mobilenet-yolov4-lite-pytorch:这是一个mobilenet-yolov4-lite的库,把yolov4主干网络修改成了mobilenet,修改了Panet的卷积组成,使参数量大幅度缩小

上传者: 42115003 | 上传时间: 2021-08-17 10:30:04 | 文件大小: 5.32MB | 文件类型: ZIP
YOLOV4:You Only Look Once目标检测模型-修改mobilenet系列主干网络-在pytorch当中的实现 2021年2月8日更新: 加入letterbox_image的选项,关闭letterbox_image后网络的map一般可以得到提升。 目录 性能情况 训练数据集 权值文件名称 测试数据集 输入图片大小 mAP 0.5:0.95 mAP 0.5 VOC07+12 VOC-Test07 416x416 - 79.72 VOC07+12 VOC-Test07 416x416 - 80.12 VOC07+12 VOC-Test07 416x416 - 79.01 所需环境 torch==1.2.0 注意事项 提供的三个权重分别是基于mobilenetv1、mobilenetv2、mobilenetv3主干网络训练而成的。使用的时候注意backbone和权重的对应。 训练

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