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compositor's Issues

Unable to reproduce the results of the paper

The pascal part configuration and dataset could not be found and the transformer based configuration could not be used because there was no bs16_90k configuration and the KMax-DeepLab folder was not found

Various Errors Trying to run train_net.py after clean install and dataset setup.

Followed the install and dataset instruction set without issues. However, when trying to run Compositor and its variants train_net.py crashes before or during training iteration 0. Examples provided below:

python train_net.py --num-gpus 4 --config-file configs/partimagenet/semantic-segmentation/swin/compositor_swin_tiny_bs16_90k.yaml

-- Process 1 terminated with the following error:
FileNotFoundError: [Errno 2] No such file or directory: 'configs/partimagenet/semantic-segmentation/compositor_R50_bs16_90k.yaml'



python train_net.py --num-gpus 4 --config-file configs/partimagenet/semantic-segmentation/compositor_R50_bs128_40k.yaml

-- Process 3 terminated with the following error:
  File "/projects/jare1686/software/anaconda/envs/compositor/lib/python3.9/site-packages/torch/_tensor.py", line 972, in __array__
    return self.numpy().astype(dtype, copy=False)
TypeError



python train_net.py --num-gpus 4 --config-file configs/partimagenet/semantic-segmentation/Base-PartImageNet-SemanticSegmentation.yaml

-- Process 2 terminated with the following error:
    raise ValueError("Cannot match one checkpoint key to multiple keys in the model.")
ValueError: Cannot match one checkpoint key to multiple keys in the model.

Any help is greatly appreciated.

Could not run MultiScaleDeformableAttention on cuda11.8

Hello,

I have certain hardware constraints. And need to run this code on cuda11.8. However, getting issues with MultiScaleDeformableAttention.

Would it be possible to resolve this issue? Please let me know if you are aware to solve this problem.
Error: import MultiScaleDeformableAttention as MSDA ImportError: libtorch_cuda_cu.so: cannot open shared object file: No such file or directory

Thanks

Unable to reproduce MaskFormer results

Hello!

With the code and configs provided I am unable to reproduce the Compositor MaskFormer results on PartImageNet. I've tried a few different learning rates but the best results I've observed are ~50 mIoU for part and ~62 for object. Could you release checkpoints and training logs?

Thank you!
Josh

Unexpected sizes in training code?

Hello!

Thank you for releasing this and with thorough instructions! I just went to try training the DeepLab variant (with 1 gpu) and got the following error

Traceback (most recent call last):
  File "/projects/jomy5901/Compositor/Compositor_kMaX-DeepLab/train_net.py", line 334, in <module>
    launch(
  File "/projects/jomy5901/Compositor/Compositor_kMaX-DeepLab/tmp/detectron2/detectron2/engine/launch.py", line 84, in launch
    main_func(*args)
  File "/projects/jomy5901/Compositor/Compositor_kMaX-DeepLab/train_net.py", line 328, in main
    return trainer.train()
  File "/projects/jomy5901/Compositor/Compositor_kMaX-DeepLab/tmp/detectron2/detectron2/engine/defaults.py", line 486, in train
    super().train(self.start_iter, self.max_iter)
  File "/projects/jomy5901/Compositor/Compositor_kMaX-DeepLab/tmp/detectron2/detectron2/engine/train_loop.py", line 155, in train
    self.run_step()
  File "/projects/jomy5901/Compositor/Compositor_kMaX-DeepLab/tmp/detectron2/detectron2/engine/defaults.py", line 496, in run_step
    self._trainer.run_step()
  File "/projects/jomy5901/Compositor/Compositor_kMaX-DeepLab/tmp/detectron2/detectron2/engine/train_loop.py", line 494, in run_step
    loss_dict = self.model(data)
  File "/projects/jomy5901/software/anaconda/envs/compositor/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1051, in _call_impl
    return forward_call(*input, **kwargs)
  File "/projects/jomy5901/Compositor/Compositor_kMaX-DeepLab/compositor/compositor_model.py", line 232, in forward
    losses = self.criterion(outputs, targets)
  File "/projects/jomy5901/software/anaconda/envs/compositor/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1051, in _call_impl
    return forward_call(*input, **kwargs)
  File "/projects/jomy5901/Compositor/Compositor_kMaX-DeepLab/compositor/modeling/criterion.py", line 386, in forward
    losses.update(self.get_loss(loss, outputs, processed_targets, prefix='part_'))
  File "/projects/jomy5901/Compositor/Compositor_kMaX-DeepLab/compositor/modeling/criterion.py", line 283, in get_loss
    return loss_map[loss](outputs, targets, prefix=prefix)
  File "/projects/jomy5901/Compositor/Compositor_kMaX-DeepLab/compositor/modeling/criterion.py", line 217, in loss_labels
    losses = {prefix + "loss_ce": focal_cross_entropy_loss(src_logits, target_classes, pq_loss_class_weight)}
  File "/projects/jomy5901/Compositor/Compositor_kMaX-DeepLab/compositor/modeling/criterion.py", line 46, in focal_cross_entropy_loss
    loss = F.cross_entropy(pred, gt, reduction="none") # B x N
  File "/projects/jomy5901/software/anaconda/envs/compositor/lib/python3.9/site-packages/torch/nn/functional.py", line 2824, in cross_entropy
    return torch._C._nn.cross_entropy_loss(input, target, weight, _Reduction.get_enum(reduction), ignore_index)
RuntimeError: Expected target size [16, 30], got [16, 42, 30]

Do you know why this may occur?

Thank you!

Problem with Mask2former

Hi! I'm having some problems when trying to install the dependencies for Mask2Former. I followed the installation instructions, but still got some errors. Do you have an alternative way of installing this library?
Thanks for the help

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