search

Ning-Ding / Implementation-CVPR2015-CNN-for-ReID

Implementation for CVPR 2015 Paper: "An Improved Deep Learning Architecture for Person Re-Identification".
MIT License
147 stars 71 forks source link

ValueError: output of generator should be a tuple `(x, y, sample_weight)` or `(x, y)`. Found: None #35

Open wanfb opened 6 years ago

wanfb commented 6 years ago

Does anybody come across this error? It seems to be something wrong with Keras itself and I have not find an executable way to solve it yet. Appreciate for your kind help. The details are as follows.

C:\ProgramData\Anaconda3\lib\site-packages\keras\legacy\interfaces.py:86: UserWarning: Update your fit_generator call to the Keras 2 API: fit_generator(<data_prep..., 30000, 1, validation_data=<data_prep..., validation_steps=1000) '` call to the Keras 2 API: ' + signature) Epoch 1/1 Exception in thread Thread-1: Traceback (most recent call last): File "C:\ProgramData\Anaconda3\lib\threading.py", line 916, in _bootstrap_inner self.run() File "C:\ProgramData\Anaconda3\lib\threading.py", line 864, in run self._target(*self._args, *self._kwargs) File "C:\ProgramData\Anaconda3\lib\site-packages\keras\engine\training.py", line 606, in data_generator_task generator_output = next(self._generator) File "C:\ProgramData\Anaconda3\lib\site-packages\keras\preprocessing\image.py", line 727, in next return self.next(args, **kwargs) File "F:\Users\wanfb\Documents\Implementation-CVPR2015-CNN-for-ReID-master\CUHK03\data_preparation.py", line 34, in next index_array, current_index, current_batch_size = next(self.index_generator) File "C:\ProgramData\Anaconda3\lib\site-packages\keras\preprocessing\image.py", line 718, in _flow_index yield (index_array[current_index: current_index + current_batch_size], TypeError: slice indices must be integers or None or have an index method

Traceback (most recent call last): File "main.py", line 100, in main(args.dataset_path) File "main.py", line 20, in main train(model, dataset_path) File "main.py", line 43, in train model.fit_generator(Data_Generator.flow(f,flag = flag_train),one_epoch,epoch_num,validation_data=Data_Generator.flow(f,train_or_validation=which_val_data,flag=flag_val),nb_val_samples=nb_val_samples) File "C:\ProgramData\Anaconda3\lib\site-packages\keras\legacy\interfaces.py", line 87, in wrapper return func(*args, **kwargs) File "C:\ProgramData\Anaconda3\lib\site-packages\keras\engine\training.py", line 1851, in fit_generator str(generator_output)) ValueError: output of generator should be a tuple (x, y, sample_weight) or (x, y). Found: None

mayanks888 commented 6 years ago

@prashanthbasani where you able to solve this error ?

coderinmaking commented 6 years ago

I am too getting the same error

wanfb commented 6 years ago

https://github.com/Cysu/open-reid I think this is a better code for new learners of person reid.