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handTrackingModule.py
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83 lines (70 loc) · 2.85 KB
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import cv2
import mediapipe as mp
import time
import math
import numpy as np
class handdetection():
def __init__(self,mode=False,maxhands=2,detectionConf=0.5,trackConf=0.5):
self.mode=mode
self.maxhands=maxhands
self.detectionConf=detectionConf
self.trackConf=trackConf
self.mphand=mp.solutions.hands
self.hands=self.mphand.Hands(self.mode,self.maxhands,self.detectionConf,self.trackConf)
self.draw=mp.solutions.drawing_utils
self.tipIds = [4, 8, 12, 16, 20]
def findingHands(self,img,draw=True):
rgbimg=cv2.cvtColor(img,cv2.COLOR_BGR2RGB)
self.res=self.hands.process(rgbimg)
if self.res.multi_hand_landmarks:
for handlmks in self.res.multi_hand_landmarks:
if draw:
self.draw.draw_landmarks(img,handlmks,self.mphand.HAND_CONNECTIONS)
return img
def findPosition(self,img,handNum=0,draw=True):
xList = []
yList = []
bbox = []
self.lmkList=[]
if self.res.multi_hand_landmarks:
myHands = self.res.multi_hand_landmarks[handNum]
for id,lmk in enumerate(myHands.landmark):
h,w,ch = img.shape
cx,cy = int(lmk.x*w),int(lmk.y*h)
xList.append(cx)
yList.append(cy)
self.lmkList.append([id,cx,cy])
'''
if draw:
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
if draw:
cv2.rectangle(img, (xmin - 20, ymin - 20), (xmax + 20, ymax + 20),
(0, 255, 0), 2)
return self.lmkList, bbox
def fingersUp(self):
fingers = []
if self.lmkList[self.tipIds[0]][1] > self.lmkList[self.tipIds[0] - 1][1]:
fingers.append(1)
else:
fingers.append(0)
for id in range(1, 5):
if self.lmkList[self.tipIds[id]][2] < self.lmkList[self.tipIds[id] - 2][2]:
fingers.append(1)
else:
fingers.append(0)
return fingers
def findDistance(self, p1, p2, img, draw=True,r=10, t=3):
x1, y1 = self.lmkList[p1][1:]
x2, y2 = self.lmkList[p2][1:]
cx, cy = (x1 + x2) // 2, (y1 + y2) // 2
if draw:
cv2.line(img, (x1, y1), (x2, y2), (255, 0, 255), t)
cv2.circle(img, (x1, y1), r, (255, 0, 255), thickness=3, lineType=8)
cv2.circle(img, (x2, y2), r, (255, 0, 255), thickness=3, lineType=8)
cv2.circle(img, (cx, cy), r-2, (0, 0, 255), thickness=2, lineType=8)
length = math.hypot(x2 - x1, y2 - y1)
return length, img, [x1, y1, x2, y2, cx, cy]