def test_10_01_scaling(self):
'''Test loading an image scaled and unscaled'''
folder = "loaddata"
file_name = "1-162hrh2ax2.tif"
path = make_12_bit_image(folder, file_name, (22, 18))
csv_text = ("Image_PathName_MyFile,Image_FileName_MyFile\n"
"%s,%s\n" % os.path.split(path))
c0_image = []
for rescale in (False, True):
pipeline, module, filename = self.make_pipeline(csv_text)
try:
module.rescale.value = rescale
def callback(workspace):
imgset = workspace.image_set
image = imgset.get_image("MyFile")
pixels = image.pixel_data
c0_image.append(pixels.copy())
c0 = C0()
c0.callback = callback
c0.module_num = 2
pipeline.add_module(c0)
pipeline.run()
finally:
os.remove(filename)
unscaled, scaled = c0_image
np.testing.assert_almost_equal(unscaled * 65535. / 4095., scaled)
def test_10_01_scaling(self):
'''Test loading an image scaled and unscaled'''
folder = "loaddata"
file_name = "1-162hrh2ax2.tif"
path = make_12_bit_image(folder, file_name, (22, 18))
csv_text = ("Image_PathName_MyFile,Image_FileName_MyFile\n"
"%s,%s\n" % os.path.split(path))
c0_image = []
for rescale in (False, True):
pipeline, module, filename = self.make_pipeline(csv_text)
try:
module.rescale.value = rescale
def callback(workspace):
imgset = workspace.image_set
image = imgset.get_image("MyFile")
pixels = image.pixel_data
c0_image.append(pixels.copy())
c0 = C0()
c0.callback = callback
c0.module_num = 2
pipeline.add_module(c0)
pipeline.run()
finally:
os.remove(filename)
unscaled, scaled = c0_image
np.testing.assert_almost_equal(unscaled * 65535. / 4095., scaled)
def setUpClass(cls):
maybe_download_sbs()
cls.test_filename = "1-162hrh2ax2.tif"
cls.test_folder = "loadsingleimage"
cls.test_shape = (27, 18)
path = make_12_bit_image(cls.test_folder, cls.test_filename, (27, 18))
cls.test_path = os.path.dirname(path)
with open(path, "rb") as fd:
cls.test_md5 = hashlib.md5(fd.read()).hexdigest()
def setUpClass(cls):
maybe_download_sbs()
cls.test_filename = "1-162hrh2ax2.tif"
cls.test_folder = "loadsingleimage"
cls.test_shape = (27, 18)
path = make_12_bit_image(cls.test_folder, cls.test_filename, (27, 18))
cls.test_path = os.path.dirname(path)
with open(path, "rb") as fd:
cls.test_md5 = hashlib.md5(fd.read()).hexdigest()
