import cv2
import matplotlib.pyplot as plt
import dlib
from imutils import face_utils

video_capture = cv2.VideoCapture(1)

font = cv2.FONT_HERSHEY_SIMPLEX

cascPath = "lib/python3.7/site-packages/cv2/data/haarcascade_frontalface_default.xml"
eyePath = "lib/python3.7/site-packages/cv2/data/haarcascade_eye.xml"
smilePath = "lib/python3.7/site-packages/cv2/data/haarcascade_smile.xml"

faceCascade = cv2.CascadeClassifier(cascPath)
eyeCascade = cv2.CascadeClassifier(eyePath)
smileCascade = cv2.CascadeClassifier(smilePath)

# Load the image
# gray = cv2.imread('images/face_detect_test.jpeg', 0)

while True:
    # Capture frame-by-frame
    ret, frame = video_capture.read()
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

    # Detect faces
    faces = faceCascade.detectMultiScale(
         gray,
         scaleFactor=1.1,
         minNeighbors=5,
         minSize=(30, 30),
         flags=cv2.CASCADE_SCALE_IMAGE)

    # For each face
    for (x, y, w, h) in faces:
         # Draw rectangle around the face
         cv2.rectangle(frame, (x, y), (x+w, y+h), (255, 255, 255), 3)

    roi_gray = gray[y:y + h, x:x + w]
    roi_color = frame[y:y + h, x:x + w]

    smile = smileCascade.detectMultiScale(
        roi_gray,
        scaleFactor=1.16,
        minNeighbors=35,
        minSize=(25, 25),
        flags=cv2.CASCADE_SCALE_IMAGE
    )

    for (sx, sy, sw, sh) in smile:
        cv2.rectangle(roi_color, (sh, sy), (sx + sw, sy + sh), (255, 0, 0), 2)
        cv2.putText(frame, 'Smile', (x + sx, y + sy), 1, 1, (0, 255, 0), 1)

    eyes = eyeCascade.detectMultiScale(roi_gray)

    for (ex, ey, ew, eh) in eyes:
        cv2.rectangle(roi_color, (ex, ey), (ex + ew, ey + eh), (0, 255, 0), 2)
        cv2.putText(frame, 'Eye', (x + ex, y + ey), 1, 1, (0, 255, 0), 1)

    cv2.putText(frame, 'Number of Faces : ' + str(len(faces)), (40, 40), font, 1, (255, 0, 0), 2)
    # Display the resulting frame
    cv2.imshow('Video', frame)

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

# When everything is done, release the capture
video_capture.release()
cv2.destroyAllWindows()

375a9bf77e727ea3b9aef496e2df8e6bd994cc6d
<mask token>

<mask token>
while True:
    ret, frame = video_capture.read()
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    faces = faceCascade.detectMultiScale(gray, scaleFactor=1.1,
        minNeighbors=5, minSize=(30, 30), flags=cv2.CASCADE_SCALE_IMAGE)
    for x, y, w, h in faces:
        cv2.rectangle(frame, (x, y), (x + w, y + h), (255, 255, 255), 3)
    roi_gray = gray[y:y + h, x:x + w]
    roi_color = frame[y:y + h, x:x + w]
    smile = smileCascade.detectMultiScale(roi_gray, scaleFactor=1.16,
        minNeighbors=35, minSize=(25, 25), flags=cv2.CASCADE_SCALE_IMAGE)
    for sx, sy, sw, sh in smile:
        cv2.rectangle(roi_color, (sh, sy), (sx + sw, sy + sh), (255, 0, 0), 2)
        cv2.putText(frame, 'Smile', (x + sx, y + sy), 1, 1, (0, 255, 0), 1)
    eyes = eyeCascade.detectMultiScale(roi_gray)
    for ex, ey, ew, eh in eyes:
        cv2.rectangle(roi_color, (ex, ey), (ex + ew, ey + eh), (0, 255, 0), 2)
        cv2.putText(frame, 'Eye', (x + ex, y + ey), 1, 1, (0, 255, 0), 1)
    cv2.putText(frame, 'Number of Faces : ' + str(len(faces)), (40, 40),
        font, 1, (255, 0, 0), 2)
    cv2.imshow('Video', frame)
    if cv2.waitKey(1) & 255 == ord('q'):
        break
video_capture.release()
cv2.destroyAllWindows()

<mask token>
video_capture = cv2.VideoCapture(1)
font = cv2.FONT_HERSHEY_SIMPLEX
cascPath = (
    'lib/python3.7/site-packages/cv2/data/haarcascade_frontalface_default.xml')
eyePath = 'lib/python3.7/site-packages/cv2/data/haarcascade_eye.xml'
smilePath = 'lib/python3.7/site-packages/cv2/data/haarcascade_smile.xml'
faceCascade = cv2.CascadeClassifier(cascPath)
eyeCascade = cv2.CascadeClassifier(eyePath)
smileCascade = cv2.CascadeClassifier(smilePath)
while True:
    ret, frame = video_capture.read()
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    faces = faceCascade.detectMultiScale(gray, scaleFactor=1.1,
        minNeighbors=5, minSize=(30, 30), flags=cv2.CASCADE_SCALE_IMAGE)
    for x, y, w, h in faces:
        cv2.rectangle(frame, (x, y), (x + w, y + h), (255, 255, 255), 3)
    roi_gray = gray[y:y + h, x:x + w]
    roi_color = frame[y:y + h, x:x + w]
    smile = smileCascade.detectMultiScale(roi_gray, scaleFactor=1.16,
        minNeighbors=35, minSize=(25, 25), flags=cv2.CASCADE_SCALE_IMAGE)
    for sx, sy, sw, sh in smile:
        cv2.rectangle(roi_color, (sh, sy), (sx + sw, sy + sh), (255, 0, 0), 2)
        cv2.putText(frame, 'Smile', (x + sx, y + sy), 1, 1, (0, 255, 0), 1)
    eyes = eyeCascade.detectMultiScale(roi_gray)
    for ex, ey, ew, eh in eyes:
        cv2.rectangle(roi_color, (ex, ey), (ex + ew, ey + eh), (0, 255, 0), 2)
        cv2.putText(frame, 'Eye', (x + ex, y + ey), 1, 1, (0, 255, 0), 1)
    cv2.putText(frame, 'Number of Faces : ' + str(len(faces)), (40, 40),
        font, 1, (255, 0, 0), 2)
    cv2.imshow('Video', frame)
    if cv2.waitKey(1) & 255 == ord('q'):
        break
video_capture.release()
cv2.destroyAllWindows()

