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Anonymize Stream

Blur faces in real-time video streams for privacy protection.

Work in Progress

This page contains example code patterns. Test thoroughly before using in production.

Webcam Anonymization

import cv2
from uniface.detection import RetinaFace
from uniface.privacy import BlurFace

detector = RetinaFace()
blurrer = BlurFace(method='pixelate')
cap = cv2.VideoCapture(0)

while True:
    ret, frame = cap.read()
    if not ret:
        break

    faces = detector.detect(frame)
    frame = blurrer.anonymize(frame, faces, inplace=True)

    cv2.imshow('Anonymized', frame)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

cap.release()
cv2.destroyAllWindows()

Video File Anonymization

import cv2
from uniface.detection import RetinaFace
from uniface.privacy import BlurFace

detector = RetinaFace()
blurrer = BlurFace(method='gaussian')

cap = cv2.VideoCapture("input.mp4")
fps = cap.get(cv2.CAP_PROP_FPS)
w, h = int(cap.get(3)), int(cap.get(4))

out = cv2.VideoWriter('output.mp4', cv2.VideoWriter_fourcc(*'mp4v'), fps, (w, h))

while cap.read()[0]:
    ret, frame = cap.read()
    if not ret:
        break

    faces = detector.detect(frame)
    blurrer.anonymize(frame, faces, inplace=True)
    out.write(frame)

cap.release()
out.release()

Single Image

import cv2
from uniface.detection import RetinaFace
from uniface.privacy import BlurFace

detector = RetinaFace()
blurrer = BlurFace(method='pixelate')

image = cv2.imread("photo.jpg")
faces = detector.detect(image)
result = blurrer.anonymize(image, faces)
cv2.imwrite("anonymized.jpg", result)

Available Blur Methods

Method Usage
Pixelate BlurFace(method='pixelate', pixel_blocks=15)
Gaussian BlurFace(method='gaussian', blur_strength=3.0)
Blackout BlurFace(method='blackout', color=(0,0,0))
Elliptical BlurFace(method='elliptical', margin=20)
Median BlurFace(method='median', blur_strength=3.0)

See Also