VolumeAdjustmentControl/HandTrackingModule.py at main · dkatial142004/VolumeAdjustmentControl · GitHub

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importcv2
importmediapipeasmp
importtime
importmath


classhandDetector():
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
self.tipIds= [4, 8, 12, 16, 20]

deffindHands(self, img, draw=True):
imgRGB=cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
self.results=self.hands.process(imgRGB)

ifself.results.multi_hand_landmarks:
forhandLmsinself.results.multi_hand_landmarks:
ifdraw:
self.mpDraw.draw_landmarks(img, handLms, self.mpHands.HAND_CONNECTIONS)
returnimg

deffindPosition(self, img, handNo=0, draw=True):
xList= []
yList= []
bbox= []
self.lmList= []

ifself.results.multi_hand_landmarks:
myHand=self.results.multi_hand_landmarks[handNo]
forid, lminenumerate(myHand.landmark):
h, w, c=img.shape
cx, cy=int(lm.x*w), int(lm.y*h)
xList.append(cx)
yList.append(cy)
self.lmList.append([id, cx, cy])
ifdraw:
cv2.circle(img, (cx, cy), 5, (255, 0, 255), cv2.FILLED)

xmin, xmax=min(xList), max(xList)
ymin, ymax=min(yList), max(yList)
bbox=xmin, ymin, xmax, ymax

ifdraw:
cv2.rectangle(img, (bbox[0] -20, bbox[1] -20),
 (bbox[2] +20, bbox[3] +20), (0, 255, 0), 2)

returnself.lmList, bbox

deffingersUp(self):
fingers= []
ifnotself.lmList:
returnfingers

# Thumb
ifself.lmList[self.tipIds[0]][1] >self.lmList[self.tipIds[0] -1][1]:
fingers.append(1)
else:
fingers.append(0)

#4 fingers
foridinrange(1, 5):
ifself.lmList[self.tipIds[id]][2] <self.lmList[self.tipIds[id] -2][2]:
fingers.append(1)
else:
fingers.append(0)

returnfingers

deffindDistance(self, p1, p2, img, draw=True):
x1, y1=self.lmList[p1][1], self.lmList[p1][2]
x2, y2=self.lmList[p2][1], self.lmList[p2][2]
cx, cy= (x1+x2) //2, (y1+y2) //2

ifdraw:
cv2.circle(img, (x1, y1), 15, (255, 0, 255), cv2.FILLED)
cv2.circle(img, (x2, y2), 15, (255, 0, 255), cv2.FILLED)
cv2.line(img, (x1, y1), (x2, y2), (255, 0, 255), 3)
cv2.circle(img, (cx, cy), 15, (255, 0, 255), cv2.FILLED)

length=math.hypot(x2-x1, y2-y1)
returnlength, img, [x1, y1, x2, y2, cx, cy]


defmain():
pTime=0
cap=cv2.VideoCapture(0)
detector=handDetector()

whileTrue:
success, img=cap.read()
ifnotsuccess:
break

img=detector.findHands(img)
lmList, _=detector.findPosition(img)

iflen(lmList) !=0:
print(lmList[4])

cTime=time.time()
fps=1/ (cTime-pTime) ifcTime!=pTimeelse0
pTime=cTime

cv2.putText(img, f'FPS: {int(fps)}', (10, 70),
cv2.FONT_HERSHEY_PLAIN, 3, (255, 0, 255), 3)

cv2.imshow("Image", img)
ifcv2.waitKey(1) &0xFF==ord('q'):
break

cap.release()
cv2.destroyAllWindows()


if__name__=="__main__":
main()