OpenCV Alternatives
Similar projects and alternatives to OpenCV
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Scout APM
Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.
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EasyOCR
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
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SonarQube
Static code analysis for 29 languages.. Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free.
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Pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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Pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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ITK
Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.
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openpilot
openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for over 150 supported car makes and models.
OpenCV reviews and mentions
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stereodemo: compare several recent stereo depth estimation methods in the wild
OpenCV stereo block matching and semi-global block matching baselines, with all their parameters
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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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OpenCV integration in Unreal Engine problem
I installed opencv version 4.5.5, the latest available to date (02/05/2022), via https://github.com/opencv/opencv/releases (file: opencv-4.5.5-vc14_vc15.exe)
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Get Started with Face Detection
Download a pre-trained model (file here) for frontal face detection from the OpenCV GitHub project - to be placed in your working directory.
- [HELP] Looking for CV2 functions math and implementation details
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Scanning Barcode and QR Code Using Webcam, OpenCV and Python
It is known that Python's GIL (Global Interpreter Lock) is a performance bottleneck for multi-threaded applications. Therefore, it is recommended to use Python's multiprocessing library to run barcode and QR code detection algorithm which is CPU-intensive. The sample code video_threaded.py demonstrates how to use Python's multiprocessing library.
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Processing images in Java with OpenCV and Quarkus
If you are into Computer vision, you probably are familiar with OpenCV. Its an amazing library that has almost everything one needs to do 2D and 3D processing and much more. Gesture recognition, face detection, Motion tracking, think of anything related to image processing and OpenCV can be your goto. Its based on the BSD license, so you can just download it and start using it.
- can anyone help with changing my code from tracking with colours to tracking using shape of the ball only. So my program can become more versatile?? Seen something online but cant follow. OPENCV
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[Linux] Camera resolution won't save/apply.
From what I've gathered, it's possible that the GPU [Nvidia 650M] isn't compatible with FFmpeg/NVENC. Resulting in ````Error: ffmpegbase: Main: Couldn't create AV_HWDEVICE_TYPE_NONE decoder. Using CPU instead. Though setting the decoder to use CPU still doesn't allow the resolution to change. It will change in the terminal, IE; opening /dev/video2 with opts video_size=1920x1080 but it doesn't seem to change in the agent as opening /dev/video2 with opts video_size=160x90 looks identical. I'm not sure what I'm missing, what can I do to fix this? Logs Starting... Using default media location Creating temp path for opencv in /tmp/ Get com port list Using default port (8090) Local Server running on port 8090 H264 compatible version of ffmpeg is required to use H264 encoding. Switch to VP8 in settings if unable to record. Accepting http connections at http://*:8090/ Access locally at http://192.168.50.121:8090 Agent (v3.9.0.0) Log start Process is 64 bit Using WorkStation GC Init Webrtc Init FFmpeg Looking for ffmpeg in /usr/local/lib Not in there.. Looking for ffmpeg in /usr/lib/x86_64-linux-gnu ffmpeg path: /usr/lib/x86_64-linux-gnu Initializing devices vdpau ZeroConf: ZeroConf Service Started cuda vaapi drm opencl Found 4 devices List Devices: /dev/video3 call ffplay -nodisp -f v4l2 -list_formats all /dev/video3 [video4linux2,v4l2 @ 0x7f1e50000bc0] ioctl(vidioc_g_input): inappropriate ioctl for device List Devices: /dev/video2 call ffplay -nodisp -f v4l2 -list_formats all /dev/video2 [video4linux2,v4l2 @ 0x7f3304000bc0] raw : yuyv422 : yuyv 4:2:2 : 640x480 160x90 160x120 176x144 320x180 320x240 352x288 432x240 640x360 800x448 800x600 864x480 960x720 1024x576 1280x720 1600x896 1920x1080 2304x1296 2304x1536 List Devices: /dev/video1 call ffplay -nodisp -f v4l2 -list_formats all /dev/video1 [video4linux2,v4l2 @ 0x7f2f7c000bc0] ioctl(vidioc_g_input): inappropriate ioctl for device List Devices: /dev/video0 call ffplay -nodisp -f v4l2 -list_formats all /dev/video0 [video4linux2,v4l2 @ 0x7f6ee8000bc0] raw : yuyv422 : yuyv 4:2:2 : 640x480 384x216 352x288 320x240 176x144 160x120 1280x720 call arecord -l Preloading Images Turn Server accepting connections at 192.168.50.121:3478 using range 50000-50010) MQTT not configured or enabled Loaded 1 cameras and 0 mics from /home/toor/AgentDVR/Media/XML/objects.xml Running at http://localhost:8090 Enable: Main: Enabled opening /dev/video2 with opts video_size=1920x1080 IP addresses: 192.168.50.121 found 192.168.50.1 found 192.168.50.65 found 192.168.50.7 found 192.168.50.43 found 192.168.50.121 found 192.168.50.137 Start Stream: Main: Using software decoder found 192.168.50.136 [ WARN:0] global /home/sean/Desktop/emgucv/opencv/modules/core/src/matrix_expressions.cpp (1334) assign OpenCV/MatExpr: processing of multi-channel arrays might be changed in the future: https://github.com/opencv/opencv/issues/16739 rtc:added servers rtc:inited peer connection (True) rtc:set flag rtc:onsuccessanswer ICE state: Checking ICE state: Connected rtc:ondatachannelstatechange (serverdata: Open) rtc: opened serverdata rtc:ondatachannelstatechange (talk: Open) rtc: opened talk Found 4 devices List Devices: /dev/video3 call ffplay -nodisp -f v4l2 -list_formats all /dev/video3 [video4linux2,v4l2 @ 0x7f4604000bc0] ioctl(vidioc_g_input): inappropriate ioctl for device List Devices: /dev/video2 call ffplay -nodisp -f v4l2 -list_formats all /dev/video2 [video4linux2,v4l2 @ 0x7f2f4c000bc0] raw : yuyv422 : yuyv 4:2:2 : 640x480 160x90 160x120 176x144 320x180 320x240 352x288 432x240 640x360 800x448 800x600 864x480 960x720 1024x576 1280x720 1600x896 1920x1080 2304x1296 2304x1536 List Devices: /dev/video1 call ffplay -nodisp -f v4l2 -list_formats all /dev/video1 [video4linux2,v4l2 @ 0x7faa04000bc0] ioctl(vidioc_g_input): inappropriate ioctl for device List Devices: /dev/video0 call ffplay -nodisp -f v4l2 -list_formats all /dev/video0 [video4linux2,v4l2 @ 0x7fa6b8000bc0] raw : yuyv422 : yuyv 4:2:2 : 640x480 384x216 352x288 320x240 176x144 160x120 1280x720 call arecord -l SourcePlayingFinished: Main: Playing finished (Restart) intervals: Main: Reconnecting intervals: Main: Reconnect Exit opening /dev/video2 with opts video_size=1920x1080 Start Stream: Main: Using software decoder SourcePlayingFinished: Main: Playing finished (StoppedByUser) opening /dev/video2 with opts video_size=1920x1080 Enable: Main: Enabled Start Stream: Main: Using software decoder StartSaving: Main: opening with base codec AV_CODEC_ID_H264 Opening codec mediaWriter: Main: Using CPU encoder
- [Question] - capturing video
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Classify a person image is full body or not
Another solution could be to run the full body haar cascade https://github.com/opencv/opencv/blob/master/data/haarcascades/haarcascade_fullbody.xml on the output of the yolov5, and let it decide.
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Image processing software
Using OpenCV for handling the images and Tesseract for the text part will do the trick.
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Face Detection with OpenCV (for complete Dummies)
This is a very dumb and straightforward tutorial that is meant to be a complete newbie intro into face detection. I'll be using OpenCV for this, and python for simplicity, however if you want to scale you might want to rewrite this in C++. Python is great for prototyping so I'll stick with this.
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sbc for opencv
1) Make sure you update all your software, even the OS. People are actively working on making it faster out of the box, but who knows, you may need to compile it yourself.
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Image stitching
I believe this is it here: https://github.com/opencv/opencv/blob/4.x/modules/stitching/src/matchers.cpp
Stats
opencv/opencv is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
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