YoloV4:pytorch，tensorflow和onnx中的Yolo v4
Yolo v4用于pytorch，tensorflow渴望模式和onnx（通过Trident api）
感谢
所有预先准备好的模型权重和cfg均来自官方网站：
还要感谢Ultralytics的项目，它确实很棒而且很有帮助。
yolo v4的搜索结果
让我们看看有关yolo v4（pytorch后端）的出色性能！！
更新（5/3）：增强小物品
在yolo v4中，缺少缺少对小物件的检测的缺点。 我试图解决短缺问题。 我发现解决此问题的最佳方法是在stride = 8 Yolo Layer（76 * 76）中修改对象
您所需要做的就是设置YoloLayer small_item_enhance = True（仅效果76 * 76 head）
for module in detector.model.modules():
if isinstance(module,Yolo
文件下载
资源详情
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本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二条之规定，若资源存在侵权或相关问题请联系本站客服人员，zhiweidada#qq.com，请把#换成@，本站将给予最大的支持与配合，做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明