Пример #1
0
def projectDown(image):
    proj = []
    for x in range(image.width):
        col = cv.GetCol(image, x)
        sum = cv.Sum(col)
        proj.append(sum)
    return proj
Пример #2
0
def findX(imgSrc):
  mini = 0
  maxi = 0
  minFound = 0
  maxVal=cv.RealScalar(imgSrc.width * 255)
  for i in range(0,imgSrc.width):
    data = cv.GetCol(imgSrc, i);
    val  = cv.Sum(data);
    if(val[0] < maxVal[0]):
      maxi = i
      if(not minFound):
        mini = i
	minFound= 1
  return mini,maxi
Пример #3
0
def getpositions(im):
    leftmost = 0
    rightmost = 0
    topmost = 0
    bottommost = 0
    temp = 0
    for i in range(im.width):
        col = cv.GetCol(im, i)
        if cv.Sum(col)[0] != 0.0:
            rightmost = i
            if temp == 0:
                leftmost = i
                temp = 1
    for i in range(im.height):
        row = cv.GetRow(im, i)
        if cv.Sum(row)[0] != 0.0:
            bottommost = i
            if temp == 1:
                topmost = i
                temp = 2
    return (leftmost, rightmost, topmost, bottommost)
Пример #4
0
def getpositions(im):
    ''' this function returns leftmost,rightmost,topmost and bottommost values of the white blob in the thresholded image'''
    leftmost = 0
    rightmost = 0
    topmost = 0
    bottommost = 0
    temp = 0
    for i in range(im.width):
        col = cv.GetCol(im, i)
        if cv.Sum(col)[0] != 0.0:
            rightmost = i
            if temp == 0:
                leftmost = i
                temp = 1
    for i in range(im.height):
        row = cv.GetRow(im, i)
        if cv.Sum(row)[0] != 0.0:
            bottommost = i
            if temp == 1:
                topmost = i
                temp = 2
    return (leftmost, rightmost, topmost, bottommost)
Пример #5
0
def main():

    tree = utils.open_project(sys.argv)
    if tree == None:
        return

    try:
        os.mkdir(OUTPUT_DIR_NAME)
    except OSError:
        pass

    movie = tree.getroot()
    file_path = movie.attrib["path"]

    cap = cv.CreateFileCapture(file_path)
    cv.QueryFrame(cap)

    # skip frames in the beginning, if neccessary
    start_frame = int(movie.attrib["start_frame"])
    for i in range(start_frame):
        cv.QueryFrame(cap)

    f = open("shots.txt", "r")
    lines = [line for line in f if line]
    f.close()

    t = time.time()

    w = None
    h = None

    #for line in f:
    for nr, line in enumerate(lines):
        print(nr + 1), "/", len(lines)

        #frame_from, frame_to, width, scene_nr = [int(i) for i in line.split("\t")]
        #width, scene_nr = [int(i) for i in line.split("\t")][2:]
        start_frame, end_frame, width = [
            int(splt) for splt in line.split("\t")
        ]
        #width *= STRETCH_FAKTOR

        faktor = None
        output_img = None

        for frame_counter in range(width):
            #if frame_counter % STRETCH_FAKTOR == 0:
            #	img = cv.QueryFrame(cap)
            #	if not img:
            #		break

            img = cv.QueryFrame(cap)
            if not img:
                break

            if nr == 0:
                w = img.width
                h = img.height

            if frame_counter == 0:
                faktor = float(w) / float(width)
                output_img = cv.CreateImage((width, h), cv.IPL_DEPTH_8U, 3)

            col_nr = faktor * (frame_counter + 0.5)
            col_nr = int(math.floor(col_nr))
            #print frame_counter, width, col_nr, w
            col = cv.GetCol(img, col_nr)

            for i in range(h):
                cv.Set2D(output_img, i, frame_counter, cv.Get1D(col, i))

        #return

        cv.SaveImage(
            os.path.join(OUTPUT_DIR_NAME,
                         "shot_slitscan_%03d_%d.png" % (nr + 1, start_frame)),
            output_img)

    print "%.2f min" % ((time.time() - t) / 60)
    #raw_input("- done -")
    return