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denoising

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ray-tracing-renderer
ToJans
ToJans commented Apr 20, 2020

Context

This engine is intended to be used as a drop-in replacement to Three.js’s WebGLRenderer.

Problem

It tends not to work as a drop-in replacement out-of-the-box, because the renderer crashes when:

  • Meshes contain a THREE.Geometry instead of a THREE.BufferGeometry.
  • It uses materials for which the texture images are not loaded yet.

This might cause people who try to repl

DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

  • Updated Mar 30, 2022
  • Python
kimberly990
kimberly990 commented Oct 1, 2021

The ability to change which augmentation preset is being used at different points in training would be great. For example, at 10k iterations, resrgan_blur could be used, but at 30k it's automatically switched to bsrgan_blur.

This was discussed in the #trainner channel on the GU Discord server

Edit: A possible expansion on this idea, augmentation preset strengths. I'm not sure how it'd functi

enhancement good first issue
girodat
girodat commented Oct 16, 2020

Dear Topaz Experts,

I have tried downloading Topaz and running the tutorial. However, when I reach to first training step I see the warning:
UserWarning: The given NumPy array is not writeable, and PyTorch does not support non-writeable tensors. This means you can write to the underlying (supposedly non-writeable) NumPy array using the tensor. You may want to copy the array to protect its data

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