Commit f5e14f24 authored by Adoram-Kershner, Lauren's avatar Adoram-Kershner, Lauren
Browse files

Merge branch 'docs_update' into 'main' 

documentation updates

See merge request astrogeology/autocnet!657
parents 1fb60cf3 d57011e6

README.md

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@@ -118,7 +118,7 @@ source_db_config = {'username':'jay', 


# Subset the data store using a spatial query.

geom = 'LINESTRING(145 10, 145 10.25, 145.25 10.25, 145.25 10, 145 10)'

srid = 949900

srid = 104971

outpath = '/scratch/some/path/for/data'

query = f"SELECT * FROM ctx WHERE ST_INTERSECTS(geom, ST_Polygon(ST_GeomFromText('{geom}'), {srid})) = TRUE"

ncg.add_from_remote_database(source_db_config, outpath, query_string=query)
@@ -136,7 +136,7 @@ the quert string be valid SQL. `geom = 'LINESTRING(145 10, 145 10.25, 145.25 


The PostGIS query requires a valid SRID for the input geometry, so we

explicitly define that here. This is the SRID that the footprints are being

stored in inside of the data store. `srid = 949900` The srid here is a custom

stored in inside of the data store. `srid = 104971` The srid here is a custom

srid that has been added to the data store spatial reference table; the id can

be any arbitrary number as long as it exists in the spatial reference table.

autocnet/camera/camera.py

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@@ -115,7 +115,7 @@ def projection_error(p1, p, pt, pt1): 
    the gold standard method for fundamental matrix estimation.



    Parameters

    -----------

    ----------

    p1 : ndarray

         (3,4) camera matrix

autocnet/camera/utils.py

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@@ -15,7 +15,7 @@ def normalize(a): 
    """

    Normalize a set of coordinates such that the origin is

    translated to the center and then scaled isotropically such

    that the average distance from the origin is $\sqrt{2}$.

    that the average distance from the origin is :math:`\\sqrt{2}`.



    Parameters

    ----------

autocnet/cg/change_detection.py

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@@ -200,8 +200,7 @@ def okubogar_detector(image1, image2, nbins=50, extractor_method="orb", image_fu 


     See Also

     --------



     feature extractor: autocnet.matcher.cpu_extractor.extract_features

     autocnet.matcher.cpu_extractor.extract_features : for description of information associated with the feature extractor



     """

     if isinstance(image1, GeoDataset):

autocnet/control/control.py

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@@ -57,7 +57,7 @@ def identify_potential_overlaps(cg, cn, overlap=True): 
    Parameters

    ----------

    overlap : boolean

              If True, apply aprint(g)n additional point in polygon check, where

              If True, apply an additional point in polygon check, where

              the polygon is the footprint intersection between images and

              the point is a keypoint projected into lat/lon space.  Note

              that the projection can be inaccurate if the method used