Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)【安全加固,暂停交互,请耐心等待】
File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/multiprocessing/process.py", line 297, in _bootstrap
self.run()
File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/multiprocessing/process.py", line 99, in run
self._target(*self._args, **self._kwargs)
File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlex/cv/datasets/dataset.py", line 166, in _read_into_queue
six.reraise(*sys.exc_info())
File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/six.py", line 703, in reraise
raise value
File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlex/cv/datasets/dataset.py", line 158, in _read_into_queue
result = mapper(sample[0], sample[1], sample[2])
File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlex/cv/transforms/seg_transforms.py", line 152, in call
outputs = op(im, im_info, label)
File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlex/cv/transforms/seg_transforms.py", line 759, in call
self.label_padding_value))
File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/numpy/lib/arraypad.py", line 1172, in pad
pad_width = _as_pairs(pad_width, narray.ndim, as_index=True)
File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/numpy/lib/arraypad.py", line 953, in _as_pairs
return np.broadcast_to(x, (ndim, 2)).tolist()
File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/numpy/lib/stride_tricks.py", line 182, in broadcast_to
return _broadcast_to(array, shape, subok=subok, readonly=True)
File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/numpy/lib/stride_tricks.py", line 129, in _broadcast_to
op_flags=[op_flag], itershape=shape, order='C')
ValueError: operands could not be broadcast together with remapped shapes [original->remapped]: (2,2) and requested shape (3,2)
Traceback (most recent call last):
File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/multiprocessing/process.py", line 297, in _bootstrap self.run()
File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/multiprocessing/process.py", line 99, in run self._target(*self._args, **self._kwargs)
File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlex/cv/datasets/dataset.py", line 166, in _read_into_queue six.reraise(*sys.exc_info())
File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/six.py", line 703, in reraise raise value
File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlex/cv/datasets/dataset.py", line 158, in _read_into_queue result = mapper(sample[0], sample[1], sample[2])
File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlex/cv/transforms/seg_transforms.py", line 152, in call outputs = op(im, im_info, label)
File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlex/cv/transforms/seg_transforms.py", line 759, in call self.label_padding_value)) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/numpy/lib/arraypad.py", line 1172, in pad pad_width = _as_pairs(pad_width, narray.ndim, as_index=True) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/numpy/lib/arraypad.py", line 953, in _as_pairs return np.broadcast_to(x, (ndim, 2)).tolist() File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/numpy/lib/stride_tricks.py", line 182, in broadcast_to return _broadcast_to(array, shape, subok=subok, readonly=True) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/numpy/lib/stride_tricks.py", line 129, in _broadcast_to op_flags=[op_flag], itershape=shape, order='C') ValueError: operands could not be broadcast together with remapped shapes [original->remapped]: (2,2) and requested shape (3,2)