Tag Archives | opencv 3

OpenCV Saliency Detection

Today’s tutorial is on saliency detection, the process of applying image processing and computer vision algorithms to automatically locate the most “salient” regions of an image. In essence, saliency is what “stands out” in a photo or scene, enabling your eye-brain connection to quickly (and essentially unconsciously) focus on the most important regions. For example — […]

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A gentle guide to deep learning object detection

Today’s blog post is inspired by PyImageSearch reader Ezekiel, who emailed me last week and asked: Hey Adrian, I went through your previous blog post on deep learning object detection along with the followup tutorial for real-time deep learning object detection. Thanks for those. I’ve been using your source code in my example projects but […]

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Face detection with OpenCV and deep learning

Today I’m going to share a little known secret with you regarding the OpenCV library: You can perform fast, accurate face detection with OpenCV using a pre-trained deep learning face detector model shipped with the library. You may already know that OpenCV ships out-of-the-box with pre-trained Haar cascades that can be used for face detection… […]

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Deep learning: How OpenCV’s blobFromImage works

Today’s blog post is inspired by a number of PyImageSearch readers who have commented on previous deep learning tutorials wanting to understand what exactly OpenCV’s blobFromImage  function is doing under the hood. You see, to obtain (correct) predictions from deep neural networks you first need to preprocess your data. In the context of deep learning […]

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Raspberry Pi: Deep learning object detection with OpenCV

A few weeks ago I demonstrated how to perform real-time object detection using deep learning and OpenCV on a standard laptop/desktop. After the post was published I received a number of emails from PyImageSearch readers who were curious if the Raspberry Pi could also be used for real-time object detection. The short answer is “kind […]

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Real-time object detection with deep learning and OpenCV

Today’s blog post was inspired by PyImageSearch reader, Emmanuel. Emmanuel emailed me after last week’s tutorial on object detection with deep learning + OpenCV and asked: “Hi Adrian, I really enjoyed last week’s blog post on object detection with deep learning and OpenCV, thanks for putting it together and for making deep learning with OpenCV […]

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Object detection with deep learning and OpenCV

A couple weeks ago we learned how to classify images using deep learning and OpenCV 3.3’s deep neural network ( dnn ) module. While this original blog post demonstrated how we can categorize an image into one of ImageNet’s 1,000 separate class labels it could not tell us where an object resides in image. In order to obtain […]

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Raspbian Stretch: Install OpenCV 3 + Python on your Raspberry Pi

It’s been over two years since the release of Raspbian Jessie. As of August 17th, 2017, the Raspberry Pi foundation has officially released the successor to Raspbian Jessie — Raspbian Stretch. Just as I have done in previous blog posts, I’ll be demonstrating how to install OpenCV 3 with Python bindings on Raspbian Stretch. If you […]

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