Question

这是一个从输入视频生成一组帧并将它们存储在文件夹中的功能。

完整功能：

def new_dewarp(self):        
    vidpath = self.iVidPath
    def isInROI(x, y, R1, R2, Cx, Cy):
        isInOuter = False
        isInInner = False
        xv = x-Cx
        yv = y-Cy
        rt = (xv*xv)+(yv*yv)
        if(rt < R2*R2):
            isInOuter = True
            if(rt < R1*R1):
                isInInner = True
        return isInOuter and not isInInner

    def buildMap(Ws, Hs, Wd, Hd, R1, R2, Cx, Cy):
        map_x = np.zeros((Hd,Wd),np.float32)
        map_y = np.zeros((Hd,Wd),np.float32)
        rMap = np.linspace(R1, R1 + (R2 - R1), Hd)
        thetaMap = np.linspace(0, 0 + float(Wd) * 2.0 * np.pi, Wd)
        sinMap = np.sin(thetaMap)
        cosMap = np.cos(thetaMap)

        for y in xrange(0, int(Hd-1)):
            map_x[y] = Cx + rMap[y] * sinMap
            map_y[y] = Cy + rMap[y] * cosMap

        return map_x, map_y

    # do the unwarping 
    def unwarp(img, xmap, ymap):
        output = cv2.remap(img.getNumpyCv2(), xmap, ymap, cv2.INTER_LINEAR)
        result = Image(output, cv2image=True)
        # return result
        return result

    #vidpath = 
    disp = Display((800, 600))
    #disp = Display((1296,972))
    vals = []
    last = (0, 0)
    # Load the video from the rpi
    vc = VirtualCamera(vidpath, "video")
    # Sometimes there is crud at the begining, buffer it out
    for i in range(0, 10):
        img = vc.getImage()
        img.save(disp)
    # Show the user a frame let them left click the center
    #    of the "donut" and the right inner and outer edge
    # in that order. Press esc to exit the display
    while not disp.isDone():
        test = disp.leftButtonDownPosition()
        if( test != last and test is not None):
            last = test
            print "[360fy]------- center = {0}\n".format(last)

            vals.append(test)




    # center of the "donut"    
    Cx = vals[0][0]
    Cy = vals[0][1]
    #print str(Cx) + " " + str(Cy)
    # Inner donut radius
    R1x = vals[1][0]
    R1y = vals[1][1]
    R1 = R1x-Cx
    #print str(R1)
    # outer donut radius
    R2x = vals[2][0]
    R2y = vals[2][1]
    R2 = R2x-Cx
    #print str(R2)
    # our input and output image siZes
    Wd = round(float(max(R1, R2)) * 2.0 * np.pi)
    #Wd = 2.0*((R2+R1)/2)*np.pi
    #Hd = (2.0*((R2+R1)/2)*np.pi) * (90/360)
    Hd = (R2-R1)
    Ws = img.width
    Hs = img.height
    # build the pixel map, this could be sped up
    print ("BUILDING MAP!")

    xmap,ymap = buildMap(Ws, Hs, Wd, Hd, R1, R2, Cx, Cy)
    print ("MAP DONE!")

    result = unwarp(img, xmap, ymap)

    result.save(disp)

    i = 0


    while img is not None:
        print "Frame Number: {0}".format(i)
        result = unwarp(img, xmap, ymap)
        result.save(disp)
        # Save to file
        fname = "vid_files/frames/FY{num:06d}.png".format(num=i)
        result.save(fname)

        img = vc.getImage()
        i = i + 1
    if img is None:
        self.statusText.setText(str( "Status: Done"))

上面代码中保存帧的部分：

    while img is not None:
        print "Frame Number: {0}".format(i)
        result = unwarp(img, xmap, ymap)
        result.save(disp)
        # Save to file
        fname = "vid_files/frames/FY{num:06d}.png".format(num=i)
        result.save(fname)

        img = vc.getImage()
        i = i + 1
    if img is None:
        self.statusText.setText(str( "Status: Done"))

我想知道我是否可以将帧直接保存到具有输入视频帧速率和帧大小的视频（最好是mp4）？如果需要，我可以使用ffprobe获取帧大小和帧速率。

simplecv |如何将生成的帧保存到视频

0 个答案: