Viewer for hyperspectral Numpy cubes and (2d/3d/4d)-tensors.
This viewer opens practically all numpy files, that has at least two dimensions. Using a slider it is possible to scroll through the channels. It features an envi to numpy converter, that converts raw ENVI shots to numpy (even white/black-ref support).
It features full support for 4d arrays, such as Tensors. During debugging, a Tensor can be saved using np.save() and analyzed by this tool. The tool allows to slice through batches and channels, and can merge channels into RGB/BGR into one rendered view.
This tool might also be useful for people working with DICOM. If you convert an array of DICOM images to a numpy array, and then save it, then this tool is useful to scroll through slices.
Can convert BIL ENVI files from e.g. "Lumo scanner", Specim FX17, Specim FX10, etc. You can also compare the spectrum of a pixel by left/right clicking in the canvas.
Also available as AppImage. Checkout the GitHub page for more info.
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Snaps are applications packaged with all their dependencies to run on all popular Linux distributions from a single build. They update automatically and roll back gracefully.
Snaps are discoverable and installable from the Snap Store, an app store with an audience of millions.
If you’re running Ubuntu 16.04 LTS (Xenial Xerus) or later, including Ubuntu 18.04 LTS (Bionic Beaver) and Ubuntu 20.04 LTS (Focal Fossa), you don’t need to do anything. Snap is already installed and ready to go.
For versions of Ubuntu between 14.04 LTS (Trusty Tahr) and 15.10 (Wily Werewolf), as well as Ubuntu flavours that don’t include snap by default, snap can be installed from the Ubuntu Software Centre by searching for snapd.
Alternatively, snapd can be installed from the command line:
sudo apt update
sudo apt install snapd
Either log out and back in again, or restart your system, to ensure snap’s paths are updated correctly.
To install Numpy viewer, simply use the following command:
sudo snap install numpyviewer
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