prnet-infer | C11 port of YadiraF 's PRNet

by lighttransport C Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | prnet-infer Summary

prnet-infer is a C library. prnet-infer has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

PRNetInfer is a C++11 port of PRNet using Tensorflow with C API(Inference only).

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Quality

Security

License

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Support

prnet-infer has a low active ecosystem.

It has 69 star(s) with 9 fork(s). There are 16 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 3 have been closed. On average issues are closed in 202 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of prnet-infer is current.

Quality

prnet-infer has 0 bugs and 0 code smells.

Security

prnet-infer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

prnet-infer code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

prnet-infer 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

prnet-infer releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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prnet-infer Key Features

No Key Features are available at this moment for prnet-infer.

prnet-infer Examples and Code Snippets

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Community Discussions

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Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install prnet-infer

Build TensorFlow with C API supoort. We recommend to use prebuilt package of TensorFlow for C.
Edit TensorFlow for C path in bootstrap-c.sh, then. Disable DLIB and GUI support in bootstrap-c.sh if you don't have dlib and/or X11 installed on your system.
We recommend to use prebuilt package from. since their prebuilt package contains .lib(import library) which is required for linking in Visual Studio. Edit TensorFlow for C path in vcsetup.bat, then. You can use following procedure if you use bash terminal(e.g. git for Windows).
Prepare 256x256 input image. Input image must contain face area by manual cropping. Here is an example of creating 256x256 pixel image using ImageMagick. (Do not forget to append ! to image extent).
Face are is automatically detected and cropped using dlib so you can use arbitrary sized image unless dlib can detect a face.