OpenCV 5 Is Here: The Biggest Leap in Years for Computer Vision

Post by ranit » Tue, Jun 09, 2026, 6:43 PM UTC

Joel_Mckay wrote: post #70

plasticeagle wrote: post #37

The 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…

Post by jaffa2 » Tue, Jun 09, 2026, 6:48 PM UTC

deadbabe wrote: post #82

plasticeagle wrote: post #37

The 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?

Post by dTal » Tue, Jun 09, 2026, 7:26 PM UTC

nnevatie wrote: post #17

ftchd wrote: post #10

> One practical detail is worth knowing. The new engine is CPU-only at the moment, so if you select a non-CPU backend and target (for example CUDA or OpenVINO through setPreferableBackend and setPreferableTarget), you will want the classic engine. So there's room for even better performance!

No one uses ONNXRuntime (nor the new engine in OpenCV 5) in production. For anything performance-sensitive, one would run models under TensorRT, as an example.

Post by [deleted] » Tue, Jun 09, 2026, 7:43 PM UTC

M4v3R wrote: post #63

_qua wrote: post #58

Earlier quoted context omitted.

The diagrams definitely look like LLM output as well

The diagrams were generated with Nano Banana Pro (most probably, or alternatively with ChatGPT Image 2), if you look closely in high contrast areas you'll see artifacts in the background that give it away. I personally don't mind AI generated content when it's properly reviewed, but unfortunately more often than not the author just glances at the result and decides it's good enough. Example: https://opencv.org/wp-con…

Post by Joel_Mckay » Tue, Jun 09, 2026, 8:58 PM UTC

zdkl wrote: post #114

ranit wrote: post #111

Earlier quoted context omitted.

If this is a fact: > 1. Patented algorithms that are effectively impossible to license in a commercial setting. then does anyone know how "OpenCV has been the foundation of countless production systems" is possible, as the OP article claims?

Well I've deployed OpenCV based pipelines in academic contexts for site surveys and photogrammetry.