AIVirtualMouseProject.py

import cv2
smoothening = 5
##################################
import numpy as np
import HandTrackingModule as htm
import time
import autopy
##################################
wCam, hCam = 640, 480
frameR = 100 # Frame Reduction

pTime = 0
plocX, plocY = 0, 0
clocX, clocY = 0, 0

cap = cv2.VideoCapture(0)
cap.set(3, 640)
cap.set(4, 480)

detector = htm.handDetector(maxHands= 1)
wSrc, hSrc = autopy.screen.size()
#print(wSrc, hSrc)

while True:
    # 1. Find hand landmarks
    success, img = cap.read()
    img = detector.findHands(img)
    lmList , bbox = detector.findPosition(img)

    if len(lmList) != 0:
        x1, y1 = lmList[8][1:]
        x2, y2 = lmList[12][1:]

        #print(x1, y1, x2, y2)

        # 2. Get tip of the index and middle finger
        # 3. Chaeck which fingers are up
        fingers = detector.fingersUp()
        #print(fingers)
        cv2.rectangle(img, (frameR, frameR), (wCam - frameR, hCam - frameR), (255, 0, 255), 2)
        # 4. Only Inder fingers : Moving mode
        if fingers[1] == 1 and fingers[2] == 0:
            # 5. convert coordinates
            x3 = np.interp(x1, (frameR, wCam - frameR), (0, wSrc))
            y3 = np.interp(y1, (frameR, hCam - frameR), (0, hSrc))
            # 6. Smoothen Values
            clocX = plocX + (x3 - plocX) / smoothening
            clocY = plocY + (y3 - plocY) / smoothening

            # 7. Move Mouse
            autopy.mouse.move(wSrc - clocX, clocY)
            cv2.circle(img, (x1, y1), 15, (255, 0, 0), cv2.FILLED)
            plocX, plocY = clocX, clocY

        # 8. Both index and middle fingers are up : clicking mode
        if fingers[1] == 1 and fingers[2] == 1:
            # 9. find distance between fingers
            length, img, lineInfo = detector.findDistance(8, 12, img)
            print(length)
            # 10. Click mouse if distance are short
            if length < 40:
                cv2.circle(img, (lineInfo[4], lineInfo[5]), 15, (0, 255, 0), cv2.FILLED)
                autopy.mouse.click()

    # 11. Frame rate
    cTime = time.time()
    fps = 1/(cTime-pTime)
    pTime = cTime
    cv2.putText(img, str(int(fps)), (20, 50), cv2.FONT_HERSHEY_PLAIN, 3, (255, 0, 0), 3)
    # 12. Display
    cv2.imshow("Image", img)
    cv2.waitKey(1)