ValueError: setting an array element with a sequence.

[thakersamveg608]

I have used your model for running Test.py and the COCO Test Dataset for images. I have chosen 25 images.
The error I am getting is :

[phoenicorn]

@thakersamveg608
remove ".astype(np.float32)".The error will be fixed

[sandhya9173]

hi
i m getting error (Error when checking input: expected input_6 to have 4 dimentions, but got array with shape(4,1))

[sirius0503]

@thakersamveg608
remove ".astype(np.float32)".The error will be fixed

When I do this I get another error:

Traceback (most recent call last):
  File "test.py", line 67, in <module>
    test_model_for_lr_images(values.input_low_res, model, values.number_of_images, values.output_dir)
  File "test.py", line 34, in test_model_for_lr_images
    Utils.plot_test_generated_images(output_dir, model, x_test_lr)
  File "/home/aspiring1/.Private/Keras-SRGAN/Utils.py", line 220, in plot_test_generated_images
    image_batch_lr = denormalize(x_test_lr)
  File "/home/aspiring1/.Private/Keras-SRGAN/Utils.py", line 54, in denormalize
    return input_data.astype(np.uint8)
ValueError: setting an array element with a sequence.

And when I remove .astype(np.uint8) I get another error:

Traceback (most recent call last):
  File "test.py", line 67, in <module>
    test_model_for_lr_images(values.input_low_res, model, values.number_of_images, values.output_dir)
  File "test.py", line 34, in test_model_for_lr_images
    Utils.plot_test_generated_images(output_dir, model, x_test_lr)
  File "/home/aspiring1/.Private/Keras-SRGAN/Utils.py", line 221, in plot_test_generated_images
    gen_img = generator.predict(image_batch_lr)
  File "/home/aspiring1/.virtualenvs/srgan/lib/python3.5/site-packages/keras/engine/training.py", line 1149, in predict
    x, _, _ = self._standardize_user_data(x)
  File "/home/aspiring1/.virtualenvs/srgan/lib/python3.5/site-packages/keras/engine/training.py", line 751, in _standardize_user_data
    exception_prefix='input')
  File "/home/aspiring1/.virtualenvs/srgan/lib/python3.5/site-packages/keras/engine/training_utils.py", line 128, in standardize_input_data
    'with shape ' + str(data_shape))
ValueError: Error when checking input: expected input_1 to have 4 dimensions, but got array with shape (4, 1)

@deepak112 Can you please have a look at this error, thanks I am just trying to use your model gen_model3000.h5 to evaluate some of my images.

Python command used:

python test.py --input_low_res='./inputdir/' --output_dir='./out' --model_dir='./model/gen_model3000.h5' --number_of_images=4 --test_type='test_lr_images' 

[BassantTolba1234]

Please all,
I need the code of implementation this part
the part is

{The SRResNet networks
were trained with a learning rate of 10−4 and 106 update
iterations. We employed the trained MSE-based SRResNet
network as initialization for the generator when training
the actual GAN to avoid undesired local optima.{