Opencv 3 4 15

Author: f | 2025-04-24

Precompiled OpenCV 4.11 binaries for Raspberry Pi 3 4 - prepkg/opencv-raspberrypi Precompiled OpenCV 4.11 binaries for Raspberry Pi 3 4 - prepkg/opencv-raspberrypi

OE 4. OpenCV 4 opencv/opencv Wiki - GitHub

#5: Finishing the installWe’re almost there! Just a few more things and we’ll be 100% done.For Python 2.7:Provided you finished Step #4 without error, OpenCV should now be installed in /usr/local/lib/python2.7/site-packages :$ ls -l /usr/local/lib/python2.7/site-packages/total 1636-rw-r--r-- 1 root staff 1675144 Oct 17 15:25 cv2.soNote: In some instances OpenCV can be installed in /usr/local/lib/python2.7/dist-packages (note the dist-packages rather than site-packages ). If you do not find the cv2.so bindings in site-packages , be sure to check dist-packages as well.The last step here is to sym-link the OpenCV bindings into the cv virtual environment:$ cd ~/.virtualenvs/cv/lib/python2.7/site-packages/$ ln -s /usr/local/lib/python2.7/site-packages/cv2.so cv2.soFor Python 3:OpenCV should now be installed in /usr/local/lib/python3.4/site-packages :$ ls /usr/local/lib/python3.4/site-packages/cv2.cpython-34m.soFor some reason, unbeknownst to me, when compiling the Python 3 bindings the output .so file is named cv2.cpython-34m.so rather than cv2.so .Luckily, this is an easy fix. All we need to do is rename the file:$ cd /usr/local/lib/python3.4/site-packages/$ sudo mv cv2.cpython-34m.so cv2.soFollowed by sym-linking OpenCV into our cv virtual environment:$ cd ~/.virtualenvs/cv/lib/python3.4/site-packages/$ ln -s /usr/local/lib/python3.4/site-packages/cv2.so cv2.soStep #6: Verifying your OpenCV 3 installAt this point, OpenCV 3 should be installed on your Raspberry Pi running Raspbian Jessie!But before we wrap this tutorial up, let’s verify that your OpenCV installation is working by accessing the cv virtual environment and importing cv2 , the OpenCV + Python bindings:$ workon cv$ python>>> import cv2>>> cv2.__version__'3.0.0'You can see a screenshot of my terminal below, indicating that OpenCV 3 has been successfully installed:Figure 5: OpenCV 3 + Python 3 bindings have been successfully installed on my Raspberry Pi 2 running Rasbian Jessie.TroubleshootingQ. When I try to use the mkvirtualenv or workon commands, I get an error saying “command not found”.A. Go back to Step #3 and ensure your ~/.profile file has been updated properly. Once you have updated it, be sure to run source ~/.profile to reload it.Q. After I reboot/logout/open up a new terminal, I cannot run the mkvirtualenv or workon commands.A. Anytime you reboot your system, logout and log back in, or open up a new terminal, you should run source ~/.profile to make sure you have access to your Python virtual environments.Q. When I

