Merge branch 'main' into snort3

.wordlist.txt

@@ -308,7 +308,6 @@ Alibaba
 Altra
 AmazonRDS
 Analytics
-Andoid
 Anonymized
 ArmDeveloperEcosystem
 ArmNN
@@ -3420,4 +3419,95 @@ snortrules
 techmahindra
 unreferenced
 uptime
-wC
+wC
+ApiService
+AppHost
+ArmPyTorchMNISTInference
+Blazor
+CameraX
+ComputationService
+Coroutine
+EOF
+EVCLI
+EVidence
+Evcli
+GC’s
+GenerateMatrix
+ImageCapture
+InputStream
+JWT
+JetPack
+KBS
+MediaPipe's
+Mongod
+Multimodal
+NNAPI
+NPUs
+NetAspire
+OpenTelemetry
+PIL
+PerformIntensiveCalculations
+ReactiveX's
+ServiceDefaults
+SharedFlow
+Skopeo
+StateFlow
+TestOpenCV
+TrustedFirmware
+Veraison
+WeatherForecast
+WebGPU’s
+Wiredtiger
+androidml
+ar
+armpytorchmnistinference
+codelabs
+combinator
+cooldown
+coroutines
+cryptographically
+datatracker
+debounce
+decrypts
+diagnosticDataCollectionDirectorySizeMB
+eab
+eth
+evcli
+googleblog
+hanyin
+honorSystemUmask
+ietf
+jsonviewer
+keyFile
+livestream
+lockCodeSegmentsInMemory
+matrixResult
+matrixSize
+maxIncomingConnections
+mongod
+mongosh
+multimodality
+multimodel
+oplogSizeMB
+optimizable
+orchestrator
+prebuild
+preconfigured
+relica
+replSetName
+rfc
+serializable
+setParameter
+skopeo
+subclasses
+subproject
+subproject's
+subrepositories
+suppressNoTLSPeerCertificateWarning
+systemLog
+tlsWithholdClientCertificate
+unutilized
+vLLM
+veraison
+verifier
+vllm

assets/contributors.csv

@@ -48,3 +48,4 @@ Chen Zhang,Zilliz,,,,
 Tianyu Li,Arm,,,,
 Georgios Mermigkis,VectorCamp,gMerm,georgios-mermigkis,,https://vectorcamp.gr/ 
 Ben Clark,Arm,,,,
+Han Yin,Arm,hanyin-arm,nacosiren,,

content/install-guides/skopeo.md

@@ -1,6 +1,6 @@
 ---
 title: Skopeo
-
+draft: true
 author_primary: Jason Andrews
 minutes_to_complete: 10
 official_docs: https://github.com/containers/skopeo
@@ -24,7 +24,7 @@ Skopeo is a command-line utility that performs various operations on container i
 
 This article explains how to install Skopeo for Ubuntu on Arm.
 
-Skopeo is available for Windows, macOS, and Linux and supports the Arm architecture. Refer to [Installing Skopeo](https://github.com/containers/skopeo/blob/main/install.md) for information about other operating systems and architectures.
+Skopeo is available for Windows, macOS, and Linux and supports the Arm architecture. See [Installing Skopeo](https://github.com/containers/skopeo/blob/main/install.md) for further information about other operating systems and architectures.
 
 ## What should I consider before installing Skopeo on Arm?
 
@@ -56,13 +56,13 @@ Confirm the installation by checking the version:
 skopeo --version
 ```
 
-To see the help message:
+To see the help message use this command:
 
 ```bash
 skopeo --help
 ```
 
-The output is:
+The output that you will see should be:
 
 ```output
 Various operations with container images and container image registries
@@ -72,44 +72,44 @@ Usage:
   skopeo [command]
 
