tipc/configs/mot/fairmot_hrnetv2_w18_dlafpn_30e_576x320.yml -o
pact_train:tools/train.py -c test_tipc/configs/mot/fairmot_hrnetv2_w18_dlafpn_30e_576x320.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c test_tipc/configs/mot/fairmot_hrnetv2_w18_dlafpn_30e_576x320.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval_mot.py -c test_tipc/configs/mot/fairmot_hrnetv2_w18_dlafpn_30e_576x320.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/mot/fairmot_hrnetv2_w18_dlafpn_30e_576x320.pdparams
norm_export:tools/export_model.py -c test_tipc/configs/mot/fairmot_hrnetv2_w18_dlafpn_30e_576x320.yml -o
pact_export:tools/export_model.py -c test_tipc/configs/mot/fairmot_hrnetv2_w18_dlafpn_30e_576x320.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c test_tipc/configs/mot/fairmot_hrnetv2_w18_dlafpn_30e_576x320.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c test_tipc/configs/mot/fairmot_hrnetv2_w18_dlafpn_30e_576x320.yml --slim_config _template_kl_quant -o
##
infer_mode:norm
infer_quant:False
inference:./deploy/pptracking/python/mot_jde_infer.py
--device:gpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--video_file:./dataset/mot/test.mp4
--save_log_path:null
--run_benchmark:False
null:null
===========================infer_benchmark_params===========================
numpy_infer_input:3x320x576.npy

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@@ -0,0 +1,60 @@
===========================train_params===========================
model_name:jde_darknet53_30e_1088x608
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=30
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=4
pretrain_weights:https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_1088x608.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/mot/test.mp4
filename:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/mot/jde/jde_darknet53_30e_1088x608.yml -o
pact_train:tools/train.py -c configs/mot/jde/jde_darknet53_30e_1088x608.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/mot/jde/jde_darknet53_30e_1088x608.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval_mot.py -c configs/mot/jde/jde_darknet53_30e_1088x608.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_1088x608.pdparams
norm_export:tools/export_model.py -c configs/mot/jde/jde_darknet53_30e_1088x608.yml -o
pact_export:tools/export_model.py -c configs/mot/jde/jde_darknet53_30e_1088x608.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/mot/jde/jde_darknet53_30e_1088x608.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/mot/jde/jde_darknet53_30e_1088x608.yml --slim_config _template_kl_quant -o
##
infer_mode:norm
infer_quant:False
inference:./deploy/pptracking/python/mot_jde_infer.py
--device:gpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--video_file:./dataset/mot/test.mp4
--save_log_path:null
--run_benchmark:False
--trt_max_shape:1600
===========================train_benchmark_params==========================
batch_size:4|12
fp_items:fp32|fp16
epoch:1
repeat:1
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
flags:null
===========================infer_benchmark_params===========================
numpy_infer_input:3x608x1088.npy

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@@ -0,0 +1,60 @@
===========================train_params===========================
model_name:ocsort_ppyoloe
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=30
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=4
pretrain_weights:null
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/mot/test.mp4
filename:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/mot/ocsort/ocsort_ppyoloe.yml -o
pact_train:tools/train.py -c configs/mot/ocsort/ocsort_ppyoloe.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/mot/ocsort/ocsort_ppyoloe.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval_mot.py -c configs/mot/ocsort/ocsort_ppyoloe.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://bj.bcebos.com/v1/paddledet/models/mot/ppyoloe_crn_l_36e_640x640_mot17half.pdparams
norm_export:tools/export_model.py -c configs/mot/bytetrack/detector/ppyoloe_crn_l_36e_640x640_mot17half.yml -o
pact_export:tools/export_model.py -c configs/mot/bytetrack/detector/ppyoloe_crn_l_36e_640x640_mot17half.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/mot/bytetrack/detector/ppyoloe_crn_l_36e_640x640_mot17half.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/mot/ocsort/ocsort_ppyoloe.yml --slim_config _template_kl_quant -o
##
infer_mode:norm
infer_quant:False
inference:./deploy/pptracking/python/mot_sde_infer.py --tracker_config deploy/pptracking/python/tracker_config.yml
--device:gpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--video_file:./dataset/mot/test.mp4
--save_log_path:null
--run_benchmark:False
--trt_max_shape:1600
===========================disable_train_benchmark==========================
batch_size:4|12
fp_items:fp32|fp16
epoch:1
repeat:1
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
flags:null
===========================infer_benchmark_params===========================
numpy_infer_input:3x640x640_2.npy

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===========================train_params===========================
model_name:picodet_lcnet_1_0x_416_coco
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=300
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=80
pretrain_weights:null
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
filename:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_0x_416_coco.yml -o
pact_train:tools/train.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_0x_416_coco.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_0x_416_coco.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_0x_416_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:null
norm_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_0x_416_coco.yml -o
pact_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_0x_416_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_0x_416_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_0x_416_coco.yml --slim_config configs/slim/post_quant/yolov3_darknet53_ptq.yml -o
##
infer_mode:norm|kl_quant
infer_quant:False|True
inference:./deploy/python/infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
null:null
===========================train_benchmark_params==========================
batch_size:90
fp_items:fp32|amp
epoch:1
repeat:1
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
flags:null
===========================infer_benchmark_params===========================
numpy_infer_input:3x416x416_2.npy

