def testAdjustPositiveHue(self):
x_shape = [2, 2, 3]
x_data = [0, 5, 13, 54, 135, 226, 37, 8, 234, 90, 255, 1]
x_np = np.array(x_data, dtype=np.uint8).reshape(x_shape)
delta = 0.25
y_data = [13, 0, 11, 226, 54, 221, 234, 8, 92, 1, 217, 255]
y_np = np.array(y_data, dtype=np.uint8).reshape(x_shape)
with self.test_session():
x = constant_op.constant(x_np, shape=x_shape)
y = image_ops.adjust_hue(x, delta)
y_tf = y.eval()
self.assertAllEqual(y_tf, y_np)
def testAdjustPositiveHue(self):
x_shape = [2, 2, 3]
x_data = [0, 5, 13, 54, 135, 226, 37, 8, 234, 90, 255, 1]
x_np = np.array(x_data, dtype=np.uint8).reshape(x_shape)
delta = 0.25
y_data = [13, 0, 11, 226, 54, 221, 234, 8, 92, 1, 217, 255]
y_np = np.array(y_data, dtype=np.uint8).reshape(x_shape)
with self.test_session():
x = constant_op.constant(x_np, shape=x_shape)
y = image_ops.adjust_hue(x, delta)
y_tf = y.eval()
self.assertAllEqual(y_tf, y_np)