ComView/datasets/train/labels/many-buttons-and-switches-control-panel-in-a-machine-EDPGFD_jpg.rf.98f264ea9288e9efc15b895cf8ca14f6.txt

2 0.0889423076923077 0.19110576923076922 0.10697115384615384 0.14903846153846154
2 0.30528846153846156 0.19230769230769232 0.109375 0.1466346153846154
2 0.45913461538461536 0.19110576923076922 0.11538461538461539 0.15384615384615385
2 0.6177884615384616 0.19230769230769232 0.1141826923076923 0.15384615384615385
2 0.7740384615384616 0.19230769230769232 0.1141826923076923 0.15144230769230768
1 0.35096153846153844 0.35096153846153844 0.06129807692307692 0.06370192307692307
1 0.6129807692307693 0.34975961538461536 0.06009615384615385 0.0625
1 0.35336538461538464 0.6129807692307693 0.06129807692307692 0.07572115384615384
1 0.6129807692307693 0.6141826923076923 0.056490384615384616 0.06610576923076923
0 0.038461538461538464 0.35216346153846156 0.051682692307692304 0.06370192307692307
0 0.03485576923076923 0.46153846153846156 0.046875 0.06370192307692307
0 0.036057692307692304 0.6189903846153846 0.05048076923076923 0.06850961538461539
0 0.037259615384615384 0.7331730769230769 0.04326923076923077 0.0625
0 0.11778846153846154 0.7295673076923077 0.046875 0.06610576923076923
0 0.2704326923076923 0.7319711538461539 0.056490384615384616 0.06370192307692307
0 0.35336538461538464 0.7295673076923077 0.051682692307692304 0.06009615384615385
0 0.43990384615384615 0.7319711538461539 0.051682692307692304 0.06009615384615385
0 0.4387019230769231 0.6069711538461539 0.055288461538461536 0.0673076923076923
0 0.35336538461538464 0.4651442307692308 0.054086538461538464 0.057692307692307696
0 0.4326923076923077 0.4639423076923077 0.052884615384615384 0.057692307692307696
0 0.4362980769230769 0.35216346153846156 0.054086538461538464 0.06129807692307692
0 0.5204326923076923 0.3485576923076923 0.056490384615384616 0.0625
0 0.5228365384615384 0.46634615384615385 0.04927884615384615 0.06009615384615385
0 0.5216346153846154 0.6129807692307693 0.051682692307692304 0.06971153846153846
0 0.5228365384615384 0.7307692307692307 0.052884615384615384 0.06009615384615385
0 0.6177884615384616 0.7271634615384616 0.04807692307692308 0.06009615384615385
0 0.6165865384615384 0.4639423076923077 0.04567307692307692 0.055288461538461536
0 0.7007211538461539 0.35096153846153844 0.04927884615384615 0.0625
0 0.6971153846153846 0.4651442307692308 0.04567307692307692 0.06370192307692307
0 0.6995192307692307 0.6141826923076923 0.051682692307692304 0.06610576923076923
0 0.6983173076923077 0.7307692307692307 0.04567307692307692 0.056490384615384616
0 0.7848557692307693 0.7307692307692307 0.04447115384615385 0.056490384615384616
0 0.7848557692307693 0.6129807692307693 0.052884615384615384 0.0673076923076923
0 0.7848557692307693 0.4651442307692308 0.04927884615384615 0.0625
0 0.7860576923076923 0.3485576923076923 0.04927884615384615 0.057692307692307696
0 0.9158653846153846 0.38822115384615385 0.055288461538461536 0.06610576923076923
0 0.8762019230769231 0.5024038461538461 0.04807692307692308 0.06610576923076923
0 0.8786057692307693 0.6153846153846154 0.04567307692307692 0.0625
0 0.8786057692307693 0.7319711538461539 0.04567307692307692 0.06610576923076923
0 0.9603365384615384 0.7319711538461539 0.046875 0.0625
0 0.9615384615384616 0.6165865384615384 0.05048076923076923 0.06129807692307692
0 0.9615384615384616 0.5024038461538461 0.051682692307692304 0.06610576923076923
