AI written release post and it shows...
Indeed. Well written, clear, informative and to the point.
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OpenCV 5 Is Here: The Biggest Leap in Years for Computer Vision
81–90 of 160 posts
Re: OpenCV 5 Is Here: The Biggest Leap in Years for Computer Vision
#82The thing I love about OpenCV is that it remains hands down the best library for simply loading images and video. I've never even used any of its fancy computer vision features, but if I need to load a video file and look at the pixels - which I did need to do recently for an art project - OpenCV does it in about four lines of code.
What are you looking for in the pixels?
Re: OpenCV 5 Is Here: The Biggest Leap in Years for Computer Vision
#83The thing I love about OpenCV is that it remains hands down the best library for simply loading images and video. I've never even used any of its fancy computer vision features, but if I need to load a video file and look at the pixels - which I did need to do recently for an art project - OpenCV does it in about four lines of code.
What are you looking for in the pixels?
To see if it's fake.
Re: OpenCV 5 Is Here: The Biggest Leap in Years for Computer Vision
#84How can I learn the practical side of computer vision in 2026?
I'm not interested in understanding papers or the math behind it, but rather in how to put a system into production, whether it's object detection, running 20 cameras in parallel on a single computer, like sizing hardware for a specific task, and so on.
Any tips?
Re: OpenCV 5 Is Here: The Biggest Leap in Years for Computer Vision
#85The thing I love about OpenCV is that it remains hands down the best library for simply loading images and video. I've never even used any of its fancy computer vision features, but if I need to load a video file and look at the pixels - which I did need to do recently for an art project - OpenCV does it in about four lines of code.
Done a few projects with OpenCV over the years, and I agree it can be fun. However, it has a few issues: 1. Patented algorithms that are effectively impossible to license in a commercial setting. 2. Permuted API that change how identically named functions behave over versions. 3. Hardware CUDA version coupling deprecating support every major release. 4. Inconsistent and contradictory documentation in the constant sub…
Also, performance is generally pretty low; I've been on projects where we rewrote OpenCV code into more-or-less obvious hand-rolled code and won 5x perf. The abstractions are generally a bit too thick and oriented around single pixels (which also makes the API a bit too verbose for my taste).
Re: OpenCV 5 Is Here: The Biggest Leap in Years for Computer Vision
#86Earlier quoted context omitted.
It could be the best written, most informative article they've ever read, but anti-ai folks would dismiss it as slop the moment someone told them it was written by ai.
The problem is that we don’t know if a human fact-checked it before release or if we’re the first humans reading it closely.
We don't really know that about human written text either.
Re: OpenCV 5 Is Here: The Biggest Leap in Years for Computer Vision
#87How can I learn the practical side of computer vision in 2026? I'm not interested in understanding papers or the math behind it, but rather in how to put a system into production, whether it's object detection, running 20 cameras in parallel on a single computer, like sizing hardware for a specific task, and so on. Any tips?
Try a coding agent for writing and tuning the OpenCV part, and have it explain its choices. That's probably the most practical path to shipping a working system.
Speaking from experience: never used OpenCV before, recently vibe coded a tool that makes supercuts of pool videos, trimming each clip from the cue ball's first strike to when the motion stops.
Re: OpenCV 5 Is Here: The Biggest Leap in Years for Computer Vision
#88Earlier quoted context omitted.
Sure. Claude does that. "Cogitated for 1m 50s" doesn't work for real-time applications.
You can submit many queries in parallel to increase throughout. Smaller models and faster hardware can reduce the time per query too.
None of that gets you the 100ms response time the parent poster talked about, for something like "who is at my doorbell?" real-time uses.
Re: OpenCV 5 Is Here: The Biggest Leap in Years for Computer Vision
#89How can I learn the practical side of computer vision in 2026? I'm not interested in understanding papers or the math behind it, but rather in how to put a system into production, whether it's object detection, running 20 cameras in parallel on a single computer, like sizing hardware for a specific task, and so on. Any tips?
One of the great things about OpenCV is how ubiquitous it is, there's a ton samples online and well represented in frontier model training data. I recently vibe-coded an object detector for my own personal photo library so I could separate out my pictures with humans in them. Very approachable with Codex + feeding it a sample from Github.