How to use Azure custom vision service response bo

I am using Azure cognitive-service custom vision service to detect shapes from capture images. As per their documentation, I got the response as per their format.

But I am an facing issue to plot the shape above the image.

{
    "id": "0fbda4ee-8956-4979-bf57-a252441af98d",
    "project": "9ca4032b-beeb-40ad-9396-1c3fcfd9ba89",
    "iteration": "27c85265-a158-4fc4-b22a-d535dd758d80",
    "created": "2018-06-11T09:34:29.9496528Z",
    "predictions": [
        {
            "probability": 0.0102891214,
            "tagId": "677afcf8-bc4a-493f-b588-707663286125",
            "tagName": "ball",
            "boundingBox": {
                "left": 0.2889924,
                "top": 0.0169312358,
                "width": 0.7007024,
                "height": 0.8284572
            }
        },
        {
            "probability": 0.012788726,
            "tagId": "ca844f08-b6c0-4d9a-9010-73945d442708",
            "tagName": "cricket ball",
            "boundingBox": {
                "left": 0.304018974,
                "top": 0.413163722,
                "width": 0.299461246,
                "height": 0.436399817
            }
        },
        {
            "probability": 0.0229086485,
            "tagId": "ca844f08-b6c0-4d9a-9010-73945d442708",
            "tagName": "cricket ball",
            "boundingBox": {
                "left": 0.2889924,
                "top": 0.0169312358,
                "width": 0.7007024,
                "height": 0.8284572
            }
        },
        {
            "probability": 0.0100123268,
            "tagId": "4672144d-5593-446f-be63-5144a35d0e6e",
            "tagName": "pipe",
            "boundingBox": {
                "left": 0.711509764,
                "top": 0.377838552,
                "width": 0.07217276,
                "height": 0.113578767
            }
        },
        {
            "probability": 0.0167990718,
            "tagId": "4672144d-5593-446f-be63-5144a35d0e6e",
            "tagName": "pipe",
            "boundingBox": {
                "left": 0.9821227,
                "top": 0.9500536,
                "width": 0.0115685463,
                "height": 0.033854425
            }
        },
        {
            "probability": 0.923659563,
            "tagId": "4672144d-5593-446f-be63-5144a35d0e6e",
            "tagName": "pipe",
            "boundingBox": {
                "left": 0.288039029,
                "top": 0.411838,
                "width": 0.291451037,
                "height": 0.4237842
            }
        }
    ]
}

Above is the response I got in that Custom vision API call. But the issue is with boundingBox. It is having values always in a fraction, starting from 0. Now if I want to use that and want to draw a square, then it is not possible as because I don't know exact logic behind drawing square/rectangles from that values.

How can I use those values and draw a rectangles/square using it?

Reply / TL;DR

These boundingBox values are in percent of the image original size, so you can draw the rectangle by multiplying the values by the image width (for left and width values) or by the image height (for top and height values).

Keep in mind that the position is expressed from the top left corner, so position 0,0 is this corner.

Details with a sample

I got a small custom vision detecting cola bottles.

Original image is the following one:

I used the Custom Vision portal to make a prediction and got the following result - let's focus on this highlighted result with a 87,5% score:

Using the API (available here), I also made the Predict operation and got (among other details) this prediction:

{
    "probability": 0.875464261,
    "tagId": "1932c95f-ed4a-4675-bde4-c2457e1389e6",
    "tagName": "CocaLight",
    "boundingBox": {
      "left": 0.453497916,
      "top": 0.0,
      "width": 0.2523211,
      "height": 0.8738168
    }
}

Considering that my image dimension is 800 x 652 (so ImageWidth 800, ImageHeight 652):

Rectangle draw

Top left point position?

x (vertical distance from the left border) = left value from API x ImageWidth => 0.453497916 x 800 = 362
y (horizontal distance from the top border) = top value from the API x ImageHeight => 0.0 x 652 = 0

So my rectangle starting position is (362,0).

Size?