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OpenCV, Changing Color-space, Changing Color-space, Thresholding,…

- - - - dst = cv2.cornerHarris(gray_image, 2, 3, 0.04)
        dst = cv2.dilate(dst, None) # Опционально, чтобы расширить области углов
        image[dst > 0.01 * dst.max()] = [0, 0, 255] # Подсвечиваем углы
    - - criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 40, 0.001)
  - - - detect(img, None)
      - orb.calculate(img, kp)
  - - - .compute(img, kp)
      - .descriptorSize()
      - cv.xfeatures2d.StarDetector_create()
        
        .detect(img, None)
  - - - .match(descriptor1, descriptor2)
      - .knnMatch(descriptor1, descriptor2, k=2)
    - - sift = cv2.SIFT_create()
        
        cv.FlannBasedMatcher()
      - keypoints1, descriptor1 = sift.detectAndCompute(img1, None)
      - keypoints1, descriptor1 = sift.detectAndCompute(img2, None)
  - - - corners = cv2.goodFeaturesToTrack(image, 100, 0.01, 10, mask=mask)
      - for corner in corners:
        x, y = corner.ravel()
        cv2.circle(image, (x, y), 3, 255, -1)
  - - - keypoints = sift.detect(image, mask=None)
      - keypoints, descriptors = sift.compute(image, keypoints)
      - keypoints, descriptors = sift.detectAndCompute(image, None)
      - for kp in keypoints:
        print(f"Position: {kp.pt}, Scale: {kp.size}, Angle: {kp.angle}")
  - - - keypoints = surf.detect(image, mask=None)
      - keypoints, descriptors = surf.compute(image, keypoints)
      - keypoints, descriptors = surf.detectAndCompute(image, None)
        for kp in keypoints:
        print(f"Position: {kp.pt}, Orientation: {kp.angle}")
      - surf.setUpright(True) # Выключить ориентацию, чтобы ускорить процесс
- - - - px = img[x,y]
    - - img[100,100] = [255,255,255]
    - - img.shape
      - img.size
      - img.dtype
    - - cv.split(img)
      - cv.merge((b,g,r))
  - - - cv.add(x,y)
    - - cv.addWeighted(img1,0.7,img2,0.3,0)
    - - cv.bitwise_not
      - cv.bitwise_and
      - cv.bitwise_or
      - cv.bitwise_xor
- - - - Scaling
        
        res = cv.resize(img,None,fx=2, fy=2, interpolation = cv.INTER_CUBIC)
      - Rotation
        
        M = cv.getRotationMatrix2D(((cols-1)/2.0,(rows-1)/2.0),90,1)
        
        dst = cv.warpAffine(img,M,(cols,rows))
        
        rows,cols = img.shape
      - Translation
        
        M = np.float32([[1,0,100],[0,1,50]])
        
        dst = cv.warpAffine(img,M,(cols,rows))
        
        rows,cols = img.shape
    - - Gaussian Blurring
        
        blur = cv.GaussianBlur(img,(5,5),0)
      - Median Blurring
        
        median = cv.medianBlur(img,5)
      - Averaging
        
        blur = cv.blur(img,(5,5))
      - Bilateral Filtering
        
        blur = cv.bilateralFilter(img,9,75,75)
    - - Увеличить размер
        
        higher_reso2 = cv.pyrUp(lower_reso)
      - Уменьшить размер
        
        lower_reso = cv.pyrDown(higher_reso)
  - - - lower_blue = np.array([110,50,50])
      - upper_blue = np.array([130,255,255])
      - mask = cv.inRange(hsv, lower_blue, upper_blue)
    - - ret,thresh1 = cv.threshold(img,127,255,cv.THRESH_BINARY)
      - ret,thresh2 = cv.threshold(img,127,255,cv.THRESH_BINARY_INV)
      - ret,thresh3 = cv.threshold(img,127,255,cv.THRESH_TRUNC)
      - ret,thresh4 = cv.threshold(img,127,255,cv.THRESH_TOZERO)
      - ret,thresh5 = cv.threshold(img,127,255,cv.THRESH_TOZERO_INV)
    - - dilation = cv.dilate(img,kernel,iterations = 1)
      - kernel = np.ones((5,5),np.uint8)
        erosion = cv.erode(img,kernel,iterations = 1)
      - opening = cv.morphologyEx(img, cv.MORPH_OPEN, kernel)
      - closing = cv.morphologyEx(img, cv.MORPH_CLOSE, kernel)
    - - plt.subplot(122),plt.imshow(edges,cmap = 'gray')
        plt.title('Edge Image'), plt.xticks([]), plt.yticks([])
      - edges = cv.Canny(img,100,200)
    - - imgray = cv.cvtColor(im, cv.COLOR_BGR2GRAY)
      - ret, thresh = cv.threshold(imgray, 127, 255, 0)
      - im2, contours, hierarchy = cv.findContours(thresh, cv.RETR_TREE, cv.CHAIN_APPROX_SIMPLE)
- - - - cv.VideoCapture(source, apiReference)
        
        Capture from Camera
        
        cap = cv.VideoCapture(0)
        
        while True:
        _, frame = cap.read()
        cv.imshow('video_frame', frame)
        
        cap.release()
        cv.destroyAllWindows()
        
        Capture existing video file
        
        cap = cv.VideoCapture(0)
        fourcc = cv.VideoWriter_fourcc("XVID")
        out = cv.VideoWriter("videofile.avi", fourcc, 20.0, (640, 480))
        _, frame = cap.read()
        out.write(frame)
      - show the created opencv object
        cv.imshow(window_name, image)
    - - cv.line(img, pt1, pt2, color, thickness, lineType, shift)
        cv.rectangle(img, pt1, pt2, color, thickness, lineType, shift)
        cv.circle(img, center, rad, color, thickness, lineType, shift)
        cv.ellipse(img, center, axes, angle, startAngle, endAngle, color, thickness, lineType, shift)
        cv.polylines(img, pts, isClosed, color, thickness, lineType, shift)
        cv.putText(img, text, org, fontFace, fontScale, color, thickness, lineType, bottomLeftOrigin)
    - - cv.setMouseCallback()
        
        def draw_circle(event,x,y,flags,param):
        
        if event == cv.EVENT_LBUTTONDBLCLK:
        
        cv.circle(img,(x,y),100,(255,0,0),-1)
      - Ниязбеков Айбек
        
        Trackbar
        
        cv.createTrackbar()
        
        cv.getTrackbarPos()