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I have trained YOLOv3 darknet model on my custom dataset. First I have cloned the https://github.com/kriyeng/darknet/ repository in google colab and then run the whole code in google colab. But I want to change the color of the bounding boxes in the output video. Please suggest how to do it. Thanks in advance.

Sneha Roy
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1 Answers1

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Here is a solution in C++ but you can apply it to python as well. Just change the values in Scalar. In the example below it is set to the color red. 

//Draw a rectangle displaying the bounding box
rectangle(frame, Point(left, top), Point(right, bottom), Scalar(0, 0, 255));
yudhiesh
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  • Yo, how to get scalar? – Shahriar Kabir Khan Aug 27 '20 at 00:01
  • Scalar is present by default in OpenCV to allow you to pass pixel values. If you're using python I do not think the Scalar type in C++ and Python are the same. You could do the following # Create a blank 300x300 black image image = np.zeros((300, 300, 3), np.uint8) # Fill image with red colour (set each pixel to red BGR not RGB) image[:] = (0, 0, 255) – yudhiesh Aug 27 '20 at 01:58