Converts vectors into drawings.
Project description
Vec2Face
Functions that illustrate a vector as a drawing of a face.
The functions are derived from the Helen dataset [1]. This project is inspired by Chernoff Faces. The approach for creating the functions is explained in this blog post
In theory, vectors near each other will have similar faces.
Usage
The package includes pretrained functions for illustrating data points.
Initialize by providing the number of dimensions of the data points in the source dataset.
v2f = Vec2Face(dims=16)
v2f.draw_vec(vec)
Dev
pip install -e .
pip install -r requirements-dev.txt
[1] Interactive Facial Feature Localization Vuong Le, Jonathan Brandt, Zhe Lin, Lubomir Boudev, Thomas S. Huang. ECCV2012
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file vec2face-0.0.1a1.tar.gz
.
File metadata
- Download URL: vec2face-0.0.1a1.tar.gz
- Upload date:
- Size: 467.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.6.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | cdb9e22b2da471fa9c4490c6381347fc5680eef8e56885d23dfd7d7a577c1936 |
|
MD5 | a256d07b48c655fc05093e61dd121335 |
|
BLAKE2b-256 | b689f5dc06a1769183f2e3bc2e0269b4aa371b33b7a9da2b665ae5b79e8c5ef3 |