label_recognizer.py

import numpy as np
import cv2

from utils import CFEVideoConf, image_resize

cap = cv2.VideoCapture(0)

save_path           = 'saved-media/glasses_and_stash.mp4'
frames_per_seconds  = 24
config              = CFEVideoConf(cap, filepath=save_path, res='720p')
out                 = cv2.VideoWriter(save_path, config.video_type, frames_per_seconds, config.dims)
face_cascade        = cv2.CascadeClassifier('cascades/data/haarcascade_frontalface_default.xml')
eyes_cascade        = cv2.CascadeClassifier('cascades/third-party/frontalEyes35x16.xml')
nose_cascade        = cv2.CascadeClassifier('cascades/third-party/Nose18x15.xml')
glasses             = cv2.imread("images/fun/glasses.png", -1)
mustache            = cv2.imread('images/fun/mustache.png',-1)

'''
OpenCV & Python Tutorial Video Series: https://kirr.co/ijcr59
Eyes Cascade (and others): https://kirr.co/694cu1
Nose Cascade / Mustache Post: https://kirr.co/69c1le
'''

while(True):
    # Capture frame-by-frame
    ret, frame = cap.read()
    gray            = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    faces           = face_cascade.detectMultiScale(gray, scaleFactor=1.5, minNeighbors=5)

    frame = cv2.cvtColor(frame, cv2.COLOR_BGR2BGRA)

    for (x, y, w, h) in faces:
        roi_gray    = gray[y:y+h, x:x+h] # rec
        roi_color   = frame[y:y+h, x:x+h]
        #cv2.rectangle(frame, (x, y), (x + w, y + h), (255, 255, 255), 3)