OpenCV

“they do provide functions like findChessboardCorners, CharucoDetector, stereoCalibrate”

“last time i played with opencv for this it didnt do a very good job at automatically calculating the k's”

“OpenCV has a number of tutorials on this using stuff like stereoBM”

“I often helped lab students who read a simple `make; make install` tutorial for OpenCV and permanently messed up their Python installs.”

“never felt it was particularly complicated, but since the days of resnet there are much faster ways to the goal”

“instructing the models to use deterministic tools (like OpenCV)”

“OpenCV is fast, but torchvision is faster.”

“The most annoying component is that OpenCV is limited to input shapes like (H, W, C)”

“was the biggest boon for my online teaching experience because remotely dealing with install woes”

“blown away by this announcement and super excited to get back into image processing”

“opencv has stood the test of time and I'm certain newer LLMs will likely not attempt to rewrite it from scratch”

“You can run OpenCV on a GPU-less Raspberry Pi or other IoT device just fine.”

“was so easy and smooth to set up for doing tasks like generating thumbnails”

“One can legally use/static-link OpenCV in most commercial projects, and there were only a few legal landmines people still try to document when possible.”

“python is easy and the bindings are not that hard”

“Despite its age, I think that OpenCV is still more than relevant today.”

“it will load images with the wrong gamma, it will give you floating point values that hide the limitation”

“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.”

“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”

“its constituent parts are written by many different people who all kind of do things a little differently and it shows”

“Perpetual-Beta culture means the library will unlikely ever really fully stabilize.”

“OpenCV is used behind the scenes for many of the fancy stuff those major AI provider pretend to do.”

“Quite a good release although not sure why they invest so much time into their ONNX engine.”

“it remains hands down the best library for simply loading images and video”

“it was OpenCV that made concepts like convolutions, softmax, minmax, and others finally click for me”

“this whole announcement feels more like OpenCV catching up to the modern world”

“No one uses ONNXRuntime (nor the new engine in OpenCV 5) in production.”

“Still great, needing fewer libraries is a good thing, but maybe a bit oversold”

“Until then, I would not call YOLO and OpenCV outdated, it's simply wrong.”

“the kind of performance an opencv function can get w/ just mask-matching”

“Not sure the engine fragmentation is the optimal solution.”

“Have you seen what you can do with just openCV? The world changed fast quite recently.”

“OpenCV is surprisingly effective and delightfully experimental and glitchy”

“Fast, but fragile: works on flat backgrounds, fails on textured images.”

“combines a cheap PTZ camera + OpenCV, Kalman filtering, PID control, and digital stabilization”

“OpenCV makes this all pretty darn easy”

“good old-fashioned OpenCV, because ML would be overkill for my case.”

“I'm using it to do computer vision stuff (where I have no prior background!) with opencv.js”

“which helped my side project get off the ground successfully”

“always found opencv to work way way faster”