ComView/datasets/train/labels/img3_jpg.rf.d680721c34f6284551a93fbab6692f30.txt

1 0.14302884615384615 0.12860576923076922 0.14182692307692307 0.12139423076923077
1 0.6826923076923077 0.48677884615384615 0.13822115384615385 0.12620192307692307
1 0.8701923076923077 0.4735576923076923 0.12620192307692307 0.0889423076923077
1 0.8713942307692307 0.12139423076923077 0.11057692307692307 0.1141826923076923
0 0.33413461538461536 0.13341346153846154 0.11899038461538461 0.125
0 0.6899038461538461 0.13221153846153846 0.125 0.11538461538461539
0 0.6766826923076923 0.30528846153846156 0.12980769230769232 0.12379807692307693
0 0.265625 0.6766826923076923 0.1141826923076923 0.10336538461538461
0 0.07091346153846154 0.6766826923076923 0.10216346153846154 0.10336538461538461
0 0.078125 0.8677884615384616 0.11298076923076923 0.10336538461538461
0 0.48197115384615385 0.8737980769230769 0.12259615384615384 0.11538461538461539
0 0.6622596153846154 0.8822115384615384 0.12259615384615384 0.12860576923076922
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 0.14302884615384615 0.12860576923076922 0.14182692307692307 0.12139423076923077`
			`1 0.6826923076923077 0.48677884615384615 0.13822115384615385 0.12620192307692307`
			`1 0.8701923076923077 0.4735576923076923 0.12620192307692307 0.0889423076923077`
			`1 0.8713942307692307 0.12139423076923077 0.11057692307692307 0.1141826923076923`
			`0 0.33413461538461536 0.13341346153846154 0.11899038461538461 0.125`
			`0 0.6899038461538461 0.13221153846153846 0.125 0.11538461538461539`
			`0 0.6766826923076923 0.30528846153846156 0.12980769230769232 0.12379807692307693`
			`0 0.265625 0.6766826923076923 0.1141826923076923 0.10336538461538461`
			`0 0.07091346153846154 0.6766826923076923 0.10216346153846154 0.10336538461538461`
			`0 0.078125 0.8677884615384616 0.11298076923076923 0.10336538461538461`
			`0 0.48197115384615385 0.8737980769230769 0.12259615384615384 0.11538461538461539`
			`0 0.6622596153846154 0.8822115384615384 0.12259615384615384 0.12860576923076922`