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A python DNG editing package.

Project description

A DNG based photo editing package. It can do things such as:

  • Decode and render lossless JPG images.
  • Encode lessless JPG images.
  • Render DNG images.
  • Edit DNG metadata.
  • Ramp Adobe Lightroom edits for image sequences.
  • Stabilize shaky image sequences using the Adobe Lightroom crop property.

Documentation

Docs can be found at brilliantimagery.org/docs

Installation

From PyPI

$ pip install brilliantimagery

From Source

The Poetry package and dependency manager is used by BrilliantImagery so install it if you haven’t already done so. Some of the project files must be compiled. This accomplished within the below instructions.

Clone the git repo.

From within the top /brilliantimagery folder, the one that contains the pyproject.toml file, install BrilliantImagery:

$ poetry install

Development

Testing

Running the included tests can be used as a way to ensure that the package has been properly installed.

Running Tests

To run all of the tests:

$ poetry run pytest

Coverage Reports

Terminal coverage reports can be generated:

$ poetry run pytest --cov=brilliantimagery

HTML coverage reports can be generated when tests are run:

$ poetry run pytest --cov=brilliantimagery --cov-report=html

Docs

After making changes to the docs, to update them, assuming ./brilliantiamgery is the current working directory, activate a poetry shell:

$ poetry shell

Change the working directory to the /docs folder:

$ cd docs

And then run clean and make the html docs:

$ make clean && make html

Changelog

  • 0.2.2: Fixed version bug.
  • 0.2.1: Fixed build bug and a test.
  • 0.2.0: Enabled saving and loading projects as well as reusing offsets and brightnesses between runs.
  • 0.1.1: Fixed bug affecting sequences where multiple images have the same stored capture time.

Project details


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Files for brilliantimagery, version 0.2.2
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Filename, size brilliantimagery-0.2.2-cp38-cp38m-win_amd64.whl (1.3 MB) File type Wheel Python version cp38 Upload date Hashes View hashes
Filename, size brilliantimagery-0.2.2.tar.gz (450.8 kB) File type Source Python version None Upload date Hashes View hashes

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