exposure_fusion | Python implementation of exposure fusion | Computer Vision library

by arpesenti Python Version: Current License: GPL-2.0

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kandi X-RAY | exposure_fusion Summary

exposure_fusion is a Python library typically used in Artificial Intelligence, Computer Vision, Numpy applications. exposure_fusion has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install exposure_fusion' or download it from GitHub, PyPI.

Python implementation of exposure fusion of multiple images

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exposure_fusion has a low active ecosystem.

It has 11 star(s) with 4 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of exposure_fusion is current.

Quality

exposure_fusion has no bugs reported.

Security

exposure_fusion has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

exposure_fusion is licensed under the GPL-2.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

exposure_fusion releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

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exposure_fusion Key Features

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exposure_fusion Examples and Code Snippets

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Community Discussions

Trending Discussions on exposure_fusion

Splitting OpenEXR into different exposure images

QUESTION

Splitting OpenEXR into different exposure images

Asked 2019-Nov-07 at 16:36

I'm trying to use this dataset to do Exposure Meging (Fusion) in Python. Each image in the dataset has an OpenEXR file that can be downloaded (i don't have much experience with this file format).

I want to extract different samples (jpg or png) from the OpenEXR file with different exposures .

I managed to do that in Darktable :

Open the OpenEXR file (image)
Change the Exposure
Save as jpg
redo for each exposure value (-3EV, -2EV, -1EV, 0EV, 1EV, 2EV, 3EV).

The problem : I have 100 images and i want to automate this process. any idea on how to do that ?

Thank you in advance

...

ANSWER

Answered 2019-Nov-07 at 16:36

Since each increment of EV ("Exposure Value") corresponds to doubling the exposure, and EXR files are in linear light (not gamma-encoded), you would expect that you can double the pixel values in an EXR file to add 1EV and halve them to do -1EV...

So, I downloaded the Luxo EXR file from here. Then I went into Photoshop and clicked:

Source https://stackoverflow.com/questions/58740992

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install exposure_fusion

You can install using 'pip install exposure_fusion' or download it from GitHub, PyPI.
You can use exposure_fusion like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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