 Available Commands:
-  copy                                          Copy an IMAGE-NAME from one location to another
-  delete                                        Delete image IMAGE-NAME
-  generate-sigstore-key                         Generate a sigstore public/private key pair
-  help                                          Help about any command
-  inspect                                       Inspect image IMAGE-NAME
-  list-tags                                     List tags in the transport/repository specified by the SOURCE-IMAGE
-  login                                         Login to a container registry
-  logout                                        Logout of a container registry
-  manifest-digest                               Compute a manifest digest of a file
-  standalone-sign                               Create a signature using local files
-  standalone-verify                             Verify a signature using local files
-  sync                                          Synchronize one or more images from one location to another
+  copy                                          Copy an IMAGE-NAME from one location to another.
+  delete                                        Delete image IMAGE-NAME.
+  generate-sigstore-key                         Generate a sigstore public/private key pair.
+  help                                          Help about any command.
+  inspect                                       Inspect image IMAGE-NAME.
+  list-tags                                     List tags in the transport/repository specified by the SOURCE-IMAGE.
+  login                                         Log in to a container registry.
+  logout                                        Log out of a container registry.
+  manifest-digest                               Compute a manifest digest of a file.
+  standalone-sign                               Create a signature using local files.
+  standalone-verify                             Verify a signature using local files.
+  sync                                          Synchronize one or more images from one location to another.
 
 Flags:
-      --command-timeout duration   timeout for the command execution
-      --debug                      enable debug output
-  -h, --help                       help for skopeo
-      --insecure-policy            run the tool without any policy check
-      --override-arch ARCH         use ARCH instead of the architecture of the machine for choosing images
-      --override-os OS             use OS instead of the running OS for choosing images
-      --override-variant VARIANT   use VARIANT instead of the running architecture variant for choosing images
-      --policy string              Path to a trust policy file
-      --registries.d DIR           use registry configuration files in DIR (e.g. for container signature storage)
-      --tmpdir string              directory used to store temporary files
-  -v, --version                    Version for Skopeo
+      --command-timeout duration   Timeout for the command execution.
+      --debug                      Enable debug output.
+  -h, --help                       Help for skopeo.
+      --insecure-policy            Run the tool without any policy check.
+      --override-arch ARCH         Use ARCH instead of the architecture of the machine for choosing images.
+      --override-os OS             Use OS instead of the running OS for choosing images.
+      --override-variant VARIANT   Use VARIANT instead of the running architecture variant for choosing images.
+      --policy string              Path to a trust policy file.
+      --registries.d DIR           Use registry configuration files in DIR (for example, for container signature storage).
+      --tmpdir string              Directory used to store temporary files.
+  -v, --version                    Version for Skopeo.
 
 Use "skopeo [command] --help" for more information about a command.
 ```
 
 ## How do I get started with Skopeo?
 
-Some commands to get you started with Skopeo are demonstrated below.
+You can use the commands listed below to get you started with Skopeo.
 
 ### How can I check if a container image supports Arm?
 
 To find out if an image is multi-architecture, including Arm, you can inspect the image's manifest.
 
-For example, to check if the dev container available for creating Arm Learning Paths supports the Arm architecture run:
+For example, to check if the dev container available for creating Arm Learning Paths supports the Arm architecture, run:
 
 ```bash
 skopeo inspect --raw docker://docker.io/armswdev/learn-dev-container:latest | jq '.manifests[] | select(.platform.architecture == "arm64")'
@@ -166,7 +166,7 @@ The output confirms that both `arm64` and `amd64` are supported architectures as
 
 ## What are some other uses for Skopeo?
 
-Copy an image from a registry to a local directory. This command is similar to `docker pull` and will copy the image from the remote registry to your local directory.
+Copy an image from a registry to a local directory. This command is similar to `docker pull` and copies the image from the remote registry to your local directory.
 
 ```bash
 skopeo copy docker://docker.io/armswdev/uname:latest dir:./uname

content/learning-paths/cross-platform/function-multiversioning/examples2.md

@@ -10,8 +10,6 @@ This example computes the dot product of two vectors using Arm C Language Extens
 
 The intention is to enable the compiler to use SVE instructions in the specialized case, while restricting it to use only Armv8 instructions in the default case.
 
-More details on the default implementation can be found in [Implement dot product of two vectors](/learning-paths/smartphones-and-mobile/android_neon/dot_product_neon).
-
 Use a text editor to create a file named `dotprod.c` with the code below:
 
