Few years ago I did an educational project to extract waveforms from logic capture - it was doable [1]. But this approach may have limits on newer faster FPGA based controllers.
For one it can adequately show if your WiFi is performing well...
In a home network setting I've got a UDP display sink (64x64px, RGB) with a custom protocol. It works fine-- no hard number as the performance varies based on other factors, including congestion. I've been able to push it to >90fps, but around 42fps there is virtually no flicker.
For context in my protocol I use all 512bytes, with 3 first being the "line number and such" data and the rest containing ~128 pixels.
I have it, not only the code but labelled dataset I created with an arduino, first, and then iPhone. It’s been a private repository forever, but thanks! I’ll make it public and Edit post the link down here.
Not really that easy with just IMU sensors, I’d assume ?
I did one project in school (albeit a simple SVM based model) to classify walking vs running (and so on) and ambiguity was still there. Stationary vs. Walking was easy to draw a hyper plane in between, not Running.
I still find it a difficult problem to get into, after 5 years. Perhaps ANN models might work better? Although my heart is still at Hidden MM states...
Interesting. I have a hunch that this all is an attempt to game Google Summer of Code to win sponsorship. I think the sponsors look for open source contributions, and they created all the copies, organisations etc. to make it seem like significant profile. It’s crazy that people would go to such lengths. Like you said, it’s very odd, and sloppy.
Pretty sure it’s the same person from what I could find out from archive.org snapshots. I followed this trail:
- From the tweet you linked, it’s clear that they owned yoginth.ml
- Archive of the homepage links to a gitlab profile [1] which uses the same profile picture and style of writing as their current gitlab profile.
- The page linked to yoginth.ml, and subsequent snapshots of page show it changed to yoginth.com (the current domain).
Additionally, I noticed that they mentioned that they work at “DocsPen”. Quick google linked to a repository with years of history (evident from the migrations page), but everything committed in 2017. Looked up, and it’s essentially another unattributed copy of BookStackApp with licenses changed and s/BookStack/DocsPen.
Unfortunately, it seems its a case of naive plagiarism and not knowing what counts as fraud. I say this because there’s enough information to get their entire identity (I’m not gonna post a link to that) and it’s clearly a school kid who’s misguided enough. If OP reads this, I’d suggest them to reflect upon their actions, (or cover their tracks more carefully). Sooner or later, if authorities get involved it won’t be difficult for them (I just did archive.org search on my phone). I feel a bit more aware of this because I studied at Delhi University and I knew a few people who did/do similar things to get enough attention and build a resume.
[1]: https://github.com/prashnts/betty-epd/blob/master/notebooks/...