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@@ -0,0 +1,29 @@
===========================cpp_infer_params===========================
model_name:picodet_lcnet_1_5x_416_coco_KL
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/picodet_lcnet_1_5x_416_coco.pdparams
norm_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml -o
quant_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_kl_quant -o
##
opencv_dir:default
infer_mode:null
infer_quant:True
inference:./deploy/cpp/build/main
--device:gpu|cpu
--use_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--run_benchmark:False
null:null

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@@ -0,0 +1,26 @@
===========================serving_infer_cpp_params===========================
model_name:picodet_lcnet_1_5x_416_coco_KL
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/picodet_lcnet_1_5x_416_coco.pdparams
norm_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --export_serving_model True -o
quant_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_pact --export_serving_model True -o
fpgm_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_fpgm --export_serving_model True -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_kl_quant --export_serving_model True -o
##
infer_mode:null
infer_quant:True
--model:null
--op:picodet_lcnet_1_5x_416_coco
--port:9997
--gpu_ids:null|0
null:null
http_client:deploy/serving/cpp/serving_client.py
--serving_client:null
--image_file:./demo/000000014439.jpg
null:null

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@@ -0,0 +1,24 @@
===========================serving_infer_python_params===========================
model_name:picodet_lcnet_1_5x_416_coco_KL
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/picodet_lcnet_1_5x_416_coco.pdparams
norm_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --export_serving_model True -o
quant_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_pact --export_serving_model True -o
fpgm_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_fpgm --export_serving_model True -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_kl_quant --export_serving_model True -o
##
infer_mode:null
infer_quant:True
web_service:deploy/serving/python/web_service.py --config=deploy/serving/python/config.yml
--model_dir:null
--opt:cpu:op.ppdet.local_service_conf.device_type=0|gpu:op.ppdet.local_service_conf.device_type=1
null:null
http_client:deploy/serving/python/pipeline_http_client.py
--image_file:./demo/000000014439.jpg
null:null

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@@ -0,0 +1,29 @@
===========================cpp_infer_params===========================
model_name:picodet_lcnet_1_5x_416_coco_PACT
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://bj.bcebos.com/v1/paddledet/data/tipc/models/picodet_lcnet_1_5x_416_coco_qat.pdparams
norm_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml -o
quant_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config configs/slim/quant/picodet_s_416_lcnet_quant.yml -o
fpgm_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_kl_quant -o
##
opencv_dir:default
infer_mode:quant
infer_quant:True
inference:./deploy/cpp/build/main
--device:gpu|cpu
--use_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--run_benchmark:False
null:null

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===========================serving_infer_cpp_params===========================
model_name:picodet_lcnet_1_5x_416_coco_PACT
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://bj.bcebos.com/v1/paddledet/data/tipc/models/picodet_lcnet_1_5x_416_coco_qat.pdparams
norm_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --export_serving_model True -o
quant_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config configs/slim/quant/picodet_s_416_lcnet_quant.yml --export_serving_model True -o
fpgm_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_fpgm --export_serving_model True -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_kl_quant --export_serving_model True -o
##
infer_mode:quant
infer_quant:True
--model:null
--op:picodet_lcnet_1_5x_416_coco
--port:9997
--gpu_ids:null|0
null:null
http_client:deploy/serving/cpp/serving_client.py
--serving_client:null
--image_file:./demo/000000014439.jpg
null:null

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@@ -0,0 +1,24 @@
===========================serving_infer_python_params===========================
model_name:picodet_lcnet_1_5x_416_coco_PACT
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://bj.bcebos.com/v1/paddledet/data/tipc/models/picodet_lcnet_1_5x_416_coco_qat.pdparams
norm_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --export_serving_model True -o
quant_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config configs/slim/quant/picodet_s_416_lcnet_quant.yml --export_serving_model True -o
fpgm_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_fpgm --export_serving_model True -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_kl_quant --export_serving_model True -o
##
infer_mode:quant
infer_quant:True
web_service:deploy/serving/python/web_service.py --config=deploy/serving/python/config.yml
--model_dir:null
--opt:cpu:op.ppdet.local_service_conf.device_type=0|gpu:op.ppdet.local_service_conf.device_type=1
null:null
http_client:deploy/serving/python/pipeline_http_client.py
--image_file:./demo/000000014439.jpg
null:null

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@@ -0,0 +1,29 @@
===========================cpp_infer_params===========================
model_name:picodet_lcnet_1_5x_416_coco
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/picodet_lcnet_1_5x_416_coco.pdparams
norm_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml -o
quant_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_kl_quant -o
##
opencv_dir:default
infer_mode:norm
infer_quant:False
inference:./deploy/cpp/build/main
--device:gpu|cpu
--use_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--run_benchmark:False
null:null

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@@ -0,0 +1,30 @@
===========================paddle2onnx_params===========================
model_name:picodet_lcnet_1_5x_416_coco
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/picodet_lcnet_1_5x_416_coco.pdparams
norm_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml -o
quant_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export_param:null
kl_quant_export:tools/post_quant.py -c configs/picodet/legacy_model/more_config/yolov3_darknet53_270e_coco.yml --slim_config _template_kl_quant -o
##
infer_mode:norm
infer_quant:False
cmd:paddle2onnx
--model_dir:null
--model_filename:model.pdmodel
--params_filename:model.pdiparams
--save_file:model.onnx
--opset_version:11
--enable_onnx_checker:True
paddle2onnx_param1:null
infer_py:./deploy/third_engine/onnx/infer.py
--infer_cfg:null
--onnx_file:null
--image_file:./demo/000000014439.jpg
infer_param1:null

