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We now have the bindings for quality estimation being exposed by the wasm module to the javascript frontend like mentioned here: https://github.com/browsermt/bergamot-translator/pull/239, but there's …
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I use your code with realsense in Eye on Base calibration
During my experiment, if I took around 15 images, the results looks good but not exactly correct.
So, I take around 25, 30 and 40 samples, t…
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https://aclanthology.org/2020.eval4nlp-1.2/
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Hello everyone,
We are working on a project for 3D reconstruction at scale, our camera occupies positions in a circular trajectory, moving at each picture by a delta angle.
As you can see from the…
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Takes 6 measurements across 12 possible teeth:
UNS: 8, 7, 4, 9, 10, 13, 23, 22, 21, 26, 27, 28
FDI: 11, 12, 15, 21, 22, 25, 32, 33, 34, 42, 43, 44
To each tooth above add the following 6 m…
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@lhk writes in https://github.com/marian-nmt/marian/issues/343 and I've transferred it here.
> Feature description
>
> I would like to embed machine translation in my webapp. There is tensorfl…
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Hello, I'm not sure if I'm posting in the right place.
I have read the article "Multi-level Translation Quality prediction with QuEst++" by Lucia Specia et al.
There authors claim that they achieve 0…
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Hi, I'm running your examples of GoPro camera & imu calibration but I failed with following mistake. Looks like ` std::vector cams_dt_s` or `timestamps_images` is empty?
```
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**🚀 Feature**
**Motivation**
Intensity of RandomMotion transform seems to mostly depend on the "time" of the motion. And while RandomGhosting transform exposes `intensity` parameter, RandomMot…
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I'm specifically curious if re-processing datasets will be faster.
Are there Word Types that are/aren't CUDA accelerated?