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main2.py
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import cv2 as cv
import mediapipe as mp
import time
class HandArmDetector():
def __init__(self, mode=False, maxHands=2, detectionCon=0.5, trackCon=0.5):
self.mode = mode
self.maxHands = maxHands
self.detectionCon = detectionCon
self.trackCon = trackCon
self.mpHands = mp.solutions.hands
self.hands = self.mpHands.Hands(static_image_mode=self.mode,
max_num_hands=self.maxHands,
min_detection_confidence=self.detectionCon,
min_tracking_confidence=self.trackCon)
self.mpDraw = mp.solutions.drawing_utils
def findHands(self, img, draw=True):
imgRGB = cv.cvtColor(img, cv.COLOR_BGR2RGB)
self.results = self.hands.process(imgRGB)
if self.results.multi_hand_landmarks:
for handLM in self.results.multi_hand_landmarks:
if draw:
self.mpDraw.draw_landmarks(img, handLM, self.mpHands.HAND_CONNECTIONS)
return img
def findHandArmPosition(self, img, handNo=0):
lmList = []
if self.results.multi_hand_landmarks:
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])
return lmList
def main():
pTime = 0
cap = cv.VideoCapture(0)
detector = HandArmDetector()
while True:
success, img = cap.read()
img = detector.findHands(img)
try:
hand_arm_landmarks = detector.findHandArmPosition(img)
if hand_arm_landmarks:
print("Hand and Arm Landmarks:")
for lm in hand_arm_landmarks:
print(f"Landmark {lm[0]}: ({lm[1]}, {lm[2]})")
except Exception as ex:
print(f'An Exception Occurred: {ex}')
cTime = time.time()
fps = 1 / (cTime - pTime)
pTime = cTime
cv.putText(img, str(int(fps)), (10, 70), cv.FONT_HERSHEY_PLAIN, 3, (255, 0, 255), 3)
cv.imshow('image', img)
k = cv.waitKey(1)
if k == 27:
cv.destroyAllWindows()
break
if __name__ == "__main__":
main()