densepose-demo-guide | This resumes the steps for make to run the facebook

by stanlee321 Python Version: Current License: GPL-3.0

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

kandi X-RAY | densepose-demo-guide Summary

densepose-demo-guide is a Python library. densepose-demo-guide has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However densepose-demo-guide build file is not available. You can download it from GitHub.

This resumes the steps for make to run the facebook's densepose algorithm.

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Quality

Security

License

Reuse

Support

densepose-demo-guide has a low active ecosystem.

It has 2 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

densepose-demo-guide has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of densepose-demo-guide is current.

Quality

densepose-demo-guide has no bugs reported.

Security

densepose-demo-guide has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

densepose-demo-guide is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

densepose-demo-guide releases are not available. You will need to build from source code and install.

densepose-demo-guide has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed densepose-demo-guide and discovered the below as its top functions. This is intended to give you an instant insight into densepose-demo-guide implemented functionality, and help decide if they suit your requirements.

Visualize one image .
Main function .
Visualize keypoints .
Visualize a single image .
parse command line arguments
Convert boxes from cls format .
Return a list of keypoints
Apply a visual filter to an image .
Visualize a class .
Visualize a bounding box .

Get all kandi verified functions for this library.

densepose-demo-guide Key Features

No Key Features are available at this moment for densepose-demo-guide.

densepose-demo-guide Examples and Code Snippets

No Code Snippets are available at this moment for densepose-demo-guide.

Community Discussions

No Community Discussions are available at this moment for densepose-demo-guide.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install densepose-demo-guide

The DensePose-RCNN system is implemented within the detectron framework. Caffe2 is now merged into pytorch-nightly. To install Caffe2 with CUDA support, follow the installation instructions from the Caffe2 website. If you already have Caffe2 installed, make sure to update your Caffe2 to a version that includes the Detectron module.
NVIDIA GPU, Linux, Python2
Caffe2
Various standard Python packages, and the COCO API; Instructions for installing these dependencies are found below

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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