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Hi, I'm experimenting with your repository but the training stops with error, raising this exception:
File "/home/davidecremona/PycharmProjects/Mobilenet-ssd-keras/training/drb_train_mobilenet_ssd.py", line 262, in <module>
train(args)
File "/home/davidecremona/PycharmProjects/Mobilenet-ssd-keras/training/drb_train_mobilenet_ssd.py", line 242, in train
callbacks=callbacks
File "/usr/local/lib/python3.6/dist-packages/keras/legacy/interfaces.py", line 91, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/keras/engine/training.py", line 1418, in fit_generator
initial_epoch=initial_epoch)
File "/usr/local/lib/python3.6/dist-packages/keras/engine/training_generator.py", line 181, in fit_generator
generator_output = next(output_generator)
File "/usr/local/lib/python3.6/dist-packages/keras/utils/data_utils.py", line 709, in get
six.reraise(*sys.exc_info())
File "/home/davidecremona/.local/lib/python3.6/site-packages/six.py", line 703, in reraise
raise value
File "/usr/local/lib/python3.6/dist-packages/keras/utils/data_utils.py", line 685, in get
inputs = self.queue.get(block=True).get()
File "/usr/lib/python3.6/multiprocessing/pool.py", line 670, in get
raise self._value
File "/usr/lib/python3.6/multiprocessing/pool.py", line 119, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.6/dist-packages/keras/utils/data_utils.py", line 626, in next_sample
return six.next(_SHARED_SEQUENCES[uid])
File "/home/davidecremona/PycharmProjects/Mobilenet-ssd-keras/misc/ssd_batch_generator.py", line 1325, in generate
batch_y_true = ssd_box_encoder.encode_y(batch_y, diagnostics=False) # Encode the labels into the `y_true` tensor that the SSD loss function needs.
File "/home/davidecremona/PycharmProjects/Mobilenet-ssd-keras/misc/ssd_box_encode_decode_utils.py", line 929, in encode_y
y_encode_template = self.generate_encode_template(batch_size=len(ground_truth_labels), diagnostics=False)
File "/home/davidecremona/PycharmProjects/Mobilenet-ssd-keras/misc/ssd_box_encode_decode_utils.py", line 874, in generate_encode_template
boxes_tensor = np.concatenate(boxes_batch, axis=1)
File "<__array_function__ internals>", line 6, in concatenate
ValueError: all the input array dimensions for the concatenation axis must match exactly, but along dimension 2, the array at index 0 has size 19 and the array at index 1 has size 10
Process finished with exit code 1
Can you please give me some hint in what I'm doing wrong?
Thanks,
Davide.
The text was updated successfully, but these errors were encountered:
Hi, I'm experimenting with your repository but the training stops with error, raising this exception:
Can you please give me some hint in what I'm doing wrong?
Thanks,
Davide.
The text was updated successfully, but these errors were encountered: