ComView/datasets/train/labels/KakaoTalk_20220803_174606378_01_jpg.rf.cc6510f107c9826b21e86a4089f07ca6.txt

0 0.44711538461538464 0.4375 0.05048076923076923 0.042067307692307696
0 0.5817307692307693 0.4483173076923077 0.05048076923076923 0.04326923076923077
0 0.44471153846153844 0.5288461538461539 0.04447115384615385 0.036057692307692304
0 0.43990384615384615 0.6141826923076923 0.040865384615384616 0.038461538461538464
0 0.5709134615384616 0.6177884615384616 0.04567307692307692 0.04326923076923077
0 0.5769230769230769 0.53125 0.04567307692307692 0.039663461538461536
2 0.6358173076923077 0.15865384615384615 0.13822115384615385 0.12259615384615384
2 0.4206730769230769 0.15504807692307693 0.14182692307692307 0.11298076923076923
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			`0 0.44711538461538464 0.4375 0.05048076923076923 0.042067307692307696`
			`0 0.5817307692307693 0.4483173076923077 0.05048076923076923 0.04326923076923077`
			`0 0.44471153846153844 0.5288461538461539 0.04447115384615385 0.036057692307692304`
			`0 0.43990384615384615 0.6141826923076923 0.040865384615384616 0.038461538461538464`
			`0 0.5709134615384616 0.6177884615384616 0.04567307692307692 0.04326923076923077`
			`0 0.5769230769230769 0.53125 0.04567307692307692 0.039663461538461536`
			`2 0.6358173076923077 0.15865384615384615 0.13822115384615385 0.12259615384615384`
			`2 0.4206730769230769 0.15504807692307693 0.14182692307692307 0.11298076923076923`