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subhc / SPNet

Semantic Projection Network for Zero- and Few-Label Semantic Segmentation (CVPR 2019)
MIT License
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PASCAL VOC 2012 dataset #6

Open sunggukcha opened 4 years ago

sunggukcha commented 4 years ago

Your paper and 'splits.ipynb' describe PASCAL VOC 2012 train set has 11685 images, while your currently distributing code includes 10582 images for training (check your data/datasets/voc12/split/train_list.npy). I think 10582 is the usual augmented PASCAL VOC 2012 training set size. Where the thousand of training images come from?

Please also check 'data/datsets/voc12/split/seenval_cls.npy' which is missing.

Maulik1528 commented 2 years ago

Use this code to generate that file. val = np.array([13,14,15]) np.save('seenval_cls.npy',val)