 ```c

content/learning-paths/cross-platform/remoteit/components.md

@@ -14,7 +14,7 @@ weight: 2
 | Desktop          | Windows, macOS, and Linux       | initiator and target |
 | CLI              | Windows, macOS, and Linux       | initiator and target |
 | Device package   | Linux, OpenWRT, and many others | target only          |
-| Mobile           | Andoid, iOS                     | initiator (Android and iOS) and target (Android only)  |
+| Mobile           | Android, iOS                    | initiator (Android and iOS) and target (Android only)  |
 
 Any software package marked as `initiator` can connect to other `target` devices. The target software packages can receive connections from other devices. Packages marked as both initiator and target can do both functions.
 

content/learning-paths/laptops-and-desktops/_index.md

@@ -11,9 +11,9 @@ operatingsystems_filter:
 - Android: 2
 - Baremetal: 1
 - ChromeOS: 1
-- Linux: 29
-- macOS: 7
-- Windows: 38
+- Linux: 27
+- macOS: 5
+- Windows: 36
 subjects_filter:
 - CI-CD: 3
 - Containers and Virtualization: 6
@@ -24,7 +24,7 @@ title: Laptops and Desktops
 tools_software_languages_filter:
 - .NET: 12
 - Alacritty: 1
-- Android Studio: 2
+- Android Studio: 1
 - Arm Development Studio: 2
 - Arm64EC: 1
 - assembly: 1
@@ -36,7 +36,7 @@ tools_software_languages_filter:
 - CCA: 1
 - Clang: 10
 - CMake: 2
-- Coding: 19
+- Coding: 17
 - CSS: 1
 - Docker: 4
 - GCC: 9
@@ -68,7 +68,7 @@ tools_software_languages_filter:
 - Trusted Firmware: 1
 - Visual Studio: 10
 - Visual Studio Code: 9
-- VS Code: 2
+- VS Code: 3
 - Windows Forms: 1
 - Windows Performance Analyzer: 1
 - Windows Presentation Foundation: 1

content/learning-paths/laptops-and-desktops/win-opencv/1-opencv-compilers.md

@@ -8,73 +8,33 @@ layout: learningpathall
 
 ## What is OpenCV?
 
-OpenCV (Open Source Computer Vision Library) is a popular, open-source library that developers use to build computer vision applications. It provides a set of tools and functions that help you handle tasks related to images and videos without needing to write everything from scratch. 
+Open Source Computer Vision Library (OpenCV) is a popular, Open Source library that developers can use to build computer vision applications. It provides a set of tools and functions that can help you with tasks handling images and videos. 
 
-Here’s what developers should know:
+Here are some of the benefits of using OpenCV:
 
-* __Ease of Use__: OpenCV comes with pre-built functions for common tasks like reading, displaying, and processing images and videos. This saves time compared to writing algorithms from the ground up.
+* __Ease of Use__: OpenCV comes with pre-built functions for common tasks such as reading, displaying, and processing images and videos. This saves time compared to needing to cover absolutely every detail when writing an algorithm.
 
-* __Image Processing__: You can perform operations like changing colors, applying filters, resizing, rotating, and other transformations to images with minimal code.
+* __Image Processing__: You can perform operations such as changing colors, applying filters, resizing, rotating, and make other transformations to images with minimal coding effort.
 
-* __Video Handling__: Developers can use OpenCV to capture, modify, and analyze video frames, making it ideal for creating applications like video surveillance or video editing tools.
+* __Video Handling__: Developers can use OpenCV to capture, modify, and analyze video frames, making it ideal for creating applications such as video surveillance or video editing tools.
 
