import handy
import cv2
# getting video feed from webcam
cap = cv2.VideoCapture(0)
# capture the hand histogram by placing your hand in the box shown and
# press 'A' to confirm
# source is set to inbuilt webcam by default. Pass source=1 to use an
# external camera.
hist = handy.capture_histogram(source=0)
while True:
ret, frame = cap.read()
if not ret:
break
# to block a faces in the video stream, set block=True.
# if you just want to detect the faces, set block=False
# if you do not want to do anything with faces, remove this line
handy.detect_face(frame, block=True)
# detect the hand
hand = handy.detect_hand(frame, hist)
# to get the outline of the hand
# min area of the hand to be detected = 10000 by default
custom_outline = hand.draw_outline(
min_area=10000000, color=(0, 255, 255), thickness=2)
# to get a quick outline of the hand
import handy
import cv2
# getting video feed from webcam
cap = cv2.VideoCapture(0)
# capture the hand histogram by placing your hand in the box shown and
# press 'A' to confirm
# source is set to inbuilt webcam by default. Pass source=1 to use an
# external camera.
hist = handy.capture_histogram(0)
while True:
ret, frame = cap.read()
if not ret:
break
# to block a faces in the video stream, set block=True.
# if you just want to detect the faces, set block=False
# if you do not want to do anything with faces, remove this line
handy.detect_face(frame, True)
# detect the hand
hand = handy.detect_hand(frame, hist)
# to get the outline of the hand
# min area of the hand to be detected = 10000 by default
custom_outline = hand.draw_outline(10000,(0, 255, 255), 2)
# to get a quick outline of the hand
quick_outline = hand.outline
