Skip to main content

Color distance calculator.

Project description

CDC - Color Distance Calculator

CDC can be a useful tool if you want to locate objects in an image / orthomosaic with a certain color. The tool can be used to go from this input image

Image

To this output image

Image

To learn more about the tool, take a look at the tutorial.

Table of contents:

Installation

CDC is a python package and can be installed with pip.

pip install CDC

For more advanced installation, please visit the Documentation for more information.

Usage

For a tutorial of how to use CDC on a test dataset, please see Tutorial.

How to make a reference image and mask

The easiest way to make a reference image is to use your preferred GIS image tool (like QGIS) to extract a small region from the orthomosaic. To make the mask open the reference image in an image editor and use the pen tool to mark all the desired pixels with red ((255, 0, 0) in RGB).

Run CDC

To run CDC on an orthomosaic, run the following in a terminal window:

CDC path/to/orthomosaic path/to/reference_image path/to/mask_image

Run CDC --help for more information or see the Documentation.

Documentation

For a full list of command line arguments see CLI. For a reference manual, please visit Reference Manual

Contributing

For contribution guidelines, please see the Documentation.

License

The software is licensed under the BSD-3-Clause license, see License.

Acknowledgement

the CDC tool was developed by SDU UAS Center as part of the project Præcisionsfrøavl, that was supported by the Green Development and Demonstration Programme (GUDP) and Frøafgiftsfonden both from Denmark.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cdc-1.1.4.tar.gz (1.1 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

cdc-1.1.4-py3-none-any.whl (16.6 kB view details)

Uploaded Python 3

File details

Details for the file cdc-1.1.4.tar.gz.

File metadata

  • Download URL: cdc-1.1.4.tar.gz
  • Upload date:
  • Size: 1.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for cdc-1.1.4.tar.gz
Algorithm Hash digest
SHA256 3204b47d00a7f23b1a3b9a30bdc56d6f9bcbef69754afe620dd25bfd7e4a902a
MD5 ef6cbb4bea1d77109847f618d9bf59b4
BLAKE2b-256 d33feae2e267b03a482baa4246a9d6335a571798b71ebcd7888c5a1b76e88118

See more details on using hashes here.

Provenance

The following attestation bundles were made for cdc-1.1.4.tar.gz:

Publisher: publish_pypi.yml on henrikmidtiby/CDC

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file cdc-1.1.4-py3-none-any.whl.

File metadata

  • Download URL: cdc-1.1.4-py3-none-any.whl
  • Upload date:
  • Size: 16.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for cdc-1.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 11d473f0ff7b7e5301870fa9cf7874c71899cd2af6185159316c3bfe558d1655
MD5 9ce692876df41c39d67f2c51ce933de1
BLAKE2b-256 f3377105edbee109e0a54b3854a4a4ee2a8f1c050533f95fc90c2a552c01588c

See more details on using hashes here.

Provenance

The following attestation bundles were made for cdc-1.1.4-py3-none-any.whl:

Publisher: publish_pypi.yml on henrikmidtiby/CDC

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page