deepcovid's People
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murali037 zibagandomkar b2bda akashsasank jhkcia cpetsa ycheng1102 phanindra-hub fatihkutlu klongchu mysterioussonofgod tenfoldm eshasadia xahiru ghadeersaad7 devlinh akhilapram ruchi2798 arpithaupd gilangrama sayedmahdimousavi ksr27 madduri shakibyzn arifshariar lrrong2020deepcovid's Issues
Val file is not included in the Dataset provided
FileNotFoundError: [WinError 3] The system cannot find the path specified: './data/val'
Since Val folder is not included in the provided dataset, the program practically fails to go ahead from the building stage.
Do update the dataset with a valid Val folder.
FileNotFoundError: [Errno 2] No such file or directory: './data/val'
The dataset does not have a validation split, however the training code in ResNet18_train.py uses it.
Please share the validation split so that the results can be reproduced.
Following code
$ python ResNet18_train.py --dataset_path ./data/ --batch_size 20 --epoch 50 --num_workers 4 --learning_rate 0.001
gives following error.
Traceback (most recent call last): File "ResNet18_train.py", line 59, in <module> image_datasets = {x: datasets.ImageFolder(os.path.join(data_dir, x), File "ResNet18_train.py", line 59, in <dictcomp> image_datasets = {x: datasets.ImageFolder(os.path.join(data_dir, x), File "/Library/Python/3.8/site-packages/torchvision/datasets/folder.py", line 226, in __init__ super(ImageFolder, self).__init__(root, loader, IMG_EXTENSIONS if is_valid_file is None else None, File "/Library/Python/3.8/site-packages/torchvision/datasets/folder.py", line 108, in __init__ classes, class_to_idx = self._find_classes(self.root) File "/Library/Python/3.8/site-packages/torchvision/datasets/folder.py", line 137, in _find_classes classes = [d.name for d in os.scandir(dir) if d.is_dir()] FileNotFoundError: [Errno 2] No such file or directory: './data/val'
about
Hi Shervin,
Could you have update the code about squeezeNet and DenseNet, and the inference.py didn't run the right results, sad....
With Regards
AssertionError - inference.py
Number of manager items must equal union of block items
manager items: 2, # tot_items: 0
How to solve this error?
Inference predicting everything as non-covid
Hi Shervin,
I have tried to execute the same code, but the code is predicting every image as a non-covid one, when I test on the test-covid
images. Could you please help me to resolve the issue.
With Regards,
Aparna Reji
Pre-trained models?
Could you please share some pre-trained networks, to test the algorithms directly? Thanks.
Dataset Incomplete
Hi. The number of images per category in the provided link (to download the dataset) doesn't match with the statistics in table 1 of your paper.
For the training set, Non-COVID images should be 3000 but in the provided link it is 580 images. Please upload the complete dataset.
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