landmark-detection | Four landmark detection algorithms, implemented in PyTorch | Computer Vision library

by D-X-Y Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | landmark-detection Summary

landmark-detection is a Python library typically used in Artificial Intelligence, Computer Vision, Deep Learning, Pytorch applications. landmark-detection has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. However landmark-detection build file is not available. You can download it from GitHub.

This project contains three landmark detection algorithms, implemented in PyTorch.

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Quality

Security

License

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Support

landmark-detection has a medium active ecosystem.

It has 898 star(s) with 179 fork(s). There are 34 watchers for this library.

It had no major release in the last 6 months.

There are 14 open issues and 73 have been closed. On average issues are closed in 22 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of landmark-detection is current.

Quality

landmark-detection has 0 bugs and 0 code smells.

Security

landmark-detection has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

landmark-detection code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

landmark-detection 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

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

landmark-detection has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

landmark-detection saves you 10459 person hours of effort in developing the same functionality from scratch.

It has 21252 lines of code, 1090 functions and 246 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Main function for the StM regression
Helper function for debugging
Denormalize points
Convert an image to an image
Main function for the StM heatmap
Helper function to save multiple images
Denormalize a batch of points
Load image file
Generates panoptic
Main function for x_sbr
Main function
Main regression function
Main regression
Generate a list of 300w files
Train lk learn
Generates a human 3 - 6 matrix from the metadata
Basic train function
Wrapper for debugging
Evaluate the model
Generate a list of images
Load a list of files
Create a frame script
Generate WFLW list
Train cycle -gan
Save all faces to a list
Save training data to file

Get all kandi verified functions for this library.

landmark-detection Key Features

No Key Features are available at this moment for landmark-detection.

landmark-detection Examples and Code Snippets

No Code Snippets are available at this moment for landmark-detection.

Community Discussions

Trending Discussions on landmark-detection

How to get specific landmark of face like lips or eyes using tensorflow.js face-landmark-detection model

QUESTION

How to get specific landmark of face like lips or eyes using tensorflow.js face-landmark-detection model

Asked 2021-Mar-16 at 09:31

I am trying to change the shape and position of eyes and lips and for this purpose I use tenserflow.js face-landmark-detection model. I get the all 468 facial landmarks but the problem is i don't know and i never find any solution on internet how to get the position of only required landmark like lips and eyes. I get all the points but want to apply changes on lips and eyes how i apply changes only on these landmarks.

...

ANSWER

Answered 2021-Mar-16 at 05:47

The coordinates of are available here.

You can refer to the mesh image example which has the points as well but you would need to zoom in and check them manually.

These are the exact coordinates that you would need for your use case.

Source https://stackoverflow.com/questions/66649492

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

Vulnerabilities

No vulnerabilities reported

Install landmark-detection

You can download it from GitHub.
You can use landmark-detection 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.