Comments (2)
@purvikpatel yes, you can. Clone this repo, then change layer name [yolo] to [Gaussian_yolo] in the config file and recalculate the filter numbers according to the gaussian layer. In normal yolo format, the calculation is:
filters = (4 box coordinates + objectness score + number of classes) * number of anchor boxes
eg. for general yolo architecture training on coco dataset (80 classes):
filters = (4 + 1 + 80) * 3 = 255
For gaussian yolo, the only change is the number of box coordinates, it's not 4 for gaussian yolo, but it's 8. So the calculation for the same configuration on coco dataset is:
filters = (8 + 1 + 80) * 3 = 267
I hope it helps :)
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@canyilmaz90
Nice explanation!
Thanks.
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