A Tensorflow implementation of AnimeGAN for fast photo animation ! This is the Open source of the paper 「AnimeGAN: a novel lightweight GAN for photo animation」, which uses the GAN framwork to transform real-world photos into anime images.
I try move to iphone. I test it. ram very high.The system crashed.
I just used the verification part, but looking at the structure it seems to call the original training program. This may be the reason for his large memory requirements?
I tried trimming the model to make it smaller, but I failed. Do you have a plan to reduce memory(low)?
example:
self.test_generated = self.generator(self.test_real, reuse=False)
Of course I failed, the system reported an error
In addition, I have run other gan projects, the memory requirements are not so large, why is this project so high memory requirements? Even outside of training, test part of application part
I try move to iphone. I test it. ram very high.The system crashed.
I just used the verification part, but looking at the structure it seems to call the original training program. This may be the reason for his large memory requirements?
I tried trimming the model to make it smaller, but I failed. Do you have a plan to reduce memory(low)? example: self.test_generated = self.generator(self.test_real, reuse=False) Of course I failed, the system reported an error
In addition, I have run other gan projects, the memory requirements are not so large, why is this project so high memory requirements? Even outside of training, test part of application part