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Setting Up a Computer Vision Development Environment We’re going to dive straight into our solution by setting these libraries up using Python in a Jupyter Notebook (on Windows). These two libraries make it extremely easy to solve a number of object detection problems in images and videos.
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ImageAI is a machine learning library that simplifies AI training and object detection in images. OpenCV is an open-source computer vision library with C++, Python, Java, and MATLAB interfaces. Installing OpenCV and ImageAI for Object Detectionīefore we start using computer vision to improve workplace safety, we’ll need to install the necessary tools: OpenCV and ImageAI. Detecting Custom Model Objects with OpenCV and ImageAIġ.Training a Custom Model With OpenCV and ImageAI.Preparing Images for Object Detection With OpenCV and ImageAI.Using Pre-trained Models to Detect Objects With OpenCV and ImageAI.Finding Training Data for OpenCV and ImageAI Object Detection.Installing OpenCV and ImageAI for Object Detection.By the end of the series, you’ll be able to use AI to detect nearly any kind of object in an image or video stream. But what we’ll learn is useful beyond just detecting hardhats. This is an important use case because many companies must ensure workers have the proper safety equipment. In the process, we’ll create an end-to-end solution you can use in real life-this isn’t just an academic exercise!
#Conda install opencv version 2 how to
In this series, we’ll learn how to use Python, OpenCV (an open source computer vision library), and ImageAI (a deep learning library for vision) to train AI to detect whether workers are wearing hardhats.