# 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
quick_outline = hand.outline
# draw fingertips on the outline of the hand, with radius 5 and color red,
# filled in.
for fingertip in hand.fingertips:
import handy
import cv2
cap = cv2.VideoCapture(0)
# capture the hand histogram by placing your hand in the box shown and
# press 'A' to confirm
hist = handy.capture_histogram(source=0)
while True:
ret, frame = cap.read()
if not ret:
break
handy.detect_face(frame, block=False)
# detect the hand
hand = handy.detect_hand(frame, hist)
# to get the outline of the hand
custom_outline = hand.draw_outline(min_area=10000,
color=(0, 255, 255),
thickness=2)
# to get a quick outline of the hand
quick_outline = hand.outline
# draw fingertips on the outline of the hand, with radius 5 and color red,
# filled in.
for fingertip in hand.fingertips:
# 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
# draw fingertips on the outline of the hand, with radius 5 and color red,
# filled in.
for fingertip in hand.fingertips:
cv2.circle(quick_outline, fingertip, 5, (0, 0, 255), -1)
fire, screen = cap.read()
hand = handy.detect_hand(screen, hist)
com = hand.get_center_of_mass()
resetTime = 0
prevStatey = com[0]
prevStatex = com[1]
while True:
fire, screen = cap.read()
if not fire:
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(screen, block=True)
# detect the hand
hand = handy.detect_hand(screen, 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=10000,
color=(0, 255, 255),
thickness=2)
# to get a quick outline of the hand
quick_outline = hand.outline
# draw fingertips on the outline of the hand, with radius 5 and color red,
# filled in.
for fingertip in hand.fingertips:
cv2.circle(quick_outline, fingertip, 5, (0, 0, 255), -1)
cv2.circle(quick_outline, (300, 250), 50, (255, 0, 0), 2)