ComView/datasets/train/labels/img1_jpg.rf.523c069c7210fd5feeb66f990a293f23.txt

1 0.16105769230769232 0.11899038461538461 0.10697115384615384 0.11658653846153846
1 0.8701923076923077 0.49278846153846156 0.11658653846153846 0.11538461538461539
0 0.35096153846153844 0.12980769230769232 0.125 0.12740384615384615
0 0.6935096153846154 0.12740384615384615 0.11057692307692307 0.11057692307692307
0 0.6850961538461539 0.29927884615384615 0.10697115384615384 0.10576923076923077
0 0.6875 0.4951923076923077 0.10817307692307693 0.11298076923076923
0 0.0985576923076923 0.6790865384615384 0.12980769230769232 0.13221153846153846
0 0.28125 0.6838942307692307 0.12379807692307693 0.12139423076923077
0 0.10336538461538461 0.8762019230769231 0.12259615384615384 0.12740384615384615
0 0.49278846153846156 0.8774038461538461 0.11658653846153846 0.125
0 0.6742788461538461 0.8942307692307693 0.12379807692307693 0.13701923076923078
0 0.8677884615384616 0.8954326923076923 0.14423076923076922 0.15144230769230768
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 0.16105769230769232 0.11899038461538461 0.10697115384615384 0.11658653846153846`
			`1 0.8701923076923077 0.49278846153846156 0.11658653846153846 0.11538461538461539`
			`0 0.35096153846153844 0.12980769230769232 0.125 0.12740384615384615`
			`0 0.6935096153846154 0.12740384615384615 0.11057692307692307 0.11057692307692307`
			`0 0.6850961538461539 0.29927884615384615 0.10697115384615384 0.10576923076923077`
			`0 0.6875 0.4951923076923077 0.10817307692307693 0.11298076923076923`
			`0 0.0985576923076923 0.6790865384615384 0.12980769230769232 0.13221153846153846`
			`0 0.28125 0.6838942307692307 0.12379807692307693 0.12139423076923077`
			`0 0.10336538461538461 0.8762019230769231 0.12259615384615384 0.12740384615384615`
			`0 0.49278846153846156 0.8774038461538461 0.11658653846153846 0.125`
			`0 0.6742788461538461 0.8942307692307693 0.12379807692307693 0.13701923076923078`
			`0 0.8677884615384616 0.8954326923076923 0.14423076923076922 0.15144230769230768`