Erstellen trackbars zu scrollen großes Bild in OpenCV Python

Ich hatte das gleiche Bedürfnis, so heute habe ich eine Klasse angelegt von Grund auf behandelt, Maus Klicks, pan und zoom auf ein OpenCV-Fenster. Es funktioniert wie folgt:

1. rechts-nach oben oder unten ziehen, um zoom -
2. der rechten Maustaste, um den Mittelpunkt der Ansicht auf die Maus
3. ziehen Sie die x-und y-trackbars zu Blättern
4. wenn Sie Sie initialisieren, können Sie Optional übergeben Sie eine Funktion, die aufgerufen wird, wenn der Benutzer die linke Maustaste auf einen pixel

(Soweit ich das beurteilen kann, OpenCV nicht Lesen können, das Mausrad und kann nicht erstellen Sie eine vertikale trackbar, so dass der Benutzer Erfahrung ist ein wenig nicht-intuitive, aber es funktioniert.)

# -*- coding: utf-8 -*-
import cv2
import numpy as np

class PanZoomWindow(object):
    """ Controls an OpenCV window. Registers a mouse listener so that:
        1. right-dragging up/down zooms in/out
        2. right-clicking re-centers
        3. trackbars scroll vertically and horizontally 
    You can open multiple windows at once if you specify different window names.
    You can pass in an onLeftClickFunction, and when the user left-clicks, this 
    will call onLeftClickFunction(y,x), with y,x in original image coordinates."""
    def __init__(self, img, windowName = 'PanZoomWindow', onLeftClickFunction = None):
        self.WINDOW_NAME = windowName
        self.H_TRACKBAR_NAME = 'x'
        self.V_TRACKBAR_NAME = 'y'
        self.img = img
        self.onLeftClickFunction = onLeftClickFunction
        self.TRACKBAR_TICKS = 1000
        self.panAndZoomState = PanAndZoomState(img.shape, self)
        self.lButtonDownLoc = None
        self.mButtonDownLoc = None
        self.rButtonDownLoc = None
        cv2.namedWindow(self.WINDOW_NAME, cv2.WINDOW_NORMAL)
        self.redrawImage()
        cv2.setMouseCallback(self.WINDOW_NAME, self.onMouse)
        cv2.createTrackbar(self.H_TRACKBAR_NAME, self.WINDOW_NAME, 0, self.TRACKBAR_TICKS, self.onHTrackbarMove)
        cv2.createTrackbar(self.V_TRACKBAR_NAME, self.WINDOW_NAME, 0, self.TRACKBAR_TICKS, self.onVTrackbarMove)
    def onMouse(self,event, x,y,_ignore1,_ignore2):
        """ Responds to mouse events within the window. 
        The x and y are pixel coordinates in the image currently being displayed.
        If the user has zoomed in, the image being displayed is a sub-region, so you'll need to
        add self.panAndZoomState.ul to get the coordinates in the full image."""
        if event == cv2.EVENT_MOUSEMOVE:
            return
        elif event == cv2.EVENT_RBUTTONDOWN:
            #record where the user started to right-drag
            self.mButtonDownLoc = np.array([y,x])
        elif event == cv2.EVENT_RBUTTONUP and self.mButtonDownLoc is not None:
            #the user just finished right-dragging
            dy = y - self.mButtonDownLoc[0]
            pixelsPerDoubling = 0.2*self.panAndZoomState.shape[0] #lower = zoom more
            changeFactor = (1.0+abs(dy)/pixelsPerDoubling)
            changeFactor = min(max(1.0,changeFactor),5.0)
            if changeFactor < 1.05:
                dy = 0 #this was a click, not a draw. So don't zoom, just re-center.
            if dy > 0: #moved down, so zoom out.
                zoomInFactor = 1.0/changeFactor
            else:
                zoomInFactor = changeFactor
#            print "zoomFactor:",zoomFactor
            self.panAndZoomState.zoom(self.mButtonDownLoc[0], self.mButtonDownLoc[1], zoomInFactor)
        elif event == cv2.EVENT_LBUTTONDOWN:
            #the user pressed the left button. 
            coordsInDisplayedImage = np.array([y,x])
            if np.any(coordsInDisplayedImage < 0) or np.any(coordsInDisplayedImage > self.panAndZoomState.shape[:2]):
                print "you clicked outside the image area"
            else:
                print "you clicked on",coordsInDisplayedImage,"within the zoomed rectangle"
                coordsInFullImage = self.panAndZoomState.ul + coordsInDisplayedImage
                print "this is",coordsInFullImage,"in the actual image"
                print "this pixel holds ",self.img[coordsInFullImage[0],coordsInFullImage[1]]
                if self.onLeftClickFunction is not None:
                    self.onLeftClickFunction(coordsInFullImage[0],coordsInFullImage[1])
        #you can handle other mouse click events here
    def onVTrackbarMove(self,tickPosition):
        self.panAndZoomState.setYFractionOffset(float(tickPosition)/self.TRACKBAR_TICKS)
    def onHTrackbarMove(self,tickPosition):
        self.panAndZoomState.setXFractionOffset(float(tickPosition)/self.TRACKBAR_TICKS)
    def redrawImage(self):
        pzs = self.panAndZoomState
        cv2.imshow(self.WINDOW_NAME, self.img[pzs.ul[0]:pzs.ul[0]+pzs.shape[0], pzs.ul[1]:pzs.ul[1]+pzs.shape[1]])

