An OpenCV utility package for additional utility functions for probability and statistical operations.
Project description
OpenCV Utility Utility
This Python library provides a simplified and powerful interface for working with Utility transformations using OpenCV. It is designed for tasks like perspective transformations, image stitching, planar mapping, and object alignment. The library abstracts complex OpenCV functionality into user-friendly methods for developers and researchers.
Features
Compute Utility matrix from corresponding points. Apply perspective transformations to images. Visualize transformed images with overlays. Error calculation and optimization for Utility accuracy. Export and import Utility matrices for reuse.
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
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file opencv_statistical_tools-0.1.3.tar.gz.
File metadata
- Download URL: opencv_statistical_tools-0.1.3.tar.gz
- Upload date:
- Size: 3.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2c57b5b336fd3ef7cef2efe8d85e44b2652b3421d7786f3c5f977478ffcfb549
|
|
| MD5 |
ad3b3befb1dd87bfdedeb0bd8633951a
|
|
| BLAKE2b-256 |
4bee4c80627239619f732f3e398cb9879f82f2db11ba9a662d51ed2e9fc75ccf
|
File details
Details for the file opencv_statistical_tools-0.1.3-py3-none-any.whl.
File metadata
- Download URL: opencv_statistical_tools-0.1.3-py3-none-any.whl
- Upload date:
- Size: 18.6 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ac8ca6e5b662b8e50fcc283441b9fe3a00349a9af741acc706e99649bbbe8a76
|
|
| MD5 |
9bf638075ffabaa3ed0069d1ef33adbc
|
|
| BLAKE2b-256 |
2f1438ae0e591436bc5232e2d247782b6ef4e6487719a17e282111c056b5ff00
|
