Created
May 1, 2019 08:45
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mtcnn face detection code
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import cv2 | |
from mtcnn.mtcnn import MTCNN | |
detector = MTCNN() | |
image = cv2.imread("street.jpg") | |
result = detector.detect_faces(image) | |
# Result is an array with all the bounding boxes detected. | |
bounding_box = result[0]['box'] | |
keypoints = result[0]['keypoints'] | |
cv2.rectangle(image, | |
(bounding_box[0], bounding_box[1]), | |
(bounding_box[0]+bounding_box[2], bounding_box[1] + bounding_box[3]), | |
(0,155,255), | |
2) | |
cv2.circle(image,(keypoints['left_eye']), 2, (0,155,255), 2) | |
cv2.circle(image,(keypoints['right_eye']), 2, (0,155,255), 2) | |
cv2.circle(image,(keypoints['nose']), 2, (0,155,255), 2) | |
cv2.circle(image,(keypoints['mouth_left']), 2, (0,155,255), 2) | |
cv2.circle(image,(keypoints['mouth_right']), 2, (0,155,255), 2) | |
cv2.imwrite("detect.jpg", image) |
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