mrciolino

+1 - I've had quite a few problems getting things to run but pip installing from the repo helps a lot. `pip install -q git+git://github.com/minimaxir/textgenrnn.git `

Same, problem, any update? [W 10:05:34.972 LabApp] 403 POST /save (::1): '_xsrf' argument missing from POST [W 10:05:34.973 LabApp] 403 POST /save (::1) 2.00ms referer=http://localhost:8888/lab

I have had good success with ... Maybe try in a new conda enviroment. conda install keras conda install tqdm conda install pillow conda install scikit-image conda install scipy==1.1.0 scipy...

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...

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

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...

Hi: Trained on 500 images on 320x320 with 4x downsample png files Using the test.py with the low res input (80x80) I'm getting an entirely white image. `python test.py --input_low_res=../../CompareGANs/shipsnet/Raw/ship/...

I changed the lr_images (in Utils.py) scale form 4 to 1 since the input wants 80x80 for low res instead of downsampling my already low res 80x80 images to 20x20...

FIxed: On line ~221 the LR images were being "denormalized" when they didn't need to be. > image_batch_lr = denormalize(x_test_lr) to > image_batch_lr = x_test_lr Output is now: 

@KoteshwarSurga I know this is an old thread but did that fix ur problem?