ComView/datasets/train/labels/img1_jpg.rf.8fd17362e8ce247ce9f57e889cf21916.txt

1 0.16346153846153846 0.1310096153846154 0.16947115384615385 0.14783653846153846
1 0.8677884615384616 0.4987980769230769 0.1502403846153846 0.13942307692307693
0 0.33774038461538464 0.12259615384615384 0.11177884615384616 0.11899038461538461
0 0.6911057692307693 0.12740384615384615 0.10817307692307693 0.11899038461538461
0 0.6899038461538461 0.30288461538461536 0.09735576923076923 0.09495192307692307
0 0.6875 0.4951923076923077 0.11298076923076923 0.1141826923076923
0 0.6682692307692307 0.8918269230769231 0.10817307692307693 0.1310096153846154
0 0.8629807692307693 0.8942307692307693 0.1502403846153846 0.1502403846153846
0 0.49759615384615385 0.8774038461538461 0.10576923076923077 0.10576923076923077
0 0.28966346153846156 0.6850961538461539 0.1201923076923077 0.12620192307692307
0 0.09134615384615384 0.6850961538461539 0.11778846153846154 0.12740384615384615
0 0.09975961538461539 0.8822115384615384 0.12620192307692307 0.1201923076923077
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 0.16346153846153846 0.1310096153846154 0.16947115384615385 0.14783653846153846`
			`1 0.8677884615384616 0.4987980769230769 0.1502403846153846 0.13942307692307693`
			`0 0.33774038461538464 0.12259615384615384 0.11177884615384616 0.11899038461538461`
			`0 0.6911057692307693 0.12740384615384615 0.10817307692307693 0.11899038461538461`
			`0 0.6899038461538461 0.30288461538461536 0.09735576923076923 0.09495192307692307`
			`0 0.6875 0.4951923076923077 0.11298076923076923 0.1141826923076923`
			`0 0.6682692307692307 0.8918269230769231 0.10817307692307693 0.1310096153846154`
			`0 0.8629807692307693 0.8942307692307693 0.1502403846153846 0.1502403846153846`
			`0 0.49759615384615385 0.8774038461538461 0.10576923076923077 0.10576923076923077`
			`0 0.28966346153846156 0.6850961538461539 0.1201923076923077 0.12620192307692307`
			`0 0.09134615384615384 0.6850961538461539 0.11778846153846154 0.12740384615384615`
			`0 0.09975961538461539 0.8822115384615384 0.12620192307692307 0.1201923076923077`