- Install Xcode On Catalina Update
- Install Xcode 10.3 On Catalina
- Install Xcode 12.4 On Catalina
- Install Xcode On Catalina Free
Now go back to Xcode 11 and into preferences components and install the 12.2 simulator. Note you can’t do this in Xcode 10 on Catalina due to system read-only partitions. Once you’ve done all you should have simulators setup for 12.2, 12.4 and 13.1. Using the CLI you can now build an app for iOS 13 SDK (with 7.5.x or 8.2.x) using. Once Xcode is properly registered on the system, you can delete file Xcode11.7.xip. Install VirtualBox’s Guest Additions. On macOS 10.15 Catalina, Guest Additions cannot be installed by default. The installation cannot be completed as normal because the OS now require packages to be digitally signed.
OpenCV has become one of the most widely used open-sourced library used in the field of computer vision. Thanks to the volunteers who have contributed to this library. The journey from Willow Garage to opencv.org has been inspiring. However, sometimes setting up the environment to build OpenCV from source is always challenging. With every new release as well as with a new operating system release, configuring OpenCV will be cumbersome.
In this blog post, I am going to note down the OpenCV build process in baby steps in recently released macOS Catalina. Dropping the support for 32-bit applications has created an unpleasant situation amongst some users.
Prerequisites before starting the build process:
You need to install python as we are not going to mess with the system python. For this blog post, I am going to use python 3.6. Download it from its official site and install it. Given below are the steps you need to follow to build OpenCV on macOS Catalina.
1. Install and Configure Xcode
Download Xcode from App Store. It will take a while as the size of this file is nearly 7 to 8 GB. After the successful installation of Xcode, run the following command.
Use the space key to move to the bottom of the agreement page and type [accept] to agree with the license. Next, we need to install the command line tools, which will install the basic compilers (gcc, g++, etc.). Use the command given below.
2. Install homebrew for MacOS Catalina
To install homebrew, visit their official site [link]. Run the following code from the terminal to install.
After installing homebrew, update the package definition.
[ Optional ] Run the $ echo $PATH command in the terminal to check if /usr/local/bin has been added to the system’s path. If it has not been added, update the bash_profile or bashrc or zshrc (according to your system) and add the following lines to the file. As I am using iTerm as my terminal replacement, the following command corresponds to ~/.zshrc. I use sublime text 3 for editing. You can use any editor of your choice.
Add the following lines to the file and save it.
Reload the .zshrc file using source command.
3. Install Python 3.6 from the official site
After installing the downloaded python file, run the following command to check the path of python3.
Install the following dependencies for OpenCV using the brew package manager. They are needed for compilation, image I/O, and optimization.
4. Create the python virtual environment
The next step is to install virtualenv and virtualenvwrapper using pip.
Configure the ~/.zshrc profile page again to set the environment variables.
After updating the .zshrc file, reload it by using the source command.
Create a virtual environment with the name py3cv3. You can choose a suitable name for your needs.
5. Installing Opencv 3.4.7 from Source
The only Python dependency required by OpenCV is NumPy(we will use 1.14.0), which we can install by using the following command.
Let us compile OpenCV from the source. First, we have to download the source code for opencv and opencv_contrib ( we will use version 3.4.7). You can use the version according to your requirements. After downloading the source codes, we will unpack it and store them inside the home folder.
We will rename the extracted folder so that the version information would be removed from the extracted folder name.
To prepare our compilation process, we use CMake.
Use CMake to run the build process from the source [1].
Check for the output of cmake. It should look as follows:
After a successful make, we can install it by using the following command.
To check the successful installation inside the system, you can search for the opencv.pc configuration file. Generally, it can be found in the following path.
Run the following command to check the installed version.
After the installation, we have to create a symbolic link of the cv2.so file into the virtual environment. Let’s first check whether the .so file exists inside the installation path or not.
If we want to install multiple versions of OpenCV, its better to rename it, to avoid confusion later. After renaming, we can create the symbolic link of the .so file into the virtual environment (e.g., py3cv3).
Finally, we can test the installation by running the following commands.
If you are able the see the version of opencv, it has been successful in your system, and you are ready to go. Congratulations!!
6. Tensorflow and Keras Installation on macOS Catalina
We are going to install TensorFlow and Keras inside the virtual environment py3cv3. To activate the virtual environment, just run the following code.
Using pip, we will install some of the famous computer vision, machine learning, and image processing packages.
Next, we will install matplotlib and update the rendering background.
Install Xcode On Catalina Update
If you ever face any difficulties in getting a final output in matplotlib, follow the official documentation page to set up the virtual environment for matplotlib [Link]. Now it’s the time to install TensorFlow and Keras. Follow the TensorFlow APIs page to select the required version. I am using version r1.15 here.
Install Xcode 10.3 On Catalina
The Keras configuration file is present inside the home folder with a path ~/.keras/keras.json. You can open the file to have a look into the contents. Make sure the “image_data_format” field is set to channels_last and that the “backend” is set to tensorflow.
Install Xcode 12.4 On Catalina
Congratulations!! You have successfully installed OpenCV on the macOS Catalina.
References
Install Xcode On Catalina Free
1. https://www.pyimagesearch.com/2019/01/30/macos-mojave-install-tensorflow-and-keras-for-deep-learning/