brainchop
Moby
brainchop | Moby | |
---|---|---|
16 | 212 | |
229 | 67,768 | |
4.8% | 0.3% | |
9.1 | 10.0 | |
21 days ago | about 17 hours ago | |
JavaScript | Go | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
brainchop
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Release Radar • March 2024 Edition
We featured Brainchop back in the February 2023 Release Radar. Since then, Brainchop is back with a powerful model update. Brainchop is a 3D MRI rendering and segmentation tool for analysing and processing Magnetic Resonance Imaging (MRIs) of various brains. Using AI, the new version features three classes of models for processing and analysing images of brains. Here are the three new models:
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"[N]" Brainchop V1.4.0
Brainchop win TF Community Sportlight Award Github: https://github.com/neuroneural/brainchop
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Brainchop V1.4.0 is out: Rendering input in 3D and apply 3D image processing
You welcome, there is no backend with brainchop, but in-browser JS functions, please visit https://github.com/neuroneural/brainchop/tree/master/js/brainchop
- Brainchop v1.3.0: First in browser open source and free software for 3D brain segmentation. (Follow up)
- Brainchop: In-browser 3D MRI segmentation
- Brainchop: Volumetric Segmentation of brain 3D MRI images (Follow up)
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"[Project]" Brainchop: In Browser 3D Segmentation. Now 50 and 104 Brain Segmentations. (Follow up).
Live Demo: brainchop.org
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Brainchop: In Browser 3D Segmentation. And now more options with Pyodide. (Follow up).
We appreciate your ideas/feedback /comments by visit our discussion board and please spread a word about our work.
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Brainchop: In-browser deep learning framework for volumetric Segmentation
Live Demo: brainchop.org Brainchopis a client-side web-application for automatic segmentation of MRI volumes that brings automatic volumetric segmentation capability to neuroimaging by running a robustly pre-trained deep learning model. The app does not require technical sophistication from the user and is designed for locally and privately segmenting user’s T1 volumes. Results of the segmentation may be easily saved locally after the computation. An intuitive interactive interface that does not require any special training nor specific instruction to run enables access to a state of the art deep learning brain segmentation for anyone with a modern browser (e.g. Firefox, Chrome etc) and commonly available hardware. Additionally, we make implementation of brainchop freely available releasing its pure Javascript code as open-source.
Hi, and thanks for asking. currently we are planning to release a version with cortical structure of 50 labels within a week or so. We have also a subcortical one of 104 labels but we work on optimize it more to make it run with most browsers. Please keep tracking us, and feel free please to reach us out with your suggestion/feedback/question using Brainchop discussion board.
Moby
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Release Radar • March 2024 Edition
Having been featured in our February 2023, and January 2024 Release Radars, Moby is the original Linux Container runtime. This new version adds a bunch of changes to the Docker CLI and Moby itself with additional features. There's bug fixes and enhancements, with the main thing for users to be on the look out for containers that were created using Docker Engine 25.0.0. These containers might have duplicate MAC addresses, and thus must be recreated. The same goes for those containers created with Moby 25.0+ and with user defined MAC addresses. Read up on all these changes in the release notes.
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Choosing a Name for Your Computer
Formlabs does this as well for their 3d printers, my earliest encounter of this was when Docker started getting popular: https://github.com/moby/moby/blob/master/pkg/namesgenerator/...
- Docker Inc. refuses to patch HIGH vulnerabilities in Docker
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Do not install Docker Desktop on GNU/Linux systems
Try to use moby instead since that is the engine in Docker.
https://github.com/moby/moby
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Exploring Podman: A More Secure Docker Alternative
> Podman is designed to help with this by providing stronger default security settings compared to Docker. Features like rootless containers, user namespaces, and seccomp profiles, while available in Docker, aren't enabled by default and often require extra setup.
Seccomp has been enabled by default since 2015: https://github.com/moby/moby/pull/18780
It is true that Rootless isn't enabled by default but its "extra setup" can be done with a single command (`dockerd-rootless-setuptool.sh install`)
- Moby: Block io_uring_* syscalls in default profile
- Io_uring will be blocked by default on Docker
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OpenZFS 2.2: Block Cloning, Linux Containers, BLAKE3
Perhaps.
Thing is, https://github.com/moby/moby/blob/670bc0a46c4ca03b75f1e72f73... is using https://github.com/mistifyio/go-zfs which features code like `out, err := zfsOutput("get", "-H", key, d.Name)` (Source: https://github.com/mistifyio/go-zfs/blob/master/zfs.go#L315) to get a single zfs property.
Somebody chose to use a library as abstraction that looks good but is implemented as a MVP (nothing wrong with that). "In the future, we hope to work directly with libzfs" should have raised an alarm somewhere, though.
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The Twelve-Factor App
AppArmor can restrict /proc and this is even used by docker: https://github.com/moby/moby/blob/master/contrib/apparmor/te...
What are some alternatives?
three-js-games - 👾 The code for my Three.js game dev experiments on YouTube.
podman - Podman: A tool for managing OCI containers and pods.
cornerstone - JavaScript library to display interactive medical images including but not limited to DICOM
containerd - An open and reliable container runtime
dicomviewer - DICOM Viewer in Nextcloud
nerdctl - contaiNERD CTL - Docker-compatible CLI for containerd, with support for Compose, Rootless, eStargz, OCIcrypt, IPFS, ...
three-js-tutorials - 🥉 The code for my Three.js tutorial series on YouTube.
docker-openwrt - OpenWrt running in Docker
facial-emotion-recognition - This repository demonstrates an end-to-end pipeline for real-time Facial emotion recognition application through full-stack development. The frontend is developed in react.js and the backend is developed in FastAPI. The emotion prediction model is built with Tensorflow Keras, and for real-time face detection with animation on the frontend, Tensorflow.js have been used.
ofelia - A docker job scheduler (aka. crontab for docker)
k3d - Little helper to run CNCF's k3s in Docker
Packer - Packer is a tool for creating identical machine images for multiple platforms from a single source configuration.