opencv/CMakeLists.txt at 4.x opencv/opencv - GitHub

Our actual OpenCV + Python 2.7 bindings.Again, we’ll use the same ls and wildcard trick here to determine the proper path:$ ls -d /usr/local/Cellar/python/2.7.*/Frameworks/Python.framework/Versions/2.7/include/python2.7//usr/local/Cellar/python/2.7.12_2/Frameworks/Python.framework/Versions/2.7/include/python2.7/The output of the ls -d command is our full path to the Python.h headers. This value will replace ZZZ in the CMake template.Filling in the CMake templateNow that you’ve determined the PYTHON2_LIBRARY and PYTHON2_INCLUDE_DIR values you need to update the CMake command with these values.On my particular machine the full CMake command looks like this:$ cmake -D CMAKE_BUILD_TYPE=RELEASE \ -D CMAKE_INSTALL_PREFIX=/usr/local \ -D OPENCV_EXTRA_MODULES_PATH=~/opencv_contrib/modules \ -D PYTHON2_LIBRARY=/usr/local/Cellar/python/2.7.12_2/Frameworks/Python.framework/Versions/2.7/lib/python2.7/config/libpython2.7.dylib \ -D PYTHON2_INCLUDE_DIR=/usr/local/Cellar/python/2.7.12_2/Frameworks/Python.framework/Versions/2.7/include/python2.7/ \ -D PYTHON2_EXECUTABLE=$VIRTUAL_ENV/bin/python \ -D BUILD_opencv_python2=ON \ -D BUILD_opencv_python3=OFF \ -D INSTALL_PYTHON_EXAMPLES=ON \ -D INSTALL_C_EXAMPLES=OFF \ -D BUILD_EXAMPLES=ON ..However, please do not copy and paste my exact CMake command — make sure you have used the instructions above to properly determine your PYTHON2_LIBRARY and PYTHON2_INCLUDE_DIR values.Once you’ve filled in these values execute your cmake command and your OpenCV 3 + Python 2.7 build will be configured.As an example, take a look at the Python 2 section of the output from my configuration:Figure 8: Ensuring that Python 2.7 will be used when compiling OpenCV 3 for macOS.You’ll want to make sure that:The Interpreter points to the Python binary in your cv virtual environment.Libraries points to your libpython2.7.dylib file.The numpy version being utilized is the one you installed in your cv virtual environment.Step #8: Compile and install OpenCV on macOSAssuming you cmake command exited without error and your Python 2 section is properly configured, you can now compile OpenCV:$ make -j4The -j switch controls the number of parallel processes to compile OpenCV. We normally set this to the number of available cores/processors on our machine. Since I’m on a quad-core system, I use -j4 .OpenCV can take awhile to compile (30-90 minutes) depending on the speed of your machine. A successful compile will end with a 100% completion:Figure 9: Successfully compiling OpenCV 3 from source with Python 2.7 bindings on macOS.Assuming that OpenCV compiled without error, you can now install it on your macOS system:$ sudo make installStep #9: Sym-link your OpenCV 3 + Python 2.7 bindingsAfter running make install you should now see a file named cv2.so in /usr/local/lib/python2.7/site-packages :$ cd /usr/local/lib/python2.7/site-packages/$ ls -l cv2.so -rwxr-xr-x 1 root admin 3694564 Nov 15 09:20 cv2.soThe cv2.so file is your actual set of OpenCV 3 + Python 2.7 bindings.However, we need to sym-link these bindings into our cv virtual environment. This can be accomplished using the following commands:$ cd ~/.virtualenvs/cv/lib/python2.7/site-packages/$ ln -s /usr/local/lib/python2.7/site-packages/cv2.so cv2.so$ cd ~Step #10: Testing your OpenCV install on macOSTo verify that your OpenCV 3 + Python 2.7 installation on macOS is working:Open up a new terminal.Execute the workon command to access the cv Python virtual environment.Attempt to import the Python + OpenCV bindings.Here are the exact steps to test the install process:$ workon cv$ pythonPython 2.7.12 (default, Oct 11 2016, 05:20:59) [GCC 4.2.1 Compatible Apple LLVM 8.0.0 (clang-800.0.38)] on darwinType "help", "copyright", "credits" or "license" for more information.>>> import cv2>>> cv2.__version__'3.1.0-dev'>>>Note: Take note of the

opencv/cmake/OpenCVDownload.cmake at 4.x opencv/opencv

OpenCV is an open-source Python library whose main focus is computer vision, image processing, and ML (Machine Learning). The OpenCV library plays a huge role in real-time systems. It is capable of identifying photographs and videos and identifying human faces too. When used together with libraries such as Numpy, it is capable of processing the OpenCV array structure. That enables identifying image patterns and features where we use vector space and mathematical operations.OpenCV is available for several platforms, including Linux and Windows. In this tutorial, however, we will be installing OpenCV on our Raspberry Pi 4.Installing OpenCV on Raspberry Pi 4There are two methods you can use:Compile OpenCV from source (highly recommended Raspberry installation)Install OpenCV using Python Pip.For those who have worked with OpenCV before, you know installing the library source can be quite a time-consuming and painstaking process. For Linux newbies, skipping a single step while executing the Terminal commands can lead to a fatal error. A solution to this is installing OpenCV via Python Pip. Pip is easier and much faster, but from experience, while working on several projects, I wouldn’t recommend it for a Raspberry installation. For large projects and even some educational projects, you would want to install OpenCV from the source. In this tutorial, we will look at both methods, and you can choose the one that works for you.RequirementsA Raspberry Pi 4 boardRaspberry Pi official operating systemAn active internet connectionA reliable power supplyBalena EtcherAt least 8GB SD cardWith the above items, you can install OpenCV over SSH without the need for a graphical display. Do you know you can actually enable ssh and connect to wifi without a monitor on Raspberry Pi? Check our post – Connecting to Wi-Fi & Enabling SSH Without Monitor on Raspberry Pi.If you prefer doing everything via the Pi’s. Precompiled OpenCV 4.11 binaries for Raspberry Pi 3 4 - prepkg/opencv-raspberrypi

opencv/LICENSE at 4.x opencv/opencv - GitHub

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Learning OpenCV 4 Computer Vision with Python 3