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 0.0889423076923077 0.19110576923076922 0.10697115384615384 0.14903846153846154`
			`2 0.30528846153846156 0.19230769230769232 0.109375 0.1466346153846154`
			`2 0.45913461538461536 0.19110576923076922 0.11538461538461539 0.15384615384615385`
			`2 0.6177884615384616 0.19230769230769232 0.1141826923076923 0.15384615384615385`
			`2 0.7740384615384616 0.19230769230769232 0.1141826923076923 0.15144230769230768`
			`1 0.35096153846153844 0.35096153846153844 0.06129807692307692 0.06370192307692307`
			`1 0.6129807692307693 0.34975961538461536 0.06009615384615385 0.0625`
			`1 0.35336538461538464 0.6129807692307693 0.06129807692307692 0.07572115384615384`
			`1 0.6129807692307693 0.6141826923076923 0.056490384615384616 0.06610576923076923`
			`0 0.038461538461538464 0.35216346153846156 0.051682692307692304 0.06370192307692307`
			`0 0.03485576923076923 0.46153846153846156 0.046875 0.06370192307692307`
			`0 0.036057692307692304 0.6189903846153846 0.05048076923076923 0.06850961538461539`
			`0 0.037259615384615384 0.7331730769230769 0.04326923076923077 0.0625`
			`0 0.11778846153846154 0.7295673076923077 0.046875 0.06610576923076923`
			`0 0.2704326923076923 0.7319711538461539 0.056490384615384616 0.06370192307692307`
			`0 0.35336538461538464 0.7295673076923077 0.051682692307692304 0.06009615384615385`
			`0 0.43990384615384615 0.7319711538461539 0.051682692307692304 0.06009615384615385`
			`0 0.4387019230769231 0.6069711538461539 0.055288461538461536 0.0673076923076923`
			`0 0.35336538461538464 0.4651442307692308 0.054086538461538464 0.057692307692307696`
			`0 0.4326923076923077 0.4639423076923077 0.052884615384615384 0.057692307692307696`
			`0 0.4362980769230769 0.35216346153846156 0.054086538461538464 0.06129807692307692`
			`0 0.5204326923076923 0.3485576923076923 0.056490384615384616 0.0625`
			`0 0.5228365384615384 0.46634615384615385 0.04927884615384615 0.06009615384615385`
			`0 0.5216346153846154 0.6129807692307693 0.051682692307692304 0.06971153846153846`
			`0 0.5228365384615384 0.7307692307692307 0.052884615384615384 0.06009615384615385`
			`0 0.6177884615384616 0.7271634615384616 0.04807692307692308 0.06009615384615385`
			`0 0.6165865384615384 0.4639423076923077 0.04567307692307692 0.055288461538461536`
			`0 0.7007211538461539 0.35096153846153844 0.04927884615384615 0.0625`
			`0 0.6971153846153846 0.4651442307692308 0.04567307692307692 0.06370192307692307`
			`0 0.6995192307692307 0.6141826923076923 0.051682692307692304 0.06610576923076923`
			`0 0.6983173076923077 0.7307692307692307 0.04567307692307692 0.056490384615384616`
			`0 0.7848557692307693 0.7307692307692307 0.04447115384615385 0.056490384615384616`
			`0 0.7848557692307693 0.6129807692307693 0.052884615384615384 0.0673076923076923`
			`0 0.7848557692307693 0.4651442307692308 0.04927884615384615 0.0625`
			`0 0.7860576923076923 0.3485576923076923 0.04927884615384615 0.057692307692307696`
			`0 0.9158653846153846 0.38822115384615385 0.055288461538461536 0.06610576923076923`
			`0 0.8762019230769231 0.5024038461538461 0.04807692307692308 0.06610576923076923`
			`0 0.8786057692307693 0.6153846153846154 0.04567307692307692 0.0625`
			`0 0.8786057692307693 0.7319711538461539 0.04567307692307692 0.06610576923076923`
			`0 0.9603365384615384 0.7319711538461539 0.046875 0.0625`
			`0 0.9615384615384616 0.6165865384615384 0.05048076923076923 0.06129807692307692`
			`0 0.9615384615384616 0.5024038461538461 0.051682692307692304 0.06610576923076923`