shape_predictor_81_face_landmarks | Custom shape predictor model trained to find | Machine Learning library

by codeniko Python Version: Current License: BSD-3-Clause

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | shape_predictor_81_face_landmarks Summary

shape_predictor_81_face_landmarks is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, OpenCV applications. shape_predictor_81_face_landmarks has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However shape_predictor_81_face_landmarks build file is not available. You can download it from GitHub.

81 Facial Landmarks Shape Predictor.

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shape_predictor_81_face_landmarks has a low active ecosystem.

It has 400 star(s) with 127 fork(s). There are 17 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 12 have been closed. On average issues are closed in 84 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of shape_predictor_81_face_landmarks is current.

Quality

shape_predictor_81_face_landmarks has 0 bugs and 0 code smells.

Security

shape_predictor_81_face_landmarks has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

shape_predictor_81_face_landmarks code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

shape_predictor_81_face_landmarks is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

shape_predictor_81_face_landmarks releases are not available. You will need to build from source code and install.

shape_predictor_81_face_landmarks 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.

shape_predictor_81_face_landmarks saves you 10 person hours of effort in developing the same functionality from scratch.

It has 30 lines of code, 0 functions and 1 files.

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

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shape_predictor_81_face_landmarks Key Features

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shape_predictor_81_face_landmarks Examples and Code Snippets

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Community Discussions

Trending Discussions on shape_predictor_81_face_landmarks

How to crop face regions using convexhull polygons

Is there a way to get the area of the forehead (bounding box) by using opencv/dlib and for a live stream video

QUESTION

How to crop face regions using convexhull polygons

Asked 2021-Feb-23 at 06:47

I am using landmark points from dlib library to select the forehead, nose and eye area from my face based on this question: Is there a way to get the area of the forehead (bounding box) by using opencv/dlib and for a live stream video. It works like a charm and i have the points exactly where i want them, what i would like to do is crop the image where the landmarks are set using convexhull polygons.

What i am trying to do is go from this:

to this:

And save it afterwards

Is there a any way to do it? even if it doesn't look pretty. Here's my current code for facial tracking:

...

ANSWER

Answered 2021-Feb-23 at 06:43

You selected only a subset of the 81 landmarks dlib identifies on a face, and discarded the landmarks associated with the mouth, chin and the outer contour of the face.

You should do an additional selection leaving only the points at the boundary of the region you are interested in. Furthermore, you should order the selected points such that connecting them, in the right order, will form a polygon marking exactly the region you want to crop.

Once you have the polygon you can use this method to crop it:

Use cv2.fillPoly() to draw mask from the polygon.
Get only the cropped polygon portion of the mask from the image using cv2.bitwsie_and().
Get the bounding rect of the cropped region using cv2.boundingRect().

Source https://stackoverflow.com/questions/66264674

QUESTION

Is there a way to get the area of the forehead (bounding box) by using opencv/dlib and for a live stream video

Asked 2020-Sep-07 at 07:50

I've been working on a project to get the forehead area from a live streaming video and not just use and image and crop the forehead like from this example How can i detect the forehead region using opencv and dlib?.

...

ANSWER

Answered 2020-Sep-07 at 07:50

you already find the desired coordinates by:

Source https://stackoverflow.com/questions/63770831

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

Vulnerabilities

No vulnerabilities reported

Install shape_predictor_81_face_landmarks

You can download it from GitHub.
You can use shape_predictor_81_face_landmarks 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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