Skip to main content

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

etucv-0.0.2.tar.gz (4.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

etucv-0.0.2-py3-none-any.whl (4.6 kB view details)

Uploaded Python 3

File details

Details for the file etucv-0.0.2.tar.gz.

File metadata

  • Download URL: etucv-0.0.2.tar.gz
  • Upload date:
  • Size: 4.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.9

File hashes

Hashes for etucv-0.0.2.tar.gz
Algorithm Hash digest
SHA256 1f53602b4118f32f2eb3339df9030c489f04fc99f6f4f30ab044cca0772047ee
MD5 d95a6264cfd625479f2c15734768c5ec
BLAKE2b-256 edfa2b1db14dbd0cbea185d17722faa1ef4570b5bdf1b5605be741abc5fb358e

See more details on using hashes here.

File details

Details for the file etucv-0.0.2-py3-none-any.whl.

File metadata

  • Download URL: etucv-0.0.2-py3-none-any.whl
  • Upload date:
  • Size: 4.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.9

File hashes

Hashes for etucv-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 c2d24193247278b6af8c88e8d8cb00070d65c994bfab3e5bc818c50e9f3a60f0
MD5 9db08c50724438155746b2d395d32445
BLAKE2b-256 8f8d5719ba690609d7f20da35778f3b6f1e4c781bace85fb0f9826622c5e0a9b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page