Display picture montage9/14/2023 ![]() įrom there, we can parse our command line arguments: # construct the argument parse and parse the argumentsĪp.add_argument("-i", "-images", required=True, ![]() Note: If you are using Python virtual environments (as all of my OpenCV install tutorials do), make sure you use the workon command to access your virtual environment first and then install/upgrade imutils. If you do not have imutils installed on your system ( v0.4.3 as of this writing), then make sure you install/upgrade it via pip : $ pip install -upgrade imutils Notice how build_montages is imported from the imutils package. Lines 2-6 import our required Python packages. To get started, open up a new file, name it montage_example.py, and insert the following code: # import the necessary packages To download the source code + example images to this blog post, be sure to use the “Downloads” section below. Next, we’ll display the montage to our screen.įinally, I’ll provide an example of using montages to display images with OpenCV. In the first part, we’ll learn how to build a list of image paths from an image dataset residing on disk.įrom there, we’ll use the build_montages function to take this list of images and create the actual montage. There are four primary pieces to today’s blog post. Looking for the source code to this post? Jump Right To The Downloads Section Montages with OpenCV To learn more about building an image montage with OpenCV, just keep reading. A big thank you to Kyle Hounslow who contributed the build_montages function to imutils. Today we will learn how to build montages of images using OpenCV and the imutils package. It’s especially exciting when I can take questions or comments and turn them into blog posts - that way the entire PyImageSearch community is able to benefit from the answer. ![]() One of my favorite aspects of running the PyImageSearch blog is being able to chat with you, the reader, and discover the projects you’re working on. I followed your tutorial on building an image search engine, but instead of displaying the result images one-by-one (like you did), I want to display the top-20 results in a montage. ![]() I found your site a few days ago and I’ve been hooked on your tutorials ever since. I’m really enjoying the PyImageSearch blog. Today’s blog post is inspired by an email I received from PyImageSearch reader, Brian. ![]()
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