ImageSharp
OpenCvSharp
Our great sponsors
ImageSharp | OpenCvSharp | |
---|---|---|
34 | 9 | |
7,106 | 5,116 | |
1.6% | - | |
9.7 | 7.8 | |
1 day ago | about 2 months ago | |
C# | C# | |
GNU General Public License v3.0 or later | 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.
ImageSharp
- Is there a way to remove metadata from an image file?
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First automatic JPEG-XL cloud service
> High quality progressive decoding at reduced filesizes is a big positive for me.
This is really cool!
Honestly, I want to use regular progressive JPEGs for a current project of mine, but it seems that even that doesn't have support in all the tech stacks yet despite how long it's been around for, for example: https://github.com/SixLabors/ImageSharp/issues/449
Here's hoping that in the case of JPEG-XL this will be more commonplace!
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Unity’s New Pricing: A Wake-Up Call on the Importance of Open Source in Gaming
Here's an example:
https://github.com/SixLabors/ImageSharp/blob/main/LICENSE#L2...
https://news.ycombinator.com/item?id=33301518
Again, nothing stops someone from forking and maintaining.
Are you saying this is not legally enforceable? Because I am under the impression from my legal council it is. I can ask again to get more clarity.
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ChatGPT: Assisting you with your chords
ChatGPT is very good at being confidently incorrect. I asked it for some programming related thing and it gave me some code that used a class from a library as if it was generic, when it was not, and even made up some classes. You should also remember that things have since updated and things that might have been true back in 2020, may not be anymore. SixLabors.ImageSharp, for example has reworked some code since then and ChatGPT regularly messes up the methods that it uses, most notably Image.GetPixelSpan.
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Reasons to switch from python to dotnet ? Image processing involved
There is one in dot net too https://github.com/SixLabors/ImageSharp
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Compress/resize images
ImageSharp is another option, but could have licence implications.
- QR Code reader not dependant on System.Drawing
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GitHub - A Place to Fork
One example from the top of my head is ImageSharp.
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ImageSharp leaving the .NET Foundation due to licensing change
Library users should come together and fork the last open source version (https://github.com/SixLabors/ImageSharp/tree/v2.1.3) and maintain that together. Just having a version still available, even if it's got no new features, may be enough to make the Six Labors reconsider their approach because why pay for a library that can mostly work for free?
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TIL: mime types and static assets in Umbraco
Since .net doesn't yet support avif and neither does ImageSharp, files of this type just didn't have a MIME type available and trying to use them would result in a 404 error.
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
What are some alternatives?
Magick.NET - The .NET library for ImageMagick
Emgu CV - Emgu CV is a cross platform .Net wrapper to the OpenCV image processing library.
ImageProcessor - :camera: A fluent wrapper around System.Drawing for the processing of image files.
ML.NET - ML.NET is an open source and cross-platform machine learning framework for .NET.
ImageResizer - The official repository for ImageResizer
MetadataExtractor - Extracts Exif, IPTC, XMP, ICC and other metadata from image, video and audio files
TeximpNet
DotImaging - Minimalistic .NET imaging portable platform