File "C:\Users\Administrator\Downloads\srcnn-master\srcnn-master\util.py", line 37, in load_data
img_array = img_array / (MAX_VAL * 1.0)
MemoryError: Unable to allocate 3.66 MiB for an array with shape (400, 400, 3) and data type float64

hello，i want ask how to run this project for new coder, or i need to what preparayions ？thanks！！，i cant run this program

File "C:\Users\Administrator\AppData\Local\Programs\Python\Python36\lib\site-packages\keras\engine\training_utils.py", line 135, in standardize_input_data
'with shape ' + str(data_shape))
ValueError: Error when checking target: expected conv2d_3 to have 4 dimensions, but got array with shape (0, 1)

from which satallite this aerial.jpg is captured ?

I've changed several tensionflow versions, cuda, cudnn, etc., but gpu settings keep getting errors. The reason why I don't think it's my gpu problem is that pytorch uses gpu well.

Please tell me how to use gpu in this project.
If anyone is training well with GPU, please let me know the required version information such as Tensorflow version, Cuda version, etc.

@WarrenGreen Could you please provide some details on how to run and test the mdoel with our own custom images. Also if possible, mention how to train it with our own data. what files to run in which order, since I saw some hard coded filenames in the predictModel.py file.

Looking forward.

hello，i want ask how to run this project for new coder, or i need to what preparayions ？thanks！！，i cant run this program

ValueError: With n_samples=0, test_size=0.2 and train_size=0.8, the resulting train set will be empty. Adjust any of the aforementioned parameters.

Can someone tell me how can I fix it? Thanks for everything .

File "srcnn.py", line 32, in train
callbacks=None,
File "C:\Users\Administrator\AppData\Local\Programs\Python\Python36\lib\site-packages\keras\engine\training.py", line 1239, in fit
validation_freq=validation_freq)
File "C:\Users\Administrator\AppData\Local\Programs\Python\Python36\lib\site-packages\keras\engine\training_arrays.py", line 141, in fit_loop
if issparse(fit_inputs[i]) and not K.is_sparse(feed[i]):
IndexError: list index out of range

@WarrenGreen please help to get more info on the file structre, it would be grate help if tou explain it and give some sample dataset to try out.