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I got a question about the train_svhn.py #105
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Well, you did not separate the digits in the first line by a tab ( |
Thank you very much. I'll try it now. |
When changed to tsv, like this: (Ps:This is the changed JOSN file |
okay, did you also change the delimiter between all values in the |
thank (^▽^) |
I want to reproduce the results with 95.2% accuracy obtained in the paper(SVHN), but I don't quite understand which dataset use as a training set and a validation set, how do you get your val set and whether you can reproduce the results of the original paper? |
python train_svhn.py ../datasets/svhn/jsonfile/svhn_curriculum_specification.json ../datasets/svhn/runningLog/ -g 0 --char-map ../datasets/svhn/svhn_char_map.json -b 10
Traceback (most recent call last):
File "train_fsns.py", line 84, in
train_dataset, validation_dataset = curriculum.load_dataset(0)
File "/home/donglong_5/SEE/see-master/chainer/utils/baby_step_curriculum.py", line 40, in load_dataset
train_dataset = self.dataset_class(self.train_curriculum[level], **self.dataset_args)
File "/home/donglong_5/SEE/see-master/chainer/datasets/file_dataset.py", line 31, in init
self.num_timesteps, self.num_labels = (int(i) for i in next(reader))
File "/home/donglong_5/SEE/see-master/chainer/datasets/file_dataset.py", line 31, in
self.num_timesteps, self.num_labels = (int(i) for i in next(reader))
ValueError: invalid literal for int() with base 10: '1 2'
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