Traceback (most recent call last):


 "train_mask_rcnn.py", line 733, in <module>

train(net, train_data, val_data, eval_metric, batch_size, ctx, logger, args)


 "train_mask_rcnn.py", line 572, in train

executor.put(data)


 "/home/user/miniconda3/envs/gluon/lib/python3.8/site-packages/gluoncv/utils/parallel.py", line 119, in put

out = self._parallizable.forward_backward(x)


 "/home/user/miniconda3/envs/gluon/lib/python3.8/site-packages/gluoncv/model_zoo/rcnn/mask_rcnn/data_parallel.py", line 48, in forward_backward

cls_targets, box_targets, box_masks, indices = self.net(data, gt_box, gt_label)


 "/home/user/miniconda3/envs/gluon/lib/python3.8/site-packages/mxnet/gluon/block.py", line 682, in __call__

out = self.forward(*args)


 "/home/user/miniconda3/envs/gluon/lib/python3.8/site-packages/mxnet/gluon/block.py", line 1244, in forward

return self._call_cached_op(x, *args)


 "/home/user/miniconda3/envs/gluon/lib/python3.8/site-packages/mxnet/gluon/block.py", line 995, in _call_cached_op

self._build_cache(*args)


 "/home/user/miniconda3/envs/gluon/lib/python3.8/site-packages/mxnet/gluon/block.py", line 966, in _build_cache

self._deferred_infer_shape(*args)


 "/home/user/miniconda3/envs/gluon/lib/python3.8/site-packages/mxnet/gluon/block.py", line 991, in _deferred_infer_shape

raise ValueError(error_msg)
ValueError: Deferred initialization failed because shape cannot be inferred. MXNetError: Error in operator maskrcnn0_multiclassencoder0_pick0: Shape inconsistent, Provided = [2,512], inferred shape=[3,512]

Traceback (most recent call last):


 "/usr/local/bin/dcode", line 303, in <module>

main()


 "/usr/local/bin/dcode", line 301, in main

decode(string, 'none')


 "/usr/local/bin/dcode", line 277, in decode

hexenc(string, base)


 "/usr/local/bin/dcode", line 209, in hexenc

string = bytearray.fromhex(string)
ValueError: non-hexadecimal number found in fromhex() arg at position 4
