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output = self._evaluation_step(**kwargs) File "/site-packages/pytorch_lightning/loops/epoch/evaluation_epoch_loop.py", line 234, in _evaluation_step output = self.trainer._call_strategy_hook(hook_name, *kwargs.values()) File "/site-packages/pytorch_lightning/trainer/trainer.py", line 1494, in _call_strategy_hook output = fn(*args, **kwargs) File "/site-packages/pytorch_lightning/strategies/strategy.py", line 390, in validation_step return self.model.validation_step(*args, **kwargs) File "/nanodet/nanodet/trainer/task.py", line 140, in validation_step dets = self.model.head.post_process(preds, batch) File "/nanodet/model/head/nanodet_plus_head.py", line 440, in post_process det_bboxes[:, :4] = warp_boxes( File "/nanodet/nanodet/data/transform/warp.py", line 212, in warp_boxes xy = (xy[:, :2] / xy[:, 2:3]).reshape(n, 8) # rescale ValueError: cannot reshape array of size 18 into shape (3,8)
The text was updated successfully, but these errors were encountered:
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output = self._evaluation_step(**kwargs)
File "/site-packages/pytorch_lightning/loops/epoch/evaluation_epoch_loop.py", line 234, in _evaluation_step
output = self.trainer._call_strategy_hook(hook_name, *kwargs.values())
File "/site-packages/pytorch_lightning/trainer/trainer.py", line 1494, in _call_strategy_hook
output = fn(*args, **kwargs)
File "/site-packages/pytorch_lightning/strategies/strategy.py", line 390, in validation_step
return self.model.validation_step(*args, **kwargs)
File "/nanodet/nanodet/trainer/task.py", line 140, in validation_step
dets = self.model.head.post_process(preds, batch)
File "/nanodet/model/head/nanodet_plus_head.py", line 440, in post_process
det_bboxes[:, :4] = warp_boxes(
File "/nanodet/nanodet/data/transform/warp.py", line 212, in warp_boxes
xy = (xy[:, :2] / xy[:, 2:3]).reshape(n, 8) # rescale
ValueError: cannot reshape array of size 18 into shape (3,8)
The text was updated successfully, but these errors were encountered: