Hey,
i have created a sequential model for augmenting my images
when i run it i get this error sometimes(i removed my code from the traceback since i think its to relevant here):
---------------------------------------------------------------------------
AssertionError Traceback (most recent call last)
...
...
...
~/miniconda3/envs/btd/lib/python3.9/site-packages/imgaug/augmenters/meta.py in __call__(self, *args, **kwargs)
2025 def __call__(self, *args, **kwargs):
2026 """Alias for :func:`~imgaug.augmenters.meta.Augmenter.augment`."""
-> 2027 return self.augment(*args, **kwargs)
2028
2029 def pool(self, processes=None, maxtasksperchild=None, seed=None):
~/miniconda3/envs/btd/lib/python3.9/site-packages/imgaug/augmenters/meta.py in augment(self, return_batch, hooks, **kwargs)
1996 )
1997
-> 1998 batch_aug = self.augment_batch_(batch, hooks=hooks)
1999
2000 # return either batch or tuple of augmentables, depending on what
~/miniconda3/envs/btd/lib/python3.9/site-packages/imgaug/augmenters/meta.py in augment_batch_(self, batch, parents, hooks)
641 pf_enabled = not self.deterministic
642 with iap.toggled_prefetching(pf_enabled):
--> 643 batch_inaug = self._augment_batch_(
644 batch_inaug,
645 random_state=self.random_state,
~/miniconda3/envs/btd/lib/python3.9/site-packages/imgaug/augmenters/meta.py in _augment_batch_(self, batch, random_state, parents, hooks)
3141
3142 for index in order:
-> 3143 batch = self[index].augment_batch_(
3144 batch,
3145 parents=parents + [self],
~/miniconda3/envs/btd/lib/python3.9/site-packages/imgaug/augmenters/meta.py in augment_batch_(self, batch, parents, hooks)
641 pf_enabled = not self.deterministic
642 with iap.toggled_prefetching(pf_enabled):
--> 643 batch_inaug = self._augment_batch_(
644 batch_inaug,
645 random_state=self.random_state,
~/miniconda3/envs/btd/lib/python3.9/site-packages/imgaug/augmenters/meta.py in _augment_batch_(self, batch, random_state, parents, hooks)
3650 if augmenters is not None and len(augmenters) > 0:
3651 batch_sub = batch.subselect_rows_by_indices(indices)
-> 3652 batch_sub = augmenters.augment_batch_(
3653 batch_sub,
3654 parents=parents + [self],
~/miniconda3/envs/btd/lib/python3.9/site-packages/imgaug/augmenters/meta.py in augment_batch_(self, batch, parents, hooks)
641 pf_enabled = not self.deterministic
642 with iap.toggled_prefetching(pf_enabled):
--> 643 batch_inaug = self._augment_batch_(
644 batch_inaug,
645 random_state=self.random_state,
~/miniconda3/envs/btd/lib/python3.9/site-packages/imgaug/augmenters/meta.py in _augment_batch_(self, batch, random_state, parents, hooks)
3420 if len(active) > 0:
3421 batch_sub = batch.subselect_rows_by_indices(active)
-> 3422 batch_sub = self[augmenter_index].augment_batch_(
3423 batch_sub,
3424 parents=parents + [self],
~/miniconda3/envs/btd/lib/python3.9/site-packages/imgaug/augmenters/meta.py in augment_batch_(self, batch, parents, hooks)
641 pf_enabled = not self.deterministic
642 with iap.toggled_prefetching(pf_enabled):
--> 643 batch_inaug = self._augment_batch_(
644 batch_inaug,
645 random_state=self.random_state,
~/miniconda3/envs/btd/lib/python3.9/site-packages/imgaug/augmenters/blend.py in _augment_batch_(self, batch, random_state, parents, hooks)
847 self, batch, hooks, parents)
848
--> 849 masks = self.mask_generator.draw_masks(batch, random_state)
850
851 for i, mask in enumerate(masks):
~/miniconda3/envs/btd/lib/python3.9/site-packages/imgaug/augmenters/blend.py in draw_masks(self, batch, random_state)
2615 random_state=random_state)
2616
-> 2617 return [self._draw_mask(shape, random_state, per_channel_i)
2618 for shape, per_channel_i
2619 in zip(shapes, per_channel)]
~/miniconda3/envs/btd/lib/python3.9/site-packages/imgaug/augmenters/blend.py in <listcomp>(.0)
2615 random_state=random_state)
2616
-> 2617 return [self._draw_mask(shape, random_state, per_channel_i)
2618 for shape, per_channel_i
2619 in zip(shapes, per_channel)]
~/miniconda3/envs/btd/lib/python3.9/site-packages/imgaug/augmenters/blend.py in _draw_mask(self, shape, random_state, per_channel)
2640 if mask.item(0) > 1:
2641 print(mask.item(0))
-> 2642 assert 0 <= mask.item(0) <= 1.0, (
2643 "Expected 'parameter' samples to be in the interval "
2644 "[0.0, 1.0]. Got min %.4f and max %.4f." % (
AssertionError: Expected 'parameter' samples to be in the interval [0.0, 1.0]. Got min 0.0173 and max 1.0000.
After some debugging, it seems that the max number is about 1.0000000001.
this is generated by the draw_masks function which just generates it randomly using a RNG object.
if i run this in a while true, after a while, randomly, it will throw this exception.
i have also tried to run the draw_samples functions (which is used in blend.py:2635) which runs before the assertion to generate the masks and it also generates sometimes a number above 1 (slightly) every 10,000 iterations.
Hey, i have created a sequential model for augmenting my images when i run it i get this error sometimes(i removed my code from the traceback since i think its to relevant here):
After some debugging, it seems that the max number is about 1.0000000001. this is generated by the draw_masks function which just generates it randomly using a RNG object. if i run this in a while true, after a while, randomly, it will throw this exception. i have also tried to run the draw_samples functions (which is used in blend.py:2635) which runs before the assertion to generate the masks and it also generates sometimes a number above 1 (slightly) every 10,000 iterations.