def extract_features_akaze(image, config):
options = csfm.AKAZEOptions()
options.omax = config['akaze_omax']
akaze_descriptor_name = config['akaze_descriptor']
options.descriptor = akaze_descriptor_type(akaze_descriptor_name)
options.descriptor_size = config['akaze_descriptor_size']
options.descriptor_channels = config['akaze_descriptor_channels']
options.process_size = config['feature_process_size']
options.dthreshold = config['akaze_dthreshold']
options.kcontrast_percentile = config['akaze_kcontrast_percentile']
options.use_isotropic_diffusion = config['akaze_use_isotropic_diffusion']
options.target_num_features = config['feature_min_frames']
options.use_adaptive_suppression = config[
'feature_use_adaptive_suppression']
logger.debug('Computing AKAZE with threshold {0}'.format(
options.dthreshold))
t = time.time()
points, desc = csfm.akaze(image, options)
logger.debug('Found {0} points in {1}s'.format(len(points),
time.time() - t))
if config['feature_root']:
if akaze_descriptor_name in ["SURF_UPRIGHT", "MSURF_UPRIGHT"]:
desc = root_feature_surf(desc, partial=True)
elif akaze_descriptor_name in ["SURF", "MSURF"]:
desc = root_feature_surf(desc, partial=False)
points = points.astype(float)
return points, desc
def extract_features_akaze(image, config):
options = csfm.AKAZEOptions()
options.omax = config.get('akaze_omax', 4)
akaze_descriptor_name = config.get('akaze_descriptor', 'MSURF')
options.descriptor = akaze_descriptor_type(akaze_descriptor_name)
options.descriptor_size = config.get('akaze_descriptor_size', 0)
options.descriptor_channels = config.get('akaze_descriptor_channels', 3)
options.process_size = config.get('feature_process_size', -1)
threshold = config.get('akaze_dthreshold', 0.001)
while True:
print 'Computing AKAZE with threshold {0}'.format(threshold)
t = time.time()
options.dthreshold = threshold
points, desc = csfm.akaze(image, options)
print 'Found {0} points in {1}s'.format(len(points), time.time() - t)
if len(points) < config.get('feature_min_frames',
0) and threshold > 0.00001:
threshold = (threshold * 2) / 3
print 'reducing threshold'
else:
print 'done'
break
if config.get('feature_root', False):
if akaze_descriptor_name in ["SURF_UPRIGHT", "MSURF_UPRIGHT"]:
desc = root_feature_surf(desc, partial=True)
elif akaze_descriptor_name in ["SURF", "MSURF"]:
desc = root_feature_surf(desc, partial=False)
points = points.astype(float)
return mask_and_normalize_features(points, desc, image.shape[1],
image.shape[0], config)