Welcome to my personal repository for studying computer vision! Here, I will be focusing on general models like Detectron2, YOLOv8, DINOv2, and more. I will be reading their related papers and exploring existing projects.
The main technologies I will be using are PyTorch, Lightning, fastai, fastapi, TensorFlow, and Jax.
I will be using Python, C++, and Rust for my computer vision projects.
My farm of vision models includes:
- Detectron2
- YOLOv8
- DINOv2
- And more!
To use this repository, you may need to install some libraries and frameworks depending on the project you are interested in.
- Introduction
- Technologies
- Languages
- Features
- Setup
- Table of Contents
- Illustrations
- Scope of Functionalities
- Example of Use
- Project Status
- Sources
- Other Information
I will include illustrations and visualizations of the computer vision models and datasets I am working with.
My goal is to learn and master the functionalities of the computer vision models I am exploring, including object detection, instance segmentation, and image classification.
I will provide code examples and demonstrations of how to use these models to solve real-world computer vision problems.
This is an ongoing project, and I will be updating the repository as I learn and progress.
I will be reading and summarizing papers related to the computer vision models I am exploring, as well as consulting the official documentation and community forums.
Feel free to contact me if you have any questions or suggestions for how to improve this repository.