ComView/datasets/train/labels/control_panel6_jpg.rf.6bdfd43323b6a11fa0f34c98b7f1ff89.txt

1 0.41586538461538464 0.359375 0.0985576923076923 0.16706730769230768
1 0.5769230769230769 0.359375 0.09975961538461539 0.1814903846153846
1 0.4110576923076923 0.7596153846153846 0.09975961538461539 0.18870192307692307
1 0.578125 0.7584134615384616 0.109375 0.19110576923076922
0 0.7403846153846154 0.35096153846153844 0.08413461538461539 0.15384615384615385
0 0.7463942307692307 0.7704326923076923 0.08173076923076923 0.16466346153846154
0 0.9002403846153846 0.7584134615384616 0.09975961538461539 0.16826923076923078
0 0.2512019230769231 0.7620192307692307 0.09014423076923077 0.16826923076923078
0 0.08173076923076923 0.765625 0.09134615384615384 0.16466346153846154
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 0.41586538461538464 0.359375 0.0985576923076923 0.16706730769230768`
			`1 0.5769230769230769 0.359375 0.09975961538461539 0.1814903846153846`
			`1 0.4110576923076923 0.7596153846153846 0.09975961538461539 0.18870192307692307`
			`1 0.578125 0.7584134615384616 0.109375 0.19110576923076922`
			`0 0.7403846153846154 0.35096153846153844 0.08413461538461539 0.15384615384615385`
			`0 0.7463942307692307 0.7704326923076923 0.08173076923076923 0.16466346153846154`
			`0 0.9002403846153846 0.7584134615384616 0.09975961538461539 0.16826923076923078`
			`0 0.2512019230769231 0.7620192307692307 0.09014423076923077 0.16826923076923078`
			`0 0.08173076923076923 0.765625 0.09134615384615384 0.16466346153846154`