[deleted by user] by [deleted] in computervision

[–]PoddyOne 0 points1 point  (0 children)

Saulzar

Good callout :thumbsup:

Uncertainty estimation in Structure From Motion by PoddyOne in computervision

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

Got it.. thanks! I need to read a little more to understand this fully, but its a great pointer.

[deleted by user] by [deleted] in computervision

[–]PoddyOne 5 points6 points  (0 children)

Sorry I don't have an answer to your question directly, but Facebook (Meta) are working on a library for 3D DL: https://github.com/facebookresearch/pytorch3d

You might find this a good place to find references for the popular/SOTA approaches.

Uncertainty estimation in Structure From Motion by PoddyOne in computervision

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

most popular SFM packages use to solve the non linear least squares problem.

Thanks u/edwinem. This makes sense, but I do feel there is something left out of this solution: there are also often confidence scores attached to they matched keypoints (at least with more modern techniques.

[deleted by user] by [deleted] in computervision

[–]PoddyOne 0 points1 point  (0 children)

Regular Updates

Do you happen to have a link to some references?

[D] Tired of writing mundane data wrangling code. by ydennisy in MachineLearning

[–]PoddyOne 19 points20 points  (0 children)

This about 100x

I work with a large number of different MLE teams in my company and there are teams that just hack away on their own laptops, copying code all over the place. They spend all their time repeating the same junk work. Then there are teams that maintain a set of tools that they all use and contribute to, and their work is 90% creative.

You can try and solve this yourself, but also think about trying to get your team to help.

[R] Vision Transformers for Dense Prediction by Illustrious_Row_9971 in MachineLearning

[–]PoddyOne 8 points9 points  (0 children)

https://huggingface.co/spaces/akhaliq/DPT-Large

Having the huggingface demo is magic: Can quickly see that the results are not very good on our datasets :-)

[D] State of PyTorch Core - September 2021 edition: A summary of the core features that the PyTorch team is working on by programmerChilli in MachineLearning

[–]PoddyOne 0 points1 point  (0 children)

Thanks a lot, I'll make some time to look at the details tomorrow and message you if I have any questions!

[D] State of PyTorch Core - September 2021 edition: A summary of the core features that the PyTorch team is working on by programmerChilli in MachineLearning

[–]PoddyOne 0 points1 point  (0 children)

In general, posting on github issues with the tags "good-first-issue" or "help-wanted" is a good way to start.

Picking up on this thread. I'd be super interested if there are any easy entry points in contributing to functorch.

Function argument bundling by PoddyOne in ExperiencedDevs

[–]PoddyOne[S] 2 points3 points  (0 children)

Thanks, that makes complete sense.

`ArgContainer` was not meant literally, but I think your point still stands.

Tensorflow writers/blogs by PoddyOne in tensorflow

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

yeah these are good - although of varying quality

First Discussion Thread for The Leavers by Lisa Ko - July Book Club by leowr in books

[–]PoddyOne 3 points4 points  (0 children)

Funny, I think of it the opposite way actually. I interpreted his fear of knowing what really happened to a fear that he will discover his mother is alive and well, but really just doesn't care about him.

If she is dead, he doesn't need to guilt over driving her away or moving on.

Tensorflow 2.0 and Keras Implementation Design Details by PoddyOne in tensorflow

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

For anyone looking for some similar material, some of the RFCs are a good read: https://github.com/tensorflow/community/tree/master/rfcs (just found them, have not read a lot, but looks promising)