Comments (4)
from uvm-net.
HI,how to test with my custom blurry image?
from uvm-net.
We provide the training code, first this model should be trained on your customized dataset and then tested.
from uvm-net.
There is no need to reduce the number of layers in the UNet, my basic module has three SSMs, you can remove the one that is the most computationally intensive (after reshaping); besides, you can conduct a ReLU or Sigmoid on the output of the UNet and do a residual or multiplication operation with the original input image.
output = nn.ReLU()(UNet(x))
output = output * x - output + 1 // AODNet equation
return output
from uvm-net.
Related Issues (12)
- CUDA out of memory HOT 13
- running environment?
- How long does it take to train ? HOT 5
- How do you calculate your params? HOT 2
- Issue with reshaping HOT 1
- Modeling Improvements.
- CUDA error: no kernel image is available for execution on the device HOT 1
- 关于测试尺寸 HOT 5
- 找不到 SAFMN HOT 2
- TypeError: `model` must be a `LightningModule`, got `UNet` HOT 4
- Missing Dataset Structure and Execution Commands in README.md
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from uvm-net.