python-bioformats | Read and write life sciences file formats

 by   CellProfiler Python Version: 4.0.7 License: Non-SPDX

kandi X-RAY | python-bioformats Summary

kandi X-RAY | python-bioformats Summary

python-bioformats is a Python library. python-bioformats has no bugs, it has no vulnerabilities, it has build file available and it has low support. However python-bioformats has a Non-SPDX License. You can install using 'pip install python-bioformats' or download it from GitHub, PyPI.

Read and write life sciences file formats
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            kandi-support Support

              python-bioformats has a low active ecosystem.
              It has 81 star(s) with 39 fork(s). There are 16 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 54 open issues and 43 have been closed. On average issues are closed in 211 days. There are 4 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of python-bioformats is 4.0.7

            kandi-Quality Quality

              python-bioformats has 0 bugs and 0 code smells.

            kandi-Security Security

              python-bioformats has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              python-bioformats code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              python-bioformats has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              python-bioformats releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed python-bioformats and discovered the below as its top functions. This is intended to give you an instant insight into python-bioformats implemented functionality, and help decide if they suit your requirements.
            • Create an image reader class
            • Creates an io formatReader class
            • Return a class list
            • Get the version number
            • Make a reader class
            • Make a loci class
            • Get an image reader
            • Release an image reader
            • Close the stream
            • Set the roi count
            • Return the qualified name for a namespace tag
            • Create an image writer class
            • Makes a class suitable for logging
            • Sets the pixel dimensions of the image
            • Return a dictionary of namespaces
            • Create StructuredAnnotations element
            • Sets the channel s samples per pixel
            • Wrap a MetadataStore object
            • Get omero credentials
            • Make a text node
            • Sets the big endian of the image
            • Makes a loci FormatTools class
            • Make a writer class for the given class_name
            • Make a reader wrapper for the given class_name
            • Create an OMERO reader instance
            • Creates a new pixel type
            • Makes an OM - TIFF writer class
            • Download a file
            Get all kandi verified functions for this library.

            python-bioformats Key Features

            No Key Features are available at this moment for python-bioformats.

            python-bioformats Examples and Code Snippets

            Apply openCV-python adaptive threshold to 3D tiff
            Pythondot img1Lines of Code : 23dot img1License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import javabridge
            import bioformats
            
            javabridge.start_vm(class_path=bioformats.JARS)
            
            path_to_data = '/path/to/data/file_name.tif'
            
            xml_string = bioformats.get_omexml_metadata(path_to_data)
            ome = bioformats.OMEXML(xml_string) # be sure eve
            Bioformats-Python error: 'ascii' codec can't encode character u'\xb5' when using OMEXML()
            Pythondot img2Lines of Code : 23dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import javabridge as jv
            import bioformats as bf
            
            jv.start_vm(class_path=bf.JARS, max_heap_size='12G')
            
            file_full_path = '/path/to/Cell1.lsm'
            
            md = bf.get_omexml_metadata(file_full_path)
            
            ome = bf.OMEXML(md)
            
            jv.kill_vm()
            

            Community Discussions

            QUESTION

            AWS Lambda and S3: passing s3 object path to image process function
            Asked 2019-May-03 at 00:28

            My intention is to have a large image stored on my S3 server and then get a lambda function to read/process the file and save the resulting output(s). I'm using a package called python-bioformats to work with a proprietary image file (which is basically a whole bunch of tiffs stacked together). When I use

            ...

            ANSWER

            Answered 2019-May-03 at 00:28

            If your bioformats.get_omexml_metadata() function requires a filepath as an argument, then you will need to have the object downloaded before calling the function.

            This could be a problem in an AWS Lambda function because there is a 500MB limit on available disk space (and only in /tmp/).

            If the data can instead be processed as a stream, you could read the data as it is required without saving to disk first. However, the python-bioformats documentation does not show this as an option. In fact, I would be surprised if your above code works, given that it is expecting a path while imageobj is the contents of the file.

            Source https://stackoverflow.com/questions/55961759

            QUESTION

            python setup.py egg_info failed when installing python-bioformats
            Asked 2017-Mar-30 at 21:08

            I am working on Ubuntu 16.04, and I have installed virtualenvs. I am in one env and trying to install python-bioformats The installation instruction form the official website just indicate to install as:

            ...

            ANSWER

            Answered 2017-Mar-30 at 21:08

            The problem is that you have note installed Java. You need to install Java on you system. If you think it is installed, then sure it is not on the Linux's paths to search for executables and you need to add the path to Java to environment variable PATH. Whenever you have Java installed/add to Linux's PATH then execute type -p java on command line and it should return the path to the java executable.

            Source https://stackoverflow.com/questions/43126723

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

            Vulnerabilities

            No vulnerabilities reported

            Install python-bioformats

            You can install using 'pip install python-bioformats' or download it from GitHub, PyPI.
            You can use python-bioformats 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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            Install
          • PyPI

            pip install python-bioformats

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            https://github.com/CellProfiler/python-bioformats.git

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            gh repo clone CellProfiler/python-bioformats

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            git@github.com:CellProfiler/python-bioformats.git

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