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@@ -0,0 +1,26 @@
===========================serving_infer_cpp_params===========================
model_name:picodet_lcnet_1_5x_416_coco
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/picodet_lcnet_1_5x_416_coco.pdparams
norm_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --export_serving_model True -o
quant_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_pact --export_serving_model True -o
fpgm_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_fpgm --export_serving_model True -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_kl_quant --export_serving_model True -o
##
infer_mode:norm
infer_quant:False
--model:null
--op:picodet_lcnet_1_5x_416_coco
--port:9997
--gpu_ids:null|0
null:null
http_client:deploy/serving/cpp/serving_client.py
--serving_client:null
--image_file:./demo/000000014439.jpg
null:null

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@@ -0,0 +1,24 @@
===========================serving_infer_python_params===========================
model_name:picodet_lcnet_1_5x_416_coco
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/picodet_lcnet_1_5x_416_coco.pdparams
norm_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --export_serving_model True -o
quant_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_pact --export_serving_model True -o
fpgm_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_fpgm --export_serving_model True -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_kl_quant --export_serving_model True -o
##
infer_mode:norm
infer_quant:False
web_service:deploy/serving/python/web_service.py --config=deploy/serving/python/config.yml
--model_dir:null
--opt:cpu:op.ppdet.local_service_conf.device_type=0|gpu:op.ppdet.local_service_conf.device_type=1
null:null
http_client:deploy/serving/python/pipeline_http_client.py
--image_file:./demo/000000014439.jpg
null:null

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@@ -0,0 +1,60 @@
===========================train_params===========================
model_name:picodet_lcnet_1_5x_416_coco
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=300
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=80
pretrain_weights:https://paddledet.bj.bcebos.com/models/picodet_lcnet_1_5x_416_coco.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
filename:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml -o
pact_train:tools/train.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/picodet_lcnet_1_5x_416_coco.pdparams
norm_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml -o
pact_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config configs/slim/post_quant/yolov3_darknet53_ptq.yml -o
##
infer_mode:norm|kl_quant
infer_quant:False|True
inference:./deploy/python/infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
null:null
===========================train_benchmark_params==========================
batch_size:32
fp_items:fp32|fp16
epoch:1
repeat:30
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
flags:null
===========================infer_benchmark_params===========================
numpy_infer_input:3x416x416_2.npy

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@@ -0,0 +1,51 @@
===========================train_params===========================
model_name:picodet_lcnet_1_5x_416_coco
python:python3.7
gpu_list:192.168.0.1,192.168.0.2;0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=300
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=80
pretrain_weights:https://paddledet.bj.bcebos.com/models/picodet_lcnet_1_5x_416_coco.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
filename:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml -o
pact_train:tools/train.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/picodet_lcnet_1_5x_416_coco.pdparams
norm_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml -o
pact_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config configs/slim/post_quant/yolov3_darknet53_ptq.yml -o
##
infer_mode:norm
infer_quant:False
inference:./deploy/python/infer.py
--device:cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
null:null

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@@ -0,0 +1,51 @@
===========================train_params===========================
model_name:picodet_lcnet_1_5x_416_coco
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:amp
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=300
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=80
pretrain_weights:https://paddledet.bj.bcebos.com/models/picodet_lcnet_1_5x_416_coco.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
null:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml -o
pact_train:tools/train.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/picodet_lcnet_1_5x_416_coco.pdparams
norm_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml -o
pact_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_kl_quant -o
##
infer_mode:norm
infer_quant:False
inference:./deploy/python/infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
--trt_max_shape:1600

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@@ -0,0 +1,51 @@
===========================train_params===========================
model_name:picodet_lcnet_1_5x_416_coco
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=300
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=80
pretrain_weights:https://paddledet.bj.bcebos.com/models/picodet_lcnet_1_5x_416_coco.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
filename:null
##
trainer:pact_train
norm_train:tools/train.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml -o
pact_train:tools/train.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config configs/slim/quant/yolov3_mobilenet_v3_qat.yml -o
fpgm_train:tools/train.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/picodet_lcnet_1_5x_416_coco.pdparams
norm_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml -o
pact_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config configs/slim/quant/yolov3_mobilenet_v3_qat.yml -o
fpgm_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config _template_kl_quant -o
##
infer_mode:pact
infer_quant:True
inference:./deploy/python/infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
--trt_max_shape:null

View File

@@ -0,0 +1,20 @@
===========================ptq_params===========================
model_name:picodet_lcnet_1_5x_416_coco
python:python3.7
filename:
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/picodet_lcnet_1_5x_416_coco.pdparams
kl_quant_export:tools/post_quant.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_1_5x_416_coco.yml --slim_config configs/slim/post_quant/yolov3_darknet53_ptq.yml -o
export_param1:null
##
inference:./deploy/python/infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--run_benchmark:False
null:null

