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celinelee
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python_fn_calls

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simple_test_accuracy(self, img, img_meta)
self.extract_feat(img)
detach()
bbox2roi(gts)
self.refine_head.get_scores(roi_feats)
return (cls_score > 0.5)
float()
sum()
rois.size(0)
simple_test(self, img, img_meta, rescale=False, return_id=False)
self.extract_feat(img)
self.bbox_head(x)
self.bbox_head.get_bboxes_features(*bbox_inputs)
self.bbox_head.get_bboxes(*bbox_inputs, no_strides=False)
detach()
bbox2result(det_bboxes, det_labels, self.bbox_head.num_classes)
self.test_cfg.get('rcnn', None)
torch.tensor(bbox)
float()
cuda()
bbox2roi(bbox_list)
self.refine_head.get_scores(roi_feats)
self.refine_head.suppress_boxes(rois, cls_score, img_meta, cfg=refine_cfg)
self.refine_head.combine_scores(bbox_list, cls_score)
bbox2result(det_bboxes, det_labels, self.bbox_head.num_classes)
foward_features(self, features)
self.bbox_head.get_bboxes(*features)
bbox2result(det_bboxes, det_labels, self.bbox_head.num_classes)
digitalio.DigitalInOut(board.D5)
digitalio.DigitalInOut(board.D6)
digitalio.DigitalInOut(board.RFM9X_CS)
digitalio.DigitalInOut(board.RFM9X_RST)
digitalio.DigitalInOut(board.D13)
busio.SPI(board.SCK, MOSI=board.MOSI, MISO=board.MISO)
adafruit_rfm9x.RFM9x(spi, CS, RESET, RADIO_FREQ_MHZ)
power (in dB)
rfm9x.send(bytes("Hello world!\r\n", "utf-8")
print("Sent Hello World message!")
print("Waiting for packets...")
rfm9x.receive()
rfm9x.receive(timeout=5.0)
print("Received nothing! Listening again...")
print("Received (raw bytes)
format(packet)
str(packet, "ascii")
print("Received (ASCII)
format(packet_text)
RSSI (signal strength)
print("Received signal strength: {0} dB".format(rssi)
patient(s)
group(s)
calculate_outcome_for_all(args)
arrays (for multiple groups of patients)
haemorrhage (ICH)
occlusions (nLVO)
occlusions (LVO)
patients (np array)
al (2014)
al. (2016)
__init__(self)
all (np array)
pd.DataFrame()
self._calculate_outcome_for_ICH(mimic.shape)
np.full(nlvo.shape, 0.4622)
self._calculate_thrombolysis_outcome_for_nlvo(onset_to_needle)
np.full(nlvo.shape, 0.1328)
self._calculate_thrombolysis_outcome_for_lvo(onset_to_needle)
self._calculate_thrombectomy_outcome_for_lvo(onset_to_puncture)
pd.DataFrame()
results.sum(axis=1)
_calculate_outcome_for_ICH(array_shape)
haemorrhage (ICH)
al. (2018)
Neuro (in press)
ICH (np array)
np.zeros(array_shape)
_calculate_outcome_for_stroke_mimics(array_shape)
al. (2018)
Neuro (in press)
mimiccs (np array)
np.zeros(array_shape)
_calculate_thrombectomy_outcome_for_lvo(self, onset_to_puncture)
thrombectomy (np array)
np.exp(np.log(odds_good_max)
np.log(odds_good_max)
np.log(odds_good_min)
_calculate_thrombolysis_outcome_for_lvo(self, onset_to_needle)
thrombolysis (np array)
np.exp(np.log(odds_good_max)
np.log(odds_good_max)
np.log(odds_good_min)
_calculate_thrombolysis_outcome_for_nlvo(self, onset_to_needle)
thrombolysis (np array)
np.exp(np.log(odds_good_max)
np.log(odds_good_max)
np.log(odds_good_min)
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url(r'^packages/$','packages.index', name='djangopypi-package-index')
url(r'^simple/$','packages.simple_index', name='djangopypi-package-index-simple')
url(r'^search/$','packages.search',name='djangopypi-search')