efficientnet-yolo3-pytorch:这是一个有效的网络-yolo3-pytorch的原始码,将yolov3的主干特征提取网络修改成为有效的网络

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YOLOV3:只看一次目标检测模型在Pytorch当中的实现-替换高效网络主干网络 2021年2月8日更新:加入letterbox_image的选项,关闭letterbox_image后网络的地图得到大幅度提升。 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 行动计划0.5:0.95 行动计划0.5 挥发性有机化合物07 + 12 VOC-Test07 416x416 -- 78.9 所需环境 火炬== 1.2.0 文件下载 训练所需的efficiencynet-b2-yolov3的权重可以在百度云下载。链接: : 提取码:hiuq其他版本的efficiencynet的权重可以将YoloBody(Config,phi = phi,load_weights = False)的load_weights参数设置成True,从而获得。 预测步骤 a,使用预训练权

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