ComView/datasets/train/labels/trial01_0038_jpg.rf.45642e90b2fe935c160a0315d79b731f.txt

1 0.4579326923076923 0.3954326923076923 0.1466346153846154 0.234375
1 0.625 0.35336538461538464 0.15384615384615385 0.23798076923076922
1 0.6658653846153846 0.7163461538461539 0.15985576923076922 0.2512019230769231
1 0.49759615384615385 0.7752403846153846 0.15384615384615385 0.27163461538461536
0 0.47596153846153844 0.5841346153846154 0.042067307692307696 0.07211538461538461
0 0.5288461538461539 0.5697115384615384 0.038461538461538464 0.06971153846153846
0 0.5865384615384616 0.5504807692307693 0.038461538461538464 0.07211538461538461
0 0.640625 0.53125 0.042067307692307696 0.07451923076923077
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 0.4579326923076923 0.3954326923076923 0.1466346153846154 0.234375`
			`1 0.625 0.35336538461538464 0.15384615384615385 0.23798076923076922`
			`1 0.6658653846153846 0.7163461538461539 0.15985576923076922 0.2512019230769231`
			`1 0.49759615384615385 0.7752403846153846 0.15384615384615385 0.27163461538461536`
			`0 0.47596153846153844 0.5841346153846154 0.042067307692307696 0.07211538461538461`
			`0 0.5288461538461539 0.5697115384615384 0.038461538461538464 0.06971153846153846`
			`0 0.5865384615384616 0.5504807692307693 0.038461538461538464 0.07211538461538461`
			`0 0.640625 0.53125 0.042067307692307696 0.07451923076923077`