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A basic ensemble method for object detection. Given bounding boxes from multiple object detectors, output a single cohesive set of bounding boxes.

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Do you have plans to integrate this for MMDetection framework? I am curious about this project and excited for MMDetection integration. This will help me for my project. Thanks

I have a question in your code. If one bbox overlaps any other one, you devide its confidence score by number of detectors(line 82). So why ndets? I think it's...

This fixes issue #2. There are some whitespace changes, so please view the diff with `?w=1` (https://blog.github.com/2011-10-21-github-secrets/#whitespace)

dets = [ [ [5.0,5.01,1.0,1.0,0,0.9] ], [[0.2, 0.1, 0.9, 1.1, 0, 0.8],[5.0, 5.0, 1.0 , 1.0, 0, 0.9]], [[5.0,5.0,1.0,1.0,0,0.9]], [[5.0,5.0,1.0,1.0,0,0.9]], [[5.0,5.0,1.0,1.0,0,0.9]], [[5.0,5.0,1.0,1.0,0,0.9]] ] For such a detection your code gives...

Hi, I have question as to what happens if a box does not have any overlap with a box from other detectors? Does its confidence score get changed? My thought...