ComView/datasets/train/labels/many-buttons-and-switches-control-panel-C5MKXN_jpg.rf.e8443fca3103a2da8f57a6812e72fcb0.txt

1 0.4387019230769231 0.14182692307692307 0.055288461538461536 0.07451923076923077
1 0.515625 0.14423076923076922 0.04447115384615385 0.07091346153846154
1 0.59375 0.14423076923076922 0.04807692307692308 0.06490384615384616
1 0.17427884615384615 0.3245192307692308 0.04326923076923077 0.0673076923076923
1 0.4387019230769231 0.3269230769230769 0.042067307692307696 0.056490384615384616
1 0.6983173076923077 0.32572115384615385 0.038461538461538464 0.056490384615384616
1 0.8064903846153846 0.3245192307692308 0.040865384615384616 0.06129807692307692
1 0.9086538461538461 0.32572115384615385 0.04326923076923077 0.056490384615384616
1 0.5120192307692307 0.8569711538461539 0.051682692307692304 0.06850961538461539
0 0.12860576923076922 0.3233173076923077 0.036057692307692304 0.052884615384615384
0 0.23317307692307693 0.3269230769230769 0.038461538461538464 0.06009615384615385
0 0.2800480769230769 0.3233173076923077 0.037259615384615384 0.04807692307692308
0 0.33533653846153844 0.32572115384615385 0.038461538461538464 0.05048076923076923
0 0.38341346153846156 0.3233173076923077 0.03365384615384615 0.05048076923076923
0 0.4879807692307692 0.32211538461538464 0.038461538461538464 0.054086538461538464
0 0.5456730769230769 0.32572115384615385 0.040865384615384616 0.056490384615384616
0 0.6502403846153846 0.3245192307692308 0.037259615384615384 0.055288461538461536
1 0.5949519230769231 0.32572115384615385 0.040865384615384616 0.056490384615384616
0 0.7584134615384616 0.3245192307692308 0.042067307692307696 0.05889423076923077
0 0.8629807692307693 0.3245192307692308 0.042067307692307696 0.05889423076923077
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 0.4387019230769231 0.14182692307692307 0.055288461538461536 0.07451923076923077`
			`1 0.515625 0.14423076923076922 0.04447115384615385 0.07091346153846154`
			`1 0.59375 0.14423076923076922 0.04807692307692308 0.06490384615384616`
			`1 0.17427884615384615 0.3245192307692308 0.04326923076923077 0.0673076923076923`
			`1 0.4387019230769231 0.3269230769230769 0.042067307692307696 0.056490384615384616`
			`1 0.6983173076923077 0.32572115384615385 0.038461538461538464 0.056490384615384616`
			`1 0.8064903846153846 0.3245192307692308 0.040865384615384616 0.06129807692307692`
			`1 0.9086538461538461 0.32572115384615385 0.04326923076923077 0.056490384615384616`
			`1 0.5120192307692307 0.8569711538461539 0.051682692307692304 0.06850961538461539`
			`0 0.12860576923076922 0.3233173076923077 0.036057692307692304 0.052884615384615384`
			`0 0.23317307692307693 0.3269230769230769 0.038461538461538464 0.06009615384615385`
			`0 0.2800480769230769 0.3233173076923077 0.037259615384615384 0.04807692307692308`
			`0 0.33533653846153844 0.32572115384615385 0.038461538461538464 0.05048076923076923`
			`0 0.38341346153846156 0.3233173076923077 0.03365384615384615 0.05048076923076923`
			`0 0.4879807692307692 0.32211538461538464 0.038461538461538464 0.054086538461538464`
			`0 0.5456730769230769 0.32572115384615385 0.040865384615384616 0.056490384615384616`
			`0 0.6502403846153846 0.3245192307692308 0.037259615384615384 0.055288461538461536`
			`1 0.5949519230769231 0.32572115384615385 0.040865384615384616 0.056490384615384616`
			`0 0.7584134615384616 0.3245192307692308 0.042067307692307696 0.05889423076923077`
			`0 0.8629807692307693 0.3245192307692308 0.042067307692307696 0.05889423076923077`