### init face detector
distance_threshold = 1.0
recognizer = FaceRecognizer(device=device,
distance_threshold=distance_threshold)
### init video capture
cap = cv2.VideoCapture(VIDEO_PATH)
while (1):
### read and resize frame
ret, im = cap.read()
im = imutils.resize(im, height=800)
### detect faces
embeddings, boxes = recognizer.get_faces_from_frame(image_to_tensor(im))
for box in boxes:
### draw box around face
min_x, min_y, max_x, max_y = get_int_rect(box)
cv2.rectangle(im, (min_x, min_y), (max_x, max_y), (0, 255, 0), 1)
### crop face
cropped_face = im[min_y:max_y, min_x:max_x]
cv2.imshow("cropped_face", cropped_face)
k = cv2.waitKey(1)
### calc some info about out face
histr = cv2.calcHist([cropped_face], [0], None, [256], [0, 256])
# show the plotting graph of an image
