2019-11-08 18:00:54 -0600 | commented answer | How to execute sift() in python 3.6 i did the pip install but it still says there is no module xfeatures2d module 'cv2.cv2' has no attribute 'xfeatures2d' |
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2017-09-08 12:26:15 -0600 | answered a question | How do the rho and theta values work in HoughLines? Rho is the size of the 'bucket' or accumulator array for all incoming rho, or distance from origin. The longest possible |
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2013-05-11 21:32:13 -0600 | asked a question | Anyone want my notes on how to install OpenCV and a list of all errors i've gotten? Stuff you have to do to get opencv to workClean Install of OpenCV Errors I've gotten (more) |
2012-12-29 11:14:31 -0600 | answered a question | How to get histogram of a rectangular area (ROI) of an image? Your code is fine, but just do it in OpenCV 2.0. |
2012-12-29 03:50:37 -0600 | asked a question | Why so many errors involve c:/slave/wininstallerMegaPack/... ?? I'm trying to compile CUDA - it successfully compiles/builds, but nothing will run. OpenCV keeps reporting this error: But I never installed the MegaPack, and the file in question does not exist. So what's up with the errors? They don't make sense, and I'm desperate to figure out why my code isn't working. |
2012-12-20 16:28:34 -0600 | asked a question | How does the filter2d algorithm *actually* work? Are there any experts on the filter2D algorithm? I know how it's supposed to work but not how it actually works. I made my own filter2d() function to test things, and the results are substantially different from opencvs filter2D(). Here's my code: Here is my execution: Here is my kernel: And here are the (substantially different) results: Thoughts, anyone? |
2012-12-20 16:08:08 -0600 | commented answer | Is this a bug or not about filter2D? how does the filter2d algorithm work? The OpenCV documentation does not match my results. |
2012-12-12 22:14:31 -0600 | asked a question | How does the Hessian transformation work? I am trying to wrap my head around OpenCV's SURF algorithm. For the algorithm, points of interest are calculated by creating a Hessian Matrix around each pixel. But what does this mean? I understand the hessian matrix is just taking the 2nd derivatives - but why does it work? What is the significance? I know this is more a math question than an OpenCV one, but this stems from an OpenCV project. Thanks for your answers, J |