ComView/datasets/train/labels/fig2_jpg.rf.57f76d23f3cb7b8e0a09d545983d4e4e.txt

1 0.765625 0.6189903846153846 0.06009615384615385 0.07692307692307693
0 0.3245192307692308 0.38822115384615385 0.05889423076923077 0.07572115384615384
0 0.32572115384615385 0.6201923076923077 0.06490384615384616 0.07091346153846154
0 0.328125 0.84375 0.051682692307692304 0.07091346153846154
0 0.78125 0.390625 0.056490384615384616 0.07451923076923077
0 0.5540865384615384 0.3894230769230769 0.06490384615384616 0.0829326923076923
0 0.7548076923076923 0.8341346153846154 0.056490384615384616 0.06971153846153846
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 0.765625 0.6189903846153846 0.06009615384615385 0.07692307692307693`
			`0 0.3245192307692308 0.38822115384615385 0.05889423076923077 0.07572115384615384`
			`0 0.32572115384615385 0.6201923076923077 0.06490384615384616 0.07091346153846154`
			`0 0.328125 0.84375 0.051682692307692304 0.07091346153846154`
			`0 0.78125 0.390625 0.056490384615384616 0.07451923076923077`
			`0 0.5540865384615384 0.3894230769230769 0.06490384615384616 0.0829326923076923`
			`0 0.7548076923076923 0.8341346153846154 0.056490384615384616 0.06971153846153846`