Python cv.IPL_DEPTH_8U Examples

The following are 6 code examples of cv.IPL_DEPTH_8U(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module cv , or try the search function .
Example #1
Source File: frame_convert.py    From SimpleCV2 with BSD 3-Clause "New" or "Revised" License 6 votes vote down vote up 
def pretty_depth_cv(depth):
    """Converts depth into a 'nicer' format for display

    This is abstracted to allow for experimentation with normalization

    Args:
        depth: A numpy array with 2 bytes per pixel

    Returns:
        An opencv image who's datatype is unspecified
    """
    import cv
    depth = pretty_depth(depth)
    image = cv.CreateImageHeader((depth.shape[1], depth.shape[0]),
                                 cv.IPL_DEPTH_8U,
                                 1)
    cv.SetData(image, depth.tostring(),
               depth.dtype.itemsize * depth.shape[1])
    return image
Example #2
Source File: frame_convert.py    From SimpleCV2 with BSD 3-Clause "New" or "Revised" License 6 votes vote down vote up 
def video_cv(video):
    """Converts video into a BGR format for opencv

    This is abstracted out to allow for experimentation

    Args:
        video: A numpy array with 1 byte per pixel, 3 channels RGB

    Returns:
        An opencv image who's datatype is 1 byte, 3 channel BGR
    """
    import cv
    video = video[:, :, ::-1]  # RGB -> BGR
    image = cv.CreateImageHeader((video.shape[1], video.shape[0]),
                                 cv.IPL_DEPTH_8U,
                                 3)
    cv.SetData(image, video.tostring(),
               video.dtype.itemsize * 3 * video.shape[1])
    return image
Example #3
Source File: faces.py    From yournextrepresentative with GNU Affero General Public License v3.0 5 votes vote down vote up 
def detectFaces(im):
    # This function takes a PIL image and finds the patterns defined in the
    # haarcascade function modified from: http://www.lucaamore.com/?p=638

    # Convert a PIL image to a greyscale cv image
    # from: http://pythonpath.wordpress.com/2012/05/08/pil-to-opencv-image/
    im = im.convert('L')
    cv_im = cv.CreateImageHeader(im.size, cv.IPL_DEPTH_8U, 1)
    cv.SetData(cv_im, im.tobytes(), im.size[0])

    # variables
    min_size = (20, 20)
    haar_scale = 1.1
    min_neighbors = 3
    haar_flags = 0

    # Equalize the histogram
    cv.EqualizeHist(cv_im, cv_im)

    # Detect the faces
    faces = cv.HaarDetectObjects(
        cv_im, faceCascade, cv.CreateMemStorage(0),
        haar_scale, min_neighbors, haar_flags, min_size
        )

    return faces
Example #4
Source File: characters_center.py    From captchacker2 with GNU General Public License v3.0 5 votes vote down vote up 
def process_file(filenameIN, WIDTH = 31, HEIGHT = 31):
    
    print "processing file: "+ filenameIN
    if not (os.path.exists(filenameIN)):
        print "file not found. Aborting."
        return
    else :
        srcImg = cv.LoadImage(filenameIN,0)
        res = cv.CreateImage( (WIDTH, HEIGHT), cv.IPL_DEPTH_8U, 1 )
        cv.Set(res, 255)
        xmin=WIDTH
        xmax=0
        ymin=HEIGHT
        ymax=0
        for i in range(srcImg.width):
            for j in range(srcImg.height):
                #print "xmax"
                #print cv.Get2D(srcImg, j, i)
                if cv.Get2D(srcImg, j, i)[0] == 0.0 :
                    #print "xin"
                    if i<xmin:
                        xmin = i
                    if i>xmax:
                        xmax = i
                    if j<ymin:
                        ymin=j
                    if j>ymax:
                        ymax=j
        
        offsetx = (WIDTH - (xmax-xmin))/2
        offsety = (HEIGHT - (ymax-ymin))/2
        #print 'WIDTH',WIDTH,"offset",offsety,offsetx
        for i in range(xmax-xmin):
            for j in range(ymax-ymin):
                if ((offsety+j>0) and (offsety+j<res.height) and (offsetx+i>0) and (offsetx+i<res.width)):
                    #print "haha"
                    cv.Set2D(res, offsety+j, offsetx+i, cv.Get2D(srcImg, ymin+j, xmin+i))

        cv.SaveImage(filenameIN, res)
Example #5
Source File: demo_cv_thresh_sweep.py    From SimpleCV2 with BSD 3-Clause "New" or "Revised" License 5 votes vote down vote up 
def disp_thresh(lower, upper):
    depth, timestamp = freenect.sync_get_depth()
    depth = 255 * np.logical_and(depth > lower, depth < upper)
    depth = depth.astype(np.uint8)
    image = cv.CreateImageHeader((depth.shape[1], depth.shape[0]),
                                 cv.IPL_DEPTH_8U,
                                 1)
    cv.SetData(image, depth.tostring(),
               depth.dtype.itemsize * depth.shape[1])
    cv.ShowImage('Depth', image)
    cv.WaitKey(10)
Example #6
Source File: demo_cv_threshold.py    From SimpleCV2 with BSD 3-Clause "New" or "Revised" License 5 votes vote down vote up 
def show_depth():
    global threshold
    global current_depth

    depth, timestamp = freenect.sync_get_depth()
    depth = 255 * np.logical_and(depth >= current_depth - threshold,
                                 depth <= current_depth + threshold)
    depth = depth.astype(np.uint8)
    image = cv.CreateImageHeader((depth.shape[1], depth.shape[0]),
                                 cv.IPL_DEPTH_8U,
                                 1)
    cv.SetData(image, depth.tostring(),
               depth.dtype.itemsize * depth.shape[1])
    cv.ShowImage('Depth', image)