kandi X-RAY | MTCNN-keras Summary
kandi X-RAY | MTCNN-keras Summary
MTCNN-keras is a Python library. MTCNN-keras 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.
MTCNN-keras
MTCNN-keras
Support
Quality
Security
License
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Support
MTCNN-keras has a low active ecosystem.
It has 4 star(s) with 2 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
MTCNN-keras has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of MTCNN-keras is current.
Quality
MTCNN-keras has no bugs reported.
Security
MTCNN-keras has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
MTCNN-keras is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
MTCNN-keras 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 MTCNN-keras and discovered the below as its top functions. This is intended to give you an instant insight into MTCNN-keras implemented functionality, and help decide if they suit your requirements.
- Main function .
- Generate face logo image .
- Save hard examples .
- Predict the image with ov2 .
- Create bbox dataset .
- Pad bounding boxes .
- Create label dataset .
- Compute NMS of bounding boxes .
- Compute the distance between bounding boxes .
- Generate a bounding box .
Get all kandi verified functions for this library.
MTCNN-keras Key Features
No Key Features are available at this moment for MTCNN-keras.
MTCNN-keras Examples and Code Snippets
No Code Snippets are available at this moment for MTCNN-keras.
Community Discussions
No Community Discussions are available at this moment for MTCNN-keras.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install MTCNN-keras
You can download it from GitHub.
You can use MTCNN-keras 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 MTCNN-keras 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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