Helpful functions for Computer Vision tasks
Project description
🦌 Kano - Utilities for your Computer Vision Projects
Kano is a Python package providing utility functions for Computer Vision tasks. Its primary focus is simplifying lengthy functions, allowing developers to concentrate more on the main processes.
📥 Installation
The latest released version is available on PyPI. You can install it by running the following command in your terminal:
pip install kano-cv
🚀 Usage
Explore the Kano Document to learn how to use supported functions and see examples. Kano currently provides utilities for these groups:
- Common tasks:
- Computer vision tasks:
- YOLO-formatted Dataset
- Object Detection
- Pose Estimation (In progress)
- Object Segmentation (In progress)
🙋♂️ Contributing to Kano
All contributions, bug reports, bug fixes, enhancements, and ideas are welcome. Feel free to create pull requests or issues so that we can improve this library together.
🔑 License
Kano is licensed under the MIT license.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file kano_cv-1.13.3.tar.gz.
File metadata
- Download URL: kano_cv-1.13.3.tar.gz
- Upload date:
- Size: 17.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.0.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | a4d2e2a603d6071bb8b979b981d37d1cad0656d66c31e004db935f2744dd957e |
|
| MD5 | f69c1a8d1ae1c132af9c36aaa5fc5dea |
|
| BLAKE2b-256 | 9960dff69c69d2e7bf1f8772dc5f12daeb6b5eac258254f2d42324bd28c6fce7 |
File details
Details for the file kano_cv-1.13.3-py3-none-any.whl.
File metadata
- Download URL: kano_cv-1.13.3-py3-none-any.whl
- Upload date:
- Size: 18.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.0.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 9333c90bdf443e4ac427b5c8492213adfcf82adc2b7032f0691a729ef8a0f85e |
|
| MD5 | 99e23c77ce228278451ab7c75b4d04e6 |
|
| BLAKE2b-256 | 966805b6385a20cb02ca1f39f634005129536a3833d9501cb9328135c8faafbb |
