https://github.com/asifdotexe/open-see-wee
Repository for storing all my code written while playing around with and learning OpenCV
https://github.com/asifdotexe/open-see-wee
computer-vision image-analysis opencv video-analysis
Last synced: 2 months ago
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Repository for storing all my code written while playing around with and learning OpenCV
- Host: GitHub
- URL: https://github.com/asifdotexe/open-see-wee
- Owner: Asifdotexe
- Created: 2024-07-18T16:38:05.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2025-11-24T05:56:00.000Z (7 months ago)
- Last Synced: 2025-11-27T23:54:43.825Z (7 months ago)
- Topics: computer-vision, image-analysis, opencv, video-analysis
- Language: Jupyter Notebook
- Homepage:
- Size: 24.5 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Computer Vision through OpenCV
Welcome to the **Computer Vision through OpenCV** tutorial! This repository contains a collection of Python scripts and resources designed to teach you the fundamental concepts of Computer Vision using the OpenCV library.
## Project Structure
The tutorials are organized into modules, each focusing on a specific area of Computer Vision.
### [01. Basics & IO](tutorials/01_basics_and_io/README.md)
Learn the essentials: reading images and videos, understanding dimensions, resizing, cropping, and basic geometric transformations like rotation and translation.
### [02. Image Filtering](tutorials/02_image_filtering/README.md)
Explore techniques to enhance images, including blurring, sharpening, and noise reduction using various filters (Gaussian, Median, Bilateral).
### [03. Morphological Transformations](tutorials/03_morphological_transformations/README.md)
Understand morphological operations like Erosion, Dilation, Opening, and Closing, and their applications in image processing.
### [04. Edge Detection](tutorials/04_edge_detection/README.md)
Discover methods to detect edges in images using operators like Canny, Sobel, and Laplacian.
### [05. Arithmetic & Logic](tutorials/05_arithmetic_and_logic/README.md)
Learn how to perform arithmetic (addition, subtraction) and bitwise operations on images, essential for masking and blending.
### [06. Histograms & Intensity Transforms](tutorials/06_histograms_and_intensity_transforms/README.md)
Analyze image histograms and apply intensity transformations like Histogram Equalization and Power Law transforms to adjust contrast and brightness.
### [07. Image Features & Segmentation](tutorials/07_image_features_and_segmentation/README.md)
Dive into advanced topics like image segmentation and feature detection/matching (Harris Corners, ORB, BRISK).
### [08. Video Analysis](tutorials/08_video_analysis/README.md)
Work with video streams: object tracking (CamShift), background subtraction, and video processing.
### [09. Compression](tutorials/09_compression/README.md)
Understand image compression techniques.
## How to Use
1. Navigate to a module folder (e.g., `tutorials/01_basics_and_io`).
2. Read the `README.md` to understand the concepts.
3. Run the Python scripts to see the code in action.
* Note: You may need to adjust image paths in the scripts if you run them directly, as the directory structure has changed. Ideally, run scripts from inside their respective folders.
## Environment Setup
This project uses [Poetry](https://python-poetry.org/) for dependency management which ensures a reproducible environment.
1. **Install Poetry**: If you haven't already, install Poetry by following the [official guide](https://python-poetry.org/docs/#installation).
2. **Install Dependencies**: Navigate to the project root and run:
```bash
poetry install
```
3. **Run Scripts**: You can execute scripts within the Poetry environment using `poetry run`. For example:
```bash
poetry run python tutorials/01_basics_and_io/image_rotation.py
```
Alternatively, spawn a shell within the environment:
```bash
poetry shell
python tutorials/01_basics_and_io/image_rotation.py
```