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使用OpenCV部署YOLOX,支持YOLOX-S、YOLOX-M、YOLOX-L、YOLOX-X、YOLOX-Darknet53五种结构,包含C++和Python两种版本的程序

C++ 51.26% Python 48.74%

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yolox-opencv-dnn

使用OpenCV部署YOLOX,支持YOLOX-S、YOLOX-M、YOLOX-L、YOLOX-X、YOLOX-Darknet53五种结构,包含C++和Python两种版本的程序

onnx文件在百度云盘,下载链接:https://pan.baidu.com/s/11UAVSPWbDKY_LmmoHlUQXw 提取码:147w

下载完成后,把文件放在代码文件所在目录里,就可以运行程序了。如果出现读取onnx文件失败, 那很有可能是你的opencv版本低了,需要升级到4.5以上的

在10月20日,我看了一下官方代码https://github.com/Megvii-BaseDetection/YOLOX 新版的在做推理时,预处理没有做BGR2RGB,除以255.0, 减均值除以方差这几步的。 因此如果用最新代码训练后生成onnx文件,然后用本仓库里的程序做推理时,需要注释掉“BGR2RGB, 除以255.0, 减均值除以方差这几步”

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