s-du / pixels2voxels Goto Github PK

Pixels-2-Voxels is a simple Open3d-based application for visualizing the three color channels of any image as 3d plots. It uses a 'voxel' representation, created from the input data. Some simple filtering algorithms are also implemented.

It's of no use, so it's absolutely essential!

#Pillow #Open3D #Voxels #ImageProcessing #Pointcloud

The project is still in pre-release, so do not hesitate to send your recommendations or the bugs you encountered!

Plotting color channels as 'voxel' maps

The application allows to process any JPG/PNG picture and separates the three colour channels. It reads the embedded intensity values (for each pixel) and converts them into point cloud format (x and y coordinates correspond to the pixel location and the z coordinate is the intensity from 0 to 255). Then, the point cloud is converted into a voxel grid, using Open3D library.

3d movement around the voxel grid (blue channel)

Changing voxel size

1. Clone the repository:

git clone https://github.com/s-du/Pixels2Voxels

2. Navigate to the app directory:

cd Pixels2Voxels

3. Install the required dependencies:

pip install -r requirements.txt

4. Run the app:

python main.py

Contributions to the app are welcome! If you find any bugs, have suggestions for new features, or would like to contribute enhancements, please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Make the necessary changes and commit them.
4. Push your changes to your fork.
5. Submit a pull request describing your changes.