You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
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…
Read More of Raspberry Pi: Deep learning object detection with OpenCV
This tutorial is meant for advanced Raspberry Pi users who are looking to milk every last bit of performance out of their Pi for computer vision and image processing using OpenCV. I’ll be assuming: You have worked through my previous…
Read More of Optimizing OpenCV on the Raspberry Pi
I’ve received a number of emails from PyImageSearch readers who are interested in performing deep learning in their Raspberry Pi. Most of the questions go something like this: Hey Adrian, thanks for all the tutorials on deep learning. You’ve really…
Read More of Deep learning on the Raspberry Pi with 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…
Read More of Real-time object detection with deep learning and OpenCV
Last updated on July 7, 2021. 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…
Read More of Object detection with deep learning and OpenCV
Two weeks ago OpenCV 3.3 was officially released, bringing with it a highly improved deep learning (dnn ) module. This module now supports a number of deep learning frameworks, including Caffe, TensorFlow, and Torch/PyTorch. Furthermore, this API for using pre-trained…
Read More of Deep Learning with OpenCV
In today’s blog post, I interview Davis King, the creator and chief maintainer of dlib — a toolkit for real-world machine learning, computer vision, and data analysis in C++ (with Python bindings included, when appropriate). I’ve personally used dlib in…
Read More of An interview with Davis King, creator of the dlib toolkit
In the previous section, we discussed gradient descent, a first-order optimization algorithm that can be used to learn a set of classifier weights for parameterized learning. However, this “vanilla” implementation of gradient descent can be prohibitively slow to run on…
Read More of Stochastic Gradient Descent (SGD) with Python
Nearly all of deep learning is powered by one very important algorithm: Stochastic Gradient Descent (SGD). — Goodfellow, Bengio, and Courville (2016) At this point, we have a strong understanding of the concept of parameterized learning. We previously discussed the…
Read More of Gradient Descent with Python
