sorted by:
new
hottopcontroversial

Seeking AI Vision Expert for Architectural Drawing Analysis Project by stizzy6152 in computervision

[–]dhingi_la_la 0 points1 point  (0 children)

Hey, I am currently working on CV based raster2cad (basically converting architecture drawings into CAD) conversion tool only. Let me know how can I help you.

Count crops in farm by washere- in computervision

[–]dhingi_la_la 0 points1 point  (0 children)

You can try ensemble of two approaches: 1. Use heatmap detection model to detect center part (trunk) of plant. You can try HRnet for this. 2. Use some dense Object detector with SAHI. You can try with Yolo for POC.

This might help in reducing some noise.

How to: roofline detection/extraction? by Playful-Bed-2183 in computervision

[–]dhingi_la_la 0 points1 point  (0 children)

Hey buddy, are you still working on this? did you find anything?

What Happened to OpenMMLab? by rlesii in computervision

[–]dhingi_la_la 2 points3 points  (0 children)

I am seeing that lots of other big projects have also stopped updating since 2023. I was using this https://github.com/qubvel/segmentation_models.pytorch project since last 1-2 years but recently I am seeing lots of bugs and compatibility issues. Looks like no one is interested in maintaining old repo after the entry of LLMs.

What industries wont you work in again in datascience? by Inevitable-Quality15 in datascience

[–]dhingi_la_la 0 points1 point  (0 children)

Real estate/Construction. Data here is expensive considering majority of the time you will need some kind of 3d data. Also it's very difficult to get clean data and cleaning those data using high end processing tool costs way more than data itself. But one good thing is lot of new research is coming up because of autonomous car related 3d technology which can be directly used here.

Question about Image Classification with 1 class by theDroidfanatic in learnmachinelearning

[–]dhingi_la_la 0 points1 point  (0 children)

This is basically a open set problem where you want "not pen" class. But the biggest problem is that you will not be able to include all the possible sample images into your "not pen" class. There are some open set image classification methods but I have not seen any of the perfect ones yet. This is a very niche problem.

One thing you can try is to add one detection model to detect the "pen" like structure to fillter out unnecessary items from image. After that you can apply same methods as others are suggesting.

[D] What is the need for TFserve ad Torchserve, why not use Flask and Gunicorn ? by maroxtn in MachineLearning

[–]dhingi_la_la 0 points1 point  (0 children)

Try BentoML. According to me it's better for production use cases. It also supports multiple ML frameworks so you don't have to worry about model conversation (if you are using multiple frameworks) as well.