l0stpenguin

@galaktyk I tried loading the efficientnet-lite models using keras but it throws an error. ```python from keras.models import load_model load_model('L0.h5') ``` ``` Using TensorFlow backend. Traceback (most recent call last):...

@galaktyk Thanks, i can now load the model. I tried reshaping the input using the snippet you provided but i get this error: `AttributeError: 'InputLayer' object has no attribute '_batch_input_shape'`...

@galaktyk Do you also have the other pretrained lite models for keras (L1,L2,L3)? In the google drive, i can find only L0 for keras but for the tensorflow-keras there are...

@gaseosaluz i have tried with RAW images from my iphone X and changed the black level but got terrible results. Here are the details: https://github.com/cchen156/Learning-to-See-in-the-Dark/issues/75#issuecomment-508178237 Do you have any idea...

@gaseosaluz here is a link to the dng sample: https://drive.google.com/drive/folders/1toiGYKQ1WeCiqbXB4rH24-wsH3VvfBT3?usp=sharing In my tests, i have calculated the black level rather than hardcoding it: ```python im = raw.raw_image_visible.astype(np.float32) black_level = raw.black_level_per_channel[0]...

@gaseosaluz That picture was taken handheld, so it might have some camera shake. Let's assume it is a faulty picture. But i have tried with another one where i place...

@gaseosaluz it would be really useful if you could provide the coreml model. I am an ios developer and i would like to try to run it on mobile. Probably...

@gaseosaluz I had tried with some RAW images from iphone X too but not all results were good. Can you elaborate on the parts you modified?

@noamgot Thanks for the reply, i had the same thing as you did except i used a hardcoded black level. Changing to the way you showed did not help. Here...

@ghost0710 Did you manage to improve the result? I am getting similar results using raw iphone photos.