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I have downloaded the CamVid dataset, but the labels are RGB format and 32 classes, I want to convert the labels to 11 classes and index, how can i do it?
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Sorry to bother you, I have trained your model on ubuntu18.04 with pytorch, but errors occurred when I tried to run Test.py. It seems that there is no file named "Cam_loader.py" or "utils.py" in the d…
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Hello,
I want to train the model by big resolution CamVid dataset, and I find the big image can be download here https://github.com/mostafaizz/camvid, but its label image is not consistent with small…
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Thanks for your code!CamVid database's label is color image(RGB),but your train_labels、val_labels and test_labels are gray image。Can you tell me why you want to convert these annotated color images i…
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I guess there is a bug when you put your model to mutil-gpus.
Reference:
https://github.com/pytorch/pytorch/issues/8637#issuecomment-398268602
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Hi,
thank you for your great work.
I'd like to train your model on COCO db, any suggestion for dataset preparing and training tips?
thanks~
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@AvivSham Thank you for your reply! Not the test image. The image I am using is in jpg format and the image size is 266*200.I didn't train the new model, I used the model you provided.I modified your…
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it's kind of issue (problem) but **not** error in the tutorial:
I get error when trying to run the trainer: `RuntimeError: CUDA out of memory. Tried to allocate 20.00 MiB (GPU 0; 1.96 GiB total capac…
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Similar to IC, build a notebook called "01_training_introduction.ipynb" which introduces the problem, without going into details.
This notebook can be heavily based on the fast.ai's 2019 lesson3-camv…
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