henrylee2570 / noisyanchor Goto Github PK
View Code? Open in Web Editor NEWLearning from Noisy Anchors for One-stage Object Detection
License: Apache License 2.0
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Missing default top N indices when there are no GT boxes
Hi there. Thanks for very much for making your code public!
I've been experimenting with this repository and have encountered an error during training on a custom dataset. Namely, after a few hundred iterations, I got the following error:
ERROR [04/12 14:58:31 d2.engine.train_loop]: Exception during training:
Traceback (most recent call last):
File "/home/root/NoisyAnchor/detectron2/engine/train_loop.py", line 132, in train
self.run_step()
File "/home/root/NoisyAnchor/detectron2/engine/train_loop.py", line 215, in run_step
loss_dict = self.model(data)
File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "/home/root/NoisyAnchor/detectron2/modeling/meta_arch/retinanet_noisy.py", line 220, in forward
gt_classes, gt_anchors_reg_deltas, soft_labels, reweight_coeffs = self.get_ground_truth(anchors, gt_instances, box_cls, box_delta)
File "/usr/local/lib/python3.8/dist-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "/home/root/NoisyAnchor/detectron2/modeling/meta_arch/retinanet_noisy.py", line 364, in get_ground_truth
gt_matched_idxs, anchor_labels, topN_inds = self.matcher(match_quality_matrix)
ValueError: not enough values to unpack (expected 3, got 2)
Digging a bit deeper, I noticed that when there are no ground truth boxes in an example, only two objects are returned when calling MatcherTopN (see here). However, three objects are expected in the training loop (see here).
I'm guessing some kind of default_topN_indices needs to be returned, though I'm not sure what would be most appropriate.
Thanks!
where is the code？
Thank you for your work. I have not used detectron, could you please tell me the file location of this Noisy Anchor implementation?
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