コード例 #1
0
ファイル: 002_micropolygon.py プロジェクト: bracket/handsome
def main():
    colors = {
        'red'   : '#f00',
        'white' : '#fff',
    }

    float_colors = { }

    for key, value in colors.items():
        color = parse_color(value)
        colors[key] = np.array([ color ], dtype=Pixel)
        float_colors[key] = np.array(tuple(c / 255. for c in color), dtype=FloatPixel)

    image = Tile((0, 0), (512, 512), sample_rate=4, dtype=FloatPixel)
    image.buffer[:,:] = float_colors['white']

    tile_width, tile_height = image.buffer.shape

    mesh = MicropolygonMesh((1,1))
    mesh_width, mesh_height = mesh.buffer.shape

    margin = 16
    width = 128
    right  = image.shape[0]
    top    = image.shape[1]


    buffer = np.array([
            [
                (right - margin - width, top - margin, 1, 1, 1.5, 0, 0, 1),
                (right - margin        , top - margin, 1, 1, 0  , 0, 0, 1)
            ],
            [
                (margin        , margin, 1, 1, .5, 0, 0, 1),
                (margin + width, margin, 1, 1, 0 , 0, 0, 1)
            ],
        ],
        dtype=np.float32
    )

    mesh.buffer.view(dtype=(np.float32, 8))[:] = buffer

    fill_micropolygon_mesh(
        mesh_width, mesh_height,
        generate_numpy_begin(mesh.buffer),
        tile_width, tile_height,
        generate_numpy_begin(image.coordinate_image),
        generate_numpy_begin(image.buffer)
    )

    buffer = array_view(image.downsample(1))
    buffer = np.clip(buffer, 0., 1.)
    buffer = (255. * buffer).astype(dtype=np.uint8)

    save_array_as_image(pixel_view(buffer), 'render/002_micropolygon.tiff', 'RGBA')
コード例 #2
0
ファイル: 004_star.py プロジェクト: bracket/handsome
def render_mesh(mesh):
    cache = TileCache((16, 16), 4, FloatPixel)

    mesh_bounds = mesh.outer_bounds
    mesh_rows, mesh_columns = mesh.buffer.shape

    for tile in cache.get_tiles_for_bounds(mesh_bounds):
        tile_rows, tile_columns = tile.buffer.shape

        fill_micropolygon_mesh(
            mesh_rows, mesh_columns,
            generate_numpy_begin(mesh.buffer),
            generate_numpy_begin(mesh.bounds),
            tile_rows, tile_columns,
            tile.bounds,
            generate_numpy_begin(tile.coordinate_image),
            generate_numpy_begin(tile.buffer)
        )

    return cache
コード例 #3
0
ファイル: test_c.py プロジェクト: bracket/handsome
def test_tile_render():
    from handsome.MicropolygonMesh import MicropolygonMesh
    from handsome.Tile import Tile

    mesh = MicropolygonMesh((1, 1))

    mesh.buffer[:,:]['position'] = [
        [ (16, 16, 1, 1), (32, 16, 1, 1) ],
        [ (0, 0, 1, 1),   (16, 0, 1, 1) ],
    ]

    red    = color(1, 0, 0)
    green  = color(0, 1, 0)
    orange = color(1, 1, 0)
    black  = color(0, 0, 0, 1)
    zero   = color(0, 0, 0, 0)

    mesh.buffer[:,:]['color'] = [
        [ green, orange, ],
        [ black, red, ],
    ]

    mesh_rows, mesh_columns = mesh.buffer.shape

    tile = Tile((0,0), (32, 16), 1, FloatPixel)

    tile_rows, tile_columns = tile.buffer.shape

    fill_micropolygon_mesh(
        mesh_rows, mesh_columns,
        generate_numpy_begin(mesh.buffer),
        generate_numpy_begin(mesh.bounds),
        tile_rows, tile_columns,
        tile.bounds,
        generate_numpy_begin(tile.coordinate_image),
        generate_numpy_begin(tile.buffer),
    )

    buffer = array_view(tile.buffer)
    rows, columns, channels = buffer.shape

    def image(x, y):
        return buffer[rows - 1 - y, x]

    low, high = 1/16, 15/16

    expected = [
        ((0, 0),   color(0, 0, 0, 1)),
        ((15, 0),  color(15/16, 0, 0, 1)),
        ((16, 0),  color(0, 0, 0, 0)),
        ((31, 0),  color(0, 0, 0, 0)),

        ((0, 8),   color(0, 0, 0, 0)),
        ((8,8),    color(0, 1/2, 0, 1)),
        ((16,8),   color(1/2, 1/2, 0, 1)),
        ((31, 8),  color(0, 0, 0, 0)),

        ((0, 15),  color(0, 0, 0, 0)),
        ((15, 15), low * black + high * green),
        ((30, 15), low * (low * black + high * green) + high * (low * red + high * orange)),
    ]

    for index, c in expected:
        assert points_are_close(image(*index), c)