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更换文档检测模型

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liuyebo
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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53
paddle_detection/test_tipc/configs/ppyolo/ppyolo_mbv3_large_coco_FPGM_train_infer_python.txt Normal file
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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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paddle_detection/test_tipc/configs/ppyolo/ppyolo_mbv3_large_coco_KL_model_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt Normal file
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===========================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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paddle_detection/test_tipc/configs/ppyolo/ppyolo_mbv3_large_coco_KL_model_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt Normal file
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===========================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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paddle_detection/test_tipc/configs/ppyolo/ppyolo_mbv3_large_coco_KL_model_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt Normal file
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===========================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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paddle_detection/test_tipc/configs/ppyolo/ppyolo_mbv3_large_coco_PACT_model_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt Normal file
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===========================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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paddle_detection/test_tipc/configs/ppyolo/ppyolo_mbv3_large_coco_PACT_model_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt Normal file
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===========================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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paddle_detection/test_tipc/configs/ppyolo/ppyolo_mbv3_large_coco_PACT_model_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt Normal file
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===========================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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paddle_detection/test_tipc/configs/ppyolo/ppyolo_mbv3_large_coco_model_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt Normal file
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===========================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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paddle_detection/test_tipc/configs/ppyolo/ppyolo_mbv3_large_coco_model_linux_gpu_normal_normal_paddle2onnx_python_linux_cpu.txt Normal file
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===========================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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paddle_detection/test_tipc/configs/ppyolo/ppyolo_mbv3_large_coco_model_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt Normal file
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===========================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

24
paddle_detection/test_tipc/configs/ppyolo/ppyolo_mbv3_large_coco_model_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt Normal file
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===========================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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paddle_detection/test_tipc/configs/ppyolo/ppyolo_mbv3_large_coco_train_infer_python.txt Normal file
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===========================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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paddle_detection/test_tipc/configs/ppyolo/ppyolo_mbv3_large_coco_train_linux_gpu_fleet_normal_infer_python_linux_gpu_cpu.txt Normal file
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===========================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

51
paddle_detection/test_tipc/configs/ppyolo/ppyolo_mbv3_large_coco_train_linux_gpu_normal_amp_infer_python_linux_gpu_cpu.txt Normal file
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===========================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

51
paddle_detection/test_tipc/configs/ppyolo/ppyolo_mbv3_large_coco_train_pact_infer_python.txt Normal file
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===========================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:pact_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/yolov3_mobilenet_v3_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: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

20
paddle_detection/test_tipc/configs/ppyolo/ppyolo_mbv3_large_coco_train_ptq_infer_python.txt Normal file
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===========================ptq_params===========================
model_name:ppyolo_mbv3_large_coco
python:python3.7
filename:
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_large_coco.pdparams
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
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

53
paddle_detection/test_tipc/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco_FPGM_train_infer_python.txt Normal file
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@@ -0,0 +1,53 @@
===========================train_params===========================
model_name:ppyolo_r50vd_dcn_1x_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_r50vd_dcn_1x_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_r50vd_dcn_1x_coco.yml -o
pact_train:tools/train.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/quant/ppyolo_r50vd_qat_pact.yml -o
fpgm_train:tools/train.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/prune/ppyolo_r50vd_prune_fpgm.yml -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o
pact_export:tools/export_model.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/quant/ppyolo_r50vd_qat_pact.yml -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/prune/ppyolo_r50vd_prune_fpgm.yml -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/post_quant/ppyolo_r50vd_dcn_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:3x608x608.npy

53
paddle_detection/test_tipc/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco_KL_train_infer_python.txt Normal file
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===========================train_params===========================
model_name:ppyolo_r50vd_dcn_1x_coco_KL
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_r50vd_dcn_1x_coco.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
filename:null
##
trainer:null
norm_train:tools/train.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o
pact_train:tools/train.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/quant/ppyolo_r50vd_qat_pact.yml -o
fpgm_train:tools/train.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/prune/ppyolo_r50vd_prune_fpgm.yml -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o
pact_export:tools/export_model.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/quant/ppyolo_r50vd_qat_pact.yml -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/prune/ppyolo_r50vd_prune_fpgm.yml -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/post_quant/ppyolo_r50vd_dcn_ptq.yml -o
##
infer_mode:kl_quant
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
null:null
===========================infer_benchmark_params===========================
numpy_infer_input:3x608x608.npy

