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Hi everyone!
I have a problem.
I have deployed an Object Detection Model that can predict 3 different classes.
Everything works just fine. The problem is that when I have let´s say more than 3 objects in the picture, I see the different prediction bounding boxes in the picture, but when I want to evaluate the prediction confidence, I do not know to which object refers to. In order to solve it, I would need a number next to the label on the picture and on the prediction list, so I can link each object to its own prediction.
I hope I made myself clear.
And I wish there is a solution.
All the best!
Jorge
Here is what you can do
- First set the property ShowBoundingBoxes of the ObjectDetector component to false, so we hide the default bounding boxes.
- Then, add the BoundingBox column to your result table and set the property Visible of this column to false.
- Last, insert a Rectangle component that will serve as our dynamic bounding box display and set the properties to
Height=DataTable1.Selected.BoundingBox.Height*(ObjectDetector1.Height)
Width=DataTable1.Selected.BoundingBox.Width*ObjectDetector1.Width
X=DataTable1.Selected.BoundingBox.Left*ObjectDetector1.Width+ObjectDetector1.X
Y=DataTable1.Selected.BoundingBox.Top*ObjectDetector1.Height+ObjectDetector1.Y
With DataTable1 being you result table.
Now each time you will select a row in your table, the rectangle will appropriately show up on the image.
Hi Ashbhatia! Let me sent you a screenshot.
As you can see, I have two visible labels, and in outcome table I have the label prediction plus its probability. But how can I know to which bounding box the first 10-30% prediction with confidence 0.8358768 belongs to? The same with the below 40-70%, I do not know to which image they represent the probability. Basically I am missing the link between the prediction and the picture. I went through the documentation but I could not find any related information.
I hope I made myself clear and looking forward to your comments.
Thanks in advance!
Jorge
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