or you are using some other package (such as PyQt) than OpenCV to create your GUI. You should always use these packages if you do not use cv2.imshow et al. This means that the packages avoid a heavy dependency chain to X11 libraries and you will have for example smaller Docker images as a result. These packages are smaller than the two other packages above because they do not contain any GUI functionality (not compiled with Qt / other GUI components).
Packages for server (headless) environments (such as Docker, cloud environments etc.), no GUI library dependencies
Conda install opencv 2 full#
If you installed multiple different packages in the same environment, uninstall them all with pip uninstall and reinstall only one package.Ī. There is no plugin architecture: all the packages use the same namespace ( cv2). Do not install multiple different packages in the same environment. There are four different packages (see options 1, 2, 3 and 4 below) and you should SELECT ONLY ONE OF THEM. Select the correct package for your environment: For example Linux distributions ship usually with very old pip versions which cause a lot of unexpected problems especially with the manylinux format. Make sure that your pip version is up-to-date (19.3 is the minimum supported version): pip install -upgrade pip. cv2 module in the root of Python's site-packages), remove it before installation to avoid conflicts. If you have previous/other manually installed (= not installed via pip) version of OpenCV installed (e.g.
Conda install opencv 2 manual#
opencv-python points to OpenCV 4.5.3.56 so it should be what you're looking for.Pre-built CPU-only OpenCV packages for Python.Ĭheck the manual build section if you wish to compile the bindings from source to enable additional modules such as CUDA. If you'd rather fix the error, then you probably want to change " opencv2" in your package.xml to " opencv-python" so that rosdep can find it. This allows rosdep to continue installing dependencies, despite errors. You can ignore errors when by adding -r to your rosdep call. If you've installed OpenCV2 yourself and have confirmed that the version you've installed matches the version expected by whichever package has the dependency, then you should be okay to ignore the error. As for resolutions, I'll refer you to question #232795 which does a good job of explaining how rosdep works and what you can do next. The error you see wnen using rosdep install is just rosdep telling you that it doesn't know what "opencv2" is for your given OS and so it can't install something that satisfies the requirement listed in the package.xml of your cv_basics pacakge. ROS2 is comfortably using Python3, so let that alleviate your concerns. Please tell me this is not the case anymore for ROS2. My greatest fear is that I have to use OpenCV 3.2 with Python 2.7 or something like that. Question: How do I make this run? Are there any kind of examples for ROS2 where any somewhat modern version of OpenCV and Python/C++ works? The example is found here, I did everything as it is described: ĮRROR: the following packages/stacks could not have their rosdep keys resolved to system dependencies: cv_basics: Cannot locate rosdep definition for For installation the debian package method was chosen. Problem description: I run Ubuntu 20.04 and ROS2 foxy, installed OpenCV 4.5.3.56, via pip, everything is in the system python (no venv/conda), I wanted to get this minimal example of an OpenCV publisher and subscriber to run to get my webcam stream from one node to another. I apologize in advance if the solution was right in front of me and if that offended anyone. I've checked all the related questions here and I still wasn't able to get this example to run.