53
paddle_detection/test_tipc/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco_PACT_train_infer_python.txt Normal file
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===========================train_params===========================
model_name:ppyolo_r50vd_dcn_1x_coco_PACT
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_r50vd_dcn_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/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o
pact_train:tools/train.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/quant/ppyolo_r50vd_qat_pact.yml -o
fpgm_train:tools/train.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/prune/ppyolo_r50vd_prune_fpgm.yml -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o
pact_export:tools/export_model.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/quant/ppyolo_r50vd_qat_pact.yml -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/prune/ppyolo_r50vd_prune_fpgm.yml -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/post_quant/ppyolo_r50vd_dcn_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
null:null
===========================infer_benchmark_params===========================
numpy_infer_input:3x608x608.npy

29
paddle_detection/test_tipc/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco_model_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt Normal file
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@@ -0,0 +1,29 @@
===========================cpp_infer_params===========================
model_name:ppyolo_r50vd_dcn_1x_coco
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o
quant_export:tools/export_model.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/quant/ppyolo_r50vd_qat_pact.yml -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/prune/ppyolo_r50vd_prune_fpgm.yml -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/post_quant/ppyolo_r50vd_dcn_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

30
paddle_detection/test_tipc/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco_model_linux_gpu_normal_normal_paddle2onnx_python_linux_cpu.txt Normal file
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@@ -0,0 +1,30 @@
===========================paddle2onnx_params===========================
model_name:ppyolo_r50vd_dcn_1x_coco
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o
quant_export:tools/export_model.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/quant/ppyolo_r50vd_qat_pact.yml -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/prune/ppyolo_r50vd_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_r50vd_dcn_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

24
paddle_detection/test_tipc/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco_model_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt Normal file
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@@ -0,0 +1,24 @@
===========================serving_infer_python_params===========================
model_name:ppyolo_r50vd_dcn_1x_coco
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --export_serving_model True -o
quant_export:tools/export_model.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/quant/ppyolo_r50vd_qat_pact.yml --export_serving_model True -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/prune/ppyolo_r50vd_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_r50vd_dcn_1x_coco.yml --slim_config configs/slim/post_quant/ppyolo_r50vd_dcn_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

60
paddle_detection/test_tipc/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco_train_infer_python.txt Normal file
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@@ -0,0 +1,60 @@
===========================train_params===========================
model_name:ppyolo_r50vd_dcn_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=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_r50vd_dcn_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/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o
pact_train:tools/train.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/quant/ppyolo_r50vd_qat_pact.yml -o
fpgm_train:tools/train.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/prune/ppyolo_r50vd_prune_fpgm.yml -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o
pact_export:tools/export_model.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/quant/ppyolo_r50vd_qat_pact.yml -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/prune/ppyolo_r50vd_prune_fpgm.yml -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/post_quant/ppyolo_r50vd_dcn_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:3x608x608.npy

53
paddle_detection/test_tipc/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco_train_linux_gpu_fleet_normal_infer_python_linux_gpu_cpu.txt Normal file
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===========================train_params===========================
model_name:ppyolo_r50vd_dcn_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=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_r50vd_dcn_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/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o
pact_train:tools/train.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/quant/ppyolo_r50vd_qat_pact.yml -o
fpgm_train:tools/train.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/prune/ppyolo_r50vd_prune_fpgm.yml -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o
pact_export:tools/export_model.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/quant/ppyolo_r50vd_qat_pact.yml -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/prune/ppyolo_r50vd_prune_fpgm.yml -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/post_quant/ppyolo_r50vd_dcn_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:3x608x608.npy

