pip install opencv-python
pip install cvzone

import os
import cv2
from cvzone.PoseModule import PoseDetector

# Initialize webcam
cap = cv2.VideoCapture(0)
detector = PoseDetector()

# Path to shirt images
shirtFolderPath = "C:/Users/hanis/Downloads/Resources-1/Resources/Shirts"
listShirts = os.listdir(shirtFolderPath)

# Calculate the fixed aspect ratio
fixedRatio = 262 / 190  # widthOfShirt / widthOfPoint11to12
shirtRatioHeightWidth = 581 / 440

# Initialize image number for shirt selection
imageNumber = 0

# Load overlay images and buttons
imgButtonRight = cv2.imread("C:/Users/hanis/Downloads/Resources-1/Resources/button.png", cv2.IMREAD_UNCHANGED)
imgButtonLeft = cv2.flip(imgButtonRight, 1)

# Resize the overlay images
overlay_width = 128
overlay_height = 128
imgButtonRight = cv2.resize(imgButtonRight, (overlay_width, overlay_height))[:, :, :3]
imgButtonLeft = cv2.resize(imgButtonLeft, (overlay_width, overlay_height))[:, :, :3]

while True:
    success, img = cap.read()
    img = detector.findPose(img)
    
    lmList, bboxInfo = detector.findPosition(img, bboxWithHands=False, draw=False)
    if lmList:
        # Your code here
        pass

 # Calculate necessary parameters for shirt placement
        lm11 = lmList[11][1:3]
        lm12 = lmList[12][1:3]
        imgShirt = cv2.imread(os.path.join(shirtFolderPath, listShirts[imageNumber]), cv2.IMREAD_UNCHANGED)

        # Calculate the width of the shirt based on pose landmarks
        widthOfShirt = int((lm11[0] - lm12[0]) * fixedRatio)
        imgShirt = cv2.resize(imgShirt, (widthOfShirt, int(widthOfShirt * shirtRatioHeightWidth)))

        # Calculate offset based on current scale
        currentScale = (lm11[0] - lm12[0]) / 190
        offset = int(44 * currentScale), int(48 * currentScale)

# Overlay the shirt on the person's body
        try:
            for c in range(3):
                img[lm12[1] - offset[1]:lm12[1] - offset[1] + imgShirt.shape[0], 
                    lm12[0] - offset[0]:lm12[0] - offset[0] + imgShirt.shape[1], c] = \
                    img[lm12[1] - offset[1]:lm12[1] - offset[1] + imgShirt.shape[0], 
                    lm12[0] - offset[0]:lm12[0] - offset[0] + imgShirt.shape[1], c] * \
                    (1 - imgShirt[:, :, 3] / 255.0)
        except:
            pass

# Overlay interactive buttons for shirt selection
        overlay_right_x = img.shape[1] - imgButtonRight.shape[1] - 10
        overlay_left_x = 10

        img[293:293 + imgButtonRight.shape[0], overlay_right_x:overlay_right_x + imgButtonRight.shape[1]] = imgButtonRight
        img[293:293 + imgButtonLeft.shape[0], overlay_left_x:overlay_left_x + imgButtonLeft.shape[1]] = imgButtonLeft

 # Implement button interaction for shirt selection
        if lmList[16][1] < 300:
            counterRight += 1
            cv2.ellipse(img, (139, 360), (66, 66), 0, 0,
                        counterRight * selectionSpeed, (0, 255, 0), 20)
            if counterRight * selectionSpeed > 360:
                counterRight = 0
                if imageNumber < len(listShirts) - 1:
                    imageNumber += 1
        elif lmList[15][1] > 900:
            counterLeft += 1
            cv2.ellipse(img, (1138, 360), (66, 66), 0, 0,
                        counterLeft * selectionSpeed, (0, 255, 0), 20)
            if counterLeft * selectionSpeed > 360:
                counterLeft = 0
                if imageNumber > 0:
                    imageNumber -= 1
        else:
            counterRight = 0
            counterLeft = 0