def test_from_stream(self):
path = osp.join(TEST_DIR, 'Leeds_ccw.dcm')
with open(path, 'rb') as f:
s = io.BytesIO(f.read())
phan = LeedsTOR(s)
phan.analyze()
self.assertIsInstance(phan, LeedsTOR)
def test_results_data(self):
phan = LeedsTOR.from_demo_image()
phan.analyze()
data = phan.results_data()
self.assertIsInstance(data, PlanarResult)
self.assertEqual(
data.median_contrast,
np.median([roi.contrast for roi in phan.low_contrast_rois]))
data_dict = phan.results_data(as_dict=True)
self.assertIsInstance(data_dict, dict)
self.assertEqual(len(data_dict), 8)
self.assertIn('pylinac_version', data_dict)
def OpenDialog(self, textparam):
options = QFileDialog.Options()
options |= QFileDialog.DontUseNativeDialog
fileName, _ = QFileDialog.getOpenFileName(
self,
"QFileDialog.getOpenFileName()",
"",
"All Files (*);;DICOM Files (*.dcm)",
options=options)
if fileName:
leeds = LeedsTOR(fileName)
leeds.analyze(low_contrast_threshold=0.01,
hi_contrast_threshold=0.5)
leeds.plot_analyzed_image(low_contrast=True)
leeds.publish_pdf(fileName.title() + '.pdf',
metadata={
"name": textparam,
"unit": "TrueBeam STX"
})
def run_leeds(path):
"""Function to pass to the process pool executor to process Leeds phantom images."""
leeds = LeedsTOR(path)
return process_phantom(leeds, path)
def test_demo(self):
LeedsTOR.run_demo() # shouldn't raise
def test_demo(self):
LeedsTOR.run_demo() # shouldn't raise
def test_from_file_object(self):
path = osp.join(TEST_DIR, 'Leeds_ccw.dcm')
with open(path, 'rb') as f:
phan = LeedsTOR(f)
phan.analyze()
self.assertIsInstance(phan, LeedsTOR)
def HightContrast(self):
leeds = LeedsTOR(d.pathDir)
leeds.plot_analyzed_image(low_contrast=False)
leeds.publish_pdf(d.pathDir + '\\resultHightContrast.pdf')
