So Im trying to get coordinates of the given 3D floor plan and those coordinates will be used in Javascript program using THREE.JS, THREE.Vector3 and THREE.ExtrudeGeometry.

This is the code I have used:

import cv2 as cv

# Load your image
img = cv.imread("house-drawing.png")

# Convert image to grayscale
img_gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)

# Thresholding to binarize the image (adjust threshold values as needed)
ret, thresh = cv.threshold(img_gray, 100, 255, cv.THRESH_BINARY)

# Find contours
contours, hierarchy = cv.findContours(thresh, cv.RETR_TREE, cv.CHAIN_APPROX_SIMPLE)

# Filter contours based on size or other criteria
filtered_contours = []
for contour in contours:
    # Calculate contour area
    area = cv.contourArea(contour)
    
    # Filter contours based on area (adjust threshold as needed)
    if area > 1000:  # Adjust this value based on your image size and requirements
        # Approximate the contour to reduce points
        epsilon = 0.02 * cv.arcLength(contour, True)
        approx = cv.approxPolyDP(contour, epsilon, True)
        
        filtered_contours.append(approx)
        
        # Print the coordinates of the contour
        for point in approx:
            x, y = point[0]
            print(f"{{x: {x}, y: {y}}},")

# Draw contours on the original image
cv.drawContours(img, filtered_contours, -1, (0, 255, 0), 3)

# Save the output image
cv.imwrite("out.png", img)

This is the target picture Im trying to get coordinates of:
Floor map plan

Im trying to get the coordinates like this for my Javascript program using Three JS:

]
    { x: 204, y: 363 },
    { x: 212, y: 48 },
    { x: 212, y: 191 },
    { x: 349, y: 191 },
    { x: 349, y: 49 },
]