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1. Open cv 3.1 with python 3.5 download how to#
2. Open cv 3.1 with python 3.5 download zip file#
3. Open cv 3.1 with python 3.5 download code#

The BUILD field configures the build method used to build the binaries and also the modules that are to be build into the binaries. Next, you need to configure the BUILD field. If you want to know what each field does, just hover over them and an explanation will pop up. The defaults should be fine, by this is all up to you. You can include or exclude a feature by using the checkbox in the list. If your result is just a long list of fields, make sure to check the Grouped checkbox so that they are nicely grouped like the image below.įirst, the WITH field describes the features you want to include inside your openCV binaries. Once the configuration is complete, you will receive fields marked in red in the above display window. Once its done, the status window should say Configuring done like below: Once chosen, click finish and the configuration process will start. A pop-up that prompts you to select a compiler will show, choose Visual Stuor the VS version you have installed on your machine. Now, the next thing to do is to configure your build by clicking the Configure button in the CMake window. I chose to put my openCV directory in C:/opencv, so the settings for me would look like this:

Open cv 3.1 with python 3.5 download code#

Now, near the top of the CMake window chose the location of your source code (the openCV directory) and choose the location to build the binaries in (the build folder you just created).

We use CMake, the application installed in Step 1, to build the openCV binaries from its source code. To start the process, create a new folder called build inside your openCV directory (the directory you unzipped/cloned the openCV source to). Now that all the tools we need to build our very own openCV have been installed, we will start building our openCV binaries.

Open cv 3.1 with python 3.5 download how to#

For this to work, you will be asked to download the GitHub Desktop application (you can just follow the instructions from GitHub on how to install this application).

If you are just getting started with Git, you can use the Clone in Desktop button to copy the updated version of openCV to your local machine. If you’re familiar with git then you can just use the clone URL as shown in the above image or fork a version of the code for yourself. If you want to receive updated versions of openCV as they are made by the contributors, you can also clone the source using Git.

Open cv 3.1 with python 3.5 download zip file#

Once your done, extract the contents of the zip file to a folder, for convenience, name it opencv. This can be done by pressing the Download Zip button towards the right side of the page. The easiest way to download the source is to download a zip file containing the contents of the openCV GitHub page.

There are a couple of ways to download the source, and both of them involve the openCV GitHub webpage. Remember, we need to build a custom openCV build from the source and will not use the prebuilt binaries available for download from the openCV website. Next, we need to download the openCV source. It’s good to use virtual environments with python installation just so you can have several versions in one machine for different types of applications you’ll be developing. Download the source from the link below and just install with the recommended install settings. So, the next step is to download and install python+numpy using Anaconda. This way, you install everything in a single install. These packages give you all the common python libraries bundled with the core python packages. However, I like to use python packages from third-parties, specifically Anaconda. You can install them separately from their own websites.

To use python with openCV, aside from installing the core python packages, you also need to install Numpy (a python array and matrices library). So, if you have not done so, install these applications below: In order to use python 3.4+ with openCV, the first step is to build our own version of openCV using CMake and Visual Studio (I’m using Visual Studio 2013 Express for Desktop), since the prebuilt binaries in the openCV website includes python 2.7 libraries and not the 3.4+ libraries. For the rest of this post, I will show you how to compile and install OpenCV 3.0 with Python 3.4+ bindings on Windows.