ComView/datasets/train/labels/KakaoTalk_20220803_174606378_jpg.rf.df9531beae1dee7e64440e45600005ad.txt

2 0.41947115384615385 0.21995192307692307 0.140625 0.10576923076923077
2 0.6358173076923077 0.22956730769230768 0.12980769230769232 0.11177884615384616
0 0.45072115384615385 0.49759615384615385 0.052884615384615384 0.042067307692307696
0 0.5805288461538461 0.4987980769230769 0.04807692307692308 0.040865384615384616
0 0.45072115384615385 0.5745192307692307 0.04807692307692308 0.038461538461538464
0 0.5769230769230769 0.578125 0.04447115384615385 0.042067307692307696
0 0.4495192307692308 0.6502403846153846 0.04807692307692308 0.038461538461538464
0 0.5697115384615384 0.6538461538461539 0.04807692307692308 0.037259615384615384
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			`2 0.41947115384615385 0.21995192307692307 0.140625 0.10576923076923077`
			`2 0.6358173076923077 0.22956730769230768 0.12980769230769232 0.11177884615384616`
			`0 0.45072115384615385 0.49759615384615385 0.052884615384615384 0.042067307692307696`
			`0 0.5805288461538461 0.4987980769230769 0.04807692307692308 0.040865384615384616`
			`0 0.45072115384615385 0.5745192307692307 0.04807692307692308 0.038461538461538464`
			`0 0.5769230769230769 0.578125 0.04447115384615385 0.042067307692307696`
			`0 0.4495192307692308 0.6502403846153846 0.04807692307692308 0.038461538461538464`
			`0 0.5697115384615384 0.6538461538461539 0.04807692307692308 0.037259615384615384`