def coverage_ratio(self, clean_keys=[]):
"""
Compute the ratio $area_{convexhull} / area_{imageoverlap}$.
Returns
-------
ratio : float
The ratio $area_{convexhull} / area_{imageoverlap}$
"""
if self.homography is None:
raise AttributeError('A homography has not been computed. Unable to determine image overlap.')
matches = self.matches
# Build up a composite mask from all of the user specified masks
matches, _ = self._clean(clean_keys)
d_idx = matches['destination_idx'].values
keypoints = self.destination.get_keypoint_coordinates(d_idx)
if len(keypoints) < 3:
raise ValueError('Convex hull computation requires at least 3 measures.')
source_geom, proj_geom, ideal_area = self.compute_homography_overlap()
ratio = convex_hull_ratio(keypoints, ideal_area)
return ratio
def coverage_ratio(self, clean_keys=[]):
"""
Compute the ratio $area_{convexhull} / area_{imageoverlap}$.
Returns
-------
ratio : float
The ratio $area_{convexhull} / area_{imageoverlap}$
"""
if self.homography is None:
raise AttributeError(
'A homography has not been computed. Unable to determine image overlap.'
)
matches = self.matches
# Build up a composite mask from all of the user specified masks
if clean_keys:
mask = np.prod([self._mask_arrays[i] for i in clean_keys],
axis=0,
dtype=np.bool)
matches = matches[mask]
d_idx = matches['destination_idx'].values
keypoints = self.destination.keypoints.iloc[d_idx][['x', 'y']].values
if len(keypoints) < 3:
raise ValueError(
'Convex hull computation requires at least 3 measures.')
source_geom, proj_geom, ideal_area = self.compute_homography_overlap()
ratio = convex_hull_ratio(keypoints, ideal_area)
return ratio
def coverage_ratio(self, clean_keys=[]):
"""
Compute the ratio $area_{convexhull} / area_{imageoverlap}$.
Returns
-------
ratio : float
The ratio $area_{convexhull} / area_{imageoverlap}$
"""
if self.homography is None:
raise AttributeError('A homography has not been computed. Unable to determine image overlap.')
matches = self.matches
# Build up a composite mask from all of the user specified masks
if clean_keys:
mask = np.prod([self._mask_arrays[i] for i in clean_keys], axis=0, dtype=np.bool)
matches = matches[mask]
d_idx = matches['destination_idx'].values
keypoints = self.destination.keypoints.iloc[d_idx][['x', 'y']].values
if len(keypoints) < 3:
raise ValueError('Convex hull computation requires at least 3 measures.')
source_geom, proj_geom, ideal_area = self.compute_homography_overlap()
ratio = convex_hull_ratio(keypoints, ideal_area)
return ratio
def coverage_ratio(self, clean_keys=[]):
"""
Compute the ratio $area_{convexhull} / area_{total}$
Returns
-------
ratio : float
The ratio of convex hull area to total area.
"""
ideal_area = self.geodata.pixel_area
if not hasattr(self, '_keypoints'):
raise AttributeError('Keypoints must be extracted already, they have not been.')
matches, mask = self._clean(clean_keys)
keypoints = self._keypoints[mask][['x', 'y']].values
ratio = convex_hull_ratio(keypoints, ideal_area)
return ratio
def coverage_ratio(self, clean_keys=[]):
"""
Compute the ratio $area_{convexhull} / area_{total}$
Returns
-------
ratio : float
The ratio of convex hull area to total area.
"""
ideal_area = self.geodata.pixel_area
if not hasattr(self, '_keypoints'):
raise AttributeError('Keypoints must be extracted already, they have not been.')
matches, mask = self._clean(clean_keys)
keypoints = self._keypoints[mask][['x', 'y']].values
ratio = convex_hull_ratio(keypoints, ideal_area)
return ratio
def coverage_ratio(self, clean_keys=[]):
"""
Compute the ratio $area_{convexhull} / area_{total}$
Returns
-------
ratio : float
The ratio of convex hull area to total area.
"""
ideal_area = self.geodata.pixel_area
if not hasattr(self, '_keypoints'):
raise AttributeError('Keypoints must be extracted already, they have not been.')
if clean_keys:
mask = np.prod([self._mask_arrays[i] for i in clean_keys], axis=0, dtype=np.bool)
keypoints = self._keypoints[mask]
keypoints = self._keypoints[['x', 'y']].values
ratio = convex_hull_ratio(keypoints, ideal_area)
return ratio
def coverage_ratio(self, clean_keys=[]):
"""
Compute the ratio $area_{convexhull} / area_{total}$
Returns
-------
ratio : float
The ratio of convex hull area to total area.
"""
ideal_area = self.handle.pixel_area
if not hasattr(self, 'keypoints'):
raise AttributeError(
'Keypoints must be extracted already, they have not been.')
if clean_keys:
mask = np.prod([self._mask_arrays[i] for i in clean_keys],
axis=0,
dtype=np.bool)
keypoints = self.keypoints[mask]
keypoints = self.keypoints[['x', 'y']].values
ratio = convex_hull_ratio(keypoints, ideal_area)
return ratio