How to read the output of the graph? about dw2tf HOT 7 CLOSED

@noob-ja - the purpose of DW2TF is to translate the convolutional layers in a network defined in darknet to TensorFlow. It is up to you to add the necessary post-processing (e.g. non-max suppression etc) to convert the features to the respective bounding box and class predictions. Sorry I couldn't be of help here.

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@noob-ja
After getting the output of the net, use non-max suppression (NMS) to select the "best" boxes.
The pipeline in original YOLO code is "get the output of the net -> set a threshold to filter the boxes -> NMS".
For the last image, may be the net is not well-trained? Or, you should adjust the clustering parameters before training.

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im able to extract the output now, however, the result is not what i was expected

it keeps detecting a lot of aeroplane and apples in every single photo i feed in

in the picture below, i have set the object threshold to be 0.7, yet it detected aeroplane and apples to be above even that

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i see, thx for the help :) really appreciate it

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@noob-ja have you found the way to perform nms on the output?

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@noob-ja sorry, I am quite new to TF, how did you get the bounding box coordinates from those output layers? I am aware of how to do nms etc but can't understand how you can convert the output layers into bboxes,classes and scores (apologies if this is a basic question)

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@kapil0kumar Hi, were you able to extract the bounding boxes from the output? I'm having some trouble with that.

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