Tag Archives | convolutional neural network

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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Real-time object detection on the Raspberry Pi with the Movidius NCS

Today’s post is inspired by Danielle, a PyImageSearch reader who emailed me last week and asked: Hi Adrian, I’m enjoying your blog and I especially liked last week’s post about image classification with the Intel Movidius NCS. I’m still considering purchasing an Intel Movidius NCS for a personal project. My project involves object detection with […]

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A scalable Keras + deep learning REST API

In today’s blog post we are going to create a deep learning REST API that wraps a Keras model in an efficient, scalable manner. Our Keras + deep learning REST API will be capable of batch processing images, scaling to multiple machines (including multiple web servers and Redis instances), and round-robin scheduling when placed behind […]

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Keras and deep learning on the Raspberry Pi

Today’s blog post is the most fun I’ve EVER had writing a PyImageSearch tutorial. It has everything we have been discussing the past few weeks, including: Deep learning Raspberry Pis 3D Christmas trees References to HBO’s Silicon Valley “Not Hotdog” detector Me dressing up as Santa Clause! In keeping with the Christmas and Holiday season, […]

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How to create a deep learning dataset using Google Images

PyImageSearch reader José asks: Hey Adrian, thanks for putting together Deep Learning for Computer Vision with Python. This is by far the best resource I’ve seen for deep learning. My question is this: I’m working on a project where I need to classify the scenes of outdoor photographs into four distinct categories: cities, beaches, mountains, and […]

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