Comments (1)
The first motivation for building this repository was to remove Caffe and MATLAB dependencies of the official codes. Therefore this repository is designed to convert the official COCO weights (init.caffemodel) into PyTorch-compatible format, but not to train from scratch. I remember that the training details for COCO were unrevealed, and I ended up with the current design. I think one can train COCO if implementing a dataset class, but currently I have no time to verify and maintain reproducibility over it.
from deeplab-pytorch.
Related Issues (20)
- only 20% mIou HOT 4
- The results of VOC2012 val dataset HOT 2
- cannot find setup_voc12.sh
- how to do the augmentation for training? HOT 2
- what do we mean by unary? HOT 2
- custom dataset HOT 2
- get_dataset HOT 2
- the pre-trained model HOT 2
- The training result is poor after using the weak supervision data set HOT 4
- How to convert the generated npy file into an image HOT 4
- A simple question about test on VOC HOT 1
- COCO number of classes HOT 4
- Question VOC HOT 1
- How to train on the coco-stuff datasets? HOT 1
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from deeplab-pytorch.