import cv2
import matplotlib.pyplot as plt
import dlib
from imutils import face_utils
video_capture = cv2.VideoCapture(1)
font = cv2.FONT_HERSHEY_SIMPLEX
cascPath = (
    'lib/python3.7/site-packages/cv2/data/haarcascade_frontalface_default.xml')
eyePath = 'lib/python3.7/site-packages/cv2/data/haarcascade_eye.xml'
smilePath = 'lib/python3.7/site-packages/cv2/data/haarcascade_smile.xml'
faceCascade = cv2.CascadeClassifier(cascPath)
eyeCascade = cv2.CascadeClassifier(eyePath)
smileCascade = cv2.CascadeClassifier(smilePath)
while True:
    ret, frame = video_capture.read()
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    faces = faceCascade.detectMultiScale(gray, scaleFactor=1.1,
        minNeighbors=5, minSize=(30, 30), flags=cv2.CASCADE_SCALE_IMAGE)
    for x, y, w, h in faces:
        cv2.rectangle(frame, (x, y), (x + w, y + h), (255, 255, 255), 3)
    roi_gray = gray[y:y + h, x:x + w]
    roi_color = frame[y:y + h, x:x + w]
    smile = smileCascade.detectMultiScale(roi_gray, scaleFactor=1.16,
        minNeighbors=35, minSize=(25, 25), flags=cv2.CASCADE_SCALE_IMAGE)
    for sx, sy, sw, sh in smile:
        cv2.rectangle(roi_color, (sh, sy), (sx + sw, sy + sh), (255, 0, 0), 2)
        cv2.putText(frame, 'Smile', (x + sx, y + sy), 1, 1, (0, 255, 0), 1)
    eyes = eyeCascade.detectMultiScale(roi_gray)
    for ex, ey, ew, eh in eyes:
        cv2.rectangle(roi_color, (ex, ey), (ex + ew, ey + eh), (0, 255, 0), 2)
        cv2.putText(frame, 'Eye', (x + ex, y + ey), 1, 1, (0, 255, 0), 1)
    cv2.putText(frame, 'Number of Faces : ' + str(len(faces)), (40, 40),
        font, 1, (255, 0, 0), 2)
    cv2.imshow('Video', frame)
    if cv2.waitKey(1) & 255 == ord('q'):
        break
video_capture.release()
cv2.destroyAllWindows()

import cv2
import matplotlib.pyplot as plt
import dlib
from imutils import face_utils

video_capture = cv2.VideoCapture(1)

font = cv2.FONT_HERSHEY_SIMPLEX

cascPath = "lib/python3.7/site-packages/cv2/data/haarcascade_frontalface_default.xml"
eyePath = "lib/python3.7/site-packages/cv2/data/haarcascade_eye.xml"
smilePath = "lib/python3.7/site-packages/cv2/data/haarcascade_smile.xml"

faceCascade = cv2.CascadeClassifier(cascPath)
eyeCascade = cv2.CascadeClassifier(eyePath)
smileCascade = cv2.CascadeClassifier(smilePath)

# Load the image
# gray = cv2.imread('images/face_detect_test.jpeg', 0)

while True:
    # Capture frame-by-frame
    ret, frame = video_capture.read()
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

    # Detect faces
    faces = faceCascade.detectMultiScale(
         gray,
         scaleFactor=1.1,
         minNeighbors=5,
         minSize=(30, 30),
         flags=cv2.CASCADE_SCALE_IMAGE)

    # For each face
    for (x, y, w, h) in faces:
         # Draw rectangle around the face
         cv2.rectangle(frame, (x, y), (x+w, y+h), (255, 255, 255), 3)

    roi_gray = gray[y:y + h, x:x + w]
    roi_color = frame[y:y + h, x:x + w]

    smile = smileCascade.detectMultiScale(
        roi_gray,
        scaleFactor=1.16,
        minNeighbors=35,
        minSize=(25, 25),
        flags=cv2.CASCADE_SCALE_IMAGE
    )

    for (sx, sy, sw, sh) in smile:
        cv2.rectangle(roi_color, (sh, sy), (sx + sw, sy + sh), (255, 0, 0), 2)
        cv2.putText(frame, 'Smile', (x + sx, y + sy), 1, 1, (0, 255, 0), 1)

    eyes = eyeCascade.detectMultiScale(roi_gray)

    for (ex, ey, ew, eh) in eyes:
        cv2.rectangle(roi_color, (ex, ey), (ex + ew, ey + eh), (0, 255, 0), 2)
        cv2.putText(frame, 'Eye', (x + ex, y + ey), 1, 1, (0, 255, 0), 1)

    cv2.putText(frame, 'Number of Faces : ' + str(len(faces)), (40, 40), font, 1, (255, 0, 0), 2)
    # Display the resulting frame
    cv2.imshow('Video', frame)

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

# When everything is done, release the capture
video_capture.release()
cv2.destroyAllWindows()