51
paddle_detection/test_tipc/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco_train_linux_gpu_normal_amp_infer_python_linux_gpu_cpu.txt Normal file
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===========================train_params===========================
model_name:ppyolo_r50vd_dcn_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=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_r50vd_dcn_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/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o
pact_train:tools/train.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/quant/ppyolo_r50vd_qat_pact.yml -o
fpgm_train:tools/train.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/prune/ppyolo_r50vd_prune_fpgm.yml -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o
pact_export:tools/export_model.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/quant/ppyolo_r50vd_qat_pact.yml -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/prune/ppyolo_r50vd_prune_fpgm.yml -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/post_quant/ppyolo_r50vd_dcn_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

51
paddle_detection/test_tipc/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco_train_pact_infer_python.txt Normal file
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===========================train_params===========================
model_name:ppyolo_r50vd_dcn_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=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_r50vd_dcn_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/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o
pact_train:tools/train.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/quant/yolov3_mobilenet_v3_qat.yml -o
fpgm_train:tools/train.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/prune/ppyolo_r50vd_prune_fpgm.yml -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o
pact_export:tools/export_model.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/quant/yolov3_mobilenet_v3_qat.yml -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/prune/ppyolo_r50vd_prune_fpgm.yml -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml --slim_config configs/slim/post_quant/ppyolo_r50vd_dcn_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

20
paddle_detection/test_tipc/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco_train_ptq_infer_python.txt Normal file
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@@ -0,0 +1,20 @@
===========================ptq_params===========================
model_name:ppyolo_r50vd_dcn_1x_coco
python:python3.7
filename:
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams
kl_quant_export:tools/post_quant.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_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

29
paddle_detection/test_tipc/configs/ppyolo/ppyolo_tiny_650e_coco_model_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt Normal file
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@@ -0,0 +1,29 @@
===========================cpp_infer_params===========================
model_name:ppyolo_tiny_650e_coco
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolo_tiny_650e_coco.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolo_tiny_650e_coco.yml -o
quant_export:tools/export_model.py -c configs/ppyolo/ppyolo_tiny_650e_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolo_tiny_650e_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/ppyolo/ppyolo_tiny_650e_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

30
paddle_detection/test_tipc/configs/ppyolo/ppyolo_tiny_650e_coco_model_linux_gpu_normal_normal_paddle2onnx_python_linux_cpu.txt Normal file
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@@ -0,0 +1,30 @@
===========================paddle2onnx_params===========================
model_name:ppyolo_tiny_650e_coco
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolo_tiny_650e_coco.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolo_tiny_650e_coco.yml -o
quant_export:tools/export_model.py -c configs/ppyolo/ppyolo_tiny_650e_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolo_tiny_650e_coco.yml --slim_config _template_fpgm -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 _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

24
paddle_detection/test_tipc/configs/ppyolo/ppyolo_tiny_650e_coco_model_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt Normal file
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@@ -0,0 +1,24 @@
===========================serving_infer_python_params===========================
model_name:ppyolo_tiny_650e_coco
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolo_tiny_650e_coco.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolo_tiny_650e_coco.yml --export_serving_model True -o
quant_export:tools/export_model.py -c configs/ppyolo/ppyolo_tiny_650e_coco.yml --slim_config _template_pact --export_serving_model True -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolo_tiny_650e_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/ppyolo/ppyolo_tiny_650e_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

60
paddle_detection/test_tipc/configs/ppyolo/ppyolo_tiny_650e_coco_train_infer_python.txt Normal file
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@@ -0,0 +1,60 @@
===========================train_params===========================
model_name:ppyolo_tiny_650e_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=650
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=32
pretrain_weights:https://paddledet.bj.bcebos.com/models/ppyolo_tiny_650e_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_tiny_650e_coco.yml -o
pact_train:tools/train.py -c configs/ppyolo/ppyolo_tiny_650e_coco.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/ppyolo/ppyolo_tiny_650e_coco.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/ppyolo/ppyolo_tiny_650e_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolo_tiny_650e_coco.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolo_tiny_650e_coco.yml -o
pact_export:tools/export_model.py -c configs/ppyolo/ppyolo_tiny_650e_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolo_tiny_650e_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/ppyolo/ppyolo_tiny_650e_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
null:null
===========================disable_train_benchmark==========================
batch_size:32
fp_items:fp32|fp16
epoch:1
repeat:12
--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

