Metadata-Version: 2.4
Name: etuCV
Version: 0.0.2
Summary: A Computer Vision library with high-level functions for educational purposes.
Author-email: Avnish Chitrigi <avnishchitrigi.projects@gmail.com>
Project-URL: Homepage, https://github.com/AvnishChitrigi/etuCV.git
Project-URL: Bug Tracker, https://github.com/AvnishChitrigi/etuCV.git/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Education
Classifier: Topic :: Scientific/Engineering :: Image Processing
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: opencv-python-headless
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: scikit-image
Dynamic: license-file

# etuCV

etuCV is a Computer Vision library tailored to a specific university syllabus. It provides high-level, easy-to-use functions for core computer vision algorithms, making it ideal for educational purposes. All image displays are handled by Matplotlib for high-quality, consistent plotting.

## Installation

You can install etuCV using pip:

```bash
pip install etuCV
```

## Usage

Here is a simple example of how to use the library to detect Harris corners in an image:

```python
from etuCV.etuCV import etuCV

# Initialize the library with the path to your image
try:
    vision = etuCV('path/to/your/image.jpg')
    vision.find_harris_corners()
except FileNotFoundError as e:
    print(e)
```    

## Features

*   Laplacian of Gaussian (LoG) edge detection.
*   Difference of Gaussians (DoG) for blob and edge highlighting.
*   Histogram of Oriented Gradients (HOG) feature computation and visualization.
*   Harris Corner detection.
