def testDetectCircleParallel(self):
"""A test which executes a full workflow on image containing a white circle in the center of an black image in
parallel
"""
# generate circle image
w, h = 2000, 2000
image = np.zeros((w, h, 3), dtype="uint8")
image = draw_circle(image, 750, (1000, 1000), [129, 129, 129])
# build workflow
builder = SLDCWorkflowBuilder()
builder.set_n_jobs(2)
builder.set_segmenter(CircleSegmenter())
builder.add_catchall_classifier(CircleClassifier())
builder.set_parallel_dc(True)
workflow = builder.get()
# process image
workflow_info = workflow.process(NumpyImage(image))
# Check results
self.assertEqual(len(workflow_info.polygons), 1)
# Check circle
polygon = workflow_info.polygons[0]
self.assertEqual(
relative_error(polygon.area, np.pi * 750 * 750) <= 0.005, True)
self.assertEqual(
relative_error(polygon.centroid.x, 1000) <= 0.005, True)
self.assertEqual(
relative_error(polygon.centroid.y, 1000) <= 0.005, True)
assert_array_equal(workflow_info.labels, [1])
assert_array_almost_equal(workflow_info.probas, [1.0])
assert_array_equal(workflow_info.dispatches, ["catchall"])
# check other information
timing = workflow_info.timing
self.assertEqual(
timing.get_phases_hierarchy(), {
"workflow.sldc": {
"detect": {
"load": None,
"segment": None,
"locate": None
},
"merge": None,
"dispatch_classify": {
"dispatch": None,
"classify": None
}
}
})
def testSLDCWorkflowWithOneShotDispatcher(self):
# pre build components
segmenter = DumbSegmenter()
dispatcher = DumbDispatcher()
classifier = DumbClassifier()
rule = DumbRule()
logger = StandardOutputLogger(Logger.DEBUG)
builder = SLDCWorkflowBuilder()
builder.set_tile_size(512, 768)
builder.set_overlap(3)
builder.set_distance_tolerance(5)
builder.set_n_jobs(5)
builder.set_logger(logger)
builder.set_parallel_dc(True)
builder.set_tile_builder(None)
with self.assertRaises(MissingComponentException):
builder.get()
builder.set_segmenter(segmenter)
with self.assertRaises(MissingComponentException):
builder.get()
builder.set_default_tile_builder()
with self.assertRaises(MissingComponentException):
builder.get()
builder.set_one_shot_dispatcher(dispatcher, {"default": classifier})
with self.assertRaises(InvalidBuildingException):
builder.add_classifier(rule, classifier, dispatching_label="default")
with self.assertRaises(InvalidBuildingException):
builder.add_catchall_classifier(classifier, dispatching_label="default")
workflow = builder.get()
self.assertIsInstance(workflow, SLDCWorkflow)
self.assertEqual(workflow._segmenter, segmenter)
self.assertEqual(workflow._n_jobs, 5)
self.assertEqual(workflow._tile_overlap, 3)
self.assertEqual(workflow._tile_max_height, 512)
self.assertEqual(workflow._tile_max_width, 768)
self.assertEqual(workflow.logger, logger)
self.assertIsInstance(workflow._tile_builder, DefaultTileBuilder)
self.assertEqual(workflow._dispatch_classifier._dispatcher, dispatcher)
self.assertEqual(len(workflow._dispatch_classifier._classifiers), 1)
self.assertEqual(workflow._dispatch_classifier._classifiers[0], classifier)
def testDetectCircleParallel(self):
"""A test which executes a full workflow on image containing a white circle in the center of an black image in
parallel
"""
# generate circle image
w, h = 2000, 2000
image = np.zeros((w, h, 3), dtype="uint8")
image = draw_circle(image, 750, (1000, 1000), [129, 129, 129])
# build workflow
builder = SLDCWorkflowBuilder()
builder.set_n_jobs(2)
builder.set_segmenter(CircleSegmenter())
builder.add_catchall_classifier(CircleClassifier())
builder.set_parallel_dc(True)
workflow = builder.get()
# process image
workflow_info = workflow.process(NumpyImage(image))
# Check results
self.assertEqual(len(workflow_info.polygons), 1)
# Check circle
polygon = workflow_info.polygons[0]
self.assertEqual(relative_error(polygon.area, np.pi * 750 * 750) <= 0.005, True)
self.assertEqual(relative_error(polygon.centroid.x, 1000) <= 0.005, True)
self.assertEqual(relative_error(polygon.centroid.y, 1000) <= 0.005, True)
assert_array_equal(workflow_info.labels, [1])
assert_array_almost_equal(workflow_info.probas, [1.0])
assert_array_equal(workflow_info.dispatches, ["catchall"])
# check other information
timing = workflow_info.timing
self.assertEqual(timing.get_phases_hierarchy(), {"workflow.sldc": {
"detect": {"load": None, "segment": None, "locate": None},
"merge": None,
"dispatch_classify": {"dispatch": None, "classify": None}
}})