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terasakisatoshi / chainer-food-101

classify category of food with Chainer
MIT License
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I got a ERROR #7

Open namedysx opened 5 years ago

namedysx commented 5 years ago

Traceback (most recent call last): File "D:\anaconda\lib\threading.py", line 914, in _bootstrap_inner self.run() File "D:\anaconda\lib\threading.py", line 862, in run self._target(*self._args, *self._kwargs) File "D:\anaconda\lib\site-packages\chainer\iterators\multiprocess_iterator.py", line 401, in fetch_batch batch_ret[0] = [self.dataset[idx] for idx in indices] File "D:\anaconda\lib\site-packages\chainer\iterators\multiprocess_iterator.py", line 401, in batch_ret[0] = [self.dataset[idx] for idx in indices] File "D:\anaconda\lib\site-packages\chainer\dataset\dataset_mixin.py", line 67, in getitem return self.get_example(index) File "D:\anaconda\lib\site-packages\chainer\datasets\sub_dataset.py", line 76, in get_example return self._dataset[index] File "D:\anaconda\lib\site-packages\chainer\dataset\dataset_mixin.py", line 67, in getitem return self.get_example(index) File "D:\project\chainer-food-101\dataset.py", line 91, in get_example image = transforms.pca_lighting(image, 76.5) File "D:\anaconda\lib\site-packages\chainercv\transforms\image\pca_lighting.py", line 48, in pca_lighting img += eigen_vector.dot(eigen_value alpha).reshape((-1, 1, 1)) TypeError: Cannot cast ufunc add output from dtype('float64') to dtype('uint8') with casting rule 'same_kind'

Exception in main training loop: 'NoneType' object is not iterable Traceback (most recent call last): File "D:\anaconda\lib\site-packages\chainer\training\trainer.py", line 315, in run update() File "D:\anaconda\lib\site-packages\chainer\training\updaters\standard_updater.py", line 165, in update self.update_core() File "D:\anaconda\lib\site-packages\chainer\training\updaters\standard_updater.py", line 170, in update_core batch = iterator.next() File "D:\anaconda\lib\site-packages\chainer\iterators\multiprocess_iterator.py", line 148, in next self.dataset_timeout) File "D:\anaconda\lib\site-packages\chainer\iterators\multiprocess_iterator.py", line 417, in measure self.mem_size = max(map(_measure, batch)) Will finalize trainer extensions and updater before reraising the exception. Traceback (most recent call last): File "train.py", line 137, in main() File "train.py", line 133, in main train(args) File "train.py", line 106, in train trainer.run() File "D:\anaconda\lib\site-packages\chainer\training\trainer.py", line 329, in run six.reraise(*sys.exc_info()) File "D:\anaconda\lib\site-packages\six.py", line 693, in reraise raise value File "D:\anaconda\lib\site-packages\chainer\training\trainer.py", line 315, in run update() File "D:\anaconda\lib\site-packages\chainer\training\updaters\standard_updater.py", line 165, in update self.update_core() File "D:\anaconda\lib\site-packages\chainer\training\updaters\standard_updater.py", line 170, in update_core batch = iterator.next() File "D:\anaconda\lib\site-packages\chainer\iterators\multiprocess_iterator.py", line 148, in next self.dataset_timeout) File "D:\anaconda\lib\site-packages\chainer\iterators\multiprocess_iterator.py", line 417, in measure self.mem_size = max(map(_measure, batch)) TypeError: 'NoneType' object is not iterable

terasakisatoshi commented 5 years ago

@namedysx thank you for your reporting.

This is cause of

https://github.com/terasakisatoshi/chainer-food-101/blob/master/dataset.py#L91

, so removing this line will resolve your error.

I have a long business trip for now. I can't fix it right away. If I go back my home, I will fix it. Thank you.

namedysx commented 5 years ago

@namedysx thank you for your reporting.

This is cause of

https://github.com/terasakisatoshi/chainer-food-101/blob/master/dataset.py#L91

, so removing this line will resolve your error.

