main.py

import os
import cv2
from cvzone.HandTrackingModule import HandDetector
import numpy as np


# Variables
width, height = 1280, 720
folderPath = "Presentation"
imgNumber = 0
hs, ws = int(120*1), int(213*1)
gestureThreshold = 300
buttonPressed = False
buttonCounter = 0
buttonDelay = 20
annotations = [[]]
annotationNumber = -1
annotationStart = False

# Camera Setup
cap = cv2.VideoCapture(0)
cap.set(3, width)
cap.set(4, height)

# Get The List Of Presentation Images
pathImages = sorted(os.listdir(folderPath), key=len)
# print(pathImages)

# Hand Detector
detector = HandDetector(detectionCon= 0.8, maxHands=1)

while True:
    # Import Images
    success, img = cap.read()
    img = cv2.flip(img,1)
    pathFullImage = os.path.join(folderPath,pathImages[imgNumber])
    imgCurrent = cv2.imread(pathFullImage)

    hands, img = detector.findHands(img)
    cv2.line(img, (0, gestureThreshold), (width, gestureThreshold), (0,255,0), 10)
    if hands and buttonPressed is False:
        hand = hands[0]
        fingers = detector.fingersUp(hand)
        cx, cy = hand['center']
        lmList = hand['lmList']

        # Constraint values for easier drawing
        xVal = int(np.interp(lmList[8][0],[width//2,w], [0,width]))
        yVal = int(np.interp(lmList[8][1], [150, height-150], [0, height]))
        indexFinger = xVal, yVal
        # print(fingers)
        if cy <= gestureThreshold:
            # Gesture - 1: left
            if fingers == [0, 0, 0, 0, 0]:

                if imgNumber > 0:
                    buttonPressed = True
                    annotations = [[]]
                    annotationNumber = -1
                    annotationStart = False
                    imgNumber -= 1

            # Gesture - 2: right
            if fingers == [1, 1, 1, 1, 1]:

                if imgNumber < len(pathImages)-1:
                    buttonPressed = True
                    annotations = [[]]
                    annotationNumber = -1
                    annotationStart = False
                    imgNumber += 1

        # Gesture - 3: show pointer
        if fingers == [0, 1, 1, 0, 0]:
            cv2.circle(imgCurrent, indexFinger, 12, (0,0,255), cv2.FILLED)

        # Gesture - 4: draw
        if fingers == [0, 1, 0, 0, 0]:
            if annotationStart is False:
                annotationStart = True
                annotationNumber += 1
                annotations.append([])
            cv2.circle(imgCurrent, indexFinger, 12, (0, 0, 255), cv2.FILLED)
            annotations[annotationNumber].append(indexFinger)
        else:
            annotationStart = False

        # Gesture - 5: erase
        if fingers == [0, 1, 1, 1, 0]:
            if annotations:
                annotations.pop(-1)
                annotationNumber -= 1
                buttonPressed = False
    # buttonPressed iterations
    if buttonPressed:
        buttonCounter += 1
        if buttonCounter > buttonDelay:
            buttonCounter = 0
            buttonPressed = False

    for i in range (len(annotations)):
        for j in range (len(annotations[i])):
            if j != 0:
                cv2.line(imgCurrent, annotations[i][j - 1], annotations[i][j], (0, 0, 200), 12)

    # Adding webcam image on slide
    imgSmall = cv2.resize(img, (ws, hs))
    h, w, _ = imgCurrent.shape
    imgCurrent[0:hs,w-ws:w] = imgSmall

    # cv2.imshow("Image", img)
    cv2.imshow("Slides", imgCurrent)

    key = cv2.waitKey(1)
    if key == ord('q'):
        break