Earlier quoted context omitted.
What are you looking for in the pixels?
To see if it’s a ‘shop.
Shoop*
OpenCV 5 Is Here: The Biggest Leap in Years for Computer Vision
151–160 of 160 posts
Re: OpenCV 5 Is Here: The Biggest Leap in Years for Computer Vision
#152Earlier quoted context omitted.
They wouldn't happen to be french cartography would they?
These should help narrow down the search, but ibfs commercial restrictions are now 404... and the original IP warnings seem missing/expired. https://github.com/openMVG/openMVG/blob/develop/COPYRIGHT.md https://github.com/cdcseacave/openMVS/blob/master/COPYRIGHT.... Personally, I recommend COLMAP + CloudCompare + MeshLab, but the Mozilla Public License 2.0 should address IP license issues if the author is also the rig…
Thank you for the recommendations, I'll return one myself:
https://github.com/alicevision/AliceVision https://github.com/alicevision/Meshroom
No affiliation, just an excellent tool
Re: OpenCV 5 Is Here: The Biggest Leap in Years for Computer Vision
#153I guess i'm the only one blown away by this announcement and super excited to get back into image processing.
judging by the amount of upvotes, it is unlikely you're the only one.
Re: OpenCV 5 Is Here: The Biggest Leap in Years for Computer Vision
#154OpenCV being in the list of Pyodide modules [0] was the biggest boon for my online teaching experience because remotely dealing with install woes (corporate proxies & cie) was a show stopper for regular Python.
I'm hoping that they will package this new version and that it will bring the new neural networks engines goodies to the no-install crowd !
[0] https://pyodide.org/en/latest/usage/packages-in-pyodide.html
Re: OpenCV 5 Is Here: The Biggest Leap in Years for Computer Vision
#155Same on mobile. I use Apple's Vision framework on-device to find people in photos for a printing app. Sending users' personal photos to an image-model API is a non-starter on privacy, latancy, and per-photo cost alone. Less flexible than a V-LLM, but for "find the people, give me box" it's instant, free, and works offline.
Re: OpenCV 5 Is Here: The Biggest Leap in Years for Computer Vision
#156[dead]
Re: OpenCV 5 Is Here: The Biggest Leap in Years for Computer Vision
#157Image augmentations library Albumentations is heavily based on OpenCV, which allows it to beat torchvision, Kornia, PIL, and other similar libraries.
But there is still a huge room for improvement in terms of performance, as for some low level operations StringZilla or Numkong are faster, for some, especially for float32 images, numpy is the best.
The most annoying component is that OpenCV is limited to input shapes like (H, W, C), which limits its application to videos and volumes with shapes (X, H, W, C)
Re: OpenCV 5 Is Here: The Biggest Leap in Years for Computer Vision
#158To the question about OpenCV peformance to measure JPEG image decoding sequentially and as a part of the PyTorch Dataloader.
TL;DR
OpenCV is fast, but torchvision is faster.
Re: OpenCV 5 Is Here: The Biggest Leap in Years for Computer Vision
#159I'm more curious about the hardware acceleration on Snapdragon and ARM. That matters way more for real deployment than any new DNN feature.
Re: OpenCV 5 Is Here: The Biggest Leap in Years for Computer Vision
#160[deleted]