Crop images using polygon coordinates retrieved by detection

Imagery, data, and integrations Map data and detections
1

Hi, I want to crop some images downloaded previously, using the map feature’s polygon coordinates obtained previously, to have an image containing only the road sign cut out from the image, I tried to normalize the coordinates but the result is always an empty image , am I making a mistake in normalizing the coordinates?..

This is my testing code:

def cropImages(self):
    image_id = "381021976479284"
    image_url = f'https://graph.mapillary.com/{image_id}?access_token={codes.API_KEY}&fields=height,width'
    response = requests.get(image_url)
    image_data = response.json()
    height = image_data['height']
    width = image_data['width']

    # read image as RGB and add alpha (transparency)
    im = Image.open('D:/Dataset Custom Mapillary/images/771212506906717.png').convert('RGBA')
    polygon = [[1216, 2655], [1346, 2655], [1346, 2594], [1216, 2594], [1216, 2655]]
    pixel_coords = [(int(x / 4096 * width), int(y / 4096 * height)) for x, y in tuple(polygon)]

    # convert to numpy (for convenience)
    imArray = np.asarray(im)

    # create mask
    maskIm = Image.new('L', (imArray.shape[1], imArray.shape[0]), 0)
    ImageDraw.Draw(maskIm).polygon(pixel_coords, outline=1, fill=1)
    mask = np.array(maskIm)

    # assemble new image (uint8: 0-255)
    newImArray = np.empty(imArray.shape, dtype='uint8')

    # colors (three first columns, RGB)
    newImArray[:, :, :3] = imArray[:, :, :3]

    # transparency (4th column)
    newImArray[:, :, 3] = mask * 255

    # back to Image from numpy
    newIm = Image.fromarray(newImArray, "RGBA")
    newIm.save("D:/Dataset Custom Mapillary/images_crop/out.png")