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About pyopenrivercam

Home: https://github.com/localdevices/pyorc

Package license: AGPL-3.0-only

Feedstock license: BSD-3-Clause

Summary: Measure river and stream surface velocity and river flow from UAV, smartphone or IP camera videos

Development: https://github.com/localdevices/pyorc

Documentation: https://localdevices.github.io/pyorc

pyOpenRiverCam is an open-source API for estimating surface velocity and river flow from IP, drone or smartphone camera videos. It performs preprocessing, surface velocity estimation, spurious velocity filtering, cross section sampling, infilling of missings, and integration to discharge. A user only needs to perform light field work and collect videos. It is pure python code and therefore easy to take up in your own software project or perform research with or develop new features.

Current build status

All platforms:

Current release info

Name Downloads Version Platforms
Conda Recipe Conda Downloads Conda Version Conda Platforms

Installing pyopenrivercam

Installing pyopenrivercam from the conda-forge channel can be achieved by adding conda-forge to your channels with:

conda config --add channels conda-forge
conda config --set channel_priority strict

Once the conda-forge channel has been enabled, pyopenrivercam can be installed with conda:

conda install pyopenrivercam

or with mamba:

mamba install pyopenrivercam

It is possible to list all of the versions of pyopenrivercam available on your platform with conda:

conda search pyopenrivercam --channel conda-forge

or with mamba:

mamba search pyopenrivercam --channel conda-forge

Alternatively, mamba repoquery may provide more information:

# Search all versions available on your platform:
mamba repoquery search pyopenrivercam --channel conda-forge

# List packages depending on `pyopenrivercam`:
mamba repoquery whoneeds pyopenrivercam --channel conda-forge

# List dependencies of `pyopenrivercam`:
mamba repoquery depends pyopenrivercam --channel conda-forge

About conda-forge

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conda-forge is a community-led conda channel of installable packages. In order to provide high-quality builds, the process has been automated into the conda-forge GitHub organization. The conda-forge organization contains one repository for each of the installable packages. Such a repository is known as a feedstock.

A feedstock is made up of a conda recipe (the instructions on what and how to build the package) and the necessary configurations for automatic building using freely available continuous integration services. Thanks to the awesome service provided by Azure, GitHub, CircleCI, AppVeyor, Drone, and TravisCI it is possible to build and upload installable packages to the conda-forge Anaconda-Cloud channel for Linux, Windows and OSX respectively.

To manage the continuous integration and simplify feedstock maintenance conda-smithy has been developed. Using the conda-forge.yml within this repository, it is possible to re-render all of this feedstock's supporting files (e.g. the CI configuration files) with conda smithy rerender.

For more information please check the conda-forge documentation.

Terminology

feedstock - the conda recipe (raw material), supporting scripts and CI configuration.

conda-smithy - the tool which helps orchestrate the feedstock. Its primary use is in the construction of the CI .yml files and simplify the management of many feedstocks.

conda-forge - the place where the feedstock and smithy live and work to produce the finished article (built conda distributions)

Updating pyopenrivercam-feedstock

If you would like to improve the pyopenrivercam recipe or build a new package version, please fork this repository and submit a PR. Upon submission, your changes will be run on the appropriate platforms to give the reviewer an opportunity to confirm that the changes result in a successful build. Once merged, the recipe will be re-built and uploaded automatically to the conda-forge channel, whereupon the built conda packages will be available for everybody to install and use from the conda-forge channel. Note that all branches in the conda-forge/pyopenrivercam-feedstock are immediately built and any created packages are uploaded, so PRs should be based on branches in forks and branches in the main repository should only be used to build distinct package versions.

In order to produce a uniquely identifiable distribution:

  • If the version of a package is not being increased, please add or increase the build/number.
  • If the version of a package is being increased, please remember to return the build/number back to 0.

Feedstock Maintainers

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A conda-smithy repository for pyopenrivercam.

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