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You're actually reading the issue now...
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When working in a regime of low particle numbers along a spaxel, it would be useful to be able to reconstruct the distribution along the line of sight. This feature would require an assumption from th…
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As the conversion happens in `WeightedNNBasedLinesetMatching()`, this means that the objects are converted for every comparison, not just once at the start, making everything much slower than it needs…
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Hi @searchivarius ,
I have a dataset with 1 mn * 2000 dimension - all numeric fields. At the index time, I am using following params
```
M=20
efC=3000
num_threads=12
```
and at the time of …
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I guess other OMP implementations could use this setting as well, since most of those also require some search for neighbors, which can vary a lot and hence vary the computation between …
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I'm not sure whether I used the point-transformer correctly: I just implemented one block for training, and the data shape of (x, pos) in each gpu are both [16, 2048, 3], later I was informed that my …
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[nantest.zip](https://github.com/gfacciol/bm3d/files/9533947/nantest.zip)
I've found some images (typically mono images with mostly low pixel values and high dynamic range, such as unstretched astr…
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Transferred from http://code.opencv.org/issues/3172
```
|| Robert Aschenbrenner on 2013-07-24 17:49
|| Priority: Normal
|| Affected: 2.4.9 (latest release)
|| Category: features2d
|| Tracker: Bug
|| …
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## 🚀 Feature and Motivation
Outlier removal is very important for practical usage，libraries like open3d/pcl have CPU support of outlier removal (e.g., http://www.open3d.org/docs/latest/tutorial/Adv…
hiyyg updated
2 years ago
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Hi! Any source on the running ml models example? I’ve been trying to get that to work, always unsuccessfully, for the last couple days. Seems like the lack of ML python libraries are a big blocker.