Hough-CNN | Hough CNN implementation - new implementation
kandi X-RAY | Hough-CNN Summary
kandi X-RAY | Hough-CNN Summary
Hough-CNN is a Python library. Hough-CNN has no bugs, it has no vulnerabilities and it has low support. However Hough-CNN build file is not available. You can download it from GitHub.
Hough CNN implementation - new implementation from scratch - based on pre-existing V-Net code.
Hough CNN implementation - new implementation from scratch - based on pre-existing V-Net code.
Support
Quality
Security
License
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Support
Hough-CNN has a low active ecosystem.
It has 11 star(s) with 5 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
Hough-CNN has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Hough-CNN is current.
Quality
Hough-CNN has no bugs reported.
Security
Hough-CNN has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Hough-CNN 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
Hough-CNN releases are not available. You will need to build from source code and install.
Hough-CNN 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 has reviewed Hough-CNN and discovered the below as its top functions. This is intended to give you an instant insight into Hough-CNN implemented functionality, and help decide if they suit your requirements.
- Resample results from a numpy label .
- load training data manager
- Cast votes and segmentation .
- return numpy array data
- Calculate the histogram of two images .
- Generates randomly deformed image .
- Generate a randomly translated image .
- Compute the quality measure of a given image .
- Visualize an ndarray .
Get all kandi verified functions for this library.
Hough-CNN Key Features
No Key Features are available at this moment for Hough-CNN.
Hough-CNN Examples and Code Snippets
No Code Snippets are available at this moment for Hough-CNN.
Community Discussions
No Community Discussions are available at this moment for Hough-CNN.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Hough-CNN
You can download it from GitHub.
You can use Hough-CNN 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 Hough-CNN 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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