DocumentAIKit/benchmark/README.md

通用检测benchmark测试脚本说明

├── benchmark
│   ├── analysis_log.py
│   ├── prepare.sh
│   ├── README.md
│   ├── run_all.sh
│   ├── run_benchmark.sh

脚本说明

prepare.sh

相关数据准备脚本，完成数据、模型的自动下载

run_all.sh

主要运行脚本，可完成所有相关模型的测试方案

run_benchmark.sh

单模型运行脚本，可完成指定模型的测试方案

Docker 运行环境

• docker image: registry.baidubce.com/paddlepaddle/paddle:2.1.2-gpu-cuda10.2-cudnn7
• paddle = 2.1.2
• python = 3.7

运行benchmark测试

运行所有模型

git clone https://github.com/PaddlePaddle/PaddleDetection.git
cd PaddleDetection
bash benchmark/run_all.sh

运行指定模型

• Usage：bash run_benchmark.sh ${run_mode} ${batch_size} ${fp_item} ${max_epoch} ${model_name}
• model_name: faster_rcnn, fcos, deformable_detr, gfl, hrnet, higherhrnet, solov2, jde, fairmot ``` git clone https://github.com/PaddlePaddle/PaddleDetection.git cd PaddleDetection bash benchmark/prepare.sh

单卡

CUDA_VISIBLE_DEVICES=0 bash benchmark/run_benchmark.sh sp 2 fp32 1 faster_rcnn

多卡

CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 bash benchmark/run_benchmark.sh mp 2 fp32 1 faster_rcnn ```