ComView/datasets/train/labels/trial0001_0012_jpg.rf.18890dd3ef6bbf9673505cbddec5399a.txt

1 0.41225961538461536 0.19831730769230768 0.06370192307692307 0.12980769230769232
1 0.49759615384615385 0.22716346153846154 0.06009615384615385 0.12740384615384615
1 0.5649038461538461 0.25 0.052884615384615384 0.09975961538461539
0 0.24278846153846154 0.5072115384615384 0.09134615384615384 0.14423076923076922
0 0.3641826923076923 0.5060096153846154 0.07451923076923077 0.12980769230769232
0 0.45552884615384615 0.5084134615384616 0.06610576923076923 0.1201923076923077
0 0.5336538461538461 0.5120192307692307 0.057692307692307696 0.12139423076923077
0 0.5973557692307693 0.5084134615384616 0.04927884615384615 0.11057692307692307
0 0.6478365384615384 0.5084134615384616 0.04567307692307692 0.09735576923076923
0 0.24278846153846154 0.7487980769230769 0.08653846153846154 0.1502403846153846
0 0.36658653846153844 0.7211538461538461 0.07451923076923077 0.13341346153846154
0 0.4579326923076923 0.7055288461538461 0.07091346153846154 0.12980769230769232
0 0.5348557692307693 0.6862980769230769 0.056490384615384616 0.11658653846153846
0 0.5961538461538461 0.6634615384615384 0.04807692307692308 0.10336538461538461
0 0.6490384615384616 0.6550480769230769 0.04807692307692308 0.10817307692307693
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 0.41225961538461536 0.19831730769230768 0.06370192307692307 0.12980769230769232`
			`1 0.49759615384615385 0.22716346153846154 0.06009615384615385 0.12740384615384615`
			`1 0.5649038461538461 0.25 0.052884615384615384 0.09975961538461539`
			`0 0.24278846153846154 0.5072115384615384 0.09134615384615384 0.14423076923076922`
			`0 0.3641826923076923 0.5060096153846154 0.07451923076923077 0.12980769230769232`
			`0 0.45552884615384615 0.5084134615384616 0.06610576923076923 0.1201923076923077`
			`0 0.5336538461538461 0.5120192307692307 0.057692307692307696 0.12139423076923077`
			`0 0.5973557692307693 0.5084134615384616 0.04927884615384615 0.11057692307692307`
			`0 0.6478365384615384 0.5084134615384616 0.04567307692307692 0.09735576923076923`
			`0 0.24278846153846154 0.7487980769230769 0.08653846153846154 0.1502403846153846`
			`0 0.36658653846153844 0.7211538461538461 0.07451923076923077 0.13341346153846154`
			`0 0.4579326923076923 0.7055288461538461 0.07091346153846154 0.12980769230769232`
			`0 0.5348557692307693 0.6862980769230769 0.056490384615384616 0.11658653846153846`
			`0 0.5961538461538461 0.6634615384615384 0.04807692307692308 0.10336538461538461`
			`0 0.6490384615384616 0.6550480769230769 0.04807692307692308 0.10817307692307693`