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handTrackingModule.py
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import cv2
import mediapipe as mp
import time
class handDetector():
def __init__(self, mode=False, maxHands=2, detection_con=0.5, tracking_con=0.5):
self.mode = mode
self.maxHands = maxHands
self.detection_con = detection_con
self.tracking_con = tracking_con
self.mpHands = mp.solutions.hands
self.hands = self.mpHands.Hands(self.mode, self.maxHands, self.detection_con, self.tracking_con)
self.mpDraw = mp.solutions.drawing_utils
def findHands(self, img, draw=True):
imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
self.results = self.hands.process(imgRGB)
if self.results.multi_hand_landmarks:
for handlms in self.results.multi_hand_landmarks:
if draw:
self.mpDraw.draw_landmarks(img, handlms, self.mpHands.HAND_CONNECTIONS)
return img
def findPosition(self, img, handNO=0, draw=True):
lmlist = []
if self.results.multi_hand_landmarks:
# if len(self.results.multi_hand_landmarks) <= handNO+1:
myhand = self.results.multi_hand_landmarks[handNO]
for id, lm in enumerate(myhand.landmark):
h, w, c = img.shape
cx, cy = int(lm.x * w), int(lm.y * h)
lmlist.append([id, cx, cy])
if draw:
cv2.putText(img, str(id), (cx, cy), cv2.FONT_HERSHEY_PLAIN, 1, (0, 0, 0), 2)
return lmlist
def main():
pTime = 0
cTime = 0
cap = cv2.VideoCapture(0)
detector = handDetector()
while True:
success, img = cap.read()
img = detector.findHands(img)
lmlist = detector.findPosition(img)
cTime = time.time()
fps = 1 / (cTime - pTime)
pTime = cTime
cv2.putText(img, str(int(fps)), (10, 70), cv2.FONT_HERSHEY_COMPLEX, 2, (255, 0, 255), 2)
cv2.imshow("image", img)
k = cv2.waitKey(1) & 0xFF == ord('q')
if k:
break
if __name__ == '__main__':
main()