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I have trouble training Faster RCNN with Pascal VOC dataset (Batch size > 1). It seems like inputs have different shape so that they cant be gathered into batchs.
I figure out that in faster_rcnn_preprocessing.py, inputs are resized by short_side_resize function.
How can I fix this? Is this a bug?
Thanks!
2020-02-04 12:02:39.315142: I tensorflow/stream_executor/dso_loader.cc:152] successfully opened CUDA library libcublas.so.10.0 locally
Traceback (most recent call last):
File "/opt/anaconda/envs/global/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1334, in _do_call
return fn(*args)
File "/opt/anaconda/envs/global/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1319, in _run_fn
options, feed_dict, fetch_list, target_list, run_metadata)
File "/opt/anaconda/envs/global/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1407, in _call_tf_sessionrun
run_metadata)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Cannot batch tensors with different shapes in component 1. First element had shape [900,600,3] and element 1 had shape [757,600,3].
[[{{node data/IteratorGetNext}}]]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "main.py", line 69, in <module>
tf.app.run()
File "/opt/anaconda/envs/global/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 125, in run
_sys.exit(main(argv))
File "main.py", line 55, in main
learner.train()
File "/hdd/Minhbq/PocketFlow/learners/full_precision/learner.py", line 71, in train
self.sess_train.run(self.train_op)
File "/opt/anaconda/envs/global/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 929, in run
run_metadata_ptr)
File "/opt/anaconda/envs/global/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1152, in _run
feed_dict_tensor, options, run_metadata)
File "/opt/anaconda/envs/global/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1328, in _do_run
run_metadata)
File "/opt/anaconda/envs/global/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1348, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Cannot batch tensors with different shapes in component 1. First element had shape [900,600,3] and element 1 had shape [757,600,3].
[[node data/IteratorGetNext (defined at /hdd/Minhbq/PocketFlow/learners/full_precision/learner.py:121) ]]
Caused by op 'data/IteratorGetNext', defined at:
File "main.py", line 69, in <module>
tf.app.run()
File "/opt/anaconda/envs/global/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 125, in run
_sys.exit(main(argv))
File "main.py", line 51, in main
learner = create_learner(sm_writer, model_helper)
File "/hdd/Minhbq/PocketFlow/learners/learner_utils.py", line 46, in create_learner
learner = FullPrecLearner(sm_writer, model_helper)
File "/hdd/Minhbq/PocketFlow/learners/full_precision/learner.py", line 54, in __init__
self.__build(is_train=True)
File "/hdd/Minhbq/PocketFlow/learners/full_precision/learner.py", line 121, in __build
images, labels = iterator.get_next()
File "/opt/anaconda/envs/global/lib/python3.6/site-packages/tensorflow/python/data/ops/iterator_ops.py", line 414, in get_next
output_shapes=self._structure._flat_shapes, name=name)
File "/opt/anaconda/envs/global/lib/python3.6/site-packages/tensorflow/python/ops/gen_dataset_ops.py", line 1685, in iterator_get_next
output_shapes=output_shapes, name=name)
File "/opt/anaconda/envs/global/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 788, in _apply_op_helper
op_def=op_def)
File "/opt/anaconda/envs/global/lib/python3.6/site-packages/tensorflow/python/util/deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "/opt/anaconda/envs/global/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3300, in create_op
op_def=op_def)
File "/opt/anaconda/envs/global/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1801, in __init__
self._traceback = tf_stack.extract_stack()
InvalidArgumentError (see above for traceback): Cannot batch tensors with different shapes in component 1. First element had shape [900,600,3] and element 1 had shape [757,600,3].
[[node data/IteratorGetNext (defined at /hdd/Minhbq/PocketFlow/learners/full_precision/learner.py:121) ]]
The text was updated successfully, but these errors were encountered:
I have trouble training Faster RCNN with Pascal VOC dataset (Batch size > 1). It seems like inputs have different shape so that they cant be gathered into batchs.
I figure out that in
faster_rcnn_preprocessing.py
, inputs are resized by short_side_resize function.How can I fix this? Is this a bug?
Thanks!
My command:
Error:
The text was updated successfully, but these errors were encountered: