def test_image_io_vector(resx, resy, comp, ext, dt):
shape = (resx, resy)
pixel = np.random.rand(*shape, comp).astype(to_numpy_type(dt))
pixel_t = ti.Vector.field(comp, dt, shape)
pixel_t.from_numpy(pixel)
fn = test_utils.make_temp_file(suffix='.' + ext)
ti.imwrite(pixel_t, fn)
pixel_r = (ti.imread(fn).astype(to_numpy_type(dt)) + 0.5) / 256.0
assert np.allclose(pixel_r, pixel, atol=2e-2)
os.remove(fn)
def test_image_io_uint(resx, resy, comp, ext, dt):
shape = (resx, resy)
np_type = to_numpy_type(dt)
# When saving to disk, pixel data will be truncated into 8 bits.
# Be careful here if you want lossless saving.
np_max = np.iinfo(np_type).max // 256
pixel = np.random.randint(256, size=(*shape, comp), dtype=np_type) * np_max
pixel_t = ti.Vector.field(comp, dt, shape)
pixel_t.from_numpy(pixel)
fn = test_utils.make_temp_file(suffix='.' + ext)
ti.imwrite(pixel_t, fn)
pixel_r = ti.imread(fn).astype(np_type) * np_max
assert (pixel_r == pixel).all()
os.remove(fn)
def test_image_io(resx, resy, comp, ext, is_field, dt):
if comp != 1:
shape = (resx, resy, comp)
else:
shape = (resx, resy)
if is_field:
pixel_t = ti.field(dt, shape)
pixel = np.random.randint(256, size=shape, dtype=to_numpy_type(dt))
if is_field:
pixel_t.from_numpy(pixel)
fn = test_utils.make_temp_file(suffix='.' + ext)
if is_field:
ti.imwrite(pixel_t, fn)
else:
ti.imwrite(pixel, fn)
pixel_r = ti.imread(fn)
if comp == 1:
# from (resx, resy, 1) to (resx, resy)
pixel_r = pixel_r.reshape((resx, resy))
assert (pixel_r == pixel).all()
os.remove(fn)
def test_save_image_without_window(dtype):
n = 255
pixels = ti.field(dtype=dtype, shape=(n, n, 3))
@ti.kernel
def paint(c: dtype):
for i, j, k in pixels:
pixels[i, j, k] = c
gui = ti.GUI("Test", res=(n, n), show_gui=False)
for i in [0, 32, 64, 128, 255]:
if dtype is ti.u8:
paint(i)
else:
paint(i * 1.0 / n)
gui.set_image(pixels)
image_path = test_utils.make_temp_file(suffix='.png')
gui.show(image_path)
image = ti.imread(image_path)
delta = (image - i).sum()
assert delta == 0, "Expected image difference to be 0 but got {} instead.".format(
delta)