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66f059b65b
* add GPL lisence * add GPL-3.0 lisence * add GPL-3.0 lisence * add GPL-3.0 lisence * support yolov8 * add pybind for yolov8 * add yolov8 readme * add cpp benchmark * add cpu and gpu mem * public part split * add runtime mode * fixed bugs * add cpu_thread_nums * deal with comments * deal with comments * deal with comments * rm useless code * add FASTDEPLOY_DECL * add FASTDEPLOY_DECL * fixed for windows * mv rss to pss * mv rss to pss * Update utils.cc --------- Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
33 lines
1.9 KiB
Bash
Executable File
33 lines
1.9 KiB
Bash
Executable File
echo "[FastDeploy] Running Yolo benchmark..."
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num_of_models=$(ls -d yolo_model/* | wc -l)
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counter=1
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for model in $(ls -d yolo_model/* )
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do
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echo "[Benchmark-Yolo] ${counter}/${num_of_models} $model ..."
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python benchmark_yolo.py --model $model --image 000000014439.jpg --cpu_num_thread 8 --iter_num 1000 --backend paddle --enable_collect_memory_info True
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python benchmark_yolo.py --model $model --image 000000014439.jpg --cpu_num_thread 8 --iter_num 1000 --backend ort --enable_collect_memory_info True
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python benchmark_yolo.py --model $model --image 000000014439.jpg --cpu_num_thread 8 --iter_num 1000 --backend ov --enable_collect_memory_info True
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python benchmark_yolo.py --model $model --image 000000014439.jpg --device gpu --iter_num 1000 --backend ort --enable_collect_memory_info True
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python benchmark_yolo.py --model $model --image 000000014439.jpg --device gpu --iter_num 1000 --backend paddle --enable_collect_memory_info True
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python benchmark_yolo.py --model $model --image 000000014439.jpg --device gpu --iter_num 1000 --backend paddle_trt --enable_collect_memory_info True
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python benchmark_yolo.py --model $model --image 000000014439.jpg --device gpu --iter_num 1000 --backend paddle_trt --enable_trt_fp16 True --enable_collect_memory_info True
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python benchmark_yolo.py --model $model --image 000000014439.jpg --device gpu --iter_num 1000 --backend trt --enable_collect_memory_info True
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python benchmark_yolo.py --model $model --image 000000014439.jpg --device gpu --iter_num 1000 --backend trt --enable_trt_fp16 True --enable_collect_memory_info True
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counter=$(($counter+1))
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step=$(( $counter % 1 ))
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if [ $step = 0 ]
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then
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wait
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fi
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done
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wait
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rm -rf result_yolo.txt
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touch result_yolo.txt
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cat yolo_model/*.txt >> ./result_yolo.txt
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python convert_info.py --txt_path result_yolo.txt --domain yolo --enable_collect_memory_info True
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