Category: deep-learning
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Paper Summary: Lingo QA
Everyone is talking about Large Language Models (LLMs). Since ChatGPT became mainstream in December 2022, the world has never been the same. Industries across the board—finance, manufacturing, and commerce—are racing toward the implementation of AI. Recently, LLMs have been introduced in self-driving cars, in the form of Vehicle Language Models (VLMs). These models allow humans…
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Project: Vehicle Tracking and Counting using YOLOv8 and ByteTrack
In this project, we will create a vehicle tracking and counting system using YOLOv8 and ByteTrack algorithms. Let’s dive in! 1. Short Introduction to the Project Vehicle tracking and counting refers to the process of monitoring and recording the movement of vehicles within a defined area. This involves identifying vehicles as they enter and exit…
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Paper Summary: PointNet
In this blog post, we will explore the paper “PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation” authored by Charles Qi et al., published in CVPR in 2017. Let’s begin! What is the Paper about? The paper introduces the PointNet architecture that is designed to handle point cloud. As recall in the…
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Project: Point Cloud Classification with PointNet
In this blog post, we will perform point cloud classification using the PointNet architecture. We will use Python with Tensorflow and Keras framework. Let’s dive in! 1. Short Introduction to the Project As discussed in the previous post, a point cloud is a set of data points in a 3D coordinate system. Point clouds are…
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An Introduction to Point Clouds
Hello everyone, and welcome to the first post of the blog. This time, I aim to explain the concept of point clouds in an approachable way. So, let’s dive in. What is a Point Cloud? I found this video from Geospatial World’s Youtube channel helpful in understanding the concept. The video sums up that a…
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