I have a long business trip for now. I can't fix it right away. If I go back my home, I will fix it. Thank you. thanks for your reply! I had removed this line, but the error remain. return that, D:\project\chainer-food-101>python train.py --device 0 --epoch 100 --destination trained multiplier 1.0 model_name mv2 destination trained seed 12345 dataset food-101 batch_size 32 device 0 resume epoch 100 INFO:dataset:bread_pudding/1375816 is in BLACKLIST INFO:dataset:lasagna/3787908 is in BLACKLIST INFO:dataset:steak/1340977 is in BLACKLIST Exception in thread Thread-1: Traceback (most recent call last): File "D:\anaconda\lib\threading.py", line 914, in _bootstrap_inner self.run() File "D:\anaconda\lib\threading.py", line 862, in run self._target(*self._args, **self._kwargs) File "D:\anaconda\lib\site-packages\chainer\iterators\multiprocess_iterator.py", line 401, in fetch_batch batch_ret[0] = [self.dataset[idx] for idx in indices] File "D:\anaconda\lib\site-packages\chainer\iterators\multiprocess_iterator.py", line 401, in batch_ret[0] = [self.dataset[idx] for idx in indices] File "D:\anaconda\lib\site-packages\chainer\dataset\dataset_mixin.py", line 67, in getitem return self.get_example(index) File "D:\anaconda\lib\site-packages\chainer\datasets\sub_dataset.py", line 76, in get_example return self._dataset[index] File "D:\anaconda\lib\site-packages\chainer\dataset\dataset_mixin.py", line 67, in getitem return self.get_example(index) File "D:\project\chainer-food-101\dataset.py", line 96, in get_example image = preprocess(image, self.model_name) File "D:\project\chainer-food-101\dataset.py", line 40, in preprocess image /= 128. TypeError: ufunc 'true_divide' output (typecode 'd') could not be coerced to provided output parameter (typecode 'B') according to the casting rule ''same_kind''

Exception in main training loop: 'NoneType' object is not iterable Traceback (most recent call last): File "D:\anaconda\lib\site-packages\chainer\training\trainer.py", line 315, in run update() File "D:\anaconda\lib\site-packages\chainer\training\updaters\standard_updater.py", line 165, in update self.update_core() File "D:\anaconda\lib\site-packages\chainer\training\updaters\standard_updater.py", line 170, in update_core batch = iterator.next() File "D:\anaconda\lib\site-packages\chainer\iterators\multiprocess_iterator.py", line 148, in next self.dataset_timeout) File "D:\anaconda\lib\site-packages\chainer\iterators\multiprocess_iterator.py", line 417, in measure self.mem_size = max(map(_measure, batch)) Will finalize trainer extensions and updater before reraising the exception. Traceback (most recent call last): File "train.py", line 137, in main() File "train.py", line 133, in main train(args) File "train.py", line 106, in train trainer.run() File "D:\anaconda\lib\site-packages\chainer\training\trainer.py", line 329, in run six.reraise(*sys.exc_info()) File "D:\anaconda\lib\site-packages\six.py", line 693, in reraise raise value File "D:\anaconda\lib\site-packages\chainer\training\trainer.py", line 315, in run update() File "D:\anaconda\lib\site-packages\chainer\training\updaters\standard_updater.py", line 165, in update self.update_core() File "D:\anaconda\lib\site-packages\chainer\training\updaters\standard_updater.py", line 170, in update_core batch = iterator.next() File "D:\anaconda\lib\site-packages\chainer\iterators\multiprocess_iterator.py", line 148, in next self.dataset_timeout) File "D:\anaconda\lib\site-packages\chainer\iterators\multiprocess_iterator.py", line 417, in measure self.mem_size = max(map(_measure, batch)) TypeError: 'NoneType' object is not iterable

Is it cant run on my PC?

terasakisatoshi commented 5 years ago

The error msg you reported shows

https://github.com/terasakisatoshi/chainer-food-101/blob/master/dataset.py#L40

get error.

Could you replace the line as follow:

Before

        image /= 128.

After

     image = image/128.

I hope it will be all right

atom2k17 commented 5 years ago

Hi Y'all, I am facing a similar issue. https://github.com/atom2k17/Basketball-ChainerCV/blob/master/basketball.py TypeError: 'NoneType' object is not iterable I would like to know what is causing the training data to show as None even though the train_dataset format is correct, before being passed through Data Transformation process. Thanks.

terasakisatoshi commented 5 years ago

Sorry everyone, I could not have fixed these issue because of my long illness.

terasakisatoshi commented 5 years ago

Dear @namedysx and @atom2k17

I'm so sorry my delay response.

I've just created revised repository named chainer-food-101-revised this repository revise this repository. Since the current Chainer version is 6.2.0 I recommend try new one.