Example #1
0
def displacement_field(stdout, image_dir, adaptive=False):
    results = [int(line[1:]) for line in stdout.split('\n') if len(line) > 0 and line[0] == '$']
    results = [(results[i], Displacements(*results[i+1:i+3])) for i in range(0, len(results), 3)]
    disp_map = dict(results)
    im_pair = get_image_pair(image_dir)

    if not adaptive:
        num_rows = frame_rows(im_pair.A)
        num_cols = frame_cols(im_pair.A)
        V = np.zeros([num_rows, num_cols])
        U = np.zeros([num_rows, num_cols])
        for frame_row in range(num_rows):
            for frame_col in range(num_cols):
                pixel_ndx = get_px_ndx(im_pair.A, frame_row, frame_col)
                U[frame_row][frame_col] = disp_map[pixel_ndx].u - 4
                V[frame_row][frame_col] = disp_map[pixel_ndx].v - 4
        X = np.array(range(num_cols)) * window_spacing + frame_size / 2
        Y = np.array(range(num_rows)) * window_spacing + frame_size / 2
    else:
        ndxs = np.array(disp_map.keys())
        U = np.array([disp_map[k].u for k in disp_map]) - 4
        V = np.array([disp_map[k].v for k in disp_map]) - 4
        X = ndxs % im_pair.A.size[0] + frame_size / 2
        Y = ndxs // im_pair.A.size[0] + frame_size / 2

    return X, Y, U, V
Example #2
0
    tb_proc = subprocess.Popen(['./tb'],stdin=subprocess.PIPE, stdout=subprocess.PIPE, cwd='../scemi/sim')

im_pair = get_image_pair(image_dir)
bspec_im_width = int(subprocess.check_output('cat ../bspec/PIVTypes.bsv | grep "ImageWidth;"', shell=True).split(' ')[1])

if bspec_im_width != im_pair.A.size[0]:
    print >> sys.stderr, "WARNING: Image width doesn't match parameters used when compling bspec file. Press Enter to continue anyway."
    raw_input()

tb_proc.stdin.write(str(num_trackers) + '\n')
for im in im_pair:
    for pix in im.convert('L').getdata():
        tb_proc.stdin.write(str(pix) + '\n')
        # print pix
    tb_proc.stdin.write('.\n')
    print '.'


if adaptive:
    coords = pickle.load(open('adaptive_coords.pck', 'rb'))
    for i, pixel_ndx in enumerate(coords):
        tb_proc.stdin.write(str(pixel_ndx) + '\n')
else:
    for frame_row in range(frame_rows(im_pair.A)):
        for frame_col in range(frame_cols(im_pair.A)):
            pixel_ndx = get_px_ndx(im_pair.A, frame_row, frame_col)
            tb_proc.stdin.write(str(pixel_ndx) + '\n')
stdout, stderr = tb_proc.communicate('.\n')
pickle.dump(stdout, open(os.path.join(image_dir, 'stdout.pck'), 'wb'))
parse_and_show(stdout, image_dir, adaptive)