Faster-RCNN | Faster RCNN is implemented
kandi X-RAY | Faster-RCNN Summary
kandi X-RAY | Faster-RCNN Summary
Faster-RCNN is a Python library. Faster-RCNN 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.
Faster RCNN is implemented
Faster RCNN is implemented
Support
Quality
Security
License
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Support
Faster-RCNN has a low active ecosystem.
It has 2 star(s) with 0 fork(s). There are no watchers for this library.
It had no major release in the last 6 months.
Faster-RCNN has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Faster-RCNN is current.
Quality
Faster-RCNN has no bugs reported.
Security
Faster-RCNN has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Faster-RCNN is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
Faster-RCNN 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.
Top functions reviewed by kandi - BETA
kandi has reviewed Faster-RCNN and discovered the below as its top functions. This is intended to give you an instant insight into Faster-RCNN implemented functionality, and help decide if they suit your requirements.
- Calculates the rpn features for the network .
- Extracts the data from the input files
- Calculate the II angle .
- Convert rpn layer to ROI .
- Call the roi function .
- Augment the image .
- Generate a list of non - maximum suppression .
- Calculate the thumbnail region of the image .
- Compute the map for the bounding box .
- Base function .
Get all kandi verified functions for this library.
Faster-RCNN Key Features
No Key Features are available at this moment for Faster-RCNN.
Faster-RCNN Examples and Code Snippets
No Code Snippets are available at this moment for Faster-RCNN.
Community Discussions
No Community Discussions are available at this moment for Faster-RCNN.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Faster-RCNN
You can download it from GitHub.
You can use Faster-RCNN 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 Faster-RCNN 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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