ComView/datasets/train/labels/img12_jpg.rf.0bb5341276c1f27157775cd88e76156f.txt

1 0.23677884615384615 0.18389423076923078 0.09495192307692307 0.16346153846153846
1 0.6009615384615384 0.1778846153846154 0.0889423076923077 0.15625
0 0.42908653846153844 0.18028846153846154 0.08413461538461539 0.1466346153846154
0 0.7764423076923077 0.1814903846153846 0.09134615384615384 0.1502403846153846
0 0.7884615384615384 0.5925480769230769 0.08052884615384616 0.14182692307692307
0 0.6117788461538461 0.6045673076923077 0.078125 0.13701923076923078
0 0.43509615384615385 0.6189903846153846 0.08533653846153846 0.13221153846153846
0 0.2403846153846154 0.6322115384615384 0.07692307692307693 0.13221153846153846
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 0.23677884615384615 0.18389423076923078 0.09495192307692307 0.16346153846153846`
			`1 0.6009615384615384 0.1778846153846154 0.0889423076923077 0.15625`
			`0 0.42908653846153844 0.18028846153846154 0.08413461538461539 0.1466346153846154`
			`0 0.7764423076923077 0.1814903846153846 0.09134615384615384 0.1502403846153846`
			`0 0.7884615384615384 0.5925480769230769 0.08052884615384616 0.14182692307692307`
			`0 0.6117788461538461 0.6045673076923077 0.078125 0.13701923076923078`
			`0 0.43509615384615385 0.6189903846153846 0.08533653846153846 0.13221153846153846`
			`0 0.2403846153846154 0.6322115384615384 0.07692307692307693 0.13221153846153846`