Download and prepare the dataset
Write the data preprocessing script to generate .npy files
Generate segmentation masks using the pretrained U-Net model
Files to Complete:
Download the dataset and place it in the data directory
Run data_preprocessing.py to generate training and testing .npy files
Run generate_masks.py to generate segmentation masks using the pretrained U-Net model
Note: This task should be completed first as other tasks depend on the preprocessed data and generated masks.
Task Details:
Download and prepare the dataset Write the data preprocessing script to generate .npy files Generate segmentation masks using the pretrained U-Net model Files to Complete:
src/data_preprocessing.py src/generate_masks.py Task Instructions:
Download the dataset and place it in the data directory Run data_preprocessing.py to generate training and testing .npy files Run generate_masks.py to generate segmentation masks using the pretrained U-Net model
Note: This task should be completed first as other tasks depend on the preprocessed data and generated masks.