multimodal_transfer
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fullfanta
tensorflow implementation of 'Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer'
In the paper, training images of 512x512 are resized from those w,h>=480 in MSCOCO, but how to get 1024x1024 since there is no that high resolution in MSCOCO?
Hi wanted to try this algorithm to see results on large images. Running into the following exception when loading the graph: ValueError: Tensor("Placeholder:0", shape=(1, 1200, 630, 3), dtype=float32) must be...
I was training the model and saved it, now I am trying to load but unable to do. I have seen in the previous posts as well, but reference links...
``` Traceback (most recent call last): File "stylize.py", line 86, in main() File "stylize.py", line 54, in main producer_op_list=None File "C:\Users\shubham\myenv\lib\site-packages\tensorflow_core\python\util\deprecation.py", line 507, in new_func return func(*args, **kwargs) File "C:\Users\shubham\myenv\lib\site-packages\tensorflow_core\python\framework\importer.py",...
Hi, I try to run your code, found there will be 3 images output (256,512,1024), are they Singular Transfer result, how can I get Multimodal Transfer result as your paper...
Hi, thx for your great code! However, when I run train.py, I've got `Check failed: CUDA_SUCCESS == dynload::cuCtxSetCurrent(cuda_context->context()) (0 vs. 4)` Could you help me?
