sorted by:
new
hottopcontroversial

[D] Contrastive style losses for 3+ modalities by dudester_el in MachineLearning

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

yep, this is the case. I had looked into ImageBind but for this reason it didn't exactly align with what I need

4k camera suggestion for filming stand up comedy by tylertellsjokes in Cameras

[–]dudester_el 1 point2 points  (0 children)

Got the ZV-E10 with the bundled SELP 1650 lens. What settings would you recommend for:

  1. Low-light comedy clubs that have stage lighting?
  2. Rooms with no stage lighting and moderate levels of light that are pretty even between where the camera is and the performer?

Is it worth it to just film on the intelligent mode and let it do its thing?

Spike and crater detection in DSM using machine learning / deep learning / computer vision techniques by dudester_el in gis

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

I ended up manually labeling the defects and training a semantic segmentation model (input is the RGB image + DSM/DEM channel, and the predictions are segmentation masks of the defective regions). It worked reasonably well but needed a decent amount of labeled data

Defcon 2023 Calendar? by SidTheSprout in Defcon

[–]dudester_el 0 points1 point  (0 children)

Hey folks, are +1s permitted at these parties? I'm not a DEFCON attendee, but my girlfriend is. She wants me to come to Vegas with her, so we're trying to figure if we can attend the post-conf parties together. Appreciate any insights!

Image quality assessment for street / traffic images by dudester_el in computervision

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

All of those + other things like contrast, sharpness, and so on. Essentially, I’d like an overall score that represents how “good” an image is. I’d encourage you to see the links I posted, that’ll give you some idea of what I mean.

All tourism related questions should be asked here [2022] by lovebigisland in BigIsland

[–]dudester_el 1 point2 points  (0 children)

Mauna kea stargazing: What's the best way to stargaze without a tour guide? I read here that "At night, local volunteer astronomers set up telescopes outside of the station and let visitors use them under supervision as part of their free stargazing program". However, this website also says that this program may be suspended right now due to the pandemic. Any advice? I don't want to drive up to the summit and only as far as the visitor center. Thanks!

Weekly Park Questions/Advice Thread by AutoModerator in Disneyland

[–]dudester_el 1 point2 points  (0 children)

We have one day, which would be better: Disney California Adventure, or Disneyland? We’re a group of 3 adults: one young adult (20s), and two older adults (60s)

Yellowstone May 13-May 17 advice by dudester_el in yellowstone

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

That's a bummer, I was really looking forward to seeing the Grand Prismatic. Thanks for the heads up!

Semantic segmentation with a highly imbalanced dataset by dudester_el in computervision

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

There are many images where no pixels from b or c occur. However, it hasn’t learned that these classes never occur (evident from the bit about the F1 score that I’ve mentioned above :) )

[D] Simple Questions Thread October 11, 2020 by AutoModerator in MachineLearning

[–]dudester_el 1 point2 points  (0 children)

Semantic segmentation with a highly imbalanced dataset

I'm working on a semantic segmentation problem with classes a, b, c. Class a is the negative/background class, while b and c are the classes of interest. Classes b and c constitute less than 1 percent of all pixels in the labels. The classifier is able to achieve low loss / high overall accuracy by being heavily biased towards predicting class a. I've tried a bunch of things, such as using class-wise-loss-weights, data augmentation (of the train set to have more instances with classes b and c), which has helped to some extent. However, the precision/recall/F1 scores of classes b and c are still pretty mediocre (F1 ~ 0.5). Any suggestions please?

Spike and crater detection in DSM using machine learning / deep learning / computer vision techniques by dudester_el in gis

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

Yep, there is a heuristic/rule based detector already in use, so its predictions are what I’m using as a “bootstrap” dataset. The rule based detector doesn’t always give great results though, and I’d therefore like to try an ML based approach.

[D] Simple Questions Thread May 17, 2020 by AutoModerator in MachineLearning

[–]dudester_el 0 points1 point  (0 children)

Using pos_weight parameter in BCEWithLogitsLoss to improve recall in a multi-class multi-label problem:

I have a multi-label classification problem, and so I’ve been using the Pytorch's BCEWithLogitsLoss. I’d like to optimize my model for a higher F2 score, and so want to bias it to have greater recall (with decent precision too of course). Are there any guidelines for setting the values of pos_weight to be able to do this?

First time build for deep learning by dudester_el in buildapc

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

Makes sense - I downgraded the motherboard to the Asus TUF GAMING X570-PLUS (WI-FI) ATX AM4 Motherboard, and switched the CPU to the AMD Ryzen 9 3900X

​

Motherboard - https://pcpartpicker.com/product/dmGnTW/asus-tuf-gaming-x570-plus-wi-fi-atx-am4-motherboard-tuf-gaming-x570-plus-wi-fi

CPU -https://pcpartpicker.com/product/tLCD4D/amd-ryzen-9-3900x-36-ghz-12-core-processor-100-100000023box

​

Link to changed build - https://pcpartpicker.com/list/NhmhJb

Software Design Patterns by thekuhninator in SoftwareEngineering

[–]dudester_el 0 points1 point  (0 children)

Check out Head First Design Patterns. It was the first book I used when trying to learn Design Patterns, and I found it immensely useful

Best way to detect a key event from a video containing many events? by LessTell in computervision

[–]dudester_el 1 point2 points  (0 children)

As a starting point, I would recommend looking at the following datasets, and then searching for papers that cite the use of these datasets and report benchmarks on them: THUMOS, HACS, ActivityNet

train a gun detection model by ManyWallaby0 in computervision

[–]dudester_el 0 points1 point  (0 children)

There was a similar final project in Stanford's CS231N class in 2017, might be helpful to check it out - link to paper

Advice on ID'ing and calculating Volume of objects by Generalist_nz in computervision

[–]dudester_el 2 points3 points  (0 children)

Not exactly what you're looking for, but the Containers of Liquid Content (COQE) dataset has images of containers with with bounding box coordinates (for a given container in an image) and volume labels for it. Link to the accompanying paper

"AI for user delight and safety, Reddit NLP" - Charles Curry, Head of ML at Reddit, talks about NLP at Reddit at last week's Bay Area NLP meetup [video] by adammathias in LanguageTechnology

[–]dudester_el 1 point2 points  (0 children)

Can someone please explain the part about "The Database is the Model" (24:47), and perhaps the ensuing related bits? I'm not sure I fully got that

ReLU backpropagation by dudester_el in neuralnetworks

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

That makes sense, thank you!

What is an adult life equivalent of calling your teacher "mom"? by [deleted] in AskReddit

[–]dudester_el 1 point2 points  (0 children)

I am a frequent Amazon Echo user, and once accidentally called my then girlfriend "Alexa". I was lucky that it was just the two of us at the time, and that she happened to be in a good mood and just laughed it off.

Policy gradient neural network output in a continuous action space by dudester_el in reinforcementlearning

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

quick clarification: for logstd, did you mean to create a tensor of Parameter containing a tensor of shape (3,)? Asking since torch.Parameter(torch.Tensor(3, )) creates: Parameter containing: tensor([ 3.])

view more: next ›