Let's say you want to compile and run the face detection sample code that comes with the OpenCV. This code is located at OpenCV 2.4.x : /path/to/opencv/samples/c/facedetect.cppOpenCV 3 : ...
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Deciphering LLMs: From Transformers to Quantization
This article is the first part of the Mastering LLMs series, Here we will discuss what LLMs are, their use cases, and the tasks they perform. We will also explain the underlying Transformer ...
YOLOv8 Object Tracking and Counting with OpenCV
In the realm of computer vision, YOLOv8 object tracking is revolutionizing the way we approach real-time tracking and analysis of moving objects. This article takes a close look at the fascinating ...
Stereo Vision in ADAS: Pioneering Depth Perception Beyond LiDAR
Explore the dynamic world of ADAS (Advanced Driver Assistance Systems) and the innovative field of stereo vision. In this article, we'll explore how ADAS stereo vision in cars is changing the game, ...
Integrating ADAS with Keypoint Feature Pyramid Network for 3D LiDAR Object Detection
3D LiDAR object detection is a process that assists with identifying and localizing objects of interest in a 3-dimensional space. In autonomous systems and advanced spatial analysis, the evolution of ...
Mastering All YOLO Models from YOLOv1 to YOLO-NAS: Papers Explained (2024)
What is YOLO? You Only Look Once (YOLO): Unified, Real-Time Object Detection is a single-stage object detection model published at CVPR 2016, by Joseph Redmon, famous for having low latency and high ...