Comments (1)
Found the solution, it was not an error with Dixined, I was running it in the colab, It generated some files .ipynb_checkpoints
, when uploading images to it. use !rm -rf find -type d -name .ipynb_checkpoints
command before running it.
%cd /content/DexiNed
!rm -rf `find -type d -name .ipynb_checkpoints`
!python main.py --choose_test_data=-1
from dexined.
Related Issues (20)
- about evaluation HOT 2
- Works once but stops working after testing own image HOT 3
- Can I change the resize value in dataset transform function? HOT 3
- About Bsds and Biped HOT 2
- Size of the CLASSIC images
- About args.double_img HOT 5
- Can't parse 'dsize'. Sequence item with index 0 has a wrong type HOT 2
- Should the l_weight value change according to the dataset? HOT 3
- Inference mode is available? HOT 2
- GT HOT 1
- loss does not converge HOT 25
- How can I calculate ODS, OIS, AP metrics? HOT 5
- does DexiNed support multiple GPUs .. if Yes, how to implement it for DexiNed TF2 HOT 4
- high train loss
- About Precision-Recall Curves on Biped
- Unable to reproduce results HOT 7
- Interpretation of result.png HOT 2
- Hello! Why does the following problem occur after running main.py
- Can you share the results of DexiNed's testing on top of the BSDS500?
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