main.py

from time import sleep
import numpy as np
from cvzone.HandTrackingModule import HandDetector
import cv2
import cvzone
from pynput.keyboard import Controller

keys = [["Q", "W", "E", "R", "T", "Y", "U", "I", "O", "P"],
        ["A", "S", "D", "F", "G", "H", "J", "K", "L", ";"],
        ["Z", "X", "C", "V", "B", "N", "M", ",", ".", "/"]]
finalText = ""

keyboard = Controller()


# def drawAll(img, buttonList):
#     for button in buttonList:
#         x, y = button.pos
#         w, h = button.size
#         cvzone.cornerRect(img, (button.pos[0], button.pos[1], button.size[0], button.size[1]),
#                           20, rt=0)
#         cv2.rectangle(img, button.pos, (x + w, y + h), (255, 0, 255), cv2.FILLED)
#         cv2.putText(img, button.text, (x + 20, y + 65),
#                     cv2.FONT_HERSHEY_PLAIN, 4, (255, 255, 255), 4)
#     return img
def drawAll(img, buttonList):
    imgNew = np.zeros_like(img, np.uint8)
    for button in buttonList:
        x, y = button.pos
        cvzone.cornerRect(imgNew, (button.pos[0], button.pos[1], button.size[0], button.size[1]),
                          20, rt=0)
        cv2.rectangle(imgNew, button.pos, (x + button.size[0], y + button.size[1]),
                      (255, 0, 255), cv2.FILLED)
        cv2.putText(imgNew, button.text, (x + 40, y + 60),
                    cv2.FONT_HERSHEY_PLAIN, 2, (255, 255, 255), 3)

    out = img.copy()
    alpha = 0.5
    mask = imgNew.astype(bool)
    print(mask.shape)
    out[mask] = cv2.addWeighted(img, alpha, imgNew, 1 - alpha, 0)[mask]
    return out


class Button:
    def __init__(self, pos, text, size=[85, 85]):
        self.pos = pos
        self.size = size
        self.text = text


buttonList = []
for i in range(len(keys)):
    for j, key in enumerate(keys[i]):
        buttonList.append(Button([100 * j + 50, 100 * i + 50], key))

cap = cv2.VideoCapture(0)
cap.set(3, 1280)
cap.set(4, 720)
detector = HandDetector(detectionCon=0.8, maxHands=1)
while True:
    # Get image frame
    success, img = cap.read()
    # Find the hand and its landmarks
    hands, img = detector.findHands(img)  # with draw
    # hands = detector.findHands(img, draw=False)  # without draw

    if hands:
        # Hand 1
        hand1 = hands[0]
        lmList1 = hand1["lmList"]  # List of 21 Landmark points
        bbox1 = hand1["bbox"]  # Bounding box info x,y,w,h
        centerPoint1 = hand1['center']  # center of the hand cx,cy
        handType1 = hand1["type"]  # Handtype Left  or Right

        fingers1 = detector.fingersUp(hand1)
        if lmList1:
            for button in buttonList:
                x, y = button.pos
                w, h = button.size
                if x < lmList1[8][0] < x + w and y < lmList1[8][1] < y + h:
                    cv2.rectangle(img, (x - 5, y - 5), (x + w + 5, y + h + 5), (175, 0, 175), cv2.FILLED)
                    cv2.putText(img, button.text, (x + 20, y + 65),
                                cv2.FONT_HERSHEY_PLAIN, 4, (255, 255, 255), 4)
                    l, _ = detector.findDistance(lmList1[8], lmList1[12])

                    if l < 30:
                        keyboard.press(button.text)
                        cv2.rectangle(img, button.pos, (x + w, y + h), (0, 255, 0), cv2.FILLED)
                        cv2.putText(img, button.text, (x + 20, y + 65),
                                    cv2.FONT_HERSHEY_PLAIN, 4, (255, 255, 255), 4)
                        finalText += button.text
                        sleep(0.3)

    # Display
    cv2.rectangle(img, (50, 350), (700, 450), (175, 0, 175), cv2.FILLED)
    cv2.putText(img, finalText, (60, 430),cv2.FONT_HERSHEY_PLAIN, 5, (255, 255, 255), 5)
    img = drawAll(img, buttonList)
    cv2.imshow("Image", img)
    cv2.waitKey(1)