• Project Structure 📁
• Install 🔨
• Use 🚀
• Develop ⚙️
• License 📑

cbc/
├── docs/...
│
├── models/
│   ├── plt.h5
│   ├── rbc.h5
│   └── wbc.h5
├── AUTHORS
├── cbc
├── LICENSE
├── README.md
├── requirements.txt
├── setup.py
└── test.jpg

• Install straight from PyPI using pip:

pip install cbc

Please read cbc --help before using it -o flag is optional (defaults to out/ directory)

• Count blood cells (-r for red and -w for white):

cbc -r <blood-cell-image>

• Predict red blood cells (use Circle Hough Tranform and Connected Component Labeling with otsu's thresholding):

cbc -r -CHT -CCL -t <blood-cell-image>

• Predict white blood cells (with custom output directory):

cbc -w <blood-cell-image> -o outdir/

• Download the project:

git clone https://github.com/nemo256/cbc
cd cbc 

• Activate virtual environment:

python -m venv venv
source venv/bin/activate
pip install -r requirements.txt

• Now just adapt the code to your needs and then run using the command:

chmod +x cbc
./cbc

• Please read cbc/LICENSE