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-1.1.1.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-1.1.1-py3-none-any.whl (16.6 kB view details)

Uploaded Python 3

File details

Details for the file cdc-1.1.1.tar.gz.

File metadata

  • Download URL: cdc-1.1.1.tar.gz
  • Upload date:
  • Size: 1.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for cdc-1.1.1.tar.gz
Algorithm Hash digest
SHA256 76adb7101040384269fb053309893782bda89f84c05760e95ffac273b51ca498
MD5 d27e8a993325e36423118fd52c317479
BLAKE2b-256 eb07c5d2fbc4f6d7240ea3c295bf7ad9bf46d9550d6d2354de491e7aa73c953f

See more details on using hashes here.

Provenance

The following attestation bundles were made for cdc-1.1.1.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-1.1.1-py3-none-any.whl.

File metadata

  • Download URL: cdc-1.1.1-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/3.12.9

File hashes

Hashes for cdc-1.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 92633d65dea82785ee9fae94b58d5fcb550900ff5690b268c5bd557a7064bf5c
MD5 62234d0d8cb3bcf76f63b1d414db9480
BLAKE2b-256 73933ec9eda800d79d52d0db8fa1522b142e3ad46264e81e84674db6ea17f021

See more details on using hashes here.

Provenance

The following attestation bundles were made for cdc-1.1.1-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