The name of the virtual environment. To exit the virtual environment, use the deactivate command.Once inside the virtual environment, you can now install OpenCV. Execute the command below.pip3 install opencv-pythonInstall OpenCV with pipFrom the image above, you can see we have successfully installed OpenCV version 4.5.1.48. That’s it! You are done with OpenCV installation. To test OpenCV in your project, skip to the Test section at the bottom of the article.Method 2: Install OpenCV from the sourceIf you need a full installation of OpenCV, which includes patented algorithms, then you should use this method. Unlike the pip install method, which only takes a couple of minutes, compiling OpenCV from the source can take around two (2) hours. Follow the steps below:Step 1. Activate your virtual environment with the workon command below.workon sbb_cvStep 2. Download the source code for both OpenCV and Opencv_contrib from Github. Use the wget commands below.wget -O opencv_contrib.zip -O opencv.zip you get an error like ‘wget command not found,’ then you will need to install it with the command – sudo apt install wgetStep 3. We need to unzip the contents of the two files we downloaded. Use the unzip command as shown below:unzip opencv.zipunzip opencv_contrib.zipStep 4. After extracting the zip files, we will have two folders – opencv-4.5.2 and opencv_contrib-4.5.1. Let’s rename these two to something memorable like opencv and opencv_contrib.mv opencv-4.5.2 opencvmv opencv_contrib-4.5.1 opencv_contribRename foldersStep 5. Compiling OpenCV can be quite heavy on the Raspberry Pi memory. To avoid freezing or hanging, we can increase the SWAP space and utilize all four cores of the Pi in the compiling process. To do so, we will edit the dphys-swapfile present in the /etc. directory. Execute the command below to open dphys-swapfile with the nano editor.sudo nano /etc/dphys-swapfileFind the line – CONF_SWAPSIZE and set its value to

How to install Python 3 and Opencv 4 on Windows

A few weeks ago Raspbian Jessie was released, bringing in a ton of new, great features.However, the update to Jessie also broke the previous OpenCV + Python install instructions for Raspbian Wheezy:Install OpenCV 2.4 with Python 2.7 bindings on Raspbian Wheezy.Install OpenCV 3.0 with Python 2.7/Python 3+ bindings on Raspbian Wheezy.Since PyImageSearch has become the online destination for learning computer vision + OpenCV on the Raspberry Pi, I decided to write a new tutorial on installing OpenCV 3 with Python bindings on Raspbian Jessie.As an additional bonus, I’ve also included a video tutorial that you can use to follow along with me as I install OpenCV 3 on my own Raspberry Pi 2 running Raspbian Jessie.This video tutorial should help address the most common questions, doubts, and pitfalls that arise when installing OpenCV + Python bindings on the Raspberry Pi for the first time.AssumptionsFor this tutorial I am going to assume that you already own a Raspberry Pi 2 with Raspbian Jessie installed. Other than that, you should either have (1) physical access to your Pi 2 and can open up a terminal or (2) remote access where you can SSH in. I’ll be doing this tutorial via SSH, but as long as you have access to a terminal, it really doesn’t matter.The quick start video tutorialBefore we get this tutorial underway, let me ask you two quick questions:Is this your first time installing OpenCV?Are you just getting started learning Linux and how to use the command line?If you answered yes to either of these questions, I highly suggest that you watch the video below and follow along with me as a guide you step-by-step on how to install OpenCV 3 with Python bindings on your Raspberry Pi 2 running Raspbian Jessie:Otherwise, if you feel comfortable using the command line or if you have previous experience using the command line, feel free to follow the tutorial below.Installing OpenCV 3 on Raspbian JessieInstalling OpenCV 3 is a multi-step (and even time consuming) process requiring you to install many dependencies and pre-requisites. The remainder of this tutorial will guide you step-by-step through. Precompiled OpenCV 4.11 binaries for Raspberry Pi 3 4 - prepkg/opencv-raspberrypi