SHI-Labs / OneFormer

OneFormer: One Transformer to Rule Universal Image Segmentation, arxiv 2022 / CVPR 2023
https://praeclarumjj3.github.io/oneformer
MIT License
1.46k stars 129 forks source link

AssertionError: Checkpoint dinat_large_in22k_in1k_384_11x11.pkl not found! #36

Closed sahityabonumaddi closed 1 year ago

sahityabonumaddi commented 1 year ago

[03/21 22:37:19 d2.data.build]: Using training sampler TrainingSampler [03/21 22:37:19 d2.data.common]: Serializing 20210 elements to byte tensors and concatenating them all ... [03/21 22:37:19 d2.data.common]: Serialized dataset takes 18.42 MiB [03/21 22:37:19 fvcore.common.checkpoint]: [Checkpointer] Loading from dinat_large_in22k_in1k_384_11x11.pkl ... Traceback (most recent call last): File "train_net.py", line 435, in launch( File "/home/iit29/anaconda3/envs/oneformer/lib/python3.8/site-packages/detectron2/engine/launch.py", line 82, in launch main_func(args) File "train_net.py", line 424, in main trainer.resume_or_load(resume=args.resume) File "/home/iit29/anaconda3/envs/oneformer/lib/python3.8/site-packages/detectron2/engine/defaults.py", line 412, in resume_or_load self.checkpointer.resume_or_load(self.cfg.MODEL.WEIGHTS, resume=resume) File "/home/iit29/anaconda3/envs/oneformer/lib/python3.8/site-packages/fvcore/common/checkpoint.py", line 227, in resume_or_load return self.load(path, checkpointables=[]) File "/home/iit29/anaconda3/envs/oneformer/lib/python3.8/site-packages/detectron2/checkpoint/detection_checkpoint.py", line 52, in load ret = super().load(path, args, **kwargs) File "/home/iit29/anaconda3/envs/oneformer/lib/python3.8/site-packages/fvcore/common/checkpoint.py", line 153, in load assert os.path.isfile(path), "Checkpoint {} not found!".format(path) AssertionError: Checkpoint dinat_large_in22k_in1k_384_11x11.pkl not found!

Similar errors popped when I try with other backbones too, I have no idea why, Any help would be great, Thanks in advance!

praeclarumjj3 commented 1 year ago

Please make sure you download the pretrained backbone weights before training. More info here.

wget https://shi-labs.com/projects/dinat/checkpoints/imagenet1k/dinat_large_in22k_in1k_384_11x11.pth
python tools/convert-pretrained-nat-model-to-d2.py dinat_large_in22k_in1k_384_11x11.pth dinat_large_in22k_in1k_384_11x11.pkl