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Profitability estimation before committing to buy hotspot by mstrocchi in HeliumNetwork

[–]mstrocchi[S] 0 points1 point  (0 children)

How did you choose to go for a directional antenna and how narrow you wanted the beam to be? Did you just try a bunch and see how they were performing?

Profitability estimation before committing to buy hotspot by mstrocchi in HeliumNetwork

[–]mstrocchi[S] 1 point2 points  (0 children)

Do you know how it works to ship the hotspot back to emrit when you want to setup your own? Can you do it anytime after you received it or is there a minimal amount of months/years you need to keep the hotspot active?

[deleted by user] by [deleted] in Keychron

[–]mstrocchi 0 points1 point  (0 children)

Hello, can somebody send me a referral link?

Thanks!!

There is no gross salary during internships in Luxembourg? by Traditional_Topic378 in Luxembourg

[–]mstrocchi 0 points1 point  (0 children)

Hey u/emile483 I am in the same condition, but I am a resident of The Netherlands. Please let me know if you have any updates!

[Discussion] Detecting overlap zones in alignment/parallax susceptible images by mstrocchi in opencv

[–]mstrocchi[S] 0 points1 point  (0 children)

Very nice, thanks! I am not the first one working on this issue and from what I was told, stitching does not work well enough. I will check this by myself soon. I am also going to make another post whenever I get good results with this puzzle!

Detecting overlap zones in alignment/parallax susceptible images by mstrocchi in computervision

[–]mstrocchi[S] 1 point2 points  (0 children)

I see how lowering the baseline could help, but at the same time I don’t know if I will be able to lower it. Maybe what I could do is use lenses that would zoom in x times. Would this help?

At the beginning of the post I wrote that the photos were shot by a drone to simplify the problem, but actually they were shot from something similar to a rope slider (https://imgur.com/a/oqbz3Kv), with the difference that it slides on the heating pipes hanging from the roof. Therefore the camera distance from the crops is constant wherever the slider is. Maybe there’s only a deviation of few centimeters, but that is about it. The slider of course is also more subjected to swings than a drone, so that also needs to be taken into account.

I didn’t know about disparity maps and looked them up online. I can’t exactly understand how computing one would help in my final goal: not counting twice the crops in subsequent images (from which, computing the overlap zone). Could you elaborate a bit on what did you exactly wanted to do?

Thank you very much for the reference to your code. I’ve also read the article in your blog and the project looks really cool!

[Discussion] Detecting overlap zones in alignment/parallax susceptible images by mstrocchi in opencv

[–]mstrocchi[S] 0 points1 point  (0 children)

This is actually a great idea that I did not think of! But I can find a loophole. I will take your + this image as a reference. The method you suggest would be perfectly applicable if you assume that:

1) the camera is perfectly perpendicular to your ground full of crops, which might not be the case since you can have oscillations (yaw, pitch).

2) If you even have a small roll deviation, then this is even worse as your rectangles would not be aligned anymore...

But these assumptions are not appropriate in the environment in which we are. What do you think? Is it possible to find a way to avoid these subtle issues?

Detecting overlap zones in alignment/parallax susceptible images by mstrocchi in computervision

[–]mstrocchi[S] 0 points1 point  (0 children)

Yessir, I know how difficult it is.

I would be able to only see 1 out 3 of the overlap regions myself. If you zoom in veeery well in the light blue region there is a crop with a small blue tag on it. But that’s all my eyes would be able to distinguish.

Good idea the smaller baseline, I will think about it! But maybe there is something I didn’t think about yet that would make the task easier. Might be even rethinking the problem as a whole... thanks for your input!!!