OpenCvSharp
SkiaSharp
OpenCvSharp | SkiaSharp | |
---|---|---|
9 | 25 | |
5,150 | 4,143 | |
- | 2.5% | |
7.4 | 8.8 | |
14 days ago | 4 days ago | |
C# | C# | |
Apache License 2.0 | MIT License |
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.
OpenCvSharp
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Image Feature Detection and Matching using OpenCvSharp - First Steps Towards VinylEye
In a previous post, I have gone through the process for building a Docker Image for OpenCVSharp that supports multiple processor architectures.
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Does there exist an API accessible from C# that detects faces in images?
Alternatively, you can get into the nitty gritty of face detection yourself. OpenCV is a massive, open source project for all kinds computer vision tasks. Without jumping into the proprietary world, this is one of the most popular and capable computer vision libraries available. While powerful, OpenCV is comparatively low level; giving you the tools you need to accomplish your task, rather than a direct, single method to call. This tutorial goes into depth on how you'd go about training facial models to create your own detection methods. You'll notice that the example is written in C++. The con with this option (aside from it being more complex) is that OpenCV is largely used in the context of C++ or Python. However, it does have C# wrappers. Emgu CV is probably the most popular .NET wrapper for OpenCV, though there are other wrappers available. Here is a nice tutorial using OpenCVSharp, which is a bit closer to the native C++ API OpenCV uses.
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Compress/resize images
Another option for more advanced image manipulation - use OpenCV wrapper like opencvsharp. I haven't done much benchmarking, but from my understanding this is considerably faster option than anything made in managed code (like ImageSharp), but coming at the cost of native dependency and a bit more C++-style API and other quirks of OpenCV.
- Creating a NuGet package with static dependencies AND a native assembly wrapper?
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Universal UI testing based on image and text recognition
In order to do so, I had to learn about the basics of image processing. I was able to find an image within another with a technique called template matching, and I used an OpenCV wrapper made for .NET. I will not go through the technical details here, but you can find the relevant source code in my GitHub repository.
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Docker multi-architecture, .NET 6.0 and OpenCVSharp
FROM debian:bullseye-slim AS build-native-env ARG TARGETPLATFORM ENV DEBIAN_FRONTEND=noninteractive # 4.5.5: released 25 Dec 2021 ENV OPENCV_VERSION=4.5.5 # 4.5.3.20211228: released 28 Dec 2021 ENV OPENCVSHARP_VERSION=4.5.3.20211228 WORKDIR / # install dependencies required for building OpenCV and OpenCvSharpExtern RUN apt-get update && apt-get -y install --no-install-recommends \ # details omitted \ libgdiplus # Get OpenCV and opencv-contrib sources using the specified release. RUN wget https://github.com/opencv/opencv/archive/${OPENCV_VERSION}.zip && \ unzip ${OPENCV_VERSION}.zip && \ rm ${OPENCV_VERSION}.zip && \ mv opencv-${OPENCV_VERSION} opencv RUN wget https://github.com/opencv/opencv_contrib/archive/${OPENCV_VERSION}.zip && \ unzip ${OPENCV_VERSION}.zip && \ rm ${OPENCV_VERSION}.zip && \ mv opencv_contrib-${OPENCV_VERSION} opencv_contrib # configure and build OpenCV optionally specifying architecture related cmake options. RUN if [ "$TARGETPLATFORM" = "linux/amd64" ]; then \ ADDITIONAL_FLAGS='' ; \ elif [ "$TARGETPLATFORM" = "linux/arm64" ]; then \ ADDITIONAL_FLAGS='-D ENABLE_NEON=ON -D CPU_BASELINE=NEON ' ; \ elif [ "$TARGETPLATFORM" = "linux/arm/v7" ]; then \ ADDITIONAL_FLAGS='-D CPU_BASELINE=NEON -D ENABLE_NEON=ON ' ; \ fi && cd opencv && mkdir build && cd build && \ cmake $ADDITIONAL_FLAGS \ # additional flags omitted for clarity \ && make -j$(nproc) \ && make install \ && ldconfig # Download OpenCvSharp to build OpenCvSharpExtern native library RUN git clone https://github.com/shimat/opencvsharp.git RUN cd opencvsharp && git fetch --all --tags --prune && git checkout ${OPENCVSHARP_VERSION} WORKDIR /opencvsharp/src RUN mkdir /opencvsharp/make \ && cd /opencvsharp/make \ && cmake -D CMAKE_INSTALL_PREFIX=/opencvsharp/make /opencvsharp/src \ && make -j$(nproc) \ && make install \ && cp /opencvsharp/make/OpenCvSharpExtern/libOpenCvSharpExtern.so /usr/lib/ \ && ldconfig # Copy the library and dependencies to /artifacts (to be used by images consuming this build) # cpld.sh will copy the library we specify (./libOpenCvSharpExtern.so) and any dependencies # to the /artifacts directory. This is useful for sharing the library with other images # consuming this build. # credits: Hemanth.HM -> https://h3manth.com/content/copying-shared-library-dependencies WORKDIR /opencvsharp/make/OpenCvSharpExtern COPY cpld.sh . RUN chmod +x cpld.sh && \ mkdir /artifacts && \ ./cpld.sh ./libOpenCvSharpExtern.so /artifacts/ RUN cp ./libOpenCvSharpExtern.so /artifacts/ # Publish the artefacts using a clean image FROM debian:bullseye-slim AS final RUN mkdir /artifacts COPY --from=build-native-env /artifacts/ /artifacts WORKDIR /artifacts
- Why we can’t use C++ in WPF?
