IndexError: index 1 is out of bounds for axis 0 with size 1 about east HOT 23 CLOSED

i am getting this error while running the train.py code...please tell me the way to clear this error

from east.

What data do you use for training? Is it that ICDAR dataset?

from east.

yes .I am using ICDAR2013+2015 data set.can you please tell me how to clear that error

from east.

Something seems to be wrong with the data_generator output.
What batch size do you use?

CustomTensorboard shows three samples every time, which means that the code as it is requires a batch size of at least 3, otherwise it will throw an error at that particular line where it failed for you.

from east.

the batch size i am using is 16

from east.

Could you print out the output of this line? https://github.com/kurapan/EAST/blob/master/train.py#L100
Maybe just the shape of data variable. Something like print(data.shape).
Tell me your keras and tf version too, just in case.

from east.

from east.

I am getting this error..and program did not ends

from east.

I can't see any information related to my code from this screenshot.
Please copypaste the entire message related to the error.
And as I said, print out the shape of data variable that is declared on line 100.
Have you made any changes to the code? I don't remember seeing this kind of output with the filenames.

from east.

(base) F:\New folder\EAST-master>python train.py
Using TensorFlow backend.
Traceback (most recent call last):
File "train.py", line 249, in
main()
File "train.py", line 213, in main
val_data = data_processor.load_data(FLAGS)
File "F:\New folder\EAST-master\data_processor.py", line 864, in load_data
loaded_data = pool.map_async(load_data_process, zip(image_files, itertools.repeat(FLAGS), itertools.repeat(is_train))).get(9999999)
File "C:\Users\VINOTH KUMAR S\Anaconda3\lib\multiprocessing\pool.py", line 651, in get
self.wait(timeout)
File "C:\Users\VINOTH KUMAR S\Anaconda3\lib\multiprocessing\pool.py", line 648, in wait
self._event.wait(timeout)
File "C:\Users\VINOTH KUMAR S\Anaconda3\lib\threading.py", line 552, in wait
signaled = self._cond.wait(timeout)
File "C:\Users\VINOTH KUMAR S\Anaconda3\lib\threading.py", line 300, in wait
gotit = waiter.acquire(True, timeout)
OverflowError: timeout value is too large

from east.

when I run the code without any changes(as it is)with my dataset directory, I am getting this error.please tell me the reason for this error

from east.

Ah, the timeout value overflow error is some Windows issue. I haven't tested it in Windows as I don't have access to any Windows machine that could be used for machine learning.
Try a number lower than that 9999999.

You were able to resolve this with some changes?

from east.

(base) F:\New folder\EAST-master>python train.py
Using TensorFlow backend.
Using TensorFlow backend.
Using TensorFlow backend.
Using TensorFlow backend.
Using TensorFlow backend.
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_201.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_207.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_204.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_210.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_202.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_208.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_205.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_211.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_203.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_209.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_206.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_212.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_213.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_219.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_202.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_216.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_203.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_214.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_220.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_217.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_204.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_201.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_215.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_205.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_218.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_208.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_211.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_206.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_214.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_209.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_212.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_207.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_215.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_210.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_213.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_217.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_216.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_220.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_218.txt does not exists
text file gt_F:\EAST\Dataset\MLT_val_data_latin\val_data_latin\img_219.txt does not exists
Number of validation images : 0
Training with 1 GPU
WARNING:tensorflow:From C:\Users\VINOTH KUMAR S\Anaconda3\lib\site-packages\tensorflow\python\framework\op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
Instructions for updating:
Colocations handled automatically by placer.
2019-02-26 11:35:33.744607: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
C:\Users\VINOTH KUMAR S\Anaconda3\lib\site-packages\keras_applications\resnet50.py:265: UserWarning: The output shape of ResNet50(include_top=False) has been changed since Keras 2.2.0.
warnings.warn('The output shape of ResNet50(include_top=False) '

from east.

when i reduced the number ..the program run..but it doesn't consider the image file..I run the train.py with only 20 validation images and 20 data set images. just for checking...will this be a problem.?

from east.

It says there are no validation images and that the txt files don't exist. Is the path correct?

from east.

yes,the path is correct

from east.

Are there really files img_XXX.txt in the val_data_latin directory?

from east.

yes sir,the img_xxx.jpg and gt_img_xxx.txt are in same directory

from east.

but the image.jpg files are read as image.txt files..

from east.

I see one problem now. Windows uses backslash instead of slash. Change it in the get_text_file function.
Use txt_file.split('\')[-1] instead of txt_file.split('/')[-1].

from east.

img_ (13).txt
    main()
  File "train.py", line 248, in main
    , callbacks=callbacks, verbose=1)
  File "C:\Users\VINOTH KUMAR S\Anaconda3\lib\site-packages\keras\legacy\interfaces.py", line 91, in wrapper
################################# F:\EAST\Dataset\ICDAR2013+2015\ICDAR2013+2015\train_data\img_ (20).jpg
F:\EAST\Dataset\ICDAR2013+2015\ICDAR2013+2015\train_data\img_ (20).txt
-----------
img_ (20).txt
    return func(*args, **kwargs)
  File "C:\Users\VINOTH KUMAR S\Anaconda3\lib\site-packages\keras\engine\training.py", line 1418, in fit_generator
    initial_epoch=initial_epoch)
  File "C:\Users\VINOTH KUMAR S\Anaconda3\lib\site-packages\keras\engine\training_generator.py", line 217, in fit_generator
    class_weight=class_weight)
  File "C:\Users\VINOTH KUMAR S\Anaconda3\lib\site-packages\keras\engine\training.py", line 1217, in train_on_batch
    outputs = self.train_function(ins)
  File "C:\Users\VINOTH KUMAR S\Anaconda3\lib\site-packages\keras\backend\tensorflow_backend.py", line 2715, in __call__
################################# F:\EAST\Dataset\ICDAR2013+2015\ICDAR2013+2015\train_data\img_ (17).jpg
F:\EAST\Dataset\ICDAR2013+2015\ICDAR2013+2015\train_data\img_ (17).txt
-----------
img_ (17).txt
################################# F:\EAST\Dataset\ICDAR2013+2015\ICDAR2013+2015\train_data\img_ (10).jpg
F:\EAST\Dataset\ICDAR2013+2015\ICDAR2013+2015\train_data\img_ (10).txt
-----------
img_ (10).txt
    return self._call(inputs)
  File "C:\Users\VINOTH KUMAR S\Anaconda3\lib\site-packages\keras\backend\tensorflow_backend.py", line 2675, in _call
    fetched = self._callable_fn(*array_vals)
  File "C:\Users\VINOTH KUMAR S\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 1439, in __call__
    run_metadata_ptr)
  File "C:\Users\VINOTH KUMAR S\Anaconda3\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 528, in __exit__
################################# F:\EAST\Dataset\ICDAR2013+2015\ICDAR2013+2015\train_data\img_ (14).jpg
F:\EAST\Dataset\ICDAR2013+2015\ICDAR2013+2015\train_data\img_ (14).txt
-----------
img_ (14).txt
    c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.InvalidArgumentError: Incompatible shapes: [16,64,64,1] vs. [16,128,128,1]
         [[{{node loss/pred_score_map_loss/mul_4}}]]

from east.

i am getting this error when the train.py program is executed

from east.

Could you tell me what changes you have made to the code?
I don't know how to reproduce your error so you have to tell me more.

from east.