ComView/datasets/train/labels/control_panel8_jpg.rf.110dab63384d06cab6608912f01f0089.txt

1 0.41346153846153844 0.36177884615384615 0.10817307692307693 0.17427884615384615
1 0.5757211538461539 0.36177884615384615 0.109375 0.17908653846153846
1 0.4110576923076923 0.7620192307692307 0.11177884615384616 0.1935096153846154
1 0.7379807692307693 0.7704326923076923 0.11778846153846154 0.19471153846153846
0 0.0889423076923077 0.7632211538461539 0.10096153846153846 0.16826923076923078
0 0.25 0.7608173076923077 0.10096153846153846 0.17908653846153846
0 0.578125 0.7692307692307693 0.109375 0.18509615384615385
0 0.7367788461538461 0.36658653846153844 0.0985576923076923 0.17307692307692307
0 0.9074519230769231 0.7584134615384616 0.09495192307692307 0.171875
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 0.41346153846153844 0.36177884615384615 0.10817307692307693 0.17427884615384615`
			`1 0.5757211538461539 0.36177884615384615 0.109375 0.17908653846153846`
			`1 0.4110576923076923 0.7620192307692307 0.11177884615384616 0.1935096153846154`
			`1 0.7379807692307693 0.7704326923076923 0.11778846153846154 0.19471153846153846`
			`0 0.0889423076923077 0.7632211538461539 0.10096153846153846 0.16826923076923078`
			`0 0.25 0.7608173076923077 0.10096153846153846 0.17908653846153846`
			`0 0.578125 0.7692307692307693 0.109375 0.18509615384615385`
			`0 0.7367788461538461 0.36658653846153844 0.0985576923076923 0.17307692307692307`
			`0 0.9074519230769231 0.7584134615384616 0.09495192307692307 0.171875`