ComView/datasets/train/labels/img17_jpg.rf.7d8a45cd67c5e77aef6ec4529ea18e3b.txt

1 0.3713942307692308 0.20673076923076922 0.10697115384615384 0.16947115384615385
1 0.9242788461538461 0.203125 0.09375 0.15745192307692307
0 0.5625 0.20673076923076922 0.08774038461538461 0.1502403846153846
0 0.7463942307692307 0.19831730769230768 0.0985576923076923 0.15384615384615385
0 0.375 0.6550480769230769 0.09014423076923077 0.15865384615384615
0 0.5649038461538461 0.6538461538461539 0.09254807692307693 0.15745192307692307
0 0.7475961538461539 0.6358173076923077 0.0985576923076923 0.16826923076923078
0 0.9266826923076923 0.6274038461538461 0.09375 0.15865384615384615
feat(datasets): 添加新的训练数据标签 - 在 datasets/train/labels 目录下新增了多个标签文件 - 文件命名格式为：视频ID-帧序号.jpg.rf.哈希值.txt -标签内容包括物体类别和位置信息，用于训练目标检测模型 2025-05-29 11:59:57 +00:00			`1 0.3713942307692308 0.20673076923076922 0.10697115384615384 0.16947115384615385`
			`1 0.9242788461538461 0.203125 0.09375 0.15745192307692307`
			`0 0.5625 0.20673076923076922 0.08774038461538461 0.1502403846153846`
			`0 0.7463942307692307 0.19831730769230768 0.0985576923076923 0.15384615384615385`
			`0 0.375 0.6550480769230769 0.09014423076923077 0.15865384615384615`
			`0 0.5649038461538461 0.6538461538461539 0.09254807692307693 0.15745192307692307`
			`0 0.7475961538461539 0.6358173076923077 0.0985576923076923 0.16826923076923078`
			`0 0.9266826923076923 0.6274038461538461 0.09375 0.15865384615384615`