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Sorry! demo.py is only example, you should train your training data by using yolov5 or yolov4 or yolov3 etc. The accuracy and performance are all decided by model structure. You maybe modify yolov5 model structure to speed up. In fact, I found the performance is poor in yolov5, I'm trying to modify it. Waiting for good news!
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发件人: "Jay Meng"<notifications@github.com>;
发送时间: 2020年7月6日(星期一) 下午5:16
收件人: "avBuffer/Yolov5_tf"<Yolov5_tf@noreply.github.com>;
抄送: "调得一手好参"<928343544@qq.com>; "Author"<author@noreply.github.com>;
主题: Re: [avBuffer/Yolov5_tf] performance (#1)
Sorry! demo.py is only example, you should train your training data by using yolov5 or yolov4 or yolov3 etc. The accuracy and performance are all decided by model structure. You maybe modify yolov5 model structure to speed up. In fact, I found the performance is poor in yolov5, I'm trying to modify it. Waiting for good news!
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I use demo.py to detect a image,but its performace is bad.
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