ComView/datasets/train/labels/control_panel9_jpg.rf.3b30051d9dc99efe143163e141267ca2.txt

1 0.4182692307692308 0.35697115384615385 0.10817307692307693 0.17548076923076922
1 0.7439903846153846 0.3581730769230769 0.10336538461538461 0.171875
0 0.09014423076923077 0.7487980769230769 0.1045673076923077 0.16466346153846154
0 0.2548076923076923 0.7512019230769231 0.09975961538461539 0.17307692307692307
0 0.41225961538461536 0.7560096153846154 0.09975961538461539 0.18990384615384615
0 0.5853365384615384 0.3581730769230769 0.0985576923076923 0.1778846153846154
0 0.5853365384615384 0.7584134615384616 0.10096153846153846 0.1875
0 0.7439903846153846 0.7572115384615384 0.0985576923076923 0.1875
0 0.9086538461538461 0.7487980769230769 0.1045673076923077 0.18990384615384615
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 0.4182692307692308 0.35697115384615385 0.10817307692307693 0.17548076923076922`
			`1 0.7439903846153846 0.3581730769230769 0.10336538461538461 0.171875`
			`0 0.09014423076923077 0.7487980769230769 0.1045673076923077 0.16466346153846154`
			`0 0.2548076923076923 0.7512019230769231 0.09975961538461539 0.17307692307692307`
			`0 0.41225961538461536 0.7560096153846154 0.09975961538461539 0.18990384615384615`
			`0 0.5853365384615384 0.3581730769230769 0.0985576923076923 0.1778846153846154`
			`0 0.5853365384615384 0.7584134615384616 0.10096153846153846 0.1875`
			`0 0.7439903846153846 0.7572115384615384 0.0985576923076923 0.1875`
			`0 0.9086538461538461 0.7487980769230769 0.1045673076923077 0.18990384615384615`