Skip to main content

Facial Cosine Similarity,Face Golden Ratio Calculation And Facial Landmark Detecting/Drawing Library

Project description

Welcome To GoldenFace

An Image Processing Library About Calculating Face Golden Ratio, Facial Cosine Similarity and More

please visit for manual => Manual Page

Github => Manual Page

Ümit Aksoylu 2021 © M.I.T License Please check example.py for practical usage.

Installing Library:

pip install GoldenFace

Required Libraries (Dependencies)

opencv-python

Core Functions

Reading a face image as goldenFace object:

umitFace = GoldenFace.goldenFace("umit.png")

Printing face vectors:

print(umitFace.face2Vec())

Printing Geometric Facial Golden Ratio (Between 0-100):

print(umitFace.geometricRatio())

Printing Facial Cosine Similarity With A Golden Face (Between 1.0-0):

print(umitFace.similarityRatio())

Saving a goldenFace objects vectors as json file:

umitFace.saveFaceVec("umitFaceVectors.json")

Reading a face as vectors from json file:

loadedFace = functions.loadFaceVec("face.json")

Calculating face similarity between two face:

print(umitFace.faceSimilarity(loadedFace))

Get Info From GoldenFace Object

Get all facial landmark points

print(umitFace.getLandmarks())

Get all facial important points

print(umitFace.getFacialPoints())

Get face borders

print(umitFace.getFaceBorder())

Calculating Functions

Calculate Trichion-Glabella-Subnazale-Menton Deflection on face

print(umitFace.calculateTGSM())

Calculate Column Parsed line Deflection on face

print(umitFace.calculateVFM())

Calculate Trichion-Zygoma-Menton Deflection

print(umitFace.calculateVFM())

Calculate Trichion-Subnazale-Menton Deflection

print(umitFace.calculateTSM())

Calculate Lateral cantus-Chelion Deflection

print(umitFace.calculateLC())

Drawing Functions

These functions allow you to draw landmarks/ border lines on face

color = (255,255,0)

Draw a cover on face

umitFace.drawFaceCover(color)

Draw border lines on face

umitFace.drawLandmark(color)

Draw Trichion-Zygoma-Menton line on face

umitFace.drawTZM(color)

Draw Trichion-Glabella-Subnazale-Menton line on face

umitFace.drawTGSM(color)

Draw Column Parsed line on face

umitFace.drawVFM(color)

Draw Trichion-Subnazale-Menton line on face

umitFace.drawTSM(color)

Draw Lateral cantus-Chelion

umitFace.drawLC(color)

Draw facial golden ratio mask on face

umitFace.drawMask(color)

Draw facial important points on face

umitFace.drawFacialPoints(color)

Draw all landmark points on face

umitFace.drawLandmarks(color)

Write processed goldenFace object as image:

umitFace.writeImage("umit_analyzed.jpeg")

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

GoldenFace-1.1-py3-none-any.whl (37.7 MB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page