i got no such options

[GitGhidorah]

python test.py --input_low_res='./data_lr/' --output_dir='./output/' --number_of_images=1 --test_type='test_lr_images'

Then,i got message 'no such options'

Sorry,Idont know why.

[GitGhidorah]

Exactly saying,
'No such option'

[mrciolino]

if values.test_type == 'test_model':
    test_model(values.input_hig_res, model, values.number_of_images, values.output_dir)
    
elif values.test_type == 'test_lr_images':
    test_model_for_lr_images(values.input_low_res, model, values.number_of_images, values.output_dir)
    
else:
    print("No such option")

That's weird, --test_type='test_lr_images' is the string that it is checking for. have you edited something?

[dangmanhtruong1995]

Hi, it should be: test_type=test_lr_images, you have to remove the parentheses. By the way after this I got another error:
Traceback (most recent call last):
File "test.py", line 68, in
test_model_for_lr_images(values.input_low_res, model, values.number_of_images, values.output_dir)
File "test.py", line 35, in test_model_for_lr_images
Utils.plot_test_generated_images(output_dir, model, x_test_lr)
File "E:\Hoctap\Machine_learning\Oil_and_gas\Image_classification_for_valve\Keras-SRGAN-master\Utils.py", line 221, in plot_test_generated_images
gen_img = generator.predict(image_batch_lr)
File "C:\Users\Win10\Anaconda3\lib\site-packages\keras\engine\training.py", line 1149, in predict
x, _, _ = self._standardize_user_data(x)
File "C:\Users\Win10\Anaconda3\lib\site-packages\keras\engine\training.py", line 751, in _standardize_user_data
exception_prefix='input')
File "C:\Users\Win10\Anaconda3\lib\site-packages\keras\engine\training_utils.py", line 138, in standardize_input_data
str(data_shape))
ValueError: Error when checking input: expected input_1 to have shape (96, 96, 3) but got array with shape (40, 40, 3)

[mrciolino]

does #12 solve that problem? - i had a problem with the LR test images trying to be downscaled.

[dangmanhtruong1995]

Hi. No it does not :( 2019-09-11 15:06 GMT+01:00, mrciolino <notifications@github.com>:

…

does #12 solve that problem? - i had a problem with the LR test images trying to be downscaled. -- You are receiving this because you commented. Reply to this email directly or view it on GitHub: #20 (comment)

[mrciolino]

Could you give some more info on the resolution of images you are working with? For example, I trained a few GANs on 320x320 with 4x downsampling to 80x80.

I've found it easier and better to learn by using your own images. Image Magick was a strong command-line tool I used to resize, crop, or tile images.
https://imagemagick.org/script/command-line-processing.php