pytorch-deeplab-xception
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DeepLab v3+ model in PyTorch. Support different backbones.
Hi, Do you have the pre-trained weights for cityscapes dataset with resnet101 backbone.
hello, a question, can I use my own dataset labeled by labelme to train the model?? thx
https://github.com/jfzhang95/pytorch-deeplab-xception/blob/9135e104a7a51ea9effa9c6676a2fcffe6a6a2e6/dataloaders/custom_transforms.py#L125 在验证阶段还做了数据增强,FixScaleCrop,这是不合理的 Data enhancement is also done in the verification phase -- FixScaleCrop, This is unreasonable
Hi. In [paper](https://arxiv.org/abs/1706.05587) section 3.2.1, You introduced "Multi-grid Method" and Table 5 shows that using Multi-Grid method with rates = (1,2,4) is the best method that the paper used. But...
Dear authors, Thanks very much for your amazing work! I have some questions about the batch size selection. The batch size is defaulted as 4 per GPU. This is a...
When running, the first epoch stops at the end. Has anyone encountered this situation?
One GPU can run, but multiple gpus can not run? my pytorch 1.1 and has 4 GPUs One GPU can run, but why can't more than one GPU? I have...
Hi, Can I train images with different width and height sizes? like 1024*512, since my image scale is 2:1 the default size is 513 in this repo, how can I...