Comments (5)
Hey,
I'd love to help you figure this out, but I'll need more detail to figure out what's up. Can you send me the parameters you're testing with?
from iseebetter.
Thanks! I didn't train my own model using APIT loss option yet - simply used yours that is in weights/netG_epoch_4_1_APITLoss.pth
. Just wondering if that's what you get when testing with that model.
from iseebetter.
Overall, your output looks reasonable to me. The pattern might also be an artifact of your test workload, but I think it looks in-line with the results I remember seeing when I was experimenting with iSeeBetter.
from iseebetter.
Cool, I'll do some more training experiments and see what I can figure out. Trying to do super-resolution combined with compression artifact reduction and I'm already getting good results from training my own model.
from iseebetter.
Good to hear! I'm open to collaborate so if you're interested in exploring that/something together, I'm down!
from iseebetter.
Related Issues (20)
- problem of training result
- Is it possible to use multiple GPUs to run tests?
- Trying to upscale from HD to 4K CUDA out of memory even with 48GB VRAM, CPU mode doesn't work
- OpenCV dependency missing
- Trouble with installation: requirements.txt complains and pyfow fails HOT 1
- Exception in thread Thread-1: ValueError: signal number 32 out of range HOT 2
- About fine tuning discriminator
- CUDA out of memory HOT 2
- Problem when testing
- I CAN'T RUN THE TEST WITH THE --upscale_factor
- Issue in Reproducing the same result as mentioned in paper HOT 3
- Errror loading pretrained model HOT 5
- Results in MSU Video Super Resolution Benchmark
- Did someone get it to work with pytorch >=v1.8.0?
- why does batch have batch[0]、batch[1].......
- 如何输入视频进行测试?
- RuntimeError: An attempt has been made to start a new process before the current process has finished its bootstrapping phase.
- How to run on custom video.
- pretrained model
- Colab Notebook
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from iseebetter.