import cv2
from cvzone.HandTrackingModule import HandDetector
import cvzone
import numpy as np
cap = cv2.VideoCapture(0)
cap.set(3, 1280)
cap.set(4, 720)
detector = HandDetector(detectionCon=0.8)
colorR = (0, 0, 255)
cx, cy, w, h = 100, 100, 200, 200
class Moveblock():
def __init__(self,posCenter,size=(200,200)):
self.posCenter=posCenter
self.size=size
def update(self,cursor):
cx,cy=self.posCenter
w,h=self.size
if cx - w // 2 < cursor[0] < cx + w // 2 and \
cy - h // 2 < cursor[1] < cy + h // 2:
self.posCenter = cursor[:2]
rectList=[]
for i in range(5):
rectList.append(Moveblock((i*250+150,150)))
while True:
succes,img=cap.read()
img = cv2.flip(img,1)
lmList ,img = detector.findHands(img)
# print(lmList)
if lmList:
lmList1 = lmList[0]["lmList"]
length, info, img = detector.findDistance(lmList1[8][:2],lmList1[12][:2],img,draw=False)
print(length)
if length<60:
# lmList1 = lmList[0]["lmList"]
cursor = lmList1[8]
# print(cursor)
for rect in rectList:
rect.update(cursor)
#实体框
# for rect in rectList:
# cx, cy = rect.posCenter
# w, h = rect.size
# cv2.rectangle(img,(cx-w//2,cy-h//2),(cx+w//2,cy+h//2),colorR,cv2.FILLED)
#
# cvzone.cornerRect(img,(cx-w//2,cy-h//2, w, h),20,rt=0)
#半透明
imgNew=np.zeros_like(img,np.uint8)
for rect in rectList:
cx, cy = rect.posCenter
w, h = rect.size
cv2.rectangle(imgNew,(cx-w//2,cy-h//2),(cx+w//2,cy+h//2),colorR,cv2.FILLED)
cvzone.cornerRect(imgNew,(cx-w//2,cy-h//2, w, h),20,rt=0)
out = img.copy()
alpha=0.6
mask=imgNew.astype(bool)
out[mask]=cv2.addWeighted(img,alpha,imgNew,1-alpha,0)[mask]
cv2.imshow("Image", out)
k=cv2.waitKey(1)
if k==27:break
