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HandTrackingModule.py
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63 lines (49 loc) · 1.99 KB
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import cv2
import mediapipe as mp
import time
class HandDetector():
def __init__(self, mode=False, maxHands=2, modelComplexity = 1,detectionCon=0.5, trackCon=0.5):
self.mode = mode
self.maxHands = maxHands
self.modelComplexity = modelComplexity
self.detectionCon = detectionCon
self.trackCon = trackCon
self.mpHands = mp.solutions.hands
self.hands = self.mpHands.Hands(self.mode, self.maxHands,self.modelComplexity,
self.detectionCon, self.trackCon)
self.mpDraw = mp.solutions.drawing_utils
self.tipIds = [4,8,12,16,20]
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):
self.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)
self.lmList.append([id,cx,cy])
if draw:
cv2.circle(img,(cx,cy),15,(255,0,255),cv2.FILLED)
return self.lmList
def fingersUp(self):
fingers = []
# Thumb
if self.lmList[self.tipIds[0]][1] < self.lmList[self.tipIds[0] - 1][1]:
fingers.append(1)
else:
fingers.append(0)
# Fingers
for id in range(1, 5):
if self.lmList[self.tipIds[id]][2] < self.lmList[self.tipIds[id] - 2][2]:
fingers.append(1)
else:
fingers.append(0)
# totalFingers = fingers.count(1)
return fingers