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fiji-arnheim-0.1.3


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توضیحات

Fiji with Arnheim Client Integrated
ویژگی مقدار
سیستم عامل -
نام فایل fiji-arnheim-0.1.3
نام fiji-arnheim
نسخه کتابخانه 0.1.3
نگهدارنده []
ایمیل نگهدارنده []
نویسنده jhnnsrs
ایمیل نویسنده jhnnsrs@gmail.com
آدرس صفحه اصلی https://github.com/jhnnsrs/fiji-arnheim
آدرس اینترنتی https://pypi.org/project/fiji-arnheim/
مجوز -
# Fiji - Arnheim ### Disclaimer This is alpha software. Versioning is errounous. Breaking changes happening on a daily basis. If you want to test the Arnheim platform please contact the developers directly. ### Idea Fiji-Arnheim provides a simple interface to start Fiji and connect it to a local Arnheim Instance. Fiji register itself as a worker and provides implementations to common image analysis tasks. ImageJ-1 Macros are supported to wrap and are registered as templates for the Tasks. (For detailed information on how Arnheim thinks about tasks and templates please visit the Arnheim documentation) ### Prerequisites and Install Fiji Arnheim heavily relies on PyImageJ for interfacing with ImageJ/Fiji. PyImageJ itself has various dependencies on Java and Maven. You can install PyImageJ via conda and then install Fiji Arnheim on top. ``` conda create -n fijiarnheim pyimagej openjdk=8 conda activate fijiarnheim pip install fiji-arnheim ``` This install pyimagej together with maven. PyImageJ is then taking care of setting up a local instance of Fiji. ### Usage In order to run fiji-arnheim, activate your environment and run ``` fiji-arnheim ``` This will open Fiji with its UI (Usage is standard Fiji) and register it as a worker. You can call its implementations now from anywhere ### Use Cases Please read the Arnheim documentation thoroughly to get an idea for the use-cases and limitations of the Arnheim platform. Use cases include: 1. Remote Image Analysis: Use data stored on your institute server and analyse it on your local machine, without downloading and storing your data. 2. Big Data: Stream big datasets to your local machine (Napari required) 3. Combined Analysis Flows: Use Deeplearning in the Cloud, Cluster analysis, Web apps and Clients like ImageJ and Napari all in one analysis flow with metadata storage. 4. End-to-End Pipelines: Acquire Images on your Microscope, process them on the fly and get notified about results. Please contact the developer for better explainations. ### Testing and Documentation So far Arnheim Fiji does only provide limitedunit-tests and is in desperate need of documentation, please beware that you are using an Alpha-Version ### Build with - [Arnheim](https://github.com/jhnnsrs/arnheim) - [Bergen](https://github.com/jhnnsrs/bergen) - [Grunnlag](https://github.com/jhnnsrs/grunnlag) - [PyImage](https://github.com/imagej/pyimagej) ## Roadmap This is considered pre-Alpha so pretty much everything is still on the roadmap ## Deployment Contact the Developer before you plan to deploy this App, it is NOT ready for public release ## Versioning There is not yet a working versioning profile in place, consider non-stable for every release ## Authors * **Johannes Roos ** - *Initial work* - [jhnnsrs](https://github.com/jhnnsrs) See also the list of [contributors](https://github.com/your/project/contributors) who participated in this project. ## License Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) ## Acknowledgments * EVERY single open-source project this library used (the list is too extensive so far)


نیازمندی

مقدار نام
>=0.2.9,<0.3.0 grunnlag
>=0.3.31,<0.4.0 bergen
>=1.0.0,<2.0.0 pyimagej


زبان مورد نیاز

مقدار نام
>=3.8,<4.0 Python


نحوه نصب


نصب پکیج whl fiji-arnheim-0.1.3:

    pip install fiji-arnheim-0.1.3.whl


نصب پکیج tar.gz fiji-arnheim-0.1.3:

    pip install fiji-arnheim-0.1.3.tar.gz