Comments (5)
rulixiang
commented on September 27, 2024
你好，这个npy文件存储的是每张图像的类别标签（onehot形式），对自己的数据集可以自己写个脚本生成，并不是很难。
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zwyang6
commented on September 27, 2024
您好， 按照您提供的COCO的VOC 风格分割标注，读取出来的标签是4通道，放在你的coco训练代码里我这边是跑不通的。请问您是对该标注进行了进一步的处理吗，（例如将4通道信息转化为单通道）
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zwyang6
commented on September 27, 2024
您好， 按照您提供的COCO的VOC 风格分割标注，读取出来的标签是4通道，放在你的coco训练代码里我这边是跑不通的。请问您是对该标注进行了进一步的处理吗，（例如将4通道信息转化为单通道）
您提供的应该是未转化成VOC风格的labels吧，具体转换还得看您提供的repo代码！ 感谢
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shulan-s
commented on September 27, 2024
你好，这个npy文件存储的是每张图像的类别标签（onehot形式），对自己的数据集可以自己写个脚本生成，并不是很难。
您好，对于想处理一个新的数据集，应该怎么完成，能给一个步骤方案吗？非常感谢
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shulan-s
commented on September 27, 2024
./afa-master/datasets/voc/cls_labels_onehot.npy 我想训练自己的数据集 请问这个cls_labels_onehot.npy文件是如何生成的？
您好，您用自己的数据集成功了吗
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Related Issues (20)
- No module named 'bilateralfilter' HOT 1
- python 3.7 cuda 11.1 torch 1.8 got error HOT 1
- single gpu train HOT 4
- where are test codes HOT 2
- CNN & Trans CAM
- About PAR
- May I ask which part of the code of CAM to generate pseudo mask？
- Reproducibility concern. HOT 3
- 为什么计算seg loss的时候使用refined_aff_label？ HOT 1
- Fairness concern.
- Using pre-trained weights from SegFormer confused me HOT 2
- the log of coco dataset HOT 1
- RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.cuda.FloatTensor [256]] is at version 3; expected version 2 instead HOT 3
- COCO dataset weights and segmentation results
- Hello, can you please share the model weights on VOC dataset?
- Welcome update to OpenMMLab 2.0
- labels_camp = torch.from_numpy(labels_camp).permute([0,3,1,2]) HOT 1
- How to visualize attention?
- PyCharm to a server for training
- Duplicate GPU detected
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