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What's the fastest way to get pixel data from a Bitmap?
Maybe opencv will be faster? https://github.com/shimat/opencvsharp
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image classification in .net with webcam
hello. the quickest way to access webcam in .NET would be use this package shimat/opencvsharp: OpenCV wrapper for .NET (github.com) and give feedback about using the lobe.OpenCVSharp binding to help you classify the images
SkiaSharp
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Jellyfin: The Free Software Media System
It looks like the port was compiled with a binary SkiaSharp [0] since that requires Google tooling to build. Interesting to see the committer allowing this. Apparently it is not the first time.
0. https://github.com/mono/SkiaSharp
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System.Drawing just dosen't work
The library that I've had the best luck with is SkiaSharp with .net 3.1. That said, I agree with others that I'd update the version of .net if possible.
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Open-source cross-platform C# library that encode .BMP files?
Found this issue that basically say it's not supported in skia directly, and it's right, from this page it seems only supported on iOS/Mac. This is pretty frustrating considering the documentation of SkiaSharp Encode() doesn't mention it.
- Easy-to-use 2D graphics libraries
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Creating 2d Interactive Building Map with Blazor.
Yes, I'm not aware of any way to use either the canvas api or webgl directly. This project has bindings for the canvas API, but it hasn't been updated in two years:https://github.com/BlazorExtensions/Canvas. SkiaSharp seems a nice option too: https://github.com/mono/SkiaSharp. It supports graphics across a whole load of platforms, including Blazor on the web.
- What library should I use to make basic 2D graphics which is simple to use and that is able to quickly draw a bunch of particles (circles) on the screen with updating positions every frame? (Not the best description ever. I explain it better in the post's text)
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Compress/resize images
If you want pure .NET, cross-platform, and future compatibility, SkiaSharp is the new way to do it.
- ImageSharp leaving the .NET Foundation due to licensing change
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Problem using Plugin.Firebase on IOS
This seems to be a clash with skiasharp. The other package I have which uses skiasharp is Mapsui Possibly related to this issue with SkiSharp mono/SkiaSharp#1879
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Blazor Hybrid looks amazing
This is interesting since SkiaSharp says:
What are some alternatives?
Emgu CV - Emgu CV is a cross platform .Net wrapper to the OpenCV image processing library.
Microsoft.Maui.Graphics - An experimental cross-platform native graphics library.
ImageSharp - :camera: A modern, cross-platform, 2D Graphics library for .NET
MonoGame - One framework for creating powerful cross-platform games.
ML.NET - ML.NET is an open source and cross-platform machine learning framework for .NET.
Microcharts - Create cross-platform (Xamarin, Windows, ...) simple charts.
Magick.NET - The .NET library for ImageMagick
QuestPDF - QuestPDF is a modern open-source .NET library for PDF document generation. Offering comprehensive layout engine powered by concise and discoverable C# Fluent API. Easily generate PDF reports, invoices, exports, etc.
ImageProcessor - :camera: A fluent wrapper around System.Drawing for the processing of image files.
Maui - The .NET MAUI Community Toolkit is a community-created library that contains .NET MAUI Extensions, Advanced UI/UX Controls, and Behaviors to help make your life as a .NET MAUI developer easier
MetadataExtractor - Extracts Exif, IPTC, XMP, ICC and other metadata from image, video and audio files
iFakeLocation - Simulate locations on iOS devices on Windows, Mac and Ubuntu.