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bbox_to_activ in metrics.py #69

@mbuttery-ghd

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@mbuttery-ghd

def bbox_to_activ(bboxes, anchors, flatten=True):
"Return the target of the model on `anchors` for the `bboxes`."
if flatten:
t_centers = (bboxes[...,:2] - anchors[...,:2]) / anchors[...,2:]
t_sizes = torch.log(bboxes[...,2:] / anchors[...,2:] + 1e-8)
return torch.cat([t_centers, t_sizes], -1).div_(bboxes.new_tensor([[0.1, 0.1, 0.2, 0.2]]))
else: return [activ_to_bbox(act,anc) for act,anc in zip(acts, anchors)]
return res

Shouldn't line 23 be

else: return [bbox_to_activ(bbox, anc) for bbox, anc in zip(bboxes, anchors)]

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