Deep-Segmentation-and-Registration-in-X-Ray-Angiography-Video | Final Year Project , Imperial College London
kandi X-RAY | Deep-Segmentation-and-Registration-in-X-Ray-Angiography-Video Summary
kandi X-RAY | Deep-Segmentation-and-Registration-in-X-Ray-Angiography-Video Summary
Deep-Segmentation-and-Registration-in-X-Ray-Angiography-Video is a Python library. Deep-Segmentation-and-Registration-in-X-Ray-Angiography-Video has no bugs, it has no vulnerabilities and it has low support. However Deep-Segmentation-and-Registration-in-X-Ray-Angiography-Video build file is not available. You can download it from GitHub.
Final Year Project , Imperial College London
Final Year Project , Imperial College London
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Quality
Security
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Support
Deep-Segmentation-and-Registration-in-X-Ray-Angiography-Video has a low active ecosystem.
It has 8 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
There are 0 open issues and 2 have been closed. On average issues are closed in 172 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Deep-Segmentation-and-Registration-in-X-Ray-Angiography-Video is current.
Quality
Deep-Segmentation-and-Registration-in-X-Ray-Angiography-Video has 0 bugs and 0 code smells.
Security
Deep-Segmentation-and-Registration-in-X-Ray-Angiography-Video has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
Deep-Segmentation-and-Registration-in-X-Ray-Angiography-Video code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
Deep-Segmentation-and-Registration-in-X-Ray-Angiography-Video 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
Deep-Segmentation-and-Registration-in-X-Ray-Angiography-Video releases are not available. You will need to build from source code and install.
Deep-Segmentation-and-Registration-in-X-Ray-Angiography-Video has no build file. You will be need to create the build yourself to build the component from source.
It has 1224 lines of code, 70 functions and 18 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed Deep-Segmentation-and-Registration-in-X-Ray-Angiography-Video and discovered the below as its top functions. This is intended to give you an instant insight into Deep-Segmentation-and-Registration-in-X-Ray-Angiography-Video implemented functionality, and help decide if they suit your requirements.
- Calculate flow error
- Main function .
- Make a color wheel .
- Get unet tensor .
- Compute the color from u and v .
- Visualize flow .
- Initialize the model .
- Resample image .
- Warp an image .
- Convert flow to image
Get all kandi verified functions for this library.
Deep-Segmentation-and-Registration-in-X-Ray-Angiography-Video Key Features
No Key Features are available at this moment for Deep-Segmentation-and-Registration-in-X-Ray-Angiography-Video.
Deep-Segmentation-and-Registration-in-X-Ray-Angiography-Video Examples and Code Snippets
No Code Snippets are available at this moment for Deep-Segmentation-and-Registration-in-X-Ray-Angiography-Video.
Community Discussions
No Community Discussions are available at this moment for Deep-Segmentation-and-Registration-in-X-Ray-Angiography-Video.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Deep-Segmentation-and-Registration-in-X-Ray-Angiography-Video
You can download it from GitHub.
You can use Deep-Segmentation-and-Registration-in-X-Ray-Angiography-Video 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.
You can use Deep-Segmentation-and-Registration-in-X-Ray-Angiography-Video 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 .
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