A Computer Vision library with high-level functions for educational purposes.
Project description
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:
pip install etuCV
Usage
Here is a simple example of how to use the library to detect Harris corners in an image:
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.
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