Datasets
Models
[0be6a8]:
/
TODO.md
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- Add combined model of do-u-net with different layers.
- Add data augmentation with two datasets (optimized dataset with only 10 images with their masks and edge-masks 13 images, and the second dataset is ALL-IDB1 108 images).
- Add necessary functions from other models (Segnet and U-Net).
- Prepare trained weights with different loss functions (binary crossentropy, Mean Squared Error MSE, Intersection Over Union IOU...).
- Train and test white blood cells.
- Train and test red blood cells.
- Train and test platelets.
- Add unit tests.
- Finish documenting all functions.
- Implement argument parser for deploying the bc-count script.
- Reorganize main.py (for simplicity, main function will only call function from other files/functions).
- Publish this project to PyPI.
- Publish a stable python script to PyPI.
- Apply final touches to the production script.