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Hi. As is the instructions for frechet_audio_distance give errors:
```
(fad) [jon@jon-thinkpad google-research]$ python -m frechet_audio_distance.create_embeddings_main --input_files test_audio/te…
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I have an (yet untested) implementation of discrete Fréchet distance between curves that I would be happy to share. Is this package a good fit for such kind of distances ? I'm wondering as for what I …
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Hello. Thanks for sharing remarkable work.
I want to use the "frechet_video_distance.py" for my research.
But I can't find how to give my video as input.
May I get some help for it?
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Inception Distance to compare the generated data distribution to the real data distribution.
Take from [here](https://github.com/tmarkmann/mnist-gan/blob/main/mnist_gan.ipynb)
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Hi. is there any module in tslearn for calculating Fréchet distance? I found multi dimensional DTW in tslearn very helpful since it is so much faster than other available implementations. I want to c…
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**The Issue**
As of release version 0.3.1, the numpy requirement was
`numpy==1.23.4`
This requirement is too strict, and creates numpy dependency conflicts with other libraries.
**Suggested Solu…
OoiHS updated
2 weeks ago
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FID (need inception model)
- [Fréchet distance](https://en.wikipedia.org/wiki/Fr%C3%A9chet_distance#As_a_distance_between_probability_distributions_(the_FID_score)) and [Inception score](https://en.w…
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## Issue Details
The upcoming Frechet distance package works in any dimension. [Here ](https://github.com/anusser/cgal/blob/a4687d4d3894e6058dbbbf809910ba7a2f71a698/Polyline_distance/include/CGAL…
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relate to similarities?
https://en.wikipedia.org/wiki/Metric_(mathematics)#Definition
* non-negative
* identity of indiscernibles
* symmetry
* triangle inequality
Frechet distance:
* h…
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- [ ] quantify explored 'area' (distance) - frequency of visit to bins
- [ ] quantify variability in different trial epochs
- [ ] quantify tortuosity: path length/distance
- [ ] quantify displacement …