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@@ -0,0 +1,60 @@
===========================train_params===========================
model_name:picodet_lcnet_2_5x_416_coco
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=300
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=80
pretrain_weights:null
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
filename:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_2_5x_416_coco.yml -o
pact_train:tools/train.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_2_5x_416_coco.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_2_5x_416_coco.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_2_5x_416_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:null
norm_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_2_5x_416_coco.yml -o
pact_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_2_5x_416_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_2_5x_416_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/picodet/legacy_model/more_config/picodet_lcnet_2_5x_416_coco.yml --slim_config configs/slim/post_quant/yolov3_darknet53_ptq.yml -o
##
infer_mode:norm|kl_quant
infer_quant:False|True
inference:./deploy/python/infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
null:null
===========================train_benchmark_params==========================
batch_size:48
fp_items:fp32|amp
epoch:1
repeat:1
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
flags:null
===========================infer_benchmark_params===========================
numpy_infer_input:3x416x416_2.npy

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===========================cpp_infer_params===========================
model_name:picodet_s_320_coco_lcnet
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/picodet_s_320_coco_lcnet.pdparams
norm_export:tools/export_model.py -c configs/picodet/picodet_s_320_coco_lcnet.yml -o
quant_export:tools/export_model.py -c configs/picodet/picodet_s_320_coco_lcnet.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/picodet/picodet_s_320_coco_lcnet.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/picodet/picodet_s_320_coco_lcnet.yml --slim_config _template_kl_quant -o
##
opencv_dir:default
infer_mode:norm
infer_quant:False
inference:./deploy/cpp/build/main
--device:gpu|cpu
--use_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--run_benchmark:False
null:null

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@@ -0,0 +1,30 @@
===========================paddle2onnx_params===========================
model_name:picodet_s_320_coco_lcnet
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/picodet_s_320_coco_lcnet.pdparams
norm_export:tools/export_model.py -c configs/picodet/picodet_s_320_coco_lcnet.yml -o
quant_export:tools/export_model.py -c configs/picodet/picodet_s_320_coco_lcnet.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/picodet/picodet_s_320_coco_lcnet.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export_param:null
kl_quant_export:tools/post_quant.py -c configs/picodet/yolov3_darknet53_270e_coco.yml --slim_config _template_kl_quant -o
##
infer_mode:norm
infer_quant:False
cmd:paddle2onnx
--model_dir:null
--model_filename:model.pdmodel
--params_filename:model.pdiparams
--save_file:model.onnx
--opset_version:11
--enable_onnx_checker:True
paddle2onnx_param1:null
infer_py:./deploy/third_engine/onnx/infer.py
--infer_cfg:null
--onnx_file:null
--image_file:./demo/000000014439.jpg
infer_param1:null

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@@ -0,0 +1,24 @@
===========================serving_infer_python_params===========================
model_name:picodet_s_320_coco_lcnet
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/picodet_s_320_coco_lcnet.pdparams
norm_export:tools/export_model.py -c configs/picodet/picodet_s_320_coco_lcnet.yml --export_serving_model True -o
quant_export:tools/export_model.py -c configs/picodet/picodet_s_320_coco_lcnet.yml --slim_config _template_pact --export_serving_model True -o
fpgm_export:tools/export_model.py -c configs/picodet/picodet_s_320_coco_lcnet.yml --slim_config _template_fpgm --export_serving_model True -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/picodet/picodet_s_320_coco_lcnet.yml --slim_config _template_kl_quant --export_serving_model True -o
##
infer_mode:norm
infer_quant:False
web_service:deploy/serving/python/web_service.py --config=deploy/serving/python/config.yml
--model_dir:null
--opt:cpu:op.ppdet.local_service_conf.device_type=0|gpu:op.ppdet.local_service_conf.device_type=1
null:null
http_client:deploy/serving/python/pipeline_http_client.py
--image_file:./demo/000000014439.jpg
null:null

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@@ -0,0 +1,62 @@
===========================train_params===========================
model_name:picodet_s_320_coco_lcnet
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=300
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=64
pretrain_weights:https://paddledet.bj.bcebos.com/models/picodet_s_320_coco_lcnet.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
filename:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/picodet/picodet_s_320_coco_lcnet.yml -o
pact_train:tools/train.py -c configs/picodet/picodet_s_320_coco_lcnet.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/picodet/picodet_s_320_coco_lcnet.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/picodet/picodet_s_320_coco_lcnet.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/picodet_s_320_coco_lcnet.pdparams
norm_export:tools/export_model.py -c configs/picodet/picodet_s_320_coco_lcnet.yml -o
pact_export:tools/export_model.py -c configs/picodet/picodet_s_320_coco_lcnet.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/picodet/picodet_s_320_coco_lcnet.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/picodet/picodet_s_320_coco_lcnet.yml --slim_config _template_kl_quant -o
##
infer_mode:norm
infer_quant:False
inference:./deploy/python/infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
null:null
===========================train_benchmark_params==========================
batch_size:64
fp_items:fp32|fp16
epoch:1
repeat:1
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
flags:null
===========================infer_benchmark_params===========================
numpy_infer_input:3x320x320_2.npy
===========================to_static_train_benchmark_params===========================
to_static_train:--to_static

