【Mind+Python】人脸检测
本帖最后由 云天 于 2021-8-7 22:57 编辑python的“face_recognition”包进行人脸检测、用OpenCV在原图像中绘制人脸box框和landmark关键点。
【安装】
【人脸检测】face_recognition可以输出一幅图像中人脸框的左上和右下点的坐标
import cv2
import face_recognition
cap = cv2.VideoCapture(0)
while True:
ret, frame = cap.read()
frame = cv2.resize(frame, (0,0), fx=0.5, fy=0.5)
# Find all the faces in the video
face_locations = face_recognition.face_locations(frame)
number_of_faces = len(face_locations)
print("I found {} face(s) in this video.".format(number_of_faces))
for face_location in face_locations:
# Print the location of each face in this image. Each face is a list of co-ordinates in (top, right, bottom, left) order.
top, right, bottom, left = face_location
print("A face is located at pixel location Top: {}, Left: {}, Bottom: {}, Right: {}".format(top, left, bottom,
right))
cv2.rectangle(frame, (left, top), (right, bottom), (0, 255, 0), 3)
cv2.imshow("Frame", frame)
ch = cv2.waitKey(1)
if ch & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
【landmark关键点】face_recognition可输出如下图所示人脸五官的landmark坐标（共68个坐标点）。
import numpy as np
import cv2
import face_recognition
cap = cv2.VideoCapture(0)
while True:
ret, frame = cap.read()
frame = cv2.resize(frame, (0,0), fx=0.5, fy=0.5)
# Find all facial features in all the faces in the video
face_landmarks_list = face_recognition.face_landmarks(frame)
for face_landmarks in face_landmarks_list:
# Loop over each facial feature (eye, nose, mouth, lips, etc)
for name, list_of_points in face_landmarks.items():
hull = np.array(face_landmarks)
hull_landmark = cv2.convexHull(hull)
cv2.drawContours(frame, hull_landmark, -1, (0, 255, 0), 3)
cv2.imshow("Frame", frame)
ch = cv2.waitKey(1)
if ch & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
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