Group Member – Casey, Eric
Github Repo – CartoonGAN-Application
Previous Report – Project Proposal
Methodology
Model Training
Web Application Interface
Experiments
Model Training
***Issues***
#1 CPU/GPU
During our training experiments, the first few attempts we made on training a model on Aku no Hana (Japan 2012) was surprisingly slow. The training speed was unreasonably low and we struggled a while to figure out why.
It turned out that we have been training our Aku no Hana model on the server’s CPU instead of GPU by accident. And as a result of the speed difference up to 50 times between CPU and GPU, our model were only trained over 40 batches in a day. After fixing this problem and switching to the server’s GPUs, the process went back to a normal speed, and we were able to see the training results within hours.
#2 Resource-specific data collection
As stated earlier, we collected our target cartoon dataset by making 256*256 screenshots every 5 seconds with ffmpeg. One of the problems with the dataset collected this way is that there existed a lot of unusable screenshots, that were either of a single color, or repeating the same content for multiple sequential screenshots. The reason for this issue is that the target anime work is
 
Web Application
User-Case Flow
