This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. How can we speed up video processing? Parallel processing is the answer! If you want to process a number of video files, it might take from minutes to hours, depending on the size of the video, frame […]
Parallel Processing Using Python for Faster Video Processing Read More +
This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. In this post, we will cover the details of annotating images using the MakeSense annotation tool. Imagine you just got an exciting project where you have to build a program to detect if a door is open
How to Annotate Your Images Using the MakeSense Tool Read More +
This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. Data labeling is an essential step in a supervised machine learning task. The same is true for image annotation. Data labeling and image annotations must work together to paint a complete picture. If you show a child
Exploring Data Labeling and the 6 Different Types of Image Annotation Read More +
This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. In this post, we will look at the best methods for collecting a training dataset to train a custom detection model. Use of deep learning in computer vision has increased in the last decade. In the past
Custom Detection Model Training Read More +
This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. There are a number of common problems with object detection. For example, can your object detector detect people and horses in the following image? People on horses (Photo by Paul Chambers on Unsplash) What if the same
Overcome These 6 Problems with Object Detection Read More +
This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. In this post, I will show you how to set up a Raspberry Pi for computer vision. The Raspberry Pi is a series of low-cost, single-board computers, that are as small as your credit card. They have
How to Set Up Raspberry Pi for Computer Vision Read More +
This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. Face tracking is detecting a set of faces in frame 1 of a video, establishing a correspondence between the frames, and maintaining a unique ID for each of the faces throughout the video. It is being used
Face Tracking in Python using Xailient Face Detector and Dlib Read More +
SYDNEY, Nov. 29, 2021 /PRNewswire/ — Xailient announced the world’s most power-efficient Face Recognition AI, which runs on the IMX500, the world’s first intelligent vision sensor with edge AI processing capability from Sony Semiconductor Solutions Corporation (“Sony”). Xailient’s Face Recognition enables high-speed edge AI processing with low-power consumption using Sony’s IMX500 – a chip so
This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. Only a few years ago, if someone asked me to work on a project that required detecting a person’s face using the camera, to be honest, I would have shut down my laptop and run as far
Face Detection with 7 Lines of Code in Python Read More +
This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. A step-by-step guide to implement real-time face detection on a Raspberry Pi running 24 frames per second. In this post, I will guide you through a step-by-step process of implementing real-time face detection on a Raspberry Pi, running
Real-time Face Detection on Raspberry Pi Read More +
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