- [x] Add combined model of do-u-net with different layers.

- [x] 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).

- [x] 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...).

- [x] Train and test white blood cells.

- [x] Train and test red blood cells.

- [x] Train and test platelets.

- [x] Add unit tests.

- [x] 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).

- [x] Publish this project to PyPI.

- [x] Publish a stable python script to PyPI.

- [ ] Apply final touches to the production script.