OpenCvSharp
Damselfly
OpenCvSharp | Damselfly | |
---|---|---|
9 | 120 | |
5,150 | 1,354 | |
- | - | |
7.4 | 9.2 | |
14 days ago | 20 days ago | |
C# | C# | |
Apache License 2.0 | GNU General Public License v3.0 only |
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 canβt 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
Damselfly
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Is there a way to remove metadata from an image file?
Code is here if you're interested: https://github.com/Webreaper/Damselfly/blob/master/Damselfly.Core/Services/ExifService.cs - although this may be overcomplicated for OP's needs, and just a Process Launch is all you really need.
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How do I put a limit in client requests in Blazor Server?
Here's mine: https://github.com/Webreaper/Damselfly/blob/master/Damselfly.Core.Utils/Utils/EventConflator.cs
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52.000 images: sort, move, delete
Okay, released this today: https://github.com/Webreaper/Damselfly/releases/tag/4.0.5
- What funding model of component libraries do you prefer?
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The most popular applications using Blazor 5 years after its creation
Not quite at 1,000 github stars, but getting there: Damselfly
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What languages are more suited to Mac?
I've been developing with C# on Macs for years. I built this, which I develop on Mac and run on Linux. Some people run it on Macs, some run it on Windows. https://github.com/webreaper/Damselfly
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Check out my Blazor Server web app for face recognition!
(my project: https://github.com/webreaper/Damselfly)
- Need advice about running a photo server for family
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Looking for a photo organizer with a decent map
Have a go with my app then (https://github.com/webreaper/Damselfly) and see if the maps are better. It's free, and you can run it alongside Photoprism with no ill effects.
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What's a software you searched to selfhost but is still missing to you ?
Sorry, in a few threads this morning and thought I'd linked it here. It's Damselfly
What are some alternatives?
Emgu CV - Emgu CV is a cross platform .Net wrapper to the OpenCV image processing library.
PhotoPrism - AI-Powered Photos App for the Decentralized Web ππβ¨
ImageSharp - :camera: A modern, cross-platform, 2D Graphics library for .NET
librephotos-docker - You can find here the Dockerfiles for the automated build process of LibrePhotos.
ML.NET - ML.NET is an open source and cross-platform machine learning framework for .NET.
Paperless-ng - A supercharged version of paperless: scan, index and archive all your physical documents
Magick.NET - The .NET library for ImageMagick
self-hosted-cookbook - A cookbook, for docker-compose based recipes, for self-hosted applications and services.
ImageProcessor - :camera: A fluent wrapper around System.Drawing for the processing of image files.
dashboard-icons - π Dashboard Icons has moved to another home!
MetadataExtractor - Extracts Exif, IPTC, XMP, ICC and other metadata from image, video and audio files
syncthing-android - Wrapper of syncthing for Android.