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fingersCounter.py
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import cv2
import time
import os
import HandTrackingModule as htm
import pyautogui as p
p.FAILSAFE=False
wCam, hCam = 1080, 720
#cap = cv2.VideoCapture("http://192.168.43.220:9000/stream.mjpg")
#cap = cv2.VideoCapture("http://192.168.43.1:6677/videofeed?username=CCJDMAFKB&password=")
#cap=cv2.VideoCapture(0)
#l="http://192.168.43.1:6677/videofeed?username=CCJDMAFKB&password="
cap = cv2.VideoCapture(0)
cap.set(3, wCam)
cap.set(4, hCam)
folderPath = "FigerImages"
myList = os.listdir(folderPath)
print(myList)
overlayList = []
for imPath in myList:
image = cv2.imread(f'{folderPath}/{imPath}')
# print(f'{folderPath}/{imPath}')
overlayList.append(image)
print(len(overlayList))
pTime = 0
detector = htm.handDetector(detectionCon=0.75)
tipIds = [4, 8, 12, 16, 20]
count=0
l=[]
while True:
success, img = cap.read()
img = detector.findHands(img)
lmList = detector.findPosition(img, draw=False)
# print(lmList)
if len(lmList) != 0:
fingers = []
# Thumb
if lmList[tipIds[0]][1] > lmList[tipIds[0] - 1][1]:
fingers.append(1)
else:
fingers.append(0)
# 4 Fingers
for id in range(1, 5):
if lmList[tipIds[id]][2] < lmList[tipIds[id] - 2][2]:
fingers.append(1)
else:
fingers.append(0)
# print(fingers)
totalFingers = fingers.count(1)
print(totalFingers)
if(totalFingers==0):
time.sleep(1)
p.hotkey('f5')
if(totalFingers==1):
#p.hotkey('ctrl', 't')
time.sleep(1)
p.press('left')
if(totalFingers==2):
#p.hotkey('ctrl', 'n')
time.sleep(1)
p.press('right')
if(totalFingers==3):
#p.hotkey('ctrl', 'w')
time.sleep(1)
p.press('esc')
if(totalFingers==4):
time.sleep(1)
p.hotkey('fn','alt','f4')
h, w, c = overlayList[totalFingers - 1].shape
img[0:h, 0:w] = overlayList[totalFingers - 1]
cv2.rectangle(img, (20, 225), (170, 425), (0, 255, 0), cv2.FILLED)
cv2.putText(img, str(totalFingers), (45, 375), cv2.FONT_HERSHEY_PLAIN,
10, (255, 0, 0), 25)
cTime = time.time()
fps = 1 / (cTime - pTime)
pTime = cTime
cv2.putText(img, f'FPS: {int(fps)}', (400, 70), cv2.FONT_HERSHEY_PLAIN,
3, (255, 0, 0), 3)
cv2.imshow("Image", img)
cv2.waitKey(1)
count+=1