Web我想用opencv和python檢測形式,所以我選擇了輪廓特征,但是現在我有問題,如果有其他方法,我如何使用opencv和python來區分正方形和菱形,請問我這樣的圖像:請輸入我在這里添加我的代碼的圖像描述 adsbygoogle window.adsbygoogle .push. Web28 de abr. de 2024 · The cv2.threshold function then returns a tuple of 2 values: the first, T, is the threshold value. In the case of simple thresholding, this value is trivial since we manually supplied the value of T in the first place. But in the case of Otsu’s thresholding where T is dynamically computed for us, it’s nice to have that value.
python - 我可以在OpenCV中區分具有輪廓的正方形和菱形 ...
Web8 de jan. de 2013 · It is necessary to find the maximum and minimum value to avoid discrepancies such as the high value of threshold becoming less than the low value. Results . After compiling this program, run it. The program will open two windows; As you set the range values from the trackbar, the resulting frame will be visible in the other … WebFirst, you need to set filterByColor = 1. Set blobColor = 0 to select darker blobs, and blobColor = 255 for lighter blobs. By Size : You can filter the blobs based on size by setting the parameters filterByArea = 1, and appropriate values for minArea and maxArea. E.g. setting minArea = 100 will filter out all the blobs that have less then 100 ... song about blue hair
OpenCV: Hough Line Transform
Web2 de abr. de 2024 · Create the trackbars for adjusting the HSV min and max values using cv2.createTrackbar () In the main while loop get the trackbar values using cv2.getTrackbarPos () Create the HSV mask using cv2.inRange () Print the HSV values on the image window using cv2.putText () Wait for keyboard button press using cv2.waitKey () Web22 de fev. de 2024 · When I create trackbar by this code createTrackbar( "Canny thresh:", source_window, &thresh, thresh_max, thresh_callback ); Below warning is reported: [ WARN:[email protected]] global D:\\projects\\opencv-src\\modules\\highgui\\src\\window.cpp (697) createTrackbar UI/Trackbar(Canny thresh:@Source): Using ‘value’ pointer is unsafe and … Web8 de jan. de 2013 · If the pixel value is smaller than the threshold, it is set to 0, otherwise it is set to a maximum value. The function cv.threshold is used to apply the thresholding. The first argument is the source image, which should be a grayscale image. The second argument is the threshold value which is used to classify the pixel values. small dog harness with handle for lifting