def test_tiffdata(): d = TiffData(rel_path("../data/flybrain.tif")) m = DataModel(d) print(m) for pos in range(m.sizeT()): print(pos) print((np.mean(m[pos])))
def test_spimdata(): d = SpimData(rel_path("../data/spimdata")) m = DataModel(d) print(m) for pos in range(m.sizeT()): print(pos) print(np.mean(m[pos])) return m
def test_numpydata(): d = NumpyData(np.ones((10, 100, 100, 100))) m = DataModel(d) print(m) for pos in range(m.sizeT()): print(pos) print(np.mean(m[pos]))
def test_tiffdata(): d = TiffData(rel_path("../data/flybrain.tif")) m = DataModel(d) print("thread is running: ", m.dataLoadThread.isRunning()) print(m) for pos in range(m.sizeT()): print(pos) print((np.mean(m[pos]))) time.sleep(.1)
def test_rawdata(): d = RawData(rel_path("../data/raw_64_65_66.raw"), shape=(1, 66, 65, 64), dtype=np.uint16) print(d.size()) m = DataModel(d) print(m) for pos in range(m.sizeT()): print(pos) print((np.mean(m[pos])))