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person detect based on yolov3 with several Python scripts

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I would like to train YOLOv3 for detecting person only on Ubuntu 18.04 without GPU. But the following error message occurred. ./darknet detector train cfg/voc.data cfg/yolov3-voc.cfg ./darknet53.conv.74 -gpus 0,1 |...

[yolov3_train_loss_too_big.zip](https://github.com/pascal1129/yolo_person_detect/files/4043780/yolov3_train_loss_too_big.zip) I follows procedure described at the following link https://zhuanlan.zhihu.com/p/47196727. But training loss is too big. The command I use is "darknet detector train data\obj.data cfg\yolo-obj.cfg darknet53.conv.74". Could you help...

我想要在一个个人项目上使用行人检测,目前是在学习过程中,想多跑一些demo,因为没有太好的计算设备,所以希望能找到一个训练后的权重,想问下您是否方便提供呢?

请问一下在人这个类别的测试结果中,训练时只训练人这一个类别会比所有类别都训练要好吗