Python库 | PartSeg-0.9.3.post5.tar.gz

# PartSeg [](https://travis-ci.com/4DNucleome/PartSeg) [](https://badge.fury.io/py/PartSeg) [](https://partseg.readthedocs.io/en/latest/?badge=latest) [](https://dev.azure.com/PartSeg/PartSeg/_build/latest?definitionId=1&branchName=master) [](https://zenodo.org/badge/latestdoi/166421141) PartSeg is gui and library for segmentation algorithms. This application is designed to help biologist with segmentation based on threshold and connected components  ## Tutorials * Tutorial: **Chromosome 1 (as gui)** [link](https://4dnucleome.cent.uw.edu.pl/PartSeg/tutorials/tutorial_chromosome_1/) * Data for chromosome 1 tutorial [link](https://4dnucleome.cent.uw.edu.pl/PartSeg/Downloads/PartSeg_samples.zip) * Tutorial: **Different neuron types (as library)** [link](https://4dnucleome.cent.uw.edu.pl/PartSeg/tutorials/tutorial_diferrent_neurons/) ## Installing * From binaries: * [Windows](https://4dnucleome.cent.uw.edu.pl/PartSeg/Downloads/PartSeg-lastest-windows.zip) (build on Windows 10) * [Linux](https://4dnucleome.cent.uw.edu.pl/PartSeg/Downloads/PartSeg-lastest-linux.zip) (build on Ubuntu 18.04) * [MacOS](https://4dnucleome.cent.uw.edu.pl/PartSeg/Downloads/PartSeg-lastest-macos.zip) (build on MacOS Mojave) * With pip (on linux you need to install `numpy` and `cython` earlier) * From pypi: `pip install PartSeg` * From repository: `pip install git+https://github.com/4DNucleome/PartSeg.git` ## Running If you download binaries look for `PartSeg_exec` file inside the `PartSeg` folder If you install from repository or from pip you cat run it with `PartSeg` command or `python -m PartSeg`. First option do not work on Windows. PartSeg export few commandline options: - `--no_report` - disable reporting errors to authors - `--no_dialog` - disable reporting errors to authors and showing error dialog. Use only when running from terminal. - `segmentation_analysis` - skip launcher and start analysis gui - `segmentation` - skip launcher and start segmentation gui ## Additional remarks: Current version of PartSeg use `tifffile` package to read `*.tiff` files. Because newer version is easy to install only on Windows. If you install it manually with imagecodecs it should work. ## Save Format Saved project are tar files compressed with gzip or bz2 Metadata are saved in data.json file (in json format) images/mask are saved as *.npy (numpy array format) ## Interface Launcher. Chose program that you will launch:  Main window of Segmentation Analysis:  Main window of Segmentation Analysis with view on measurement result:  Window for creating set of measurements:  Main window of Mask Segmentation:  ## Laboratory Laboratory of functional and structural genomics http://4dnucleome.cent.uw.edu.pl/