Inside PyImageSearch University you'll find: Here you’ll learn how to successfully and confidently apply computer vision to your work, research, and projects. If you're serious about learning computer vision, your next stop should be PyImageSearch University, the most comprehensive computer vision, deep learning, and OpenCV course online today. My mission is to change education and how complex Artificial Intelligence topics are taught. I strongly believe that if you had the right teacher you could master computer vision and deep learning.ĭo you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated? Or has to involve complex mathematics and equations? Or requires a degree in computer science?Īll you need to master computer vision and deep learning is for someone to explain things to you in simple, intuitive terms. 90 hours of on-demand code walkthrough videos.Let’s now install some other supporting computer vision and machine learning/deep learning packages that we’ll need throughout the rest of this tutorial: $ pip install pillow scipy Installing Other Computer Vision, Deep Learning, and Machine Learning Libraries Next, we’ll install other Python packages we’ll need for OCR, computer vision, deep learning, and machine learning. $ pip install numpy opencv-contrib-python Now that you have your Python virtual environment created and ready, we can install both OpenCV and PyTesseract, the Python package that interfaces with the Tesseract OCR engine.īoth of these can be installed using the following commands: $ workon # required if using virtual envs We recommend you follow that tutorial to create your first Python virtual environment. Installing the necessary packages for Python virtual environments, as well as creating your first Python virtual environment, can be found in our pip Install OpenCV tutorial. Python virtual environments are a best practice for Python development, and we recommend using them to have more reliable development environments. Creating a Python Virtual Environment for OCR Provided that you were able to install Tesseract on your operating system, you can verify that Tesseract is installed by using the tesseract command: $ tesseract -v That said, if you wish to install Tesseract on Windows, we recommend that you follow the official Windows install instructions put together by the Tesseract team. We instead recommend using a Unix-based machine such as Linux/Ubuntu or macOS, both of which are better suited for developing computer vision, deep learning, and OCR projects. These notebooks run on all environments, including macOS, Linux, and Windows. Please note that the PyImageSearch team and I do not officially support Windows, except for customers who use our pre-configured Jupyter/Colab Notebooks, which you can find at PyImageSearch University. The apt-get package manager will automatically install any prerequisite libraries or packages required for Tesseract. Installing Tesseract on Ubuntu 18.04 is easy - all we need to do is utilize apt-get: $ sudo apt install tesseract-ocr Provided that the above command does not exit with an error, you should now have Tesseract installed on your macOS machine. Use the link above to install Homebrew on your system if it is not already installed.įrom there, all you need to do is use the brew command to install Tesseract: $ brew install tesseract Installing the Tesseract OCR engine on macOS is quite simple if you use the Homebrew package manager. Inside this tutorial, you will learn how to install Tesseract on your machine. With that said, let’s install the Tesseract OCR engine on your system! Installing Tesseract The install instructions for Tesseract OCR are fairly stable. The Tesseract OCR engine has existed for over 30 years. From there, you’ll learn how to create a Python virtual environment and then install OpenCV, PyTesseract, and all the other necessary Python libraries you’ll need for OCR, computer vision, and deep learning. In the first part of this tutorial, you will learn how to install the Tesseract OCR engine on your system. OCR Development Environment Configuration Install the necessary Python packages you need to run the examples in this tutorial (and develop OCR projects of your own).Learn how to create a Python virtual environment (a best practice in Python development).Learn how to install the Tesseract OCR engine on your machine.To learn how to configure your development environment, just keep reading.
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