48 lines
1.3 KiB
Markdown
48 lines
1.3 KiB
Markdown
# 通用检测benchmark测试脚本说明
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```
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├── benchmark
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│ ├── analysis_log.py
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│ ├── prepare.sh
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│ ├── README.md
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│ ├── run_all.sh
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│ ├── run_benchmark.sh
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```
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## 脚本说明
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### prepare.sh
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相关数据准备脚本，完成数据、模型的自动下载
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### run_all.sh
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主要运行脚本，可完成所有相关模型的测试方案
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### run_benchmark.sh
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单模型运行脚本，可完成指定模型的测试方案
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## Docker 运行环境
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* docker image: registry.baidubce.com/paddlepaddle/paddle:2.1.2-gpu-cuda10.2-cudnn7
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* paddle = 2.1.2
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* python = 3.7
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## 运行benchmark测试
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### 运行所有模型
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```
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git clone https://github.com/PaddlePaddle/PaddleDetection.git
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cd PaddleDetection
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bash benchmark/run_all.sh
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```
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### 运行指定模型
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* Usage：bash run_benchmark.sh ${run_mode} ${batch_size} ${fp_item} ${max_epoch} ${model_name}
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* model_name: faster_rcnn, fcos, deformable_detr, gfl, hrnet, higherhrnet, solov2, jde, fairmot
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```
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git clone https://github.com/PaddlePaddle/PaddleDetection.git
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cd PaddleDetection
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bash benchmark/prepare.sh
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# 单卡
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CUDA_VISIBLE_DEVICES=0 bash benchmark/run_benchmark.sh sp 2 fp32 1 faster_rcnn
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# 多卡
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CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 bash benchmark/run_benchmark.sh mp 2 fp32 1 faster_rcnn
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```
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