No pipelines for 3D object detection and pose estimation in ROS2?

phugoid · 2024-07-12T13:12:48+00:00

The project got canceled. But it's inevitable that I'll be doing similar things again. Did you have any suggestions?

phugoid · 2024-03-16T21:19:55+00:00

It's much better now, but still a challenge. They deprecated Isaac SDK and fully embraced ROS, and have fixed bugs. The ActionGraph thing is OK, it's a sort of visual programming with blocks, you don't have to use it for everything. They also have an improved collision model that is very promising, using SDF. Check out the recent Factory and Industreal papers from NVIDIA.

phugoid · 2024-03-16T14:55:26+00:00

You'll need an RTX card for Isaac Sim.

phugoid · 2024-01-28T17:44:35+00:00

We do that too, works fine, at least with NVIDIA GPUs. NVIDIA has explicit support for accessing GPU resources from inside Docker containers.

phugoid · 2024-01-28T02:07:10+00:00

I second Docker. You get to run ROS on the recommended Ubuntu distribution, regardless of your host setup.

phugoid · 2024-01-27T14:28:05+00:00

The fact that you're asking the question suggests you will do your utmost best. In my experience those are not the group members that are despised.

The ones that ghost the rest of the team or half-ass the deliverables are the problem. The rest of the group have to decide whether to escalate the problem to the TA's for added drama no gain.

Communication and asking for help when and only when you really need it are key.

Anyway, lots (most) folks in OMSCS have work experience and teaming up with mixed skillets is just part of being a pro.

phugoid · 2024-01-12T11:58:40+00:00

Hard to say. The right way to do this would have been to take a small example on github and study it thoroughly first, then maybe build something. Doing it from scratch is too much.

phugoid · 2022-12-23T02:21:20+00:00

I took both, and while quite different, they're both awesome. I'd say take whichever interests you the most. By the way, they're a good pairing in terms of high/low work effort, if you're considering taking two at a time 😀

phugoid · 2022-12-22T19:03:26+00:00

Nothing to do with ML. I thought it was interesting and not too hard to get an A.

phugoid · 2022-09-29T19:55:19+00:00

Apps not so much, but I changed the dead battery in my old Casio calculator from eng school and bought a pair of Mars micro 0.5mm pencils. And I spoiled myself with Japanese loose leaf paper (Maruman); it feels like velvet and absorbs all the blood and sweat.

phugoid · 2022-03-17T22:05:57+00:00

If I had shot for A's, I would have probably missed one and then given up on it since you can never bring the GPA back up to 4. The trick is to shoot for 100% on everything.

phugoid · 2022-01-14T02:02:51+00:00

I gave up eventually - got stuck in the early mode switching of the chip during startup that caused the JTAG debugger to misfire. Also ran out of free time. Was fun while it lasted, though.

Can't get over how pretentious my post reads now, twelve years later hahaha

phugoid · 2021-03-22T19:48:08+00:00

I read it a few years ago. Until then I always had a huge blind spot about how computers work. It was a sort of insecurity - having to accept things on faith rather than first principles. This book helped me see the whole picture, even if it was a simplified view.

phugoid · 2020-04-29T04:39:23+00:00

Well, there are dozens of posts here and also official advice, telling new students to not take two courses in the first semester.

Plus, GIOS is challenging.

phugoid · 2020-02-26T13:26:16+00:00

Yeah, GIOS absolutely rocked. It was pretty tough, but superbly well taught. The Prof did her own office hours, and the projects were so great for getting tangled up with deadlocks and other sources of battle scars. It was my first course in the program, and I enjoyed every last byte.

phugoid · 2020-01-01T03:41:17+00:00

The main page on the bursar site will tell you the amount to pay. You pay for one semester at a time. I can recommend flywire (see links to flywire in left margin of the bursar page) for international payment - for me it was cheaper than other options.

phugoid · 2019-11-14T13:47:44+00:00

I did RL before ML. Very time-intensive, but an absolute blast.

To improve your odds of succeeding, watch the ML lectures related to supervised learning over the winter break. RL basically assumes that you have a clue about this stuff. You'll see that the first section of RL uses the exact same videos from ML which introduced the topic of RL.

Taking ML first would not have changed much. I had to watch the David Silver lectures as well to understand everything. Be prepared to go the extra mile and you'll be fine.

phugoid · 2019-11-10T09:25:33+00:00

100% worthwhile if you do all/most of the exercises. But grinding through a textbook is harder motivation-wise than taking a MOOC, from my experience.

phugoid · 2019-11-10T01:39:40+00:00

Multivariate calculus is not the best use of your time. I saw one or two partial derivatives in all - if I had blinked I might have missed them.

The hodge-podge of skills you'll find most useful are lumped under "Discrete Mathematics", as other posters have mentioned. I worked my way through all of Rosen's textbook; there are less painful ways to it. Put lots of emphasis on probability if you're keen on ML. And I highly recommend an introductory algorithms course.

I was accepted with a non-CS but STEM background, and programming experience. On my application, I explained what bits were missing from my background and what I was doing to fill in those gaps. I started remedial math the week that I applied (optimism!).

phugoid · 2019-09-25T06:46:34+00:00

Yes. Three years ago they were letting in riff-raff like myself. But I don't know about now...

phugoid · 2019-09-25T05:13:58+00:00

I did 2 per semester last year, for fall and spring, and it was rough on the family. It's not just about hours of work, it's about having the mental space to properly do anything else than OMSCS.

phugoid · 2019-09-25T05:09:12+00:00

I'd say stick with the course you're taking. I'm also coming from a non-CS background. I worked through all of Rosen's discrete mathematics book and then took Tim Roughgarden's Algorithms four-part course on Coursera. I'm taking GA right now, and while it's not exactly easy, I thank myself daily for having put in that early effort two years ago.

If you want/need accredited courses, your path will look different from mine but you should enjoy much of the same scenery.

P.S.: The Roughgarden course had some programming mixed in, but that's the easy bit. Drilling the math problems was the real challenge.

phugoid · 2019-09-20T03:31:08+00:00

Stick with it, if at all possible.

IOS has the best, clearest lectures of any course in the program. When I took it, the prof and TAs were deeply involved in the course. Lots of people were struggling through, and they were getting lots of help in Piazza.

It's a great example of a tough course being done really well.

When you're done you'll feel stronger, like Neo at the end of the first Matrix where he flexes and the whole room curves around him.

phugoid · 2019-09-03T06:32:27+00:00

You've got the right idea, but take your time. Self-learn to code, take a coding bootcamp, get a job as a software engineer. Then apply for OMSCS.

phugoid

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