can we use cvzone to detect hand and face in same time #76
Description
dear all,
I have an issue when I use cvzone library to detect face and hand together. same time, and make a condition that if i found two hands
screen must be white but actually when i raise only one hand and try to print i found that it is some times to be two hand and screen go to be white then normal , any advice heare
below is my code
import cvzone
from cvzone.HandTrackingModule import HandDetector
from cvzone.FaceDetectionModule import FaceDetector
from cvzone.ClassificationModule import Classifier
from cvzone.PoseModule import PoseDetector
import pyautogui
import cv2
import numpy as np
import time
import mediapipe
from cvzone.FPS import FPS
import os
import math
import csv
import time
############# our Variables ################################################################################################
#wCam, hCam = 640, 480
wCam, hCam = 1280, 720
cap = cv2.VideoCapture(0)
cap.set(3,wCam)
cap.set(4,hCam)
imageNumber=0
#define the size of of camerimage that will be over layed on main screen
hs, ws = int(120 * 1), int(150 * 1)
#show presnter image Mode
presnterImageMode = True
#variable to show white screen in applicatio in case morethan 2 faces detected
faceWhiteImageMode=False
#variable to show white screen in applicatio in case morethan 2 hands detected
handWiteImageMode =False
# handtype used from request to devine which hand will ussed in presntion
handType='Left'
#######################################detectors#############################################################################
detector = HandDetector(staticMode=False,maxHands=2,modelComplexity=1,detectionCon=0.5, minTrackCon=0.5)
face_detector = FaceDetector(minDetectionCon=0.5, modelSelection=0)
############################################################################################################################
#import presentaion images
folderPath = 'presentaion/'
presnetaionPath = sorted(os.listdir(folderPath),key=len)
while True :
_,frame = cap.read()
frame = cv2.flip(frame,1)
frame = cv2.resize(frame,(wCam,hCam))
currentImagePath = os.path.join(folderPath,presnetaionPath[imageNumber])
currentImage = cv2.imread(currentImagePath)
#start detect face
frame , bboxs = face_detector.findFaces(frame,draw=False)
if bboxs :
if len(bboxs)>1:
if faceWhiteImageMode is True:
frame = np.ones_like(frame)*255
currentImage = np.ones_like(currentImage)*255
cvzone.putTextRect(currentImage, f' More Than One Face Detected , Application Paused ',\
(0, 100),border=5,scale=2,thickness=2)
else:
faceWhiteImageMode =False
for bbox in bboxs :
facecenter = bbox["center"]
x, y, w, h = bbox['bbox']
#draw ine in center of center of face for good presention control
cv2.line(frame,(0,facecenter[1]),(wCam,facecenter[1]),(0,255,0),10)
#start detection hand
hands , _ = detector.findHands(frame,draw=False,flipType=True)
if hands :
#cas we have two hands
if len(hands)>1 :
handWiteImageMode=True
if handWiteImageMode is True :
frame = np.ones_like(frame)*255
currentImage = np.ones_like(currentImage)*255
cvzone.putTextRect(currentImage, f' More Than One Hands Detected , Application Paused ', \
(0, 100),border=5,scale=2,thickness=2)
else:
handWiteImageMode=False
#cas we have one hands
elif len(hands)==1:
print('ok')
#cas we have one hands
else:
pass
print(handWiteImageMode,len(hands))
imgPNG = cv2.imread("C:/Users/Geka/Desktop/update.png",cv2.IMREAD_UNCHANGED)
imgOverlay = cvzone.overlayPNG(currentImage, imgPNG, pos=[0, 650])
cv2.imshow('imagePresntaion ',frame)
#cv2.imshow('Presntaion X',currentImage)
# Display the camera feed
key = cv2.waitKey(10)
if key == ord('q'):
break
cap.release()
cv2.destroyAllWindows()