You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
In this tutorial, you’ll learn how to use OpenCV’s “dnn” module with an NVIDIA GPU for up to 1,549% faster object detection (YOLO and SSD) and instance segmentation (Mask R-CNN). Last week, we discovered how to configure and install OpenCV…
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In this tutorial, you will learn how to use OpenCV’s “Deep Neural Network” (DNN) module with NVIDIA GPUs, CUDA, and cuDNN for 211-1549% faster inference. Back in August 2017, I published my first tutorial on using OpenCV’s “deep neural network”…
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In this tutorial you will learn how to perform Human Activity Recognition with OpenCV and Deep Learning. Our human activity recognition model can recognize over 400 activities with 78.4-94.5% accuracy (depending on the task). A sample of the activities can…
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In this tutorial, you will learn how to install OpenCV 4 on the Raspberry Pi 4 and Raspbian Buster. You will learn how to install OpenCV 4 on Raspbian Buster via both: A simple pip-install method (which can be completed…
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In this tutorial, you will learn how to apply Holistically-Nested Edge Detection (HED) with OpenCV and Deep Learning. We’ll apply Holistically-Nested Edge Detection to both images and video streams, followed by comparing the results to OpenCV’s standard Canny edge detector.…
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Today I’m going to show you how to compile and install OpenCV 4 on your Raspberry Pi. OpenCV 4 was officially released on November 20th, 2018. This blog post was updated subsequently on November 28th to accommodate the changes to…
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This tutorial provides step-by-step instructions to install OpenCV 4 (with Python bindings) on your macOS machine. OpenCV 4 was released on November 20th, 2018. I originally wrote this blog post when the alpha version was released, and it has now…
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In this tutorial you will learn how to install OpenCV 4 on your Ubuntu system. OpenCV 4 has been officially released as of 20 November 2018! So, why bother installing OpenCV 4? You may want to consider installing OpenCV 4…
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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…
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