Commit daf1ed39 authored by amystamile-usgs's avatar amystamile-usgs
Browse files

v1.2.2

parent d9409049

CHANGELOG.md

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@@ -34,6 +34,10 @@ release. 
-->

## [Unreleased]



## [1.2.2]

### [Changed]

- Made image_registration dependency optional for conda-forge package which cannot use pip installs.



## [1.2.1]

### Added

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

autocnet/matcher/naive_template.py

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@@ -7,7 +7,11 @@ import numpy as np 
from scipy.ndimage import center_of_mass

from skimage.transform import rescale

from skimage.util import img_as_float32

try:

    from image_registration import chi2_shift

except:

    chi2_shift = None





log = logging.getLogger(__name__)
@@ -38,6 +42,9 @@ def pattern_match_chi2(image, template, usfac=16): 


    # Swapped so that we get the adjustment to the image to match the template

    # like the other matchers.

    if chi2_shift is None:

        raise ValueError("chi2_shift function is not defined. You need to install the 'image_registration' package with 'pip install image_registration'.")



    dx, dy, err_x, err_y = chi2_shift(image, template, return_error=True, upsample_factor=usfac, boundary='constant')

    shape_y, shape_x = np.array(template.shape)//2

    err =  (err_x + err_y) / 2.

code.json

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@@ -41,5 +41,48 @@ 
      "date": {

        "metadataLastUpdated": "2024-10-21"

      }

    },

    {

      "name": "autocnet",

      "organization": "U.S. Geological Survey",

      "description": "Automatic control network generation",

      "version": "1.2.2",

      "status": "Production",

  

      "permissions": {

        "usageType": "openSource",

        "licenses": [

          {

            "name": "Public Domain, CC0-1.0",

            "URL": "https://code.usgs.gov/astrogeology/autocnet/-/raw/1.2.2/LICENSE.md"

          }

        ]

      },

  

      "homepageURL": "https://code.usgs.gov/astrogeology/autocnet",

      "downloadURL": "https://code.usgs.gov/astrogeology/autocnet/-/archive/1.2.2/autocnet-1.2.2.zip",

      "disclaimerURL": "https://code.usgs.gov/astrogeology/autocnet/-/raw/1.2.2/DISCLAIMER.md",

      "repositoryURL": "https://code.usgs.gov/astrogeology/autocnet.git",

      "vcs": "git",

  

      "laborHours": 0,

  

      "tags": [

        "Planetary",

        "Remote Sensing",

        "Data Processing"

      ],

  

      "languages": [

        "Python"

      ],

  

      "contact": {

            "name": "Kelvin Rodriguez",

            "email": "krodriguez@usgs.gov"

      },

      "date": {

        "metadataLastUpdated": "2024-10-24"

      }

    }

  ]
 
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conda/conda-forge/meta.yaml

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{% set name = "autocnet" %}

{% set version = "1.2.2" %}



package:

  name: {{ name|lower }}

  version: {{ version }}



source:

  url: https://code.usgs.gov/astrogeology/autocnet/-/archive/v1.2.2/autocnet-v1.2.2.tar.gz

  sha256: 29f30e980aae216225d8ef181b2d228c2325ca0afb6ba60f2dfe0384759e828d



build:

  script: {{ PYTHON }} -m pip install . -vv

  skip: true  # [win]

  number: 0



requirements:

    build:

      - python

      - csmapi

      - dill

      - geoalchemy2

      - geopandas

      - kalasiris

      - knoten

      - networkx

      - opencv

      - plio

      - plurmy

      - pyyaml

      - redis-py

      - scikit-image

      - scipy

      - shapely

      - sqlalchemy-utils

    host:

      - python

      - setuptools

      - libgl  # [linux]

    run:

      - python

      - csmapi

      - cython

      - cyvlfeat

      - matplotlib-base

      - dill

      - conda-forge::gdal

      - geoalchemy2

      - geopandas

      - hoggorm

      - imageio

      - ipykernel

      - kalasiris

      - conda-forge::knoten

      - networkx >=2,<3

      - numpy

      - opencv

      - conda-forge::plio >=1.3

      - pandas

      - pyyaml

      - plio >=1.5.4

      - plurmy

      - psycopg2

      - pvl >=1.0,<2

      - proj

      - conda-forge::pyproj 

      - richdem

      - scikit-image >=0.17

      - scikit-learn

      - scipy

      - shapely

      - sqlalchemy

      - sqlalchemy-utils

      - redis-py <5

      - conda-forge::usgscsm >=2.0.0

      - vlfeat

      - protobuf =3.20



test:

  imports:

    - autocnet

    - autocnet.graph.network



about:

  home: https://github.com/DOI-USGS/Autocnet

  summary: 'A Python library for automatic generation of control networks for the geodetic control of planetary images.'

  description: 'Automatic control network generation'

  doc_url: https://github.com/DOI-USGS/Autocnet#readme

  dev_url: https://github.com/DOI-USGS/Autocnet

  license: CC0-1.0

  license_file: LICENSE.md



extra:

  recipe-maintainers:

    - Kelvinrr

    - amystamile-usgs

environment.yml

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@@ -39,7 +39,7 @@ dependencies: 
  - redis-py<5

  - conda-forge::usgscsm

  - vlfeat

  - protobuf

  - protobuf=3.20

  - pip

  - pip:

    - image_registration
 
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