face3d | Python tools for 3D face | Computer Vision library

by YadiraF Python Version: Current License: No License

X-Ray Key Features Code Snippets(3)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | face3d Summary

face3d is a Python library typically used in Artificial Intelligence, Computer Vision applications. face3d has no bugs, it has no vulnerabilities and it has medium support. However face3d build file is not available. You can download it from GitHub.

This project implements some basic functions related to 3D faces. You can use this to process mesh data, generate 3D faces from morphable model, reconstruct 3D face with a single image and key points as inputs, render faces with difference lightings(for more, please see examples). In the beginning, I wrote this project for learning 3D face reconstruction and for personal research use, so all the codes are written in python(numpy). However, some functions(eg. rasterization) can not use vectorization to optimize, writing them in python is too slow to use, then I choose to write these core parts in c++(without any other big libraries, such as opencv, eigen) and compile them with Cython for python use. So the final version is very lightweight and fast. In addition, the numpy version is also retained, considering that beginners can focus on algorithms themselves in python and researches can modify and verify their ideas quickly. I also try my best to add references/formulas in each function, so that you can learn basic knowledge and understand the codes. For more information and researches related to 3D faces, please see 3D face papers.

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face3d has a medium active ecosystem.

It has 1725 star(s) with 449 fork(s). There are 63 watchers for this library.

It had no major release in the last 6 months.

There are 66 open issues and 12 have been closed. On average issues are closed in 0 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of face3d is current.

Quality

face3d has 0 bugs and 0 code smells.

Security

face3d has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

face3d code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

face3d does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

face3d releases are not available. You will need to build from source code and install.

face3d 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.

face3d saves you 702 person hours of effort in developing the same functionality from scratch.

It has 1624 lines of code, 81 functions and 26 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed face3d and discovered the below as its top functions. This is intended to give you an instant insight into face3d implemented functionality, and help decide if they suit your requirements.

Fit a set of points
Estimate points for a given model
Estimate expression
Render a texture
Check if point is in triangle coordinates
Calculate weight for a given point
Runs a posemap on an image
Generates vertices
Lookup the vertices in the given eye
Normalize a matrix
Render matplotlib colors
Generate rasterize from triangles
Fit an image to a given image
Calculate the normal vector
Return a new parameter array
Convert uv coordinates to z
Generate vertices
Evaluate a single image
Get shape parameter
Generate the colors
Transform an object into an image
Rotate vertices
Add a light color to a mesh
R Adds a light
Render color image
Returns a numpy array

Get all kandi verified functions for this library.

face3d Key Features

No Key Features are available at this moment for face3d.

face3d Examples and Code Snippets

face3d: Python tools for processing 3D face,Structure

Python

Lines of Code : 18

License : No License

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# Since triangle mesh is the most popular representation of 3D face, 
# the main part is mesh processing.
mesh/             # written in python and c++
|  cython/               # c++ files, use cython to compile 
|  io.py                 # read &

Face3D: 3D Face Recognition,Preprocess,Dataset splitting

Jupyter Notebook

Lines of Code : 15

License : No License

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python preprocess/get_dataset_csv.py

vggface3d
|── train.csv
|── eval.csv
|── test.csv
|── dirty.csv
├── n000853
│   ├── 0001_03.npy
│   ├── 0001_03.png
│   ├── 0002_01.npy
│   ├── 0002_01.png
│   ├── 0003_01.npy
│   ├── 0003_01.png
│   ├── 0004_01.

② Generate uv_pos_map

Python

Lines of Code : 13

License : No License

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cd DS_generator
python3 generate_posmap_300WLP.py

Then `300WLP_IBUG` dataset is the proper structure for training PRNet:


- 300WLP_IBUG
 - 0/
  - IBUG_image_xxx.npy
  - original.jpg (original RGB)
  - uv_posmap.jpg (corresponding UV Position Map)

Community Discussions

Trending Discussions on face3d

Ray-triangle intersection algorithm not working

QUESTION

Ray-triangle intersection algorithm not working

Asked 2022-Jan-12 at 02:11

I am writing a raytracer using Java, but I ran into an issue with intersections between rays and triangles. I am using the algorithm given at Scratchapixel, but it is not working properly.

I am testing it using the following code:

...

ANSWER

Answered 2022-Jan-12 at 02:11

The issue was quite simple, I had my cross product implementation wrong, and after that I had to change one line of code.

I changed

Source https://stackoverflow.com/questions/70674273

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

Vulnerabilities

No vulnerabilities reported

Install face3d

You can download it from GitHub.
You can use face3d 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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