class PanAndZoomState(object):
    """ Tracks the currently-shown rectangle of the image.
    Does the math to adjust this rectangle to pan and zoom."""
    MIN_SHAPE = np.array([50,50])
    def __init__(self, imShape, parentWindow):
        self.ul = np.array([0,0]) #upper left of the zoomed rectangle (expressed as y,x)
        self.imShape = np.array(imShape[0:2])
        self.shape = self.imShape #current dimensions of rectangle
        self.parentWindow = parentWindow
    def zoom(self,relativeCy,relativeCx,zoomInFactor):
        self.shape = (self.shape.astype(np.float)/zoomInFactor).astype(np.int)
        #expands the view to a square shape if possible. (I don't know how to get the actual window aspect ratio)
        self.shape[:] = np.max(self.shape) 
        self.shape = np.maximum(PanAndZoomState.MIN_SHAPE,self.shape) #prevent zooming in too far
        c = self.ul+np.array([relativeCy,relativeCx])
        self.ul = c-self.shape/2
        self._fixBoundsAndDraw()
    def _fixBoundsAndDraw(self):
        """ Ensures we didn't scroll/zoom outside the image. 
        Then draws the currently-shown rectangle of the image."""
#        print "in self.ul:",self.ul, "shape:",self.shape
        self.ul = np.maximum(0,np.minimum(self.ul, self.imShape-self.shape))
        self.shape = np.minimum(np.maximum(PanAndZoomState.MIN_SHAPE,self.shape), self.imShape-self.ul)
#        print "out self.ul:",self.ul, "shape:",self.shape
        yFraction = float(self.ul[0])/max(1,self.imShape[0]-self.shape[0])
        xFraction = float(self.ul[1])/max(1,self.imShape[1]-self.shape[1])
        cv2.setTrackbarPos(self.parentWindow.H_TRACKBAR_NAME, self.parentWindow.WINDOW_NAME,int(xFraction*self.parentWindow.TRACKBAR_TICKS))
        cv2.setTrackbarPos(self.parentWindow.V_TRACKBAR_NAME, self.parentWindow.WINDOW_NAME,int(yFraction*self.parentWindow.TRACKBAR_TICKS))
        self.parentWindow.redrawImage()
    def setYAbsoluteOffset(self,yPixel):
        self.ul[0] = min(max(0,yPixel), self.imShape[0]-self.shape[0])
        self._fixBoundsAndDraw()
    def setXAbsoluteOffset(self,xPixel):
        self.ul[1] = min(max(0,xPixel), self.imShape[1]-self.shape[1])
        self._fixBoundsAndDraw()
    def setYFractionOffset(self,fraction):
        """ pans so the upper-left zoomed rectange is "fraction" of the way down the image."""
        self.ul[0] = int(round((self.imShape[0]-self.shape[0])*fraction))
        self._fixBoundsAndDraw()
    def setXFractionOffset(self,fraction):
        """ pans so the upper-left zoomed rectange is "fraction" of the way right on the image."""
        self.ul[1] = int(round((self.imShape[1]-self.shape[1])*fraction))
        self._fixBoundsAndDraw()

if __name__ == "__main__":
    infile = "./testImage.png"
    myImage = cv2.imread(infile,cv2.IMREAD_ANYCOLOR)
    window = PanZoomWindow(myImage, "test window")
    key = -1
    while key != ord('q') and key != 27: # 27 = escape key
        #the OpenCV window won't display until you call cv2.waitKey()
        key = cv2.waitKey(5) #User can press 'q' or ESC to exit.
    cv2.destroyAllWindows()