ComView/datasets/test/labels/trial00001_0007_jpg.rf.9fd7890d66ef72bee4add4da96ffa797.txt

1 0.36177884615384615 0.14903846153846154 0.09735576923076923 0.16947115384615385
1 0.4951923076923077 0.14302884615384615 0.0829326923076923 0.15144230769230768
1 0.6262019230769231 0.14543269230769232 0.08774038461538461 0.16105769230769232
1 0.5600961538461539 0.4987980769230769 0.09014423076923077 0.15625
1 0.171875 0.7295673076923077 0.09134615384615384 0.15264423076923078
0 0.17307692307692307 0.5084134615384616 0.08413461538461539 0.13341346153846154
0 0.29927884615384615 0.5036057692307693 0.08774038461538461 0.14302884615384615
0 0.4230769230769231 0.5036057692307693 0.07932692307692307 0.13942307692307693
0 0.3016826923076923 0.7355769230769231 0.0829326923076923 0.13581730769230768
0 0.43028846153846156 0.7331730769230769 0.08173076923076923 0.14182692307692307
0 0.5625 0.7355769230769231 0.078125 0.14783653846153846
0 0.6947115384615384 0.5012019230769231 0.08533653846153846 0.14903846153846154
0 0.8257211538461539 0.5012019230769231 0.09375 0.15144230769230768
0 0.6935096153846154 0.7355769230769231 0.08653846153846154 0.14783653846153846
0 0.8305288461538461 0.7415865384615384 0.0889423076923077 0.15264423076923078
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 0.36177884615384615 0.14903846153846154 0.09735576923076923 0.16947115384615385`
			`1 0.4951923076923077 0.14302884615384615 0.0829326923076923 0.15144230769230768`
			`1 0.6262019230769231 0.14543269230769232 0.08774038461538461 0.16105769230769232`
			`1 0.5600961538461539 0.4987980769230769 0.09014423076923077 0.15625`
			`1 0.171875 0.7295673076923077 0.09134615384615384 0.15264423076923078`
			`0 0.17307692307692307 0.5084134615384616 0.08413461538461539 0.13341346153846154`
			`0 0.29927884615384615 0.5036057692307693 0.08774038461538461 0.14302884615384615`
			`0 0.4230769230769231 0.5036057692307693 0.07932692307692307 0.13942307692307693`
			`0 0.3016826923076923 0.7355769230769231 0.0829326923076923 0.13581730769230768`
			`0 0.43028846153846156 0.7331730769230769 0.08173076923076923 0.14182692307692307`
			`0 0.5625 0.7355769230769231 0.078125 0.14783653846153846`
			`0 0.6947115384615384 0.5012019230769231 0.08533653846153846 0.14903846153846154`
			`0 0.8257211538461539 0.5012019230769231 0.09375 0.15144230769230768`
			`0 0.6935096153846154 0.7355769230769231 0.08653846153846154 0.14783653846153846`
			`0 0.8305288461538461 0.7415865384615384 0.0889423076923077 0.15264423076923078`