Latest Resources in Computer Vision

Computer Vision

Using Convolutional Neural Networks to Classify Street Signs medium.com

Published December 8, 2019 under Machine Learning

Since the invention of the automobile, manufacturers have steadily added more safety features and improved car design over time with the goal of keeping drivers safer on the road. Automotive manufacturers have spent millions of dollars researching safety improvements for seatbelts, tires, and pretty much every car piece or part imaginable. Despite all of this investment, driving remains substantially more fatal than alternatives such as air travel in 2019. According to the National Safety Council, approximately 40,000 people died in automotive accidents in the United States alone in 2018. In fact, there were a total of ~500 deaths resulting from plane crashes recorded globally in 2018 — that’s 80 times fewer deaths when compared to car crash fatalities in the US only.

Fire and smoke detection with Keras and Deep Learning pyimagesearch.com

Published November 28, 2019 under Machine Learning

n this tutorial, you will learn how to detect fire and smoke using Computer Vision, OpenCV, and the Keras Deep Learning library.

Face Detection and Recognition with Keras sitepoint.com

Published November 28, 2019 under Machine Learning

How To Run TensorFlow Lite on Raspberry Pi for Object Detection youtube.com

Published November 28, 2019 under Machine Learning

TensorFlow Lite is a framework for running lightweight machine learning models, and it’s perfect for low-power devices like the Raspberry Pi! This video shows how to set up TensorFlow Lite on the Raspberry Pi for running object detection models to locate and identify objects in real-time webcam feeds, videos, or images.

Traffic Sign Classification with Keras and Deep Learning pyimagesearch.com

Published November 25, 2019 under Machine Learning

In this tutorial, you will learn how to train your own traffic sign classifier/recognizer capable of obtaining over 95% accuracy using Keras and Deep Learning.

OpenCV – Stream video to web browser/HTML page pyimagesearch.com

Published September 7, 2019 under Data Science

In this tutorial you will learn how to use OpenCV to stream video from a webcam to a web browser/HTML page using Flask and Python.

Cyclical Learning Rates with Keras and Deep Learning pyimagesearch.com

Published August 10, 2019 under Machine Learning

In this tutorial, you will learn how to use Cyclical Learning Rates (CLR) and Keras to train your own neural networks. Using Cyclical Learning Rates you can dramatically reduce the number of experiments required to tune and find an optimal learning rate for your model.

Searching for Pulsars with Machine Learning medium.com

Published August 10, 2019 under Data Science

Searching for pulsars is a labor-intensive process that requires experienced astronomers and trained volunteers for their classification. In this article, we implement machine learning techniques to facilitate the process.

Keras Mask R-CNN pyimagesearch.com

Published June 18, 2019 under Machine Learning

In this tutorial, you will learn how to use Keras and Mask R-CNN to perform instance segmentation (both with and without a GPU).

Using Mask R-CNN we can perform both: Object detection, giving us the (x, y)-bounding box coordinates of for each object in an image; Instance segmentation, enabling us to obtain a pixel-wise mask for each individual object in an image.

Fine-tuning with Keras and Deep Learning pyimagesearch.com

Published June 10, 2019 under Machine Learning

In this tutorial, you will learn how to perform fine-tuning with Keras and Deep Learning.

We will take a CNN pre-trained on the ImageNet dataset and fine-tune it to perform image classification and recognize classes it was never trained on.

Today is the final post in our three-part series on fine-tuning: