本文整理汇总了Python中pylinac.vmat.VMAT.load_images方法的典型用法代码示例。如果您正苦于以下问题:Python VMAT.load_images方法的具体用法?Python VMAT.load_images怎么用?Python VMAT.load_images使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pylinac.vmat.VMAT
的用法示例。
在下文中一共展示了VMAT.load_images方法的3个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: TestGeneral
# 需要导入模块: from pylinac.vmat import VMAT [as 别名]
# 或者: from pylinac.vmat.VMAT import load_images [as 别名]
class TestGeneral(unittest.TestCase):
"""Generic tests for VMAT class."""
def setUp(self):
self.vmat = VMAT()
def test_demo_image_loads(self):
"""Test the that demo images load properly."""
# shouldn't raise
self.vmat.load_demo_image('drgs')
self.vmat.load_demo_image('mlcs')
def test_analyze_without_both_images_loaded(self):
"""Raise an error if both images aren't loaded when analyzing."""
self.assertRaises(AttributeError, self.vmat.analyze, 'mlcs')
self.vmat.load_demo_image('drgs')
self.vmat.analyze('drgs') # shouldn't raise
def test_img_loaded_tags(self):
"""Test the 'is_loaded' type tags."""
self.assertFalse(self.vmat.open_img_is_loaded)
self.assertFalse(self.vmat.dmlc_img_is_loaded)
self.vmat.load_demo_image()
self.assertTrue(self.vmat.open_img_is_loaded)
self.assertTrue(self.vmat.dmlc_img_is_loaded)
def test_number_of_segments(self):
"""Test that the right amount of segments are constructed based on the given test."""
self.vmat.load_demo_image()
self.vmat.analyze('drgs')
self.assertEqual(len(self.vmat.segments), 7)
self.vmat.analyze('mlcs')
self.assertEqual(len(self.vmat.segments), 4)
def test_passing_3_images(self):
"""Test passing the wrong number of images."""
with self.assertRaises(ValueError):
self.vmat.load_images(('', '', ''))
def test_from_urls(self):
urls = ['https://s3.amazonaws.com/assuranceqa-staging/uploads/imgs/DRGS_dmlc.dcm',
'https://s3.amazonaws.com/assuranceqa-staging/uploads/imgs/DRGS_open.dcm']
vmat = VMAT.from_urls(urls)
def test_img_inversion(self):
"""Check that the demo images indeed get inverted."""
self.vmat.load_demo_image()
top_corner_before = self.vmat.image_open.array[:20, :20].mean()
self.vmat._check_img_inversion()
top_corner_after = self.vmat.image_open.array[:20, :20].mean()
self.assertNotEqual(top_corner_before, top_corner_after)
示例2: TestLoading
# 需要导入模块: from pylinac.vmat import VMAT [as 别名]
# 或者: from pylinac.vmat.VMAT import load_images [as 别名]
class TestLoading(TestCase):
"""Tests of the various loading schemas."""
def setUp(self):
self.vmat = VMAT()
def test_load_image(self):
good_name = osp.join(vmat_test_files_dir, 'no_test_type_dmlc.dcm')
bad_name = osp.join(vmat_test_files_dir, 'no_test_or_image_type_1.dcm')
# image type can be determined from a good name
self.vmat.load_image(good_name)
# but not a bad one
with self.assertRaises(ValueError):
self.vmat.load_image(bad_name)
def test_from_urls(self):
urls = ['https://s3.amazonaws.com/assuranceqa-staging/uploads/imgs/DRGS_dmlc.dcm',
'https://s3.amazonaws.com/assuranceqa-staging/uploads/imgs/DRGS_open.dcm']
VMAT.from_urls(urls) # shouldn't raise
def test_passing_3_images(self):
"""Test passing the wrong number of images."""
with self.assertRaises(ValueError):
self.vmat.load_images(('', '', ''))
def test_demo_image_loads(self):
"""Test the that demo images load properly."""
# shouldn't raise
self.vmat.load_demo_image(DRGS)
self.vmat.load_demo_image(DRMLC)
def test_from_zip(self):
path = osp.join(vmat_test_files_dir, 'DRMLC.zip')
v = VMAT.from_zip(path)
v.analyze()
def test_loading_with_bad_names(self):
one = osp.join(vmat_test_files_dir, 'no_test_or_image_type_1.dcm')
two = osp.join(vmat_test_files_dir, 'no_test_or_image_type_2.dcm')
with self.assertRaises(ValueError):
self.vmat.load_images((one, two))
# but will work when everything is specified
self.vmat.load_image(one, OPEN)
self.vmat.load_image(two, DMLC)
self.vmat.analyze(DRMLC)
示例3: TestGeneral
# 需要导入模块: from pylinac.vmat import VMAT [as 别名]
# 或者: from pylinac.vmat.VMAT import load_images [as 别名]
class TestGeneral(TestCase):
"""Generic tests for VMAT class."""
def setUp(self):
self.vmat = VMAT()
def test_analyze_without_both_images_loaded(self):
"""Raise an error if both images aren't loaded when analyzing."""
self.assertRaises(AttributeError, self.vmat.analyze, DRMLC)
self.vmat.load_demo_image('drgs')
self.vmat.analyze('drgs') # shouldn't raise
def test_img_loaded_tags(self):
"""Test the 'is_loaded' type tags."""
self.assertFalse(self.vmat.open_img_is_loaded)
self.assertFalse(self.vmat.dmlc_img_is_loaded)
self.vmat.load_demo_image()
self.assertTrue(self.vmat.open_img_is_loaded)
self.assertTrue(self.vmat.dmlc_img_is_loaded)
def test_img_inversion(self):
"""Check that the demo images indeed get inverted."""
self.vmat.load_demo_image()
top_corner_before = self.vmat.image_open.array[:20, :20].mean()
self.vmat._check_img_inversion()
top_corner_after = self.vmat.image_open.array[:20, :20].mean()
self.assertNotEqual(top_corner_before, top_corner_after)
def test_analyze_without_test_type(self):
dmlc = osp.join(vmat_test_files_dir, 'no_test_type_dmlc.dcm')
opn = osp.join(vmat_test_files_dir, 'no_test_type_open.dcm')
self.vmat.load_images((dmlc, opn))
with self.assertRaises(ValueError):
self.vmat.analyze()
# but will run when test type is passed
self.vmat.analyze('drmlc')
def test_failure_with_tight_tolerance(self):
self.vmat.load_demo_image()
self.vmat.analyze(tolerance=0.1)
self.vmat.return_results()