PythonSIFT | concise Python implementation of SIFT | Computer Vision library

by rmislam Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | PythonSIFT Summary

PythonSIFT is a Python library typically used in Artificial Intelligence, Computer Vision, Deep Learning, OpenCV, Numpy applications. PythonSIFT has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However PythonSIFT build file is not available. You can download it from GitHub.

This is an implementation of SIFT (David G. Lowe's scale-invariant feature transform) done entirely in Python with the help of NumPy. This implementation is based on OpenCV's implementation and returns OpenCV KeyPoint objects and descriptors, and so can be used as a drop-in replacement for OpenCV SIFT. This repository is intended to help computer vision enthusiasts learn about the details behind SIFT. PythonSIFT has been reimplemented (and greatly improved!) in Python 3. You can find the original Python 2 version in the legacy branch. However, I strongly recommend you use master (the new Python 3 implementation). It's much better.

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Support

PythonSIFT has a low active ecosystem.

It has 750 star(s) with 238 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 26 have been closed. On average issues are closed in 53 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of PythonSIFT is current.

Quality

PythonSIFT has 0 bugs and 0 code smells.

Security

PythonSIFT has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

PythonSIFT code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

PythonSIFT is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

PythonSIFT releases are not available. You will need to build from source code and install.

PythonSIFT has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

PythonSIFT saves you 141 person hours of effort in developing the same functionality from scratch.

It has 354 lines of code, 17 functions and 2 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed PythonSIFT and discovered the below as its top functions. This is intended to give you an instant insight into PythonSIFT implemented functionality, and help decide if they suit your requirements.

Generate key points and descriptors for a given image
Generate descriptors for keypoints
Compute keypoint with orientation and orientation
Localize an extrema using a quadratic fit
Finds the scale - space extrema extrema
Checks if the given image is a valid image
Compute the Hessian of a pixel
Removes duplicate keypoints
Generate Gaussian images
Generate Gaussian kernels based on sigma
Generate the Difference - of - Gaussian
Convert keypoints to input image size
Computes the gradient at the center of the pixel
Unpack the octave layer
Generate base image
Compute the number of octaves in the image

Get all kandi verified functions for this library.

PythonSIFT Key Features

No Key Features are available at this moment for PythonSIFT.

PythonSIFT Examples and Code Snippets

No Code Snippets are available at this moment for PythonSIFT.

Community Discussions

Trending Discussions on PythonSIFT

IndexError: while running generalized hough transform on my data, why?

QUESTION

IndexError: while running generalized hough transform on my data, why?

Asked 2018-Feb-28 at 04:01

I am trying to apply the available generalized hough transform (GHT) on my own data. the program is running very well on the provided sample data, however, for my data once it reaches to this line it is giving error: My data has been saves into two numpy arrays in main function:

...

ANSWER

Answered 2018-Feb-28 at 04:01

This error message states that the indices should be only integers. And as you can see, table is a list of vectors and each vector is a 2d-vector as you stated in the question.

So, vector[0] and vector[1] are mostly float and indices of a matrix must be integer. That's why it points the error at line 43.

Source https://stackoverflow.com/questions/49019469

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install PythonSIFT

You can download it from GitHub.
You can use PythonSIFT like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

Anyone is welcome to report and/or fix any bugs. I will resolve any opened issues as soon as possible. Any questions about the implementation, no matter how simple, are welcome. I will patiently explain my code to you.

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