Image-Reconstruction | Image reconstruction from a diffraction pattern | 3D Printing library

by cwgoddard Python Version: Current License: No License

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

kandi X-RAY | Image-Reconstruction Summary

Image-Reconstruction is a Python library typically used in Modeling, 3D Printing applications. Image-Reconstruction has no bugs, it has no vulnerabilities and it has low support. However Image-Reconstruction build file is not available. You can download it from GitHub.

Image reconstruction from a diffraction pattern

Support

Quality

Security

License

Reuse

Support

Image-Reconstruction has a low active ecosystem.

It has 17 star(s) with 6 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

Image-Reconstruction has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Image-Reconstruction is current.

Quality

Image-Reconstruction has no bugs reported.

Security

Image-Reconstruction has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Image-Reconstruction does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

Image-Reconstruction releases are not available. You will need to build from source code and install.

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

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Image-Reconstruction

Get all kandi verified functions for this library.

Image-Reconstruction Key Features

No Key Features are available at this moment for Image-Reconstruction.

Image-Reconstruction Examples and Code Snippets

No Code Snippets are available at this moment for Image-Reconstruction.

Community Discussions

Trending Discussions on Image-Reconstruction

Fourier Transform 2D artifact - what am I doing wrong?

QUESTION

Fourier Transform 2D artifact - what am I doing wrong?

Asked 2018-Feb-22 at 03:50

So currently I'm trying to wrap my head around the fourier transform (in 2D). I wanted to fourier transform an image and return back in only the magnitude spectrum just like this topic on this site:

https://dsp.stackexchange.com/questions/16995/image-reconstructionphase-vs-magnitude

However my image (using spyder ide) comes out like this with some weird artificant in the middle, using the same image from the link above.

original image

Magnitude spectrum

The code that I'm using is in python using numpy (np), opencv2 and matplotlib:

...

ANSWER

Answered 2018-Feb-19 at 13:41

You can try changing the np.uint8 to np.abs. Since you want clipping above 255 and not modulus you should do something like this:

Source https://stackoverflow.com/questions/48865868

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

Vulnerabilities

No vulnerabilities reported

Install Image-Reconstruction

You can download it from GitHub.
You can use Image-Reconstruction 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

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: