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fast-neural-style-transfer's Issues

train.py

hello , thanks for your codes, can you tell me the checkpoint_model
parser.add_argument("--checkpoint_model", type=str, help="Optional path to checkpoint model")
thank you

the Video is SO BIG

i hava a video about 15 seconds, and after processing i got a nearly 1G gif. Is there anyone can tell me why it is so big ?

Time process

Can u give some detail of time process on 1 image?

tanh function in TransformerNet

I am confused why there isn't a tanh function in the output of TransformerNet network. Can you please tell me your approach in the conversion of the output images?

Training producing no result

Hi,
I am training your style transfer network with my own dataset and the style image as starry nights, just like yours. But even after training it for 6000 batches, I get black images as below:
6000
Please suggest why this is happening
My dataset has the following structure:
/RGB/data/001/image_0.jpg
/RGB/data/001/image_2.jpg
...
/RGB/data/001/image_100.jpg
...
/RGB/data/084/image_8800.jpg
/RGB/data/084/image_8801.jpg

Dataset for training

Could you tell which dataset I should ues? And what format the dataset should be ?After reading README.md,I cannot understand how to train the network clearly.Thanks!

The model generate nothing after retrained on coco2014

Hi, you are handsome and your work are awesome! Thank you for your work.
I got a problem when I try to train a smaller 'TransformerNet' model, all input images are resize to 256x256 while training.
The 'Content' and the 'Style' reports high loss value:
image
And while train the model after some epoches, the model will never generate a picture:
image
I'm looking forward to your guidance.

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