-* __Computer Vision Algorithms__: OpenCV includes built-in algorithms for complex tasks like object detection (e.g., face and eye recognition), edge detection, and image segmentation.
+* __Computer Vision Algorithms__: OpenCV includes built-in algorithms for complex tasks such as:
 
-* __Machine Learning__: It includes modules for training models using basic machine learning algorithms, which can be applied for pattern recognition and data analysis in visual data.
+    * Object detection; for example, face and eye recognition.
+    * Edge detection.
+    * Image segmentation.
 
-* __Community and Resources__: Being open-source and widely adopted, there is a large community of developers contributing to and supporting OpenCV. This makes it easier to find tutorials, documentation, and answers to questions.
+* __Machine Learning__: OpenCV includes modules for training models using basic machine learning algorithms, which can be applied for pattern recognition and data analysis in visual data.
 
+* __Community and Resources__: As OpenCV is Open Source and widely adopted, there is a large community of developers both contributing to, and supporting, OpenCV. This makes it easier to find tutorials, documentation, and answers to questions, as there are many resources available.
 
-## Which compilers are available for Windows on Arm Development?
-
-MSVC (Microsoft Visual C++) and Clang are options for developers building Windows on Arm applications.
-
-* __MSVC__: A compiler developed by Microsoft that’s part of the Visual Studio IDE. It’s designed specifically for Windows and integrates well with the Windows development ecosystem.
-
-* __Clang__: An open-source compiler that is part of the LLVM project. It’s known for its modern design and cross-platform capabilities. 
-
-MSVC is ideal for Windows-focused projects needing seamless integration with Visual Studio. Clang is ideal for cross-platform projects or when using modern C++ features.
-
-## Before you begin
-
-Any Windows on Arm machine which has the required tools installed can be used for this Learning Path. You will learn how to build OpenCV using both MSVC and Clang. 
-
-Please install the following tools required for both methods.
-
-* [CMake](/install-guides/cmake)
 
-{{% notice Note %}}
-The instructions were tested with the version 3.28.1
-{{% /notice %}}
-
-* [Git](https://git-scm.com/downloads/win)
-
-{{% notice Note %}}
-There is currently no Arm version of Git. Install the 64-bit x86 version.
-{{% /notice %}}
-
-Follow the link to install the required tools for a method using MSVC.
-
-* [Visual Studio 2022 or higher](/install-guides/vs-woa). 
-
-{{% notice Note %}}
-The instructions were tested with Visual Studio 2022.
-{{% /notice %}}
-
-To build using Clang, please install the following.
-
-* [LLVM](/install-guides/llvm-woa/)
+## Which compilers are available for Windows on Arm Development?
 
-{{% notice Note %}}
-The instructions were tested with the version 18.1.8.
-{{% /notice %}}
+MSVC (Microsoft Visual C++) and Clang are both compilers that are available for developers building Windows on Arm applications.
 
-* [Ninja]( https://github.com/ninja-build/ninja/releases)
+* __MSVC__: Developed by Microsoft, MSVC is a compiler that is part of the Visual Studio IDE. It is designed specifically for Windows, and integrates well with the Windows development ecosystem. MSVC is ideal for Windows-focused projects requiring seamless integration with Visual Studio.
 
-{{% notice Note %}}
-The instructions were tested with version 1.11.1
-{{% /notice %}}
+* __Clang__: Part of the LLVM project, Clang is an Open Source compiler that is known for its modern design and cross-platform capabilities. Clang is better suited to cross-platform projects, or when using modern C++ features.
 
-Make sure LLVM Clang and Ninja are in your search path. If they are not, you can use Windows Control Panel to set the PATH environment variable.
 
-You now have the required development tools installed. Please proceed to the page for the compiler you want to build with.