def test_intensity_range_float():
image = np.array([0.1, 0.2], dtype=np.float64)
input_and_expected = [('image', [0.1, 0.2]), ('dtype', [-1, 1]),
((0.3, 0.4), [0.3, 0.4])]
for range_values, expected_values in input_and_expected:
out = intensity_range(image, range_values=range_values)
yield assert_array_equal, out, expected_values
def test_intensity_range_uint8():
image = np.array([0, 1], dtype=np.uint8)
input_and_expected = [('image', [0, 1]), ('dtype', [0, 255]),
((10, 20), [10, 20])]
for range_values, expected_values in input_and_expected:
out = intensity_range(image, range_values=range_values)
yield assert_array_equal, out, expected_values
def test_intensity_range_uint8():
image = np.array([0, 1], dtype=np.uint8)
input_and_expected = [('image', [0, 1]),
('dtype', [0, 255]),
((10, 20), [10, 20])]
for range_values, expected_values in input_and_expected:
out = intensity_range(image, range_values=range_values)
yield assert_array_equal, out, expected_values
def test_intensity_range_float():
image = np.array([0.1, 0.2], dtype=np.float64)
input_and_expected = [('image', [0.1, 0.2]),
('dtype', [-1, 1]),
((0.3, 0.4), [0.3, 0.4])]
for range_values, expected_values in input_and_expected:
out = intensity_range(image, range_values=range_values)
yield assert_array_equal, out, expected_values
def test_intensity_range_clipped_float():
image = np.array([0.1, 0.2], dtype=np.float64)
out = intensity_range(image, range_values='dtype', clip_negative=True)
assert_array_equal(out, (0, 1))
def test_intensity_range_float(test_input, expected):
image = np.array([0.1, 0.2], dtype=np.float64)
out = intensity_range(image, range_values=test_input)
assert_array_equal(out, expected)
def test_intensity_range_uint8(test_input, expected):
image = np.array([0, 1], dtype=np.uint8)
out = intensity_range(image, range_values=test_input)
assert_array_equal(out, expected)
def test_intensity_range_clipped_float():
image = np.array([0.1, 0.2], dtype=np.float64)
out = intensity_range(image, range_values='dtype', clip_negative=True)
assert_array_equal(out, (0, 1))
def test_intensity_range_float(test_input, expected):
image = np.array([0.1, 0.2], dtype=np.float64)
out = intensity_range(image, range_values=test_input)
assert_array_equal(out, expected)
def test_intensity_range_uint8(test_input, expected):
image = np.array([0, 1], dtype=np.uint8)
out = intensity_range(image, range_values=test_input)
assert_array_equal(out, expected)
