![]() ![]() ![]() Ready to run the code right now on your Windows, macOS, or Linux systems?.Wanting to skip the hassle of fighting with the command line, package managers, and virtual environments?.Learning on your employer’s administratively locked system?.To learn how to load an image from disk using OpenCV and cv2.imread, just keep reading.įigure 2: Having trouble configuring your dev environment? Want access to pre-configured Jupyter Notebooks running on Google Colab? Be sure to join PyImageSearch Plus - you’ll be up and running with this tutorial in a matter of minutes. You can start by choosing your own datasets or using our PyimageSearch’s assorted library of useful datasets.īring data in any of 40+ formats to Roboflow, train using any state-of-the-art model architectures, deploy across multiple platforms (API, NVIDIA, browser, iOS, etc), and connect to applications or 3rd party tools. Sign up or Log in to your Roboflow account to access state of the art dataset libaries and revolutionize your computer vision pipeline. Roboflow has free tools for each stage of the computer vision pipeline that will streamline your workflows and supercharge your productivity. It allows us to deal with images of different formats and sizes, thus broadening our understanding of how to manipulate images using OpenCV. By the end of this guide, you will have a good understanding of how to load images from disk with OpenCV.Ī dataset of images is essential to practice and understand the operation of the OpenCV library. ![]()
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