Comments (5)
Got it, Downloading dataset locally.
Thank you for this awesome project and thank you for your help
from covid19.miscnn.
Hey @saahiluppal,
can you verify that the dataset was correctly downloaded?
I would take a guess that there was some downloading issue resulting in corrupted files.
The download links as well as the script still works on my end.
Cheers,
Dominik
from covid19.miscnn.
Please also verify that the python script has enough permissions to create and delete files/directories in your current working directory.
from covid19.miscnn.
Here is the gist from my colab run.
As you can see, the data doesn't even start to download and i guess that's why zip says it is not a valid file.
from covid19.miscnn.
Mhm, interesting.
If you open up the downloaded file with a random text editor or via cat/vim/nano, it shows the request response.
-> Google Colab is IP blocked from automatic downloading from Zenodo.
Zenodo probably wants Google Colab users to use their API to download files in large quantity instead of just downloading it with the frontend link (as I did).
https://developers.zenodo.org/#rest-api
You can either download the dataset locally on your computer (<2GB) / run the script locally and then upload it to your Gdrive,
or you can adjust the script by using your personal token for downloading from Zenodo.
Here is the Zenodo repository of the dataset: https://zenodo.org/record/3757476#.YMDcJkxCSHs
Hope that I was able to help.
Cheers,
Dominik
from covid19.miscnn.
Related Issues (20)
- Cannot import split module HOT 2
- Multi-GPU or how to choose a particular GPU HOT 1
- About running errors HOT 2
- Prediction could not be found "predictions/coronacases_001.nii.gz" HOT 1
- Time HOT 1
- Getting Error in run_miscnn HOT 2
- How to Make Predictions of a set of new images with the trained model and save it as nii file? What is the procedure? HOT 1
- Patchwise Overlap HOT 1
- Slicing Method HOT 2
- "Iterations" param in run_fold HOT 3
- load_csv2fold HOT 1
- patch shape HOT 2
- Incompatible numpy & tensorflow & miscnn HOT 3
- Dataset HU range HOT 1
- Add Mac M1 Apple Silicon Support
- Get in email contact with authors of COVID-19 benchmark data set
- Add improved CV functionality to MIScnn HOT 1
- change license
- Citation
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from covid19.miscnn.