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Copy pathHandTrackingModule.py
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80 lines (66 loc) · 2.43 KB
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import cv2
import mediapipe as mp
import time
class HandDetector:
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 = 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:
myhand=self.results.multi_hand_landmarks[handNo]
for id, lm in enumerate(myhand.landmark):
# print(id, lm)
h, w, c = img.shape
cx, cy = int(lm.x * w), int(lm.y * h)
#print(id, cx, cy)
lmlist.append([id,cx,cy])
if draw:
cv2.circle(img, (cx, cy), 15, (255, 0, 255), cv2.FILLED)
return lmlist
def main():
pTime = 0
cTime = 0
cap = cv2.VideoCapture(0)
if not cap.isOpened():
print("Error: Could not open video stream.")
return
detector = HandDetector()
while True:
success, img = cap.read()
if not success:
print("Error: Failed to capture image.")
break
img = detector.findHands(img)
lmlist = detector.findPosition(img)
if len(lmlist) !=0:
print(lmlist[4])
cTime = time.time()
fps = 1 / (cTime - pTime)
pTime = cTime
cv2.putText(img, f'FPS: {int(fps)}', (10, 70), cv2.FONT_HERSHEY_PLAIN, 3, (255, 0, 255), 3)
cv2.imshow("Image", img)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
if __name__ == "__main__":
main()