def test_11_02_invert_binary_invert(self):
#
# Regression for issue #1329
#
r = np.random.RandomState()
r.seed(1102)
m = cpmeas.Measurements()
pixel_data = r.uniform(size=(20, 20)) > .5
m.add("inputimage", cpi.Image(pixel_data))
module = I.ImageMath()
module.images[0].image_name.value = "inputimage"
module.output_image_name.value = "intermediateimage"
module.operation.value = I.O_INVERT
module.module_num = 1
pipeline = cpp.Pipeline()
pipeline.add_module(module)
module = I.ImageMath()
module.images[0].image_name.value = "intermediateimage"
module.output_image_name.value = "outputimage"
module.operation.value = I.O_INVERT
module.module_num = 2
pipeline = cpp.Pipeline()
workspace = cpw.Workspace(pipeline, module, m, None, m, None)
for module in pipeline.modules():
module.run(workspace)
np.testing.assert_array_equal(
pixel_data, m.get_image("inputimage").pixel_data > .5)
def test_11_01_add_and_do_nothing(self):
#
# Regression for issue #1333 - add one, do nothing, input image
# is changed
#
r = np.random.RandomState()
r.seed(1101)
m = cpmeas.Measurements()
pixel_data = r.uniform(size=(20, 20))
m.add("inputimage", cpi.Image(pixel_data))
module = I.ImageMath()
module.images[0].image_name.value = "inputimage"
module.output_image_name.value = "outputimage"
module.operation.value = I.O_NONE
module.addend.value = 0.5
module.module_num = 1
pipeline = cpp.Pipeline()
pipeline.add_module(module)
workspace = cpw.Workspace(pipeline, module, m, None, m, None)
module.run(workspace)
np.testing.assert_array_almost_equal(
pixel_data, m.get_image("inputimage").pixel_data)
def run_imagemath(self, images, modify_module_fn=None, measurement=None):
'''Run the ImageMath module, returning the image created
images - a list of dictionaries. The dictionary has keys:
pixel_data - image pixel data
mask - mask for image
cropping - cropping mask for image
modify_module_fn - a function of the signature, fn(module)
that allows the test to modify the module.
measurement - an image measurement value
'''
image_set_list = cpi.ImageSetList()
image_set = image_set_list.get_image_set(0)
module = I.ImageMath()
module.module_num = 1
for i, image in enumerate(images):
pixel_data = image['pixel_data']
mask = image.get('mask', None)
cropping = image.get('cropping', None)
if i >= 2:
module.add_image()
name = 'inputimage%s' % i
module.images[i].image_name.value = name
img = cpi.Image(pixel_data, mask=mask, crop_mask=cropping)
image_set.add(name, img)
module.output_image_name.value = 'outputimage'
if modify_module_fn is not None:
modify_module_fn(module)
pipeline = cpp.Pipeline()
pipeline.add_module(module)
measurements = cpmeas.Measurements()
if measurement is not None:
measurements.add_image_measurement(MEASUREMENT_NAME,
str(measurement))
workspace = cpw.Workspace(pipeline, module, image_set, cpo.ObjectSet(),
measurements, image_set_list)
module.run(workspace)
return image_set.get_image('outputimage')