funimag | Compression , denoising and demixing of functional imaging | Machine Learning library
kandi X-RAY | funimag Summary
kandi X-RAY | funimag Summary
funimag is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. funimag has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
We introduce a pipeline to compress, denoise, and demix* several types of functional imaging recordings including:.
We introduce a pipeline to compress, denoise, and demix* several types of functional imaging recordings including:.
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Quality
Security
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funimag has a low active ecosystem.
It has 26 star(s) with 6 fork(s). There are 8 watchers for this library.
It had no major release in the last 6 months.
There are 2 open issues and 0 have been closed. On average issues are closed in 481 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of funimag is current.
Quality
funimag has 0 bugs and 0 code smells.
Security
funimag has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
funimag code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
funimag is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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funimag releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed funimag and discovered the below as its top functions. This is intended to give you an instant insight into funimag implemented functionality, and help decide if they suit your requirements.
- Demo the image
- Calculates the correlation coefficient of a 3D image
- R Calculates the correlation coefficient for each pixel
- Generate the pixel - norm of a matrix
- Write a PDF file
- Plot a dataain plot
- Places trace characteristics
- Compute bounding box
- Demix the whole data in the input data
- Solve the least squares solution of the linear system
- This function updates the L2 background image
- Core function for vanilla MNLS
- Plot spatial filter spectrum
- Plots the Ranks sum plot
- Plot correlation trace
- Calculates the correlation coefficient between two points
- Plot the correlation matrix
- Plot the SNR per frame
- Plot the spatial component of a matrix
- R Compute the matching projection of two matrices
- Perform a vanilla NMF Lasso
- Calculate the correlation coefficient
- R Compute the compression of rx
- Plots the intensialized correlation plot
- R Extract the pure superpixels of an image
- Find the super pixel components of the image
Get all kandi verified functions for this library.
funimag Key Features
No Key Features are available at this moment for funimag.
funimag Examples and Code Snippets
No Code Snippets are available at this moment for funimag.
Community Discussions
Trending Discussions on funimag
QUESTION
{React Native} Async\Await not working properly with setSate
Asked 2020-May-07 at 19:16
Can someone help me understand what I am not doing correctly? Consider this simple code
...ANSWER
Answered 2020-May-06 at 10:55The code doesn't work because your forEach is running async code. Which means it will finish running after you set your images. Here's a fix with some explanations in comments -
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install funimag
After installing the dependencies, install from the master branch as:. Note: We currently only support Linux OS (tested on Ubuntu 16.04 and 18.04).
code-block:: shell git clone https://github.com/paninski-lab/FunImag.git funimag cd funimag pip install -e .
code-block:: shell git clone https://github.com/paninski-lab/FunImag.git funimag cd funimag pip install -e .
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 .
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