You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
Image ProcessingImage processing is the cornerstone in which all of Computer Vision is built. Follow my image processing guides to learn the fundamentals of Computer Vision using the OpenCV library.
Today’s blog post on reading barcodes and QR codes with OpenCV is inspired by a question I received from PyImageSearch reader, Hewitt: Hey Adrian, I really love the PyImageSearch blog. I look forward to your emails each week. Keep doing…
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Today’s blog post is on image hashing — and it’s the hardest blog post I’ve ever had to write. Image hashing isn’t a particularly hard technique (in fact, it’s one of the easiest algorithms I’ve taught here on the PyImageSearch…
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One of my favorite photography techniques is long exposure, the process of creating a photo that shows the effect of passing time, something that traditional photography does not capture. When applying this technique, water becomes silky smooth, stars in a…
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After our previous post on computing image colorfulness was published, Stephan, a PyImageSearch reader, left a comment on the tutorial asking if there was a method to compute the colorfulness of specific regions of an image (rather than the entire…
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Last updated on July 7, 2021. In a previous PyImageSearch blog post, I detailed how to compare two images with Python using the Structural Similarity Index (SSIM). Using this method, we were able to easily determine if two images were…
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Today’s tutorial is a Python implementation of my favorite blog post by Félix Abecassis on the process of text skew correction (i.e., “deskewing text”) using OpenCV and image processing functions. Given an image containing a rotated block of text at…
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Today’s tutorial is inspired by a post I saw a few weeks back on /r/computervision asking how to recognize digits in an image containing a thermostat identical to the one at the top of this post. As Reddit users were…
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Easily one of my all-time favorite papers in computer vision literature is Seam Carving for Content-Aware Image Resizing by Avidan and Shamir from Mitsubishi Electric Research Labs (MERL). Originally published in the SIGGRAPH 2007 proceedings, I read this paper for…
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In last week’s blog post I demonstrated how to count the number of frames in a video file. Today we are going to use this knowledge to help us with a computer vision and image processing task — visualizing movie…
Read More of Generating movie barcodes with OpenCV and Python
Semantic Segmentation