"Go Computer Vision Package GoCV Adds Support for OpenCV 4.12" - me on Hackster.io about the new @gocv release!

"Go Computer Vision Package GoCV Adds Support for OpenCV 4.12" - me on Hackster.io about the new @gocv release!
GoCV 0.42 is out with support for the latest @opencv 4.12, new CUDA functions, ViT DNN tracking, and lots more!
Full release notes here: https://github.com/hybridgroup/gocv/releases/tag/v0.42.0
Go get it right now!
OpenCV Version 4.12.0 is now available! Highlights include: GIF decode and encode for imgcodecs, improved PNG and Animated PNG files handing, animated WebP Support, and especially the new HAL for RISC-V RVV 1.0 platforms.
Read more: https://opencv.org/blog/opencv-4-12-0-is-now-available/
Another one of my posts. This one on the topic of AI tools as assistive technology, what's working, what isn't and why, all without the hype that too many people tend to lean into when discussing this technology:
When Independence Meets Uncertainty: My Journey with AI-Powered Vision
A blind user's candid assessment of the promises and pitfalls of current AI accessibility tools
https://open.substack.com/pub/kaylielfox/p/when-independence-meets-uncertainty?utm_campaign=post&utm_medium=web
We have a new proposal for adding improvements for hardware acceleration, but that would require a breaking interface change.
What do you think? Feedback wanted!
Dive into #ComputerVision with #Supervision from this #oSC25 talk! This talk shows how to streamline dataset loading, annotation & video analysis while staying lightweight for #edge & #IoT devices #AI #openSUSE https://www.youtube.com/watch?v=5CjYBrwhwS8
“The nature of scientific progress is that it sometimes provides powerful tools that can be wielded for good or for ill: splitting the atom and nuclear weapons being a case in point. In such cases, it’s necessary that researchers involved in developing such #technologies participate actively in the ethical and political discussions about the appropriate boundaries for their use. Computer vision is one area in which more voices need to be heard.”
…
“This study backs up with clear evidence what many have long suspected: that computer-vision research is being used mainly in surveillance-enabling #applications.”
#ArtificialIntelligence / #ComputerVision / #research / #surveillance / #tech <https://www.nature.com/articles/d41586-025-01965-5>
"An increasing number of scholars, policymakers and grassroots communities argue that artificial intelligence (AI) research—and computer-vision research in particular—has become the primary source for developing and powering mass surveillance. Yet, the pathways from computer vision to surveillance continue to be contentious. Here we present an empirical account of the nature and extent of the surveillance AI pipeline, showing extensive evidence of the close relationship between the field of computer vision and surveillance. Through an analysis of computer-vision research papers and citing patents, we found that most of these documents enable the targeting of human bodies and body parts. Comparing the 1990s to the 2010s, we observed a fivefold increase in the number of these computer-vision papers linked to downstream surveillance-enabling patents. Additionally, our findings challenge the notion that only a few rogue entities enable surveillance. Rather, we found that the normalization of targeting humans permeates the field. This normalization is especially striking given patterns of obfuscation. We reveal obfuscating language that allows documents to avoid direct mention of targeting humans, for example, by normalizing the referring to of humans as ‘objects’ to be studied without special consideration. Our results indicate the extensive ties between computer-vision research and surveillance."
Deployments of computer vision applications in the wild appear to not have been vetted much.
Left, "the camera detected a vehicle".
Right, "the camera detected a person".
Turns out, spider webs are adversarial for a system that didn't include them in the training data.
Seems developers didn't think of spider webs. There may have not been any in their labs.
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Guess I shouldn’t have tempted fate with a post like that. It failed again after several hours of running.
Trying another idea now…
I think (hope) I have finally won my battle with #gstreamer and #nvidia and we have worked around the insidious memory leak (that's on Nvidia's nvvideoconvert component we believe, which seems to leak when a pipeline containing it is destroyed), and the frustrating failure of the GStreamer qtdemux to emit its pad creation signal intermittently (very intermittently).