Comments (6)
train.py needs to be modified as per this issue to run on a single GPU.
to run on a single GPU it's
train.py --gpu 0
as opposed to train.py --gpu 1 .
I've also uploaded the pretrained models that can be found here
Finally to run the eval_ood.py if using the default config/ade20k-resnet50dilated-ppm_deepsup.yaml and the model I've uploaded, change the num_classes parameter in the yaml file to be 13.
Thanks for pointing out the typo. I fixed it and another as well.
I've also updated the README as well to reflect these changes
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Note that I follow the recommanded steps in the README and actually it may come from python create_dataset.py
step, I have 'FileNotFoundError: [Errno 2] No such file or directory: 'data/train/images/test/' ... Could you give some more indications on how the repositories should be ?
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I updated the repo. The error should be gone now. Pull it again or download the updated create_dataset.py and defaults file. Thanks for the bug report.
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Thanks for the update @xksteven . The previous error have disappeared but I think there is still something missing because I can't make the command python train.py
works... I had to add feed_dict = feed_dict[0] in line 32 of models.py because I had a list and not a dictionnary but then I have "Input type (torch.FloatTensor) and weight type (torch.cuda.FloatTensor) should be the same". You can check link_colab if you have time
PS : I also noted one minor error in eval_ood.py : in_scores = - conf[np.logical_not(out_label))]
line 51, there is one parenthesis too many
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Related Issues (20)
- Question: Paper Section 3 HOT 4
- pretrained model HOT 4
- Issues with evaluate the model on OOD test set HOT 1
- Couldn't match the BDD100K file paths HOT 3
- StreetHazards color encoding for visualization HOT 6
- Some questions about the CAOS benchmark HOT 2
- Some points to confirm about the CAOS benchmark HOT 4
- Two more stages in resnet HOT 2
- how about the class define? HOT 2
- how to show the anomaly scores? HOT 1
- Evaluation based on each image vs entire dataset HOT 1
- What is the true label of -1 in seg_label HOT 1
- Anomaly detecting and visualization HOT 2
- Training Error?? HOT 7
- About metrics AUPR, AUROC, and FPR95 HOT 2
- About ground truth Semantic Segmentation images HOT 4
- Broken link to BDD-Anomaly dataset HOT 1
- Updating the google drive link of the Species OOD dataset HOT 4
- Question about CAOS dataset training HOT 13
- BDD100K Data Processing Issue
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