基于瑞芯微RK3588 NPU的NanoTrack跟踪算法,可运行于RK3588开发板,可达120FPS.
numpy
opencv
rknn_toolkit_lite2 == 1.3
RKNN3588对应的rknn_toolkit_lite2官方开发库以及开发文档请参考rknn-toolkit2
模型转换需先使用rknn-toolkit2转为.rknn格式
python3 main.py
- video_name 为目标视频地址
- init_rect 为初始检测bbox
This project forked from try2changex/nanotrack_rk3588_python
python版本基于rk3588的NanoTrack,每秒可达120FPS
基于瑞芯微RK3588 NPU的NanoTrack跟踪算法,可运行于RK3588开发板,可达120FPS.
numpy
opencv
rknn_toolkit_lite2 == 1.3
RKNN3588对应的rknn_toolkit_lite2官方开发库以及开发文档请参考rknn-toolkit2
模型转换需先使用rknn-toolkit2转为.rknn格式
python3 main.py
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