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haeusser / learning_by_association

This repository contains code for the paper Learning by Association - A versatile semi-supervised training method for neural networks (CVPR 2017) and the follow-up work Associative Domain Adaptation (ICCV 2017).
https://vision.in.tum.de/members/haeusser
Apache License 2.0
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UnicodeDecodeError--Thank you #16

Closed 4Statistics closed 4 years ago

4Statistics commented 6 years ago

Hello,haeusser,I was trying to reproduce the result on the paper too, SVHN to MNIST. But met error as "UnicodeDecodeError", Do you know how to correct the error? Thank you very much.

Extracting /media/sward/_lyh1/datasets/mnist//train-images-idx3-ubyte.gz Traceback (most recent call last): File "./learning_by_association/semisup/train.py", line 386, in app.run() File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/platform/app.py", line 48, in run _sys.exit(main(_sys.argv[:1] + flags_passthrough)) File "./learning_by_association/semisup/train.py", line 208, in main FLAGS.target_dataset_split) File "/media/sward/_lyh1/learning_by_association/semisup/tools/mnist3.py", line 34, in get_data images, labels = mnist.get_data(name) File "/media/sward/_lyh1/learning_by_association/semisup/tools/mnist.py", line 43, in get_data '/train-images-idx3-ubyte.gz'), extract_labels( File "/media/sward/_lyh1/learning_by_association/semisup/tools/mnist.py", line 60, in extract_images magic = _read32(bytestream) File "/media/sward/_lyh1/learning_by_association/semisup/tools/mnist.py", line 53, in _read32 return np.frombuffer(bytestream.read(4), dtype=dt)[0] File "/usr/lib/python3.5/gzip.py", line 274, in read return self._buffer.read(size) File "/usr/lib/python3.5/_compression.py", line 68, in readinto data = self.read(len(byte_view)) File "/usr/lib/python3.5/gzip.py", line 461, in read if not self._read_gzip_header(): File "/usr/lib/python3.5/gzip.py", line 404, in _read_gzip_header magic = self._fp.read(2) File "/usr/lib/python3.5/gzip.py", line 91, in read self.file.read(size-self._length+read) File "/usr/lib/python3.5/codecs.py", line 321, in decode (result, consumed) = self._buffer_decode(data, self.errors, final) UnicodeDecodeError: 'utf-8' codec can't decode byte 0x8b in position 1: invalid start byte

seongkyun commented 6 years ago

Just run the code on Python2 with Tensorflow version after r1.0. The code will be ran perfectly.

I think only Python 3 occurs this error.

haeusser commented 6 years ago

Thank you, @seongkyun for stepping in :-) On Sun 2 Sep 2018 at 09:42, seongkyun notifications@github.com wrote:

Just run the code on Python2 with Tensorflow version after r1.0. The code will be ran perfectly.

I think only Python 3 occurs this error.

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