53
paddle_detection/test_tipc/configs/ppyolo/ppyolo_tiny_650e_coco_train_linux_gpu_fleet_normal_infer_python_linux_gpu_cpu.txt Normal file
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@@ -0,0 +1,53 @@
===========================train_params===========================
model_name:ppyolo_tiny_650e_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=650
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=32
pretrain_weights:https://paddledet.bj.bcebos.com/models/ppyolo_tiny_650e_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_tiny_650e_coco.yml -o
pact_train:tools/train.py -c configs/ppyolo/ppyolo_tiny_650e_coco.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/ppyolo/ppyolo_tiny_650e_coco.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/ppyolo/ppyolo_tiny_650e_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolo_tiny_650e_coco.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolo_tiny_650e_coco.yml -o
pact_export:tools/export_model.py -c configs/ppyolo/ppyolo_tiny_650e_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolo_tiny_650e_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/ppyolo/ppyolo_tiny_650e_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|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

51
paddle_detection/test_tipc/configs/ppyolo/ppyolo_tiny_650e_coco_train_linux_gpu_normal_amp_infer_python_linux_gpu_cpu.txt Normal file
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@@ -0,0 +1,51 @@
===========================train_params===========================
model_name:ppyolo_tiny_650e_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=650
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=32
pretrain_weights:https://paddledet.bj.bcebos.com/models/ppyolo_tiny_650e_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_tiny_650e_coco.yml -o
pact_train:tools/train.py -c configs/ppyolo/ppyolo_tiny_650e_coco.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/ppyolo/ppyolo_tiny_650e_coco.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/ppyolo/ppyolo_tiny_650e_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolo_tiny_650e_coco.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolo_tiny_650e_coco.yml -o
pact_export:tools/export_model.py -c configs/ppyolo/ppyolo_tiny_650e_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolo_tiny_650e_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/ppyolo/ppyolo_tiny_650e_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:ppyolo_tiny_650e_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=650
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=32
pretrain_weights:https://paddledet.bj.bcebos.com/models/ppyolo_tiny_650e_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/ppyolo/ppyolo_tiny_650e_coco.yml -o
pact_train:tools/train.py -c configs/ppyolo/ppyolo_tiny_650e_coco.yml --slim_config configs/slim/quant/yolov3_mobilenet_v3_qat.yml -o
fpgm_train:tools/train.py -c configs/ppyolo/ppyolo_tiny_650e_coco.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/ppyolo/ppyolo_tiny_650e_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolo_tiny_650e_coco.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolo_tiny_650e_coco.yml -o
pact_export:tools/export_model.py -c configs/ppyolo/ppyolo_tiny_650e_coco.yml --slim_config configs/slim/quant/yolov3_mobilenet_v3_qat.yml -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolo_tiny_650e_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/ppyolo/ppyolo_tiny_650e_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

20
paddle_detection/test_tipc/configs/ppyolo/ppyolo_tiny_650e_coco_train_ptq_infer_python.txt Normal file
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===========================ptq_params===========================
model_name:ppyolo_tiny_650e_coco
python:python3.7
filename:
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolo_tiny_650e_coco.pdparams
kl_quant_export:tools/post_quant.py -c configs/ppyolo/ppyolo_tiny_650e_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

29
paddle_detection/test_tipc/configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco_model_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt Normal file
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===========================cpp_infer_params===========================
model_name:ppyolov2_r50vd_dcn_365e_coco
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolov2_r50vd_dcn_365e_coco.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml -o
quant_export:tools/export_model.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_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

30
paddle_detection/test_tipc/configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco_model_linux_gpu_normal_normal_paddle2onnx_python_linux_cpu.txt Normal file
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===========================paddle2onnx_params===========================
model_name:ppyolov2_r50vd_dcn_365e_coco
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolov2_r50vd_dcn_365e_coco.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml -o
quant_export:tools/export_model.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml --slim_config _template_fpgm -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 _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

