python Programming Glossary: cv2.waitkey
OpenCV dot target detection not finding all targets, and found circles are offset http://stackoverflow.com/questions/10404062/opencv-dot-target-detection-not-finding-all-targets-and-found-circles-are-offse import numpy as np def showme pic cv2.imshow 'window' pic cv2.waitKey cv2.destroyAllWindows im cv2.imread 'small_test.jpg' gray cv2.cvtColor..
OpenCV 2.4.1 - computing SURF descriptors in Python http://stackoverflow.com/questions/10984313/opencv-2-4-1-computing-surf-descriptors-in-python 2 color 1 cv2.imshow 'img' img cv2.imshow 'tm' template cv2.waitKey 0 cv2.destroyAllWindows Below are the results I got copy pasted..
Setting Camera Parameters in OpenCV/Python http://stackoverflow.com/questions/11420748/setting-camera-parameters-in-opencv-python input img #cv2.imshow thresholded imgray thresh2 key cv2.waitKey 10 if key 27 break cv2.destroyAllWindows cv2.VideoCapture 0..
Writing Python bindings for C++ code that use OpenCV http://stackoverflow.com/questions/12957492/writing-python-bindings-for-c-code-that-use-opencv myobj.doSomething image cv2.imshow test processedImage cv2.waitKey if __name__ __main__ main c python boost opencv boost python..
Compare similarity of images using OpenCV with Python http://stackoverflow.com/questions/13379909/compare-similarity-of-images-using-opencv-with-python 2 color 1 cv2.imshow 'img' img cv2.imshow 'tm' template cv2.waitKey 0 cv2.destroyAllWindows My question is how can I compare the..
No highgui in python http://stackoverflow.com/questions/13491253/no-highgui-in-python cv2 img cv2.imread image name cv2.imshow window name img cv2.waitKey 0 You can find more help on OpenCV docs and you could also look..
Converting an OpenCV Image to Black and White http://stackoverflow.com/questions/7624765/converting-an-opencv-image-to-black-and-white cv.CV_THRESH_OTSU cv2.imshow '' np.asarray im_bw_mat cv2.waitKey python image processing opencv computer vision share improve..
Simple Digit Recognition OCR in OpenCV-Python http://stackoverflow.com/questions/9413216/simple-digit-recognition-ocr-in-opencv-python x w roismall cv2.resize roi 10 10 cv2.imshow 'norm' im key cv2.waitKey 0 if key 27 sys.exit elif key in keys responses.append int.. x y h 0 1 0 255 0 cv2.imshow 'im' im cv2.imshow 'out' out cv2.waitKey 0 And it worked below is the result i got Here it worked with..
writing robust (color and size invariant) circle detection with opencv (based on Hough transform or other features) http://stackoverflow.com/questions/9860667/writing-robust-color-and-size-invariant-circle-detection-with-opencv-based-on w 5 w 2 5 img cv2.imshow image vis cv2.imwrite c_o.jpg vis cv2.waitKey cv2.destroyAllWindows As you can see it's based on the MSER..
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