Tom Anderson's profile - activity

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2012-09-11 08:57:23 -0600	commented answer	Create a mask for NaN cells Looks good. Then I just need to use: replacements.copyTo(matrix, mask);
2012-09-11 08:56:28 -0600	received badge	● Scholar (source)
2012-09-11 08:41:37 -0600	commented answer	comments in OpenCV source code Ooh, time to update. That quote "We are going to organize the process of adopting pull requests a bit later." is from: http://code.opencv.org/projects/opencv/wiki
2012-09-11 08:33:39 -0600	answered a question	comments in OpenCV source code Further to Adi's answer, there is a github fork of OpenCV. You could simply fork it, add your comments to the code in your fork. When you found others who also wanted to help, they could fork your fork and push changes up to you, and it would be up to you to merge the changes into your fork. This is the OpenCV github mirror. https://github.com/itseez/opencv The OpenCV maintainers say that they will eventually respond to pull changes from GitHub, stating, "We are going to organize the process of adopting pull requests a bit later." The advantage of Github over a Wiki is that the code is readily downloaded in runnable form, and secondly you can easily keep updated with changes over multiple computers. The disadvantage would be that you would no longer be creating your own site, you would be beholden to the Github overlords, but forks on GitHub are free.
2012-09-11 08:21:04 -0600	received badge	● Editor (source)
2012-09-11 08:18:55 -0600	asked a question	Create a mask for NaN cells I have a `cv::Mat` (type `CV_32FC1`) that contains some entries that are `NaN`. Basically I want to center all `NaN` in a matrix to a known value that dependent on which cell it is. So if both `matrix` and `replacements` are of equal dimensions, I'd like a function like: `cv::patchNaNs(matrix, replacements);` This method would replace any `NaN` in cell `i,j` from `matrix` with the corresponding value in cell `i,j` from `replacements`. So I'm thinking I could do this with masks. How can I go about creating a mask that identifies those `NaN` entries? I tried threshold but none of the comparisons seem to be helpful for this purpose. Is there some simple thing that I'm overlooking?