24
paddle_detection/test_tipc/configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco_model_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt Normal file
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@@ -0,0 +1,24 @@
===========================serving_infer_python_params===========================
model_name:ppyolov2_r50vd_dcn_365e_coco
python:python3.7
filename:null
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolov2_r50vd_dcn_365e_coco.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml --export_serving_model True -o
quant_export:tools/export_model.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml --slim_config _template_pact --export_serving_model True -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_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/ppyolo/ppyolov2_r50vd_dcn_365e_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

60
paddle_detection/test_tipc/configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco_train_infer_python.txt Normal file
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===========================train_params===========================
model_name:ppyolov2_r50vd_dcn_365e_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=365
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=12
pretrain_weights:https://paddledet.bj.bcebos.com/models/ppyolov2_r50vd_dcn_365e_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/ppyolov2_r50vd_dcn_365e_coco.yml -o
pact_train:tools/train.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolov2_r50vd_dcn_365e_coco.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml -o
pact_export:tools/export_model.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_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
null:null
===========================train_benchmark_params==========================
batch_size:12
fp_items:fp32|fp16
epoch:1
repeat:5
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
flags:null
===========================infer_benchmark_params===========================
numpy_infer_input:3x640x640.npy

53
paddle_detection/test_tipc/configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco_train_linux_gpu_fleet_normal_infer_python_linux_gpu_cpu.txt Normal file
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===========================train_params===========================
model_name:ppyolov2_r50vd_dcn_365e_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=365
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=12
pretrain_weights:https://paddledet.bj.bcebos.com/models/ppyolov2_r50vd_dcn_365e_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/ppyolov2_r50vd_dcn_365e_coco.yml -o
pact_train:tools/train.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolov2_r50vd_dcn_365e_coco.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml -o
pact_export:tools/export_model.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_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|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:3x640x640.npy

51
paddle_detection/test_tipc/configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco_train_linux_gpu_normal_amp_infer_python_linux_gpu_cpu.txt Normal file
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===========================train_params===========================
model_name:ppyolov2_r50vd_dcn_365e_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=365
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=12
pretrain_weights:https://paddledet.bj.bcebos.com/models/ppyolov2_r50vd_dcn_365e_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/ppyolov2_r50vd_dcn_365e_coco.yml -o
pact_train:tools/train.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml --slim_config _template_pact -o
fpgm_train:tools/train.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolov2_r50vd_dcn_365e_coco.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml -o
pact_export:tools/export_model.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml --slim_config _template_pact -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_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

51
paddle_detection/test_tipc/configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco_train_pact_infer_python.txt Normal file
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@@ -0,0 +1,51 @@
===========================train_params===========================
model_name:ppyolov2_r50vd_dcn_365e_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=365
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=12
pretrain_weights:https://paddledet.bj.bcebos.com/models/ppyolov2_r50vd_dcn_365e_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/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml -o
pact_train:tools/train.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml --slim_config configs/slim/quant/yolov3_mobilenet_v3_qat.yml -o
fpgm_train:tools/train.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml --slim_config _template_fpgm -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolov2_r50vd_dcn_365e_coco.pdparams
norm_export:tools/export_model.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml -o
pact_export:tools/export_model.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml --slim_config configs/slim/quant/yolov3_mobilenet_v3_qat.yml -o
fpgm_export:tools/export_model.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml --slim_config _template_fpgm -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_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

20
paddle_detection/test_tipc/configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco_train_ptq_infer_python.txt Normal file
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@@ -0,0 +1,20 @@
===========================ptq_params===========================
model_name:ppyolov2_r50vd_dcn_365e_coco
python:python3.7
filename:
##
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/ppyolov2_r50vd_dcn_365e_coco.pdparams
kl_quant_export:tools/post_quant.py -c configs/ppyolo/ppyolov2_r50vd_dcn_365e_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