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@@ -0,0 +1,51 @@
===========================train_params===========================
model_name:picodet_s_320_coco_lcnet
python:python3.7
gpu_list:192.168.0.1,192.168.0.2;0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=300
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=128
pretrain_weights:https://paddledet.bj.bcebos.com/models/picodet_s_320_coco_lcnet.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
filename:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/picodet/picodet_s_320_coco_lcnet.yml -o
pact_train:tools/train.py -c configs/picodet/picodet_s_320_coco_lcnet.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/picodet/picodet_s_320_coco_lcnet.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/picodet/picodet_s_320_coco_lcnet.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/picodet_s_320_coco_lcnet.pdparams
norm_export:tools/export_model.py -c configs/picodet/picodet_s_320_coco_lcnet.yml -o
pact_export:tools/export_model.py -c configs/picodet/picodet_s_320_coco_lcnet.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/picodet/picodet_s_320_coco_lcnet.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/picodet/picodet_s_320_coco_lcnet.yml --slim_config _template_kl_quant -o
##
infer_mode:norm
infer_quant:False
inference:./deploy/python/infer.py
--device:cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
null:null

View File

@@ -0,0 +1,51 @@
===========================train_params===========================
model_name:picodet_s_320_coco_lcnet
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:amp
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=300
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=128
pretrain_weights:https://paddledet.bj.bcebos.com/models/picodet_s_320_coco_lcnet.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
null:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/picodet/picodet_s_320_coco_lcnet.yml -o
pact_train:tools/train.py -c configs/picodet/picodet_s_320_coco_lcnet.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/picodet/picodet_s_320_coco_lcnet.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/picodet/picodet_s_320_coco_lcnet.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/picodet_s_320_coco_lcnet.pdparams
norm_export:tools/export_model.py -c configs/picodet/picodet_s_320_coco_lcnet.yml -o
pact_export:tools/export_model.py -c configs/picodet/picodet_s_320_coco_lcnet.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/picodet/picodet_s_320_coco_lcnet.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/picodet/picodet_s_320_coco_lcnet.yml --slim_config _template_kl_quant -o
##
infer_mode:norm
infer_quant:False
inference:./deploy/python/infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
--trt_max_shape:1600

View File

@@ -0,0 +1,51 @@
===========================train_params===========================
model_name:picodet_s_320_coco_lcnet
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=300
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=128
pretrain_weights:https://paddledet.bj.bcebos.com/models/picodet_s_320_coco_lcnet.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
filename:null
##
trainer:pact_train
norm_train:tools/train.py -c configs/picodet/picodet_s_320_coco_lcnet.yml -o
pact_train:tools/train.py -c configs/picodet/picodet_s_320_coco_lcnet.yml --slim_config configs/slim/quant/yolov3_mobilenet_v3_qat.yml -o
fpgm_train:tools/train.py -c configs/picodet/picodet_s_320_coco_lcnet.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/picodet/picodet_s_320_coco_lcnet.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/picodet_s_320_coco_lcnet.pdparams
norm_export:tools/export_model.py -c configs/picodet/picodet_s_320_coco_lcnet.yml -o
pact_export:tools/export_model.py -c configs/picodet/picodet_s_320_coco_lcnet.yml --slim_config configs/slim/quant/yolov3_mobilenet_v3_qat.yml -o
fpgm_export:tools/export_model.py -c configs/picodet/picodet_s_320_coco_lcnet.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/picodet/picodet_s_320_coco_lcnet.yml --slim_config configs/slim/post_quant/picodet_s_ptq.yml -o
##
infer_mode:pact
infer_quant:True
inference:./deploy/python/infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
--trt_max_shape:null

View File

@@ -0,0 +1,20 @@
===========================ptq_params===========================
model_name:picodet_s_320_coco_lcnet
python:python3.7
filename:
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/picodet_s_320_coco_lcnet.pdparams
kl_quant_export:tools/post_quant.py -c configs/picodet/picodet_s_320_coco_lcnet.yml --slim_config configs/slim/post_quant/yolov3_darknet53_ptq.yml -o
export_param1:null
##
inference:./deploy/python/infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--run_benchmark:False
null:null

View File

@@ -0,0 +1,29 @@
===========================cpp_infer_params===========================
model_name:picodet_s_320_coco
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/picodet_s_320_coco.pdparams
norm_export:tools/export_model.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml -o
quant_export:tools/export_model.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml --slim_config _template_kl_quant -o
##
opencv_dir:default
infer_mode:norm
infer_quant:False
inference:./deploy/cpp/build/main
--device:gpu|cpu
--use_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--run_benchmark:False
null:null

View File

@@ -0,0 +1,30 @@
===========================paddle2onnx_params===========================
model_name:picodet_s_320_coco
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/picodet_s_320_coco.pdparams
norm_export:tools/export_model.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml -o
quant_export:tools/export_model.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export_param:null
kl_quant_export:tools/post_quant.py -c configs/picodet/legacy_model/yolov3_darknet53_270e_coco.yml --slim_config configs/slim/post_quant/picodet_s_ptq.yml -o
##
infer_mode:norm
infer_quant:False
cmd:paddle2onnx
--model_dir:null
--model_filename:model.pdmodel
--params_filename:model.pdiparams
--save_file:model.onnx
--opset_version:11
--enable_onnx_checker:True
paddle2onnx_param1:null
infer_py:./deploy/third_engine/onnx/infer.py
--infer_cfg:null
--onnx_file:null
--image_file:./demo/000000014439.jpg
infer_param1:null

