To get started, install anaconda in your system.
Clone this repository
git clone https://github.com/ColdMatter/pyhamamatsu.git
Then create a new environment using the command
conda create -f environment.yml
After creating the environment activate the environment using
conda activate pyhamamtsu
Navigate to the pycaf directory
cd \your_path\pyhamamatsu
Here install pycaf in editable mode using the command:
pip install -e .
The main libraries used in this project are:
- DCAM SDK: Used for the interfacing the camera.
- NumPy: Used for numerical computing.
- Matplotlib: Used for creating visualizations.
If you find any issues or have suggestions for improvements, feel free to open an issue or submit a pull request. Contributions are welcome and encouraged!
This project is licensed under the MIT License - see the LICENSE file for details.
We would like to acknowledge the open-source community for creating and maintaining the essential Python libraries used in this project. Their efforts make data analysis with Python accessible and efficient for everyone.