ComView/datasets/train/labels/img8_jpg.rf.601fa35147ab0947cceb42f4f97c50a1.txt

1 0.1622596153846154 0.1310096153846154 0.11778846153846154 0.11899038461538461
1 0.8569711538461539 0.12259615384615384 0.10697115384615384 0.1045673076923077
1 0.8497596153846154 0.49759615384615385 0.1141826923076923 0.12379807692307693
1 0.6742788461538461 0.4987980769230769 0.12620192307692307 0.13341346153846154
0 0.34375 0.13701923076923078 0.11778846153846154 0.12259615384615384
0 0.6838942307692307 0.13822115384615385 0.10576923076923077 0.12860576923076922
0 0.6766826923076923 0.3137019230769231 0.11778846153846154 0.12860576923076922
0 0.2932692307692308 0.6899038461538461 0.12740384615384615 0.12620192307692307
0 0.109375 0.6887019230769231 0.13341346153846154 0.12379807692307693
0 0.10817307692307693 0.8810096153846154 0.12379807692307693 0.11298076923076923
0 0.49399038461538464 0.8822115384615384 0.12259615384615384 0.12379807692307693
0 0.6646634615384616 0.8942307692307693 0.13221153846153846 0.14182692307692307
0 0.8509615384615384 0.8990384615384616 0.1346153846153846 0.14182692307692307
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 0.1622596153846154 0.1310096153846154 0.11778846153846154 0.11899038461538461`
			`1 0.8569711538461539 0.12259615384615384 0.10697115384615384 0.1045673076923077`
			`1 0.8497596153846154 0.49759615384615385 0.1141826923076923 0.12379807692307693`
			`1 0.6742788461538461 0.4987980769230769 0.12620192307692307 0.13341346153846154`
			`0 0.34375 0.13701923076923078 0.11778846153846154 0.12259615384615384`
			`0 0.6838942307692307 0.13822115384615385 0.10576923076923077 0.12860576923076922`
			`0 0.6766826923076923 0.3137019230769231 0.11778846153846154 0.12860576923076922`
			`0 0.2932692307692308 0.6899038461538461 0.12740384615384615 0.12620192307692307`
			`0 0.109375 0.6887019230769231 0.13341346153846154 0.12379807692307693`
			`0 0.10817307692307693 0.8810096153846154 0.12379807692307693 0.11298076923076923`
			`0 0.49399038461538464 0.8822115384615384 0.12259615384615384 0.12379807692307693`
			`0 0.6646634615384616 0.8942307692307693 0.13221153846153846 0.14182692307692307`
			`0 0.8509615384615384 0.8990384615384616 0.1346153846153846 0.14182692307692307`