View File

@@ -0,0 +1,24 @@
===========================serving_infer_python_params===========================
model_name:picodet_s_320_coco
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/picodet_s_320_coco.pdparams
norm_export:tools/export_model.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml --export_serving_model True -o
quant_export:tools/export_model.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml --slim_config _template_pact --export_serving_model True -o
fpgm_export:tools/export_model.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml --slim_config _template_fpgm --export_serving_model True -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml --slim_config configs/slim/post_quant/picodet_s_ptq.yml --export_serving_model True -o
##
infer_mode:norm
infer_quant:False
web_service:deploy/serving/python/web_service.py --config=deploy/serving/python/config.yml
--model_dir:null
--opt:cpu:op.ppdet.local_service_conf.device_type=0|gpu:op.ppdet.local_service_conf.device_type=1
null:null
http_client:deploy/serving/python/pipeline_http_client.py
--image_file:./demo/000000014439.jpg
null:null

View File

@@ -0,0 +1,60 @@
===========================train_params===========================
model_name:picodet_s_320_coco
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=300
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=128
pretrain_weights:https://paddledet.bj.bcebos.com/models/picodet_s_320_coco.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
filename:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml -o worker_num=16
pact_train:tools/train.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/picodet_s_320_coco.pdparams
norm_export:tools/export_model.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml -o
pact_export:tools/export_model.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml --slim_config configs/slim/post_quant/yolov3_darknet53_ptq.yml -o
##
infer_mode:norm|kl_quant
infer_quant:False|True
inference:./deploy/python/infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
null:null
===========================train_benchmark_params==========================
batch_size:64
fp_items:fp32|amp
epoch:1
repeat:50
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
flags:null
===========================infer_benchmark_params===========================
numpy_infer_input:3x320x320_2.npy

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===========================train_params===========================
model_name:picodet_s_320_coco
python:python3.7
gpu_list:192.168.0.1,192.168.0.2;0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=300
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=128
pretrain_weights:https://paddledet.bj.bcebos.com/models/picodet_s_320_coco.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
filename:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml -o
pact_train:tools/train.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/picodet_s_320_coco.pdparams
norm_export:tools/export_model.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml -o
pact_export:tools/export_model.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml --slim_config configs/slim/post_quant/yolov3_darknet53_ptq.yml -o
##
infer_mode:norm
infer_quant:False
inference:./deploy/python/infer.py
--device:cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
null:null

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===========================train_params===========================
model_name:picodet_s_320_coco
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:amp
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=300
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=128
pretrain_weights:https://paddledet.bj.bcebos.com/models/picodet_s_320_coco.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
null:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml -o
pact_train:tools/train.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/picodet_s_320_coco.pdparams
norm_export:tools/export_model.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml -o
pact_export:tools/export_model.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml --slim_config _template_kl_quant -o
##
infer_mode:norm
infer_quant:False
inference:./deploy/python/infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
--trt_max_shape:1600

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===========================train_params===========================
model_name:picodet_s_320_coco
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=300
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=128
pretrain_weights:https://paddledet.bj.bcebos.com/models/picodet_s_320_coco.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
filename:null
##
trainer:pact_train
norm_train:tools/train.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml -o
pact_train:tools/train.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml --slim_config configs/slim/quant/yolov3_mobilenet_v3_qat.yml -o
fpgm_train:tools/train.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/picodet_s_320_coco.pdparams
norm_export:tools/export_model.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml -o
pact_export:tools/export_model.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml --slim_config configs/slim/quant/yolov3_mobilenet_v3_qat.yml -o
fpgm_export:tools/export_model.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml --slim_config configs/slim/post_quant/picodet_s_ptq.yml -o
##
infer_mode:pact
infer_quant:True
inference:./deploy/python/infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
--trt_max_shape:null

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@@ -0,0 +1,20 @@
===========================ptq_params===========================
model_name:picodet_s_320_coco
python:python3.7
filename:
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/picodet_s_320_coco.pdparams
kl_quant_export:tools/post_quant.py -c configs/picodet/legacy_model/picodet_s_320_coco.yml --slim_config configs/slim/post_quant/yolov3_darknet53_ptq.yml -o
export_param1:null
##
inference:./deploy/python/infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--run_benchmark:False
null:null

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@@ -0,0 +1,13 @@
===========================pipeline_infer_python_params===========================
model_name:pphuman
python:python3.7
filename:null
##
infer_mode:norm
input_list:image|video
use_gpu:True
inference:deploy/pipeline/pipeline.py --config=deploy/pipeline/config/infer_cfg_pphuman.yml
--device:cpu|gpu
--image_file:./demo/000000014439.jpg
--video_file:./dataset/mot/test.mp4

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@@ -0,0 +1,13 @@
===========================pipeline_infer_python_params===========================
model_name:ppvehicle
python:python3.7
filename:null
##
infer_mode:norm
input_list:image|video
use_gpu:True
inference:deploy/pipeline/pipeline.py --config=deploy/pipeline/config/infer_cfg_ppvehicle.yml
--device:cpu|gpu
--image_file:./demo/000000014439.jpg
--video_file:./dataset/mot/test.mp4

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===========================train_params===========================
model_name:ppyolo_mbv3_large_coco_FPGM
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=405
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=24
pretrain_weights:https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_large_coco.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
filename:null
##
trainer:fpgm_train
norm_train:tools/train.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml -o
pact_train:tools/train.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/quant/ppyolo_mbv3_large_qat.yml -o
fpgm_train:tools/train.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/prune/ppyolo_mbv3_large_prune_fpgm.yml -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_large_coco.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml -o
pact_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/quant/ppyolo_mbv3_large_qat.yml -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/prune/ppyolo_mbv3_large_prune_fpgm.yml -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/post_quant/ppyolo_mbv3_large_ptq.yml -o
##
infer_mode:fpgm
infer_quant:False
inference:./deploy/python/infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
null:null
===========================infer_benchmark_params===========================
numpy_infer_input:3x320x320.npy

