Commit 271a6c39 authored by Laura, Jason R.'s avatar Laura, Jason R. Committed by Bauck, Kirsten (Contractor) Hailey
Browse files

Fixes regression in point placement

parent 15a21fd1

CHANGELOG.md

+5 −0
Original line number Diff line number Diff line
@@ -33,6 +33,11 @@ heading to indicate that only the bug fixes and security fixes are in the bug fi 
release.

-->

## [Unreleased]

### Added

- Debug logging to `place_points_in_overlap` and `distribute_points_in_geom` to make debugging issues easier.



### Fixed

- Error in `find_interesting_feature` that was mis-using the ROI API. This bug was introduced in 1.2.0 when the ROI API updated.



## [1.2.0]

### Added

autocnet/cg/cg.py

+15 −4
Original line number Diff line number Diff line
@@ -460,6 +460,7 @@ def distribute_points_in_geom(geom, method="classic", 
                              ewpts_func=lambda x: ceil(round(x,1)*5),

                              Session=None,

                              ratio_size=0.1,

                              min_area=0.004,

                              **kwargs):

    """

    Given a geometry, attempt a basic classification of the shape.
@@ -487,10 +488,15 @@ def distribute_points_in_geom(geom, method="classic", 


    ewpts_func : obj

                 Function taking a Number and returning an int

    

    ratio_size : float

                 A number that represent the minimum size the

                 ratio is set at to be considered a sliver.



    min_area : float

               The minimum area, as measured in the project SRID,

               below which points will not be placed and above which

               points will be placed.

    Returns

    -------

    valid : np.ndarray
@@ -523,6 +529,9 @@ def distribute_points_in_geom(geom, method="classic", 
            longid = i

    ratio = short/long

    

    logging.debug(f'Area: {geom.area}')

    logging.debug(f'Ratio: {ratio}')



    ns = False

    ew = False

    valid = []
@@ -536,13 +545,14 @@ def distribute_points_in_geom(geom, method="classic", 
        ew = True



    # Decision Tree

    if ratio < ratio_size and geom.area < 0.01:

        # Class: Slivers - ignore.

    if ratio < ratio_size and geom.area < min_area:

        logging.debug('Ratio check failed.')

        return np.array([])

    elif geom.area <= 0.004 and ratio >= 0.25:

        # Single point at the centroid

    elif geom.area <= min_area and ratio >= ratio_size:

        logging.debug('Placing a single point.')

        valid = single_centroid(geom)

    elif ns==True:

        logging.debug('Placing N/S oriented points.')

        # Class, north/south poly, multi-point

        nspts = nspts_func(long)

        ewpts = ewpts_func(short)
@@ -551,6 +561,7 @@ def distribute_points_in_geom(geom, method="classic", 
        else:

            valid = point_distribution_func(geom, nspts, ewpts, Session=Session, **kwargs)

    elif ew == True:

        logging.debug('Placing E/W oriented points.')

        # Since this is an LS, we should place these diagonally from the 'lower left' to the 'upper right'

        nspts = ewpts_func(short)

        ewpts = nspts_func(long)

autocnet/matcher/cross_instrument_matcher.py

+2 −6
Original line number Diff line number Diff line
@@ -112,12 +112,8 @@ def generate_ground_points(Session, 
            log.warning(f'Line or sample are outside of the base.')

            continue

        

        image = roi.Roi(ground_mosaic, sample, line, size_x=size[0], size_y=size[1])

        try:

            image.clip()

        except:

            continue

        image_roi = image.clipped_array

        image = roi.Roi(ground_mosaic, sample, line)

        image_roi = image.clip(size_x=size[0], size_y=size[1])



        interesting = extract_most_interesting(bytescale(image_roi),  extractor_parameters={}, extractor_method='vlfeat')

        # interesting = extract_most_interesting(bytescale(image_roi),  extractor_parameters={'nfeatures':500}, extractor_method='orb')

autocnet/spatial/centroids.py

+3 −3
Original line number Diff line number Diff line
@@ -186,9 +186,9 @@ def find_intresting_point(nodes, lon, lat, size=71): 
        line = try_line



        # Extract ORB features in a sub-image around the desired point

        image_roi = roi.Roi(node.geodata, sample, line, size_x=size, size_y=size)

        image_roi = roi.Roi(node.geodata, sample, line)

        try:

            roi_array = image_roi.clipped_array # Units are pixels for the array

            roi_array = image_roi.clip(size_x=size, size_y=size) # Units are pixels for the array

        except:

            log.info(f'Failed to find interesting features in image.')

            continue
@@ -199,7 +199,7 @@ def find_intresting_point(nodes, lon, lat, size=71): 
            continue



        # Extract the most interesting feature in the search window

        interesting = extract_most_interesting(image_roi.clipped_array)

        interesting = extract_most_interesting(roi_array)

        

        if interesting is not None:

            # We have found an interesting feature and have identified the reference point.

autocnet/spatial/overlap.py

+8 −13
Original line number Diff line number Diff line
@@ -117,12 +117,8 @@ def find_interesting_point(nodes, lon, lat, size=71, **kwargs): 
        line = try_line



        # Extract ORB features in a sub-image around the desired point

        image_roi = roi.Roi(node.geodata, sample, line, size_x=size, size_y=size)

        try:

            roi_array = image_roi.clipped_array # Units are pixels for the array

        except:

            log.info(f'Failed to find interesting features in image.')

            continue

        image_roi = roi.Roi(node.geodata, sample, line)

        roi_array = image_roi.clip(size_x=size, size_y=size) # Units are pixels for the array



        # Check if the image is valid and could be used as the reference

        if not is_valid_lroc_image(roi_array):
@@ -130,7 +126,7 @@ def find_interesting_point(nodes, lon, lat, size=71, **kwargs): 
            continue



        # Extract the most interesting feature in the search window

        interesting = extract_most_interesting(image_roi.clipped_array)

        interesting = extract_most_interesting(roi_array)

        

        if interesting is not None:

            # We have found an interesting feature and have identified the reference point.
@@ -224,6 +220,7 @@ def place_points_in_overlap(overlap, 
    # Determine the point distribution in the overlap geom

    geom = overlap.geom

    candidate_points = compgeom.distribute_points_in_geom(geom, ratio_size=ratio_size, **distribute_points_kwargs, **kwargs)

    logging.debug(f'Found {len(candidate_points)} in overlap {overlap.id}.')

    if not candidate_points.any():

        warnings.warn(f'Failed to distribute points in overlap {overlap.id}')

        return []
@@ -282,6 +279,7 @@ def place_points_in_overlap(overlap, 
        else:

            if len(point.measures) >= 2:

                points_to_commit.append(point)

    log.debug(f'Committing: {points_to_commit}')

    if points_to_commit:

        with ncg.session_scope() if ncg else nullcontext(session) as session:

            session.add_all(points_to_commit)
@@ -359,12 +357,9 @@ def place_points_in_image(image, 
            continue



        # Extract ORB features in a sub-image around the desired point

        image_roi = roi.Roi(node.geodata, sample, line, size_x=size, size_y=size)

        image_roi.clip()

        try:

            interesting = extract_most_interesting(image.clipped_array)

        except:

            continue

        image_roi = roi.Roi(node.geodata, sample, line)

        roi_array = image_roi.clip(size_x=size, size_y=size)

        interesting = extract_most_interesting(roi_array)



        # kps are in the image space with upper left origin and the roi

        # could be the requested size or smaller if near an image boundary.