def detectExtractSearch(self,
im,
search_gallery='default',
max_results=3,
search_threshold=None,
best=False,
threshold=None,
min_size=None,
run_async=False,
source=None,
subject_id=None,
frame=None):
request = fsd.DetectExtractSearchRequest()
request.detect_request.CopyFrom(fsd.DetectRequest())
request.extract_request.CopyFrom(fsd.ExtractRequest())
request.search_request.CopyFrom(fsd.SearchRequest())
try:
request.detect_request.image.CopyFrom(pt.image_np2proto(im))
except:
request.detect_request.image.CopyFrom(
pt.image_np2proto(im.asOpenCV2()[:, :, ::-1]))
request.search_request.search_gallery = search_gallery
request.search_request.max_results = max_results
if search_threshold is None:
search_threshold = self.match_threshold
request.search_request.threshold = search_threshold
# Setup the source and subject information.
request.detect_request.source = 'UNKNOWN_SOURCE'
request.detect_request.subject_id = 'UNKNOWN_SUBJECT'
if source is not None:
request.detect_request.source = source
if frame is not None:
request.detect_request.frame = frame
if subject_id is not None:
request.detect_request.subject_id = subject_id
request.detect_request.detect_options.best = best
if threshold == None:
request.detect_request.detect_options.threshold = self.info.detection_threshold
else:
request.detect_request.detect_options.threshold = float(threshold)
if run_async == False:
face_records = self.service_stub.detectExtractSearch(request, None)
elif run_async == True:
self.waitOnResults()
face_records = self.service_stub.detectExtractSearch.future(
request, None)
self.running_async_jobs.append(face_records)
else:
raise ValueError("Unexpected run_async value: %s" % (run_async, ))
return face_records
def detectExtract(self,
im,
best=False,
threshold=None,
min_size=None,
run_async=False,
source=None,
subject_id=None,
frame=None,
downsample=0):
request = fsd.DetectExtractRequest()
request.detect_request.CopyFrom(fsd.DetectRequest())
request.extract_request.CopyFrom(fsd.ExtractRequest())
try:
request.detect_request.image.CopyFrom(
pt.image_np2proto(im,
compression=self.options.compression,
quality=self.options.quality))
except:
request.detect_request.image.CopyFrom(
pt.image_np2proto(im.asOpenCV2()[:, :, ::-1],
compression=self.options.compression,
quality=self.options.quality))
# Setup the source and subject information.
request.detect_request.source = 'UNKNOWN_SOURCE'
request.detect_request.subject_id = 'UNKNOWN_SUBJECT'
if source is not None:
request.detect_request.source = source
if frame is not None:
request.detect_request.frame = frame
if subject_id is not None:
request.detect_request.subject_id = subject_id
request.detect_request.detect_options.best = best
request.detect_request.detect_options.downsample = downsample
if threshold == None:
request.detect_request.detect_options.threshold = self.info.detection_threshold
else:
request.detect_request.detect_options.threshold = float(threshold)
if run_async == False:
face_records = self.service_stub.detectExtract(request, None)
elif run_async == True:
self.waitOnResults()
face_records = self.service_stub.detectExtract.future(
request, None)
self.running_async_jobs.append(face_records)
else:
raise ValueError("Unexpected run_async value: %s" % (run_async, ))
return face_records
