ComView/datasets/train/labels/control_panel3_jpg.rf.9badd978ed8e66f0e757369a9b226b16.txt

1 0.4170673076923077 0.359375 0.10576923076923077 0.1778846153846154
0 0.0889423076923077 0.7596153846153846 0.09975961538461539 0.16706730769230768
0 0.2536057692307692 0.7608173076923077 0.09375 0.17067307692307693
0 0.41346153846153844 0.7584134615384616 0.09375 0.17908653846153846
0 0.5805288461538461 0.7608173076923077 0.09134615384615384 0.1778846153846154
0 0.7415865384615384 0.7644230769230769 0.0985576923076923 0.18028846153846154
0 0.9098557692307693 0.7548076923076923 0.09375 0.17908653846153846
0 0.7427884615384616 0.35336538461538464 0.09375 0.16346153846153846
0 0.5829326923076923 0.35697115384615385 0.09495192307692307 0.17067307692307693
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 0.4170673076923077 0.359375 0.10576923076923077 0.1778846153846154`
			`0 0.0889423076923077 0.7596153846153846 0.09975961538461539 0.16706730769230768`
			`0 0.2536057692307692 0.7608173076923077 0.09375 0.17067307692307693`
			`0 0.41346153846153844 0.7584134615384616 0.09375 0.17908653846153846`
			`0 0.5805288461538461 0.7608173076923077 0.09134615384615384 0.1778846153846154`
			`0 0.7415865384615384 0.7644230769230769 0.0985576923076923 0.18028846153846154`
			`0 0.9098557692307693 0.7548076923076923 0.09375 0.17908653846153846`
			`0 0.7427884615384616 0.35336538461538464 0.09375 0.16346153846153846`
			`0 0.5829326923076923 0.35697115384615385 0.09495192307692307 0.17067307692307693`