Yolov5:在TensorFlow2中高效实现YOLOV5

上传者: 42123456 | 上传时间: 2021-09-24 10:18:55 | 文件大小: 970KB | 文件类型: ZIP
约洛夫5 由TensorFlow2实现的YoloV5,支持培训,评估和推断。 目前尚不完善的项目,但我会继续改进,因此您可能希望观看/加注此仓库以进行重新访问。 任何贡献都受到高度欢迎 主要特征 纯tensorflow2最小Yolov5 yaml文件配置模型 定制数据培训 镶嵌数据扩充 通过锚的iou或wh比编码标签 阳性样本增加 多GPU训练 详细的代码注释 充满弊端,还有巨大的改进空间 用法 克隆和安装要求 $ git clone git@github.com:LongxingTan/Yolov5.git $ cd Yolov5/ $ pip install -r requirements.txt 下载VOC $ bash data/scripts/get_voc.sh $ cd yolo $ python dataset/prepare_data.py 火车 $ python

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