Slide for Yocto Project Japan Study Meeting on April 8th, 2017. Introduce Toaster as Web interface for build system and how to use it by Docker.
Yocto Project Japan 勉強会#3 #yoctojp 向けのスライド。ビルドシステムのWebインタフェースのToasterの紹介とDockerを使った動かし方。
https://connpass.com/event/53060/
FIWARE Lab, a service platform based on a large distributed OpenStack environ...FIWARE
'FIWARE Lab, a service platform based on a large distributed OpenStack environment'.
Presentation (in Japanese) by Stefano De Panfilis, FIWARE Foundation COO.
Shown at the OpenStack Days in Tokyo (20/07/2017)
20240415 [Container Plumbing Days] Usernetes Gen2 - Kubernetes in Rootless Do...Akihiro Suda
Rootless mode is a technique to harden containers by running the container engine as a non-root user. The support for rootless mode has been merged into Docker since v19.03 (2019) and in Kubernetes since v1.22 (2021). However, setting up Rootless Kubernetes has been more challenging than setting up Rootless Docker due to its complexity. This session presents Usernetes Generation 2, a Kubernetes distribution that wraps Kubernetes in Rootless Docker for ease of setting up multi-node Rootless Kubernetes clusters. Unlike the original Usernetes (Generation 1) that was based on "Kubernetes The Hard Way", Usernetes Generation 2 supports kubeadm. Usernetes Generation 2 is similar to `kind` and `minikube`, however, unlike them Usernetes Generation 2 supports forming real multi-node clusters using Flannel (VXLAN) and it can be potentially used for production clusters. https://github.com/rootless-containers/usernetes
https://github.com/rootless-containers/usernetes
Usernetes (Gen2) deploys a Kubernetes cluster inside Rootless Docker, so as to mitigate potential container-breakout vulnerabilities.
Usernetes (Gen2) is similar to Rootless kind and Rootless minikube, but Usernetes (Gen 2) supports creating a cluster with multiple hosts.
[DockerCon 2023] Reproducible builds with BuildKit for software supply chain ...Akihiro Suda
Images maintained by a reputable organization or an individual are often considered to be trustworthy; however, it is hard to deny the possibility that they might have silently injected malicious codes that are not present in the source repo. Also, even if they have no malicious intent, their images can still be compromised on an accidental leakage of registry credentials.
The latest release of BuildKit solves this supply chain security concern with reproducible builds. Reproducible builds is a technique to ensure that a bit-for-bit identical image can be reproduced from its source code, by anybody, at any time. When multiple actors can attest to an image's reproducibility, it signifies that the image contains no code of a secret origin.
Audiences of this talk will learn how they can and how sometimes they cannot make their images reproducible to improve their trust.
The internals and the latest trends of container runtimesAkihiro Suda
Containers are a set of various lightweight methods to isolate filesystems, CPU resources, memory resources, system permissions, etc. Containers are similar to virtual machines in many senses, but they are more efficient and often less secure. This talk roughly consists of the following three parts:
1. Introduction to containers and how they spread in the last decade
2. Internals of container runtimes: namespaces, cgroups, capabilities, seccomp, etc.
3. Latest trends: Non-Docker containers, User Namespaces, Rootless Containers, Kata Containers, gVisor, WebAssembly, etc.
http://www.cce.i.kyoto-u.ac.jp/danwa23.html
[Container Plumbing Days 2023] Why was nerdctl made?Akihiro Suda
nerdctl (contaiNERD CTL) was made to facilitate development of new technologies in the containerd platform.
Such technologies include:
- Lazy-pulling with Stargz/Nydus/OverlayBD
- P2P image distribution with IPFS
- Image encryption with OCIcrypt
- Image signing with Cosign
- “Real” read-only mounts with mount_setattr
- Slirp-less rootless containers with bypass4netns
- Interactive debugging of Dockerfiles, with buildg
nerdctl is also useful for debugging Kubernetes nodes that are running containerd.
Through this session, the audiences will learn these functionalities of nerdctl, relevant projects, and the roadmap for the future.
https://containerplumbing.org/sessions/2023/why_was_nerdctl_
[KubeCon EU 2022] Running containerd and k3s on macOSAkihiro Suda
https://sched.co/ytpi
It has been very hard to use Mac for developing containerized apps. A typical way is to use Docker for Mac, but it is not FLOSS. Another option is to install Docker and/or Kubernetes into VirtualBox, often via minikube, but it doesn't propagate localhost ports, and VirtualBox also doesn't support the ARM architecture. This session will show how to run containerd and k3s on macOS, using Lima and Rancher Desktop. Lima wraps QEMU in a simple CLI, with neat features for container users, such as filesystem sharing and automatic localhost port forwarding, as well as DNS and proxy propagation for enterprise networks. Rancher Desktop wraps Lima with k3s integration and GUI.
セル生産方式におけるロボットの活用には様々な問題があるが,その一つとして 3 体以上の物体の組み立てが挙げられる.一般に,複数物体を同時に組み立てる際は,対象の部品をそれぞれロボットアームまたは治具でそれぞれ独立に保持することで組み立てを遂行すると考えられる.ただし,この方法ではロボットアームや治具を部品数と同じ数だけ必要とし,部品数が多いほどコスト面や設置スペースの関係で無駄が多くなる.この課題に対して音𣷓らは組み立て対象物に働く接触力等の解析により,治具等で固定されていない対象物が組み立て作業中に運動しにくい状態となる条件を求めた.すなわち,環境中の非把持対象物のロバスト性を考慮して,組み立て作業条件を検討している.本研究ではこの方策に基づいて,複数物体の組み立て作業を単腕マニピュレータで実行することを目的とする.このとき,対象物のロバスト性を考慮することで,仮組状態の複数物体を同時に扱う手法を提案する.作業対象としてパイプジョイントの組み立てを挙げ,簡易な道具を用いることで単腕マニピュレータで複数物体を同時に把持できることを示す.さらに,作業成功率の向上のために RGB-D カメラを用いた物体の位置検出に基づくロボット制御及び動作計画を実装する.
This paper discusses assembly operations using a single manipulator and a parallel gripper to simultaneously
grasp multiple objects and hold the group of temporarily assembled objects. Multiple robots and jigs generally operate
assembly tasks by constraining the target objects mechanically or geometrically to prevent them from moving. It is
necessary to analyze the physical interaction between the objects for such constraints to achieve the tasks with a single
gripper. In this paper, we focus on assembling pipe joints as an example and discuss constraining the motion of the
objects. Our demonstration shows that a simple tool can facilitate holding multiple objects with a single gripper.
【DLゼミ】XFeat: Accelerated Features for Lightweight Image Matchingharmonylab
公開URL:https://arxiv.org/pdf/2404.19174
出典:Guilherme Potje, Felipe Cadar, Andre Araujo, Renato Martins, Erickson R. ascimento: XFeat: Accelerated Features for Lightweight Image Matching, Proceedings of the 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
概要:リソース効率に優れた特徴点マッチングのための軽量なアーキテクチャ「XFeat(Accelerated Features)」を提案します。手法は、局所的な特徴点の検出、抽出、マッチングのための畳み込みニューラルネットワークの基本的な設計を再検討します。特に、リソースが限られたデバイス向けに迅速かつ堅牢なアルゴリズムが必要とされるため、解像度を可能な限り高く保ちながら、ネットワークのチャネル数を制限します。さらに、スパース下でのマッチングを選択できる設計となっており、ナビゲーションやARなどのアプリケーションに適しています。XFeatは、高速かつ同等以上の精度を実現し、一般的なラップトップのCPU上でリアルタイムで動作します。