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@@ -0,0 +1,29 @@
===========================cpp_infer_params===========================
model_name:ppyolo_mbv3_large_coco_KL
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_large_coco.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml -o
quant_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/quant/ppyolo_mbv3_large_qat.yml -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/prune/ppyolo_mbv3_large_prune_fpgm.yml -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/post_quant/ppyolo_mbv3_large_ptq.yml -o
##
opencv_dir:default
infer_mode:null
infer_quant:True
inference:./deploy/cpp/build/main
--device:gpu|cpu
--use_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--run_benchmark:False
null:null

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@@ -0,0 +1,26 @@
===========================serving_infer_cpp_params===========================
model_name:ppyolo_mbv3_large_coco_KL
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_large_coco.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --export_serving_model True -o
quant_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/quant/ppyolo_mbv3_large_qat.yml --export_serving_model True -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/prune/ppyolo_mbv3_large_prune_fpgm.yml --export_serving_model True -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/post_quant/ppyolo_mbv3_large_ptq.yml --export_serving_model True -o
##
infer_mode:null
infer_quant:True
--model:null
--op:ppyolo_mbv3_large_coco
--port:9997
--gpu_ids:null|0
null:null
http_client:deploy/serving/cpp/serving_client.py
--serving_client:null
--image_file:./demo/000000014439.jpg
null:null

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@@ -0,0 +1,24 @@
===========================serving_infer_python_params===========================
model_name:ppyolo_mbv3_large_coco_KL
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_large_coco.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --export_serving_model True -o
quant_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/quant/ppyolo_mbv3_large_qat.yml --export_serving_model True -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/prune/ppyolo_mbv3_large_prune_fpgm.yml --export_serving_model True -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/post_quant/ppyolo_mbv3_large_ptq.yml --export_serving_model True -o
##
infer_mode:null
infer_quant:True
web_service:deploy/serving/python/web_service.py --config=deploy/serving/python/config.yml
--model_dir:null
--opt:cpu:op.ppdet.local_service_conf.device_type=0|gpu:op.ppdet.local_service_conf.device_type=1
null:null
http_client:deploy/serving/python/pipeline_http_client.py
--image_file:./demo/000000014439.jpg
null:null

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@@ -0,0 +1,29 @@
===========================cpp_infer_params===========================
model_name:ppyolo_mbv3_large_coco_PACT
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/slim/ppyolo_mbv3_large_qat.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml -o
quant_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/quant/ppyolo_mbv3_large_qat.yml -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/prune/ppyolo_mbv3_large_prune_fpgm.yml -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/post_quant/ppyolo_mbv3_large_ptq.yml -o
##
opencv_dir:default
infer_mode:quant
infer_quant:True
inference:./deploy/cpp/build/main
--device:gpu|cpu
--use_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--run_benchmark:False
null:null

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@@ -0,0 +1,26 @@
===========================serving_infer_cpp_params===========================
model_name:ppyolo_mbv3_large_coco_PACT
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/slim/ppyolo_mbv3_large_qat.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --export_serving_model True -o
quant_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/quant/ppyolo_mbv3_large_qat.yml --export_serving_model True -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/prune/ppyolo_mbv3_large_prune_fpgm.yml --export_serving_model True -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/post_quant/ppyolo_mbv3_large_ptq.yml --export_serving_model True -o
##
infer_mode:quant
infer_quant:True
--model:null
--op:ppyolo_mbv3_large_coco
--port:9997
--gpu_ids:null|0
null:null
http_client:deploy/serving/cpp/serving_client.py
--serving_client:null
--image_file:./demo/000000014439.jpg
null:null

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@@ -0,0 +1,24 @@
===========================serving_infer_python_params===========================
model_name:ppyolo_mbv3_large_coco_PACT
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/slim/ppyolo_mbv3_large_qat.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --export_serving_model True -o
quant_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/quant/ppyolo_mbv3_large_qat.yml --export_serving_model True -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/prune/ppyolo_mbv3_large_prune_fpgm.yml --export_serving_model True -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/post_quant/ppyolo_mbv3_large_ptq.yml --export_serving_model True -o
##
infer_mode:quant
infer_quant:True
web_service:deploy/serving/python/web_service.py --config=deploy/serving/python/config.yml
--model_dir:null
--opt:cpu:op.ppdet.local_service_conf.device_type=0|gpu:op.ppdet.local_service_conf.device_type=1
null:null
http_client:deploy/serving/python/pipeline_http_client.py
--image_file:./demo/000000014439.jpg
null:null

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@@ -0,0 +1,29 @@
===========================cpp_infer_params===========================
model_name:ppyolo_mbv3_large_coco
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_large_coco.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml -o
quant_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/quant/ppyolo_mbv3_large_qat.yml -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/prune/ppyolo_mbv3_large_prune_fpgm.yml -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/post_quant/ppyolo_mbv3_large_ptq.yml -o
##
opencv_dir:default
infer_mode:norm
infer_quant:False
inference:./deploy/cpp/build/main
--device:gpu|cpu
--use_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--run_benchmark:False
null:null

