ComView/datasets/train/labels/control_panel5_jpg.rf.e156907a994f9a74348d0ba01244aa0a.txt

1 0.41586538461538464 0.35697115384615385 0.10096153846153846 0.18870192307692307
1 0.5793269230769231 0.3557692307692308 0.10576923076923077 0.19951923076923078
1 0.2536057692307692 0.7608173076923077 0.10817307692307693 0.18509615384615385
1 0.41225961538461536 0.75 0.109375 0.18990384615384615
1 0.5769230769230769 0.7524038461538461 0.11177884615384616 0.19230769230769232
1 0.7367788461538461 0.7560096153846154 0.11658653846153846 0.19110576923076922
0 0.0829326923076923 0.7560096153846154 0.0829326923076923 0.15144230769230768
0 0.7463942307692307 0.35216346153846156 0.08413461538461539 0.15985576923076922
0 0.9098557692307693 0.7512019230769231 0.09615384615384616 0.1658653846153846
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 0.41586538461538464 0.35697115384615385 0.10096153846153846 0.18870192307692307`
			`1 0.5793269230769231 0.3557692307692308 0.10576923076923077 0.19951923076923078`
			`1 0.2536057692307692 0.7608173076923077 0.10817307692307693 0.18509615384615385`
			`1 0.41225961538461536 0.75 0.109375 0.18990384615384615`
			`1 0.5769230769230769 0.7524038461538461 0.11177884615384616 0.19230769230769232`
			`1 0.7367788461538461 0.7560096153846154 0.11658653846153846 0.19110576923076922`
			`0 0.0829326923076923 0.7560096153846154 0.0829326923076923 0.15144230769230768`
			`0 0.7463942307692307 0.35216346153846156 0.08413461538461539 0.15985576923076922`
			`0 0.9098557692307693 0.7512019230769231 0.09615384615384616 0.1658653846153846`