ComView/datasets/train/labels/fig1_jpg.rf.2871a757f125af75630001f9b4db59e8.txt

1 0.1875 0.5372596153846154 0.08173076923076923 0.1201923076923077
1 0.6274038461538461 0.5336538461538461 0.09014423076923077 0.11298076923076923
0 0.27524038461538464 0.2704326923076923 0.0889423076923077 0.1201923076923077
0 0.36658653846153844 0.5336538461538461 0.0829326923076923 0.10817307692307693
0 0.1875 0.7932692307692307 0.07572115384615384 0.1141826923076923
0 0.36899038461538464 0.796875 0.078125 0.11057692307692307
0 0.6310096153846154 0.7980769230769231 0.07932692307692307 0.10697115384615384
0 0.8125 0.7920673076923077 0.078125 0.1045673076923077
0 0.8112980769230769 0.53125 0.08774038461538461 0.11298076923076923
0 0.7163461538461539 0.27163461538461536 0.09014423076923077 0.1141826923076923
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 0.1875 0.5372596153846154 0.08173076923076923 0.1201923076923077`
			`1 0.6274038461538461 0.5336538461538461 0.09014423076923077 0.11298076923076923`
			`0 0.27524038461538464 0.2704326923076923 0.0889423076923077 0.1201923076923077`
			`0 0.36658653846153844 0.5336538461538461 0.0829326923076923 0.10817307692307693`
			`0 0.1875 0.7932692307692307 0.07572115384615384 0.1141826923076923`
			`0 0.36899038461538464 0.796875 0.078125 0.11057692307692307`
			`0 0.6310096153846154 0.7980769230769231 0.07932692307692307 0.10697115384615384`
			`0 0.8125 0.7920673076923077 0.078125 0.1045673076923077`
			`0 0.8112980769230769 0.53125 0.08774038461538461 0.11298076923076923`
			`0 0.7163461538461539 0.27163461538461536 0.09014423076923077 0.1141826923076923`