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@@ -0,0 +1,30 @@
===========================paddle2onnx_params===========================
model_name:ppyolo_mbv3_large_coco
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_large_coco.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml -o
quant_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/quant/ppyolo_mbv3_large_qat.yml -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/prune/ppyolo_mbv3_large_prune_fpgm.yml -o
distill_export:null
export1:null
export_param:null
kl_quant_export:tools/post_quant.py -c configs/ppyolo/yolov3_darknet53_270e_coco.yml --slim_config configs/slim/post_quant/ppyolo_mbv3_large_ptq.yml -o
##
infer_mode:norm
infer_quant:False
cmd:paddle2onnx
--model_dir:null
--model_filename:model.pdmodel
--params_filename:model.pdiparams
--save_file:model.onnx
--opset_version:11
--enable_onnx_checker:True
paddle2onnx_param1:null
infer_py:./deploy/third_engine/onnx/infer.py
--infer_cfg:null
--onnx_file:null
--image_file:./demo/000000014439.jpg
infer_param1:null

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@@ -0,0 +1,26 @@
===========================serving_infer_cpp_params===========================
model_name:ppyolo_mbv3_large_coco
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_large_coco.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --export_serving_model True -o
quant_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/quant/ppyolo_mbv3_large_qat.yml --export_serving_model True -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/prune/ppyolo_mbv3_large_prune_fpgm.yml --export_serving_model True -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/post_quant/ppyolo_mbv3_large_ptq.yml --export_serving_model True -o
##
infer_mode:norm
infer_quant:False
--model:null
--op:ppyolo_mbv3_large_coco
--port:9997
--gpu_ids:null|0
null:null
http_client:deploy/serving/cpp/serving_client.py
--serving_client:null
--image_file:./demo/000000014439.jpg
null:null

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@@ -0,0 +1,24 @@
===========================serving_infer_python_params===========================
model_name:ppyolo_mbv3_large_coco
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_large_coco.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --export_serving_model True -o
quant_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/quant/ppyolo_mbv3_large_qat.yml --export_serving_model True -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/prune/ppyolo_mbv3_large_prune_fpgm.yml --export_serving_model True -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/post_quant/ppyolo_mbv3_large_ptq.yml --export_serving_model True -o
##
infer_mode:norm
infer_quant:False
web_service:deploy/serving/python/web_service.py --config=deploy/serving/python/config.yml
--model_dir:null
--opt:cpu:op.ppdet.local_service_conf.device_type=0|gpu:op.ppdet.local_service_conf.device_type=1
null:null
http_client:deploy/serving/python/pipeline_http_client.py
--image_file:./demo/000000014439.jpg
null:null

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@@ -0,0 +1,60 @@
===========================train_params===========================
model_name:ppyolo_mbv3_large_coco
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=405
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=24
pretrain_weights:https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_large_coco.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
filename:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml -o
pact_train:tools/train.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/quant/ppyolo_mbv3_large_qat.yml -o
fpgm_train:tools/train.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/prune/ppyolo_mbv3_large_prune_fpgm.yml -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_large_coco.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml -o
pact_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/quant/ppyolo_mbv3_large_qat.yml -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/prune/ppyolo_mbv3_large_prune_fpgm.yml -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/post_quant/ppyolo_mbv3_large_ptq.yml -o
##
infer_mode:norm|kl_quant
infer_quant:False|True
inference:./deploy/python/infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
null:null
===========================disable_train_benchmark==========================
batch_size:24
fp_items:fp32|fp16
epoch:1
repeat:10
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
flags:null
===========================infer_benchmark_params===========================
numpy_infer_input:3x320x320.npy

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@@ -0,0 +1,53 @@
===========================train_params===========================
model_name:ppyolo_mbv3_large_coco
python:python3.7
gpu_list:192.168.0.1,192.168.0.2;0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=405
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=24
pretrain_weights:https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_large_coco.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
filename:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml -o
pact_train:tools/train.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/quant/ppyolo_mbv3_large_qat.yml -o
fpgm_train:tools/train.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/prune/ppyolo_mbv3_large_prune_fpgm.yml -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_large_coco.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml -o
pact_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/quant/ppyolo_mbv3_large_qat.yml -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/prune/ppyolo_mbv3_large_prune_fpgm.yml -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/post_quant/ppyolo_mbv3_large_ptq.yml -o
##
infer_mode:norm
infer_quant:False
inference:./deploy/python/infer.py
--device:cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
null:null
===========================infer_benchmark_params===========================
numpy_infer_input:3x320x320.npy

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@@ -0,0 +1,51 @@
===========================train_params===========================
model_name:ppyolo_mbv3_large_coco
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:amp
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=405
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=24
pretrain_weights:https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_large_coco.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
null:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml -o
pact_train:tools/train.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/quant/ppyolo_mbv3_large_qat.yml -o
fpgm_train:tools/train.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/prune/ppyolo_mbv3_large_prune_fpgm.yml -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_large_coco.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml -o
pact_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/quant/ppyolo_mbv3_large_qat.yml -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/prune/ppyolo_mbv3_large_prune_fpgm.yml -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/ppyolo/ppyolo_mbv3_large_coco.yml --slim_config configs/slim/post_quant/ppyolo_mbv3_large_ptq.yml -o
##
infer_mode:norm
infer_quant:False
inference:./deploy/python/infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
--trt_max_shape:1600

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