cap = cv2.VideoCapture(0)
cap.set(3, 1280)
cap.set(4, 720)
detector = HandDetector(detectionCon=0.5, maxHands=1)
while True:
# Get image frame
success, img = cap.read()
# Find the hand and its landmarks
img = detector.findHands(img)
lmList, bboxInfo = detector.findPosition(img)
if lmList:
bbox = bboxInfo['bbox']
# Find how many fingers are up
fingers = detector.fingersUp()
totalFingers = fingers.count(1)
cv2.putText(img, f'Fingers:{totalFingers}', (bbox[0] + 200, bbox[1] - 30),
cv2.FONT_HERSHEY_PLAIN, 2, (0, 255, 0), 2)
# Find Distance Between Two Fingers
distance, img, info = detector.findDistance(8, 12, img)
cv2.putText(img, f'Dist:{int(distance)}', (bbox[0] + 400, bbox[1] - 30),
cv2.FONT_HERSHEY_PLAIN, 2, (0, 255, 0), 2)
# Find Hand Type
myHandType = detector.handType()
cv2.putText(img, f'Hand:{myHandType}', (bbox[0], bbox[1] - 30),
cv2.FONT_HERSHEY_PLAIN, 2, (0, 255, 0), 2)
# Display
img = cv2.flip(img, 1)
pathFullImage = os.path.join(folderPath, pathImages[imgNumber])
imgCurrent = cv2.imread(pathFullImage)
# Find the hand and its landmarks
hands, img = detectorHand.findHands(img) # with draw
# Draw Gesture Threshold line
cv2.line(img, (0, gestureThreshold), (width, gestureThreshold),
(0, 255, 0), 10)
if hands and buttonPressed is False: # If hand is detected
hand = hands[0]
cx, cy = hand["center"]
lmList = hand["lmList"] # List of 21 Landmark points
fingers = detectorHand.fingersUp(hand) # List of which fingers are up
# Constrain values for easier drawing
xVal = int(np.interp(lmList[8][0], [width // 2, width], [0, width]))
yVal = int(np.interp(lmList[8][1], [150, height - 150], [0, height]))
indexFinger = xVal, yVal
if cy <= gestureThreshold: # If hand is at the height of the face
if fingers == [1, 0, 0, 0, 0]:
print("Left")
buttonPressed = True
if imgNumber > 0:
imgNumber -= 1
annotations = [[]]
annotationNumber = -1
annotationStart = False
cap.set(4, 720)
detector = HandDetector(detectionCon=0.7)
startDist = None
scale = 0
cx, cy = 500,500
while True:
success, img = cap.read()
hands, img = detector.findHands(img)
img1 = cv2.imread("cvarduino.jpg")
if len(hands) == 2:
# print(detector.fingersUp(hands[0]), detector.fingersUp(hands[1]))
if detector.fingersUp(hands[0]) == [1, 1, 0, 0, 0] and \
detector.fingersUp(hands[1]) == [1, 1, 0, 0, 0]:
# print("Zoom Gesture")
lmList1 = hands[0]["lmList"]
lmList2 = hands[1]["lmList"]
# point 8 is the tip of the index finger
if startDist is None:
#length, info, img = detector.findDistance(lmList1[8], lmList2[8], img)
length, info, img = detector.findDistance(hands[0]["center"], hands[1]["center"], img)
startDist = length
#length, info, img = detector.findDistance(lmList1[8], lmList2[8], img)
length, info, img = detector.findDistance(hands[0]["center"], hands[1]["center"], img)
scale = int((length - startDist) // 2)
cx, cy = info[4:]
print(scale)
else: