def keypoints(self, kps):
session = Session()
io_keypoints.to_hdf(self.keypoint_file, keypoints=kps)
res = session.query(Keypoints).filter(getattr(Keypoints,'image_id') == self['node_id']).first()
if res is None:
_ = self.keypoint_file
res = self._from_db(Keypoints)
res.nkeypoints = len(kps)
session.commit()
def descriptors(self, desc):
if isinstance(desc, np.array):
io_keypoints.to_hdf(self.keypoint_file, descriptors=desc)
def descriptors(self, desc):
io_keypoints.to_hdf(self.keypoint_file, descriptors=desc)
keypoints = pd.concat([keypoints, gnd], axis=1)
footprint_latlon = footprint.generate_latlon_footprint(camera)
footprint_latlon = footprint_latlon.ExportToWkt()
if footprint_latlon:
footprint_latlon = WKTElement(footprint_latlon, srid=config.srid)
footprint_bodyfixed = footprint.generate_bodyfixed_footprint(camera)
footprint_bodyfixed = footprint_bodyfixed.ExportToWkt()
if footprint_bodyfixed:
footprint_bodyfixed = WKTElement(footprint_bodyfixed)
# Write the correspondences to disk
outdir = kwargs.pop('outdir')
outpath = create_output_path(ds, outdir)
to_hdf(keypoints, descriptors, outpath)
# Default response
data = {'success':False,'path':input_file}
# Connect to the DB and write
maxretries = 3
# Create the DB objs
camera = pickle.dumps(camera, 2)
c = Cameras(camera=camera)
k = Keypoints(path=outpath, nkeypoints=len(keypoints))
img = Images(name=ds.file_name, path=input_file,
footprint_latlon=footprint_latlon,
cameras=c,keypoints=k)