https://github.com/abdelkareemkobo/exploring_computer_vision
https://github.com/abdelkareemkobo/exploring_computer_vision
Last synced: 4 months ago
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- Host: GitHub
- URL: https://github.com/abdelkareemkobo/exploring_computer_vision
- Owner: abdelkareemkobo
- Created: 2023-04-28T01:00:59.000Z (over 2 years ago)
- Default Branch: master
- Last Pushed: 2023-04-28T02:31:17.000Z (over 2 years ago)
- Last Synced: 2025-03-14T01:47:05.373Z (8 months ago)
- Size: 1.95 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: readme.md
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README
# Exploring Computer Vision
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.
# Technologies
The main technologies I will be using are PyTorch, Lightning, fastai, fastapi, TensorFlow, and Jax.
# Languages
I will be using Python, C++, and Rust for my computer vision projects.
# Features
My farm of vision models includes:
- [Detectron2](https://github.com/abdelkareemkobo/detectron_hacking)
- YOLOv8
- DINOv2
- And more!
# Setup
To use this repository, you may need to install some libraries and frameworks depending on the project you are interested in.
# Table of Contents
- Introduction
- Technologies
- Languages
- Features
- Setup
- Table of Contents
- Illustrations
- Scope of Functionalities
- Example of Use
- Project Status
- Sources
- Other Information
# Illustrations
I will include illustrations and visualizations of the computer vision models and datasets I am working with.
# Scope of functionalities
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.
# Example of use
I will provide code examples and demonstrations of how to use these models to solve real-world computer vision problems.
# Project status
This is an ongoing project, and I will be updating the repository as I learn and progress.
# Sources
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.
# Other information
Feel free to contact me if you have any questions or suggestions for how to improve this repository.