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## 🚀 Feature
(Approximate) Earth Mover's Distance Loss Function
## Motivation
This is a common function used in deep learning papers for point cloud generation and distribution matching.
## Pi…
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This would require a certain world generated percentage before resetting, thus providing a more realistic benchmark as no one resets previews within 1 frame
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Why this is hard:
"Geometry" in RayTK is defined using SDFs which are mathematical functions that find the distance to the closest part of shape from any point in space.
Regular SOP geometry is define…
t3kt updated
7 months ago
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### Describe the feature and motivation
Image processing (imgproc) is one of OpenCV flagship modules, actively used by many people, even in deep-learning era. Most of the stuff it contains is quite…
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Combine localization with estimating the position of a moving object, as well as decision making.
Have QR code landmarks serve as "bases". Have a large object or ball with QR code serve as "game ba…
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Hey @igul222, thanks again for your help with comments earlier.
I've been rereading both WGAN papers, and I understand that the critic loss is supposed to estimate the wasserstein distance. Below …
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What is the principle of face comparison? Is the feature space distance?
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Hi everyone!
For anyone trying to implement this paper or use this repo, here’s a heads-up: we reached out to the authors with some questions because there are quite a few ambiguities and missing d…
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- use sound effects; distance relates to frequency
- add checkbox for synthesized sound
- show words that it hears under toggle
- differentiate draggable area with a box or horizontal rule
- show …
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[sub-matttest_4.xlsx](https://github.com/HBClab/SnapMaze/files/1849154/sub-matttest_4.xlsx)
Data seems to be miscalculating for subtrial distances when not full length and for velocity of short tri…