opencv_contrib
BenchmarkDotNet
opencv_contrib | BenchmarkDotNet | |
---|---|---|
19 | 67 | |
9,082 | 10,036 | |
0.8% | 1.0% | |
8.5 | 9.2 | |
8 days ago | 8 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.
opencv_contrib
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[Question] How to find affine transformation between contours?
I managed to use the cv2.ximgproc.ContourFitting in cpp instead of python with the help of the demo: https://github.com/opencv/opencv_contrib/blob/3.4.0/modules/ximgproc/samples/fourier_descriptors_demo.cpp
- I was Trying to install Opencv with Cuda in my TX2 NX- but facing this issue....., also i tried to install it through Nvidia SDK but got multimedia error.
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how to fix failed to fetch error when installing OpenCV on raspberry pi?
wget -O opencv_contrib.zip https://github.com/opencv/opencv_contrib/archive/4.1.0.zip
- Fix(WeChat_qrcode): Init nBytes after the count value is determined
- [Bug] Can't compile OpenCV on Ubuntu 22.04 Nvidia 525.60.13 Cuda 12
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[Bug] Problem compiling OpenCV with CUDA support on Ubuntu
The issue has been reported here: https://github.com/opencv/opencv_contrib/issues/3390
- TrackerCSRT source code
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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
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[Question] Easiest way to detect ethnicity using OpenCV & C++?
As the title implies, I'm looking for the simplest way to detect race/ethnicity in a photo (or a frame by frame video, shouldn't big a big difference) using OpenCV (I'm using the opencv-contrib build) and C++. I'm a complete beginner.
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HOWTO: Install OpenCV in Raspberry Pi OS (Buster)
git clone https://github.com/opencv/opencv.git git clone https://github.com/opencv/opencv_contrib.git mkdir ~/opencv/build cd ~/opencv/build
BenchmarkDotNet
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Stop Guessing, Start Measuring: Transform Your Code with BenchmarkDotnet!
Let’s look at the first example you see, when you open up BenchmarkDotnet’s website, or Github page.
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Benchmarking 20 programming languages on N-queens and matrix multiplication
Or use BenchmarkDotNet which, among other things to get an accurate benchmark, does JIT warmup outside of measurement.
( https://github.com/dotnet/BenchmarkDotNet ).
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How to improve C# performance on matrix multiplication example?
You can also do proper statistically correct benchmarking by using - https://github.com/dotnet/BenchmarkDotNet. This will run warmup the jit, gauge the overheads, and run your function many times to give you proper data.
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C# Memory Profiler on VSCode
take a look at: https://benchmarkdotnet.org/
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standard events vs MVVM Reference Messenger
Yes, weak references are slower than direct calls. How much slower? Heck if I know offhand. But it's usually pretty easy to set up something with Benchmark .NET and find out if it hurts your use case.
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Mechanisms and Performance when querying data to SQLServer from C#
For this purpose we are going to use our beloved BenchmarkDotNet tool.
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Object Mapping in .NET
To quantify and compare the performance of the object mapping strategies discussed earlier, we can employ BenchmarkDotNet.
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Exploring Code Performance Testing in C# with BenchmarkDotNet
BenchmarkDotNet is a popular open-source library that, as stated in the repo's README.md, helps us to transform methods into benchmarks, track their performance, and share reproducible measurement experiments. Using BenchmarkDotNet feels similar to writing unit tests. It's very important to note that the library only works with console apps. Finally, we can visualize the results in the terminal where the benchmark ran or in user-friendly formats such as markdown, HTML and CSV. We will explore examples of there formats later in the article.
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Is it okay to lock on a StringBuilder, on which StringBuilrer I perform some operations on?
However, obviously this prevents parallelism within the lock, so this only makes sense if you do some other expensive operation in the parallel loop and the string builder is only a small part of it. Performance wise, it may be better to concatenate the results together after the parallel operation, instead of locking inside the loop. You'll have to benchmark it to know for sure.
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Iterator Benchmarks That Shocked With Unexpected Results!
We’re of course going to be using BenchmarkDotNet for our benchmarks, and you can find all of the code for these over at GitHub. To start, we need an entry point hook for our single Benchmark class that will be defining the permutations of scenarios that we’d like to run. This will be relatively basic as follows:
What are some alternatives?
zephyr - Primary Git Repository for the Zephyr Project. Zephyr is a new generation, scalable, optimized, secure RTOS for multiple hardware architectures.
App.Metrics - App Metrics is an open-source and cross-platform .NET library used to record and report metrics within an application.
OpenCV - Open Source Computer Vision Library
CodeMaid - CodeMaid is an open source Visual Studio extension to cleanup and simplify our C#, C++, F#, VB, PHP, PowerShell, JSON, XAML, XML, ASP, HTML, CSS, LESS, SCSS, JavaScript and TypeScript coding.
openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Metrics-Net - The Metrics.NET library provides a way of instrumenting applications with custom metrics (timers, histograms, counters etc) that can be reported in various ways and can provide insights on what is happening inside a running application.
OpenCvSharp - OpenCV wrapper for .NET
StyleCop - Analyzes C# source code to enforce a set of style and consistency rules.
dotnet-docker - Docker images for .NET and the .NET Tools.
Bogus - :card_index: A simple fake data generator for C#, F#, and VB.NET. Based on and ported from the famed faker.js.
OpenFrameworks - openFrameworks is a community-developed cross platform toolkit for creative coding in C++.
.NET Compiler Platform ("Roslyn") Analyzers