You missed one more line: cv2.waitKey(0) Then the window shows the image until you press any key on keyboard. Or you can pass as following: cv2.waitKey(1000) cv2.destroyAllWindows() Here, window shows image for 1000 ms, or 1 second. After that, the window would disappear itself. But in some cases, it won’t. So you can forcefully destroy … Read more
Depth and Color streams are not taken from the same point so they do not correspond to each other perfectly. Also they FOV (field of view) is different. cameras IR/Depth FOV 58.5° x 45.6° Color FOV 62.0° x 48.6° distance between cameras 25mm my corrections for 640×480 resolution for both streams if (valid depth) { … Read more
I recommend the following steps: threshold() the image dilate() the image – this will remove the black line splitting the top and bottom section and also darker artifacts on the lower part findContours() using setting to retrieve only external contours(RETR_EXTERNAL) and simplify the output(CHAIN_APPROX_SIMPLE) process the contours further Step 1:threshold # threshold image ret,thresh = … Read more
The feature data you mention (position, laplacian, size, orientation, hessian) is insufficient for your purpose (these are actually the less relevant parts of the descriptor if you want to do matching). The data you want to look at are the “descriptors” (the 4th argument): void cvExtractSURF(const CvArr* image, const CvArr* mask, CvSeq** keypoints, CvSeq** descriptors, … Read more
Another, simpler way, that will probably translate better into OpenCV as it uses convolution rather than sequential Perl/C code. Basically set all the black pixels to value 10, and all the white pixels to value 0, then convolve the image with the following 3×3 kernel: 1 1 1 1 10 1 1 1 1 Now, … Read more
OpenCV has region of interest functions which you may find useful. If you are using the cv::Mat then you could use something like the following. // You mention that you start with a CVMat* imagesource CVMat * imagesource; // Transform it into the C++ cv::Mat format cv::Mat image(imagesource); // Setup a rectangle to define your … Read more
I tried the following and it worked: Change in FindCUDA.cmake the nppi library to the several splitted ones. This has to be done in 3 places. Remember this change is just to make it work with CUDA 9.0, I am not doing checks for version or anything, which should be done if you plan to … Read more
I’m going to assume you’re using C++, but the answer should be the same if you’re using C or Python. The function minAreaRect seems to give angles ranging from -90 to 0 degrees, not including zero, so an interval of [-90, 0). The function gives -90 degrees if the rectangle it outputs isn’t rotated, i.e. … Read more
To build OpenCV as static library you need to set BUILD_SHARED_LIBS flag to false/off: cmake -DBUILD_SHARED_LIBS=OFF .. But I think it is not enough for your task because you actually need to cross-compile library for you architecture. In case of Android or IOS such port already exists and you can simply use it. In case … Read more
This approach works only on points. You don’t need to create masks for this. The main idea is: Find defects on contour If I find at least two defects, find the two closest defects Remove from the contour the points between the two closest defects Restart from 1 on the new contour I get the … Read more