Skip to main content

A collection of tools to help facilitate computer vision operations.

Project description

Issues PyPi Conda MIT License

CV-PyTorch

Installation

pip install cv-pytorch

or

conda install -c jmenjivar cv-pytorch

Use Cases

CV-PyTorch is a collection of tools to help facilitate computer vision operations.

Some of the tools in this library can be very useful to pre-process images before feeding to deep networks. However, the uses are not limited to pre-processing, you can perform a wide variety of operations that are helpful in many fields of work.

Why?

The re-implementation of these tools in PyTorch has the advantage of being significantly faster than other libraries using NumPy, etc.

Supported Operations

Corner Detection (Harris)

Pair Matching (SIFT)

Inlier Detection (RANSAC)

Pixel Matching

N Image Stitching

This is an example of 3 images stitched together:

Gaussian Smoothing

Sharpening

Orientation

Magnitude

Scaling (No Interpolation)

Scaling (Bilinear Interpolation)

Edge Detection (Canny)

Line Detection (Hough)

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

cv-pytorch-0.0.8.tar.gz (16.0 kB view hashes)

Uploaded Source

Built Distribution

cv_pytorch-0.0.8-py3-none-any.whl (20.8 kB view hashes)

Uploaded Python 3

Supported by

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