Skip to content

Latest commit

 

History

History
60 lines (48 loc) · 3.51 KB

README.md

File metadata and controls

60 lines (48 loc) · 3.51 KB

Vedo Tutorials Hub

This repository serves as a collection of tutorials and examples showcasing the capabilities of Vedo, a powerful Python module for scientific visualization, analysis, and animation of 3D objects. Whether you're diving into 3D medical imaging visualization, 3D mesh cutting, or exploring other facets of 3D visualization, this hub is for you.

Vedo tutorials

📂 Repository Structure

  • medical_imaging_visualization: Demonstrates the visualization of STL and NIfTI files, commonly used in medical imaging.
  • 3D_mesh_cutting: A tutorial on precision 3D mesh cutting with Vedo.
  • 3d_mesh_capturing: A tutorial on how to do a screenshot of a rendered 3D mesh.
  • visualize_multi_objects: A tutorial on how to visualize multiple 3D objects.
  • streamlit_vedo_visualization: A tutorial on how to use streamlit and vedo for visualization.

More tutorials will be added over time. Stay tuned!

Installation

To experiment with the tutorials, you need Python installed. Additionally, all tutorials use the Vedo library:

pip install vedo

📚 Tutorials

1. Medical Imaging Visualization

Dive deep into visualizing medical images in 3D. Open and render STL and NIfTI files with ease.

2. Precision 3D Mesh Cutting

Master the art of precisely slicing 3D models and unveiling their internal structure.

3. 3D Mesh Screenshot Capture

Learn the art of capturing high-quality screenshots of your 3D STL meshes, perfect for presentations, documentation, or sharing with colleagues.

4. Multiple 3D Mesh Visualization

Learn how to visualize multiple 3D objects at the same viewer.

5. Streamlit and Vedo for Mesh Visualization

Learn how to show your 3D meshes using streamlit and vedo.

💁‍♂️ Contributing

While this repository is primarily a collection of my tutorials, I'm open to contributions. If you've got a unique Vedo tutorial or an enhancement to an existing one, feel free to create a pull request.

🚀 Useful links