Repository: italojs/facial-landmarks-recognition
Branch: master
Commit: 66c562fc6c51
Files: 3
Total size: 1.5 KB

Directory structure:
gitextract_d540hd6z/

├── README.md
├── main.py
└── requirements.txt

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FILE CONTENTS
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FILE: README.md
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## facial landmarks recognition 

![My Face](https://i.imgur.com/7IIOka9.png)

### Dependencies 
`pip install -r .\requirements.txt`

### Run
`python main.py`

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FILE: main.py
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# import the necessary packages
from imutils import face_utils
import dlib
import cv2
 
# initialize dlib's face detector (HOG-based) and then create
# the facial landmark predictor
p = "shape_predictor_68_face_landmarks.dat"
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor(p)

cap = cv2.VideoCapture(0)
 
while True:
    # load the input image and convert it to grayscale
    _, image = cap.read()
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
        
    # detect faces in the grayscale image
    rects = detector(gray, 0)
    
    # loop over the face detections
    for (i, rect) in enumerate(rects):
        # determine the facial landmarks for the face region, then
        # convert the facial landmark (x, y)-coordinates to a NumPy
        # array
        shape = predictor(gray, rect)
        shape = face_utils.shape_to_np(shape)
    
        # loop over the (x, y)-coordinates for the facial landmarks
        # and draw them on the image
        for (x, y) in shape:
            cv2.circle(image, (x, y), 2, (0, 255, 0), -1)
    
    # show the output image with the face detections + facial landmarks
    cv2.imshow("Output", image)
    k = cv2.waitKey(5) & 0xFF
    if k == 27:
        break

cv2.destroyAllWindows()
cap.release()


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FILE: requirements.txt
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opencv-python==4.7.0.72
imutils==0.5.4
dlib==19.24.0