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pip install -r requirements.txt
.dvc pull
dvc repro
to run the pipeline and train the model.The resultant heatmaps from the evaluation stages should look something like 👇
The 45GB dataset comprises 112,120 frontal-view chest X-ray images organized 14 different folders, based on individual tarballs. There is a master list of images with target labels, image IDs, patient IDs alongside additional patient metadata. The dataset is available on the Kaggle platform.
To use a smaller, subsampled dataset, run the following commands from the repository's root directory:
git update-index --assume-unchanged data_labeling/data.dvc
curl https://dagshub.com/nirbarazida/Pneumonia-Classification/raw/d74cccbd0957c41dac7560565d2b7b4df3c0d195/data_labeling/data.dvc -o data_labeling/data.dvc
Note: If you are adding/removing/moving files to different directories, it can affect the DVC pipeline, and therefore
the dvc repro
command might not run properly.
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Are you sure you want to delete this access key?
Are you sure you want to delete this access key?