Research
Security News
Malicious npm Packages Inject SSH Backdoors via Typosquatted Libraries
Socket’s threat research team has detected six malicious npm packages typosquatting popular libraries to insert SSH backdoors.
A simple plugin to view large images
You can install Large-Image-Viewer
via pip:
pip install Large-Image-Viewer
To install latest development version :
pip install git+https://github.com/WyssCenter/Large-Image-Viewer.git
Contributions are very welcome. Tests can be run with tox, please ensure the coverage at least stays the same before you submit a pull request.
Distributed under the terms of the MIT license, "Large-Image-Viewer" is free and open source software
If you encounter any problems, please file an issue along with a detailed description.
The Napari Large Image Viewer Plugin is a powerful extension for the napari image visualization software. This plugin is designed to enable the visualization of large TIFF | TIF files directly from disk, without the need to load the entire image into RAM. This is particularly useful when working with large datasets that exceed the available memory of your system.
Efficient Large Image Visualization: The plugin allows you to open and visualize large files that are too big to fit into memory. It utilizes efficient memory-mapping techniques to display image data without fully loading it into RAM.
Interactive Exploration: With the Napari Large Image Viewer Plugin, you can interactively explore large datasets using familiar zooming, panning, and slicing actions.
Quick Installation: Installing the plugin is simple and straightforward, and it seamlessly integrates with the napari environment.
User-Friendly Interface: The plugin provides an intuitive user interface that integrates seamlessly into the napari interface, making it easy to use for both beginners and experienced users.
Prerequisites: Make sure you have napari installed on your system. If not, you can install it using:
pip install napari
Install the Plugin: You can install the plugin directly from GitHub using pip:
pip install git+https://github.com/WyssCenter/Large-Image-Viewer.git
Launch napari: Launch napari from your terminal:
napari
Activate the Plugin: Once napari is launched, go to the Plugins
menu and select Large Image Viewer
to activate the plugin.
Open Large TIFF | TIF File: With the plugin activated, you can now open a large file by dragging and dropping it to the napari viewer.
Open a Large TIFF | TIF File: Follow the installation instructions above to open a large TIFF | TIF file using the plugin.
Explore the Image: Once the image is loaded, you can use the mouse to zoom in/out, pan, and interactively explore the data. You can also adjust the colormap, contrast, and other visualization settings from the napari interface.
Slicing and Navigation: Use the slicing and navigation tools in napari to navigate through different sections of the large file.
Save Visualizations: You can save snapshots or screenshots of the current visualization using the napari interface.
Contributions to the Napari Large Image Viewer Plugin are welcome! If you encounter issues or have suggestions for improvements, please open an issue on the GitHub repository.
This plugin is licensed under the MIT License.
For any inquiries or questions, you can reach out to the author at nima.mojtahedi@wysscenter.ch
FAQs
A simple plugin to view large images
We found that Large-Image-Viewer demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
Security News
Socket’s threat research team has detected six malicious npm packages typosquatting popular libraries to insert SSH backdoors.
Security News
MITRE's 2024 CWE Top 25 highlights critical software vulnerabilities like XSS, SQL Injection, and CSRF, reflecting shifts due to a refined ranking methodology.
Security News
In this segment of the Risky Business podcast, Feross Aboukhadijeh and Patrick Gray discuss the challenges of tracking malware discovered in open source softare.