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HandTrackingModule.py
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import time
import cv2.cv2 as cv
import mediapipe as mp
class handDetector():
def __init__(self, mode=False, maxHands=2,complexity=1, detectionCon=0.5, trackCon=0.5): # default initializations
self.mode = mode
self.maxHands = maxHands
self.detectionCon = detectionCon
self.tackCon = trackCon
# initializations
self.comlexity = complexity
self.mpHands = mp.solutions.hands
self.hands = self.mpHands.Hands(self.mode, self.maxHands, self.comlexity, self.detectionCon, self.tackCon)
self.mpDraw = mp.solutions.drawing_utils
def findHands(self, image, draw=True):
imgRGB = cv.cvtColor(image, cv.COLOR_BGR2RGB)
self.results = self.hands.process(imgRGB)
if self.results.multi_hand_landmarks:
for handLandmarks in self.results.multi_hand_landmarks:
if draw:
self.mpDraw.draw_landmarks(image, handLandmarks, self.mpHands.HAND_CONNECTIONS)
return image
def findPosition(self,image, handNo=0, draw=True):
lmList=[]
if self.results.multi_hand_landmarks:
myHand= self.results.multi_hand_landmarks[handNo]
for idNumber, landmarkInformation in enumerate(myHand.landmark):
h, w, c = image.shape
cx, cy = int(landmarkInformation.x * w), int(landmarkInformation.y * h)
# print(idNumber, cx, cy)
lmList.append([idNumber,cx,cy])
# if idNumber == 4:
if draw:
if idNumber == 0:
cv.circle(image, (cx, cy), 25, (5, 5, 5), cv.FILLED)
else:
cv.circle(image, (cx, cy), 15, (255, 0, 255), cv.FILLED)
return lmList
def main():
previousTime = 0
currentTime = 0
cap = cv.VideoCapture(0)
detector = handDetector()
while True:
success, image = cap.read()
image = detector.findHands(image)
lmList = detector.findPosition(image)
if len(lmList)!=0:
print(lmList[4])
currentTime = time.time()
fps = 1 / (currentTime - previousTime)
previousTime = currentTime
cv.putText(image, str(int(fps)), (10, 70), cv.FONT_HERSHEY_COMPLEX, 2, (255, 0, 255), 3)
cv.imshow("Image", image)
cv.waitKey(1)
if __name__ == '__main__':
main()