基于Faster R-CNN实现安防安全帽佩戴目标检测

上传者: xixixixixixixi21 | 上传时间: 2022-04-29 21:06:24 | 文件大小: 5.46MB | 文件类型: ZIP
关于数据 请参考YOLO-V3-Tensorflow 1. 训练模型前的准备 A.数据准备 数据的标注仍然采用VOC格式的数据标注形式,如果是其他的标注形式比如COCO请自行实现相关代码。将数据最终转化为如下形式: # 单行数据的结构: (path_filename, x1, y1, x2, y2, class_name) # Note: # 一个path_filename 可能对应多个类别(class_name),每个类别占用一行数据 # x1, y1, x2, y2 是原图像的坐标, 而不是ratio后图像上的坐标 # (x1, y1) 标注框的左上坐标; (x2, y2) 标注框的右下坐标 # x1,y1------------------- # | | # | | # | |

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