AI on the Jetson Nano - Recognizing and Identifying Faces from Live Video on OpenCV
Learn to recognize and identify faces in live video using OpenCV and Face Recognize library on Jetson Nano. Train models with familiar faces and implement real-time facial recognition.
AI on the Jetson Nano - Face Recognition and Identification with OpenCV
Learn to implement face recognition and identification on Jetson Nano using OpenCV and face_recognition library. Covers training for new faces, identifying unknowns, and practical applications.
AI on the Jetson Nano - Installing Facial Recognition Library for OpenCV
Learn to install and use facial recognition library for OpenCV on Jetson Nano, enabling face detection and identification in frames. Enhance your AI project with advanced computer vision capabilities.
AI on the Jetson Nano - Face and Eye Detection with Haar Cascades in OpenCV
Learn to detect faces and eyes in video using Haar Cascades with OpenCV on the Jetson Nano. Practical implementation of computer vision techniques for real-time facial feature recognition.
AI on the Jetson Nano - Tracking an Object with Servos in OpenCV
Learn to track objects using OpenCV on Jetson Nano, controlling a camera with servos to keep the target centered. Implement computer vision and robotics skills for real-time object tracking applications.
AI on the Jetson Nano - Controlling Servos with the Jetson Nano Using the PCA9685
Learn to control servos with the Jetson Nano using PCA9685, including setup, programming, and movement control. Gain hands-on experience in robotics and automation with this practical tutorial.
AI on the Jetson Nano - Tracking Objects in OpenCV Using Contours
Learn to track objects using contours in OpenCV on the Jetson Nano. Explore masking, fine-tuning, and bounding rectangles for effective object detection and tracking in AI applications.
AI on the Jetson Nano - Tracking Objects in OpenCV Using HSV Color Space
Learn to track objects in OpenCV using HSV color space, including image conversion, parameter setting with trackbars, and creating foreground/background masks for effective color-based object tracking.
AI on the Jetson Nano - Understanding and Moving Watermarks in OpenCV
Learn to create and manipulate live moving watermarks in OpenCV using threshold and masking techniques for video feeds on the Jetson Nano.
AI on the Jetson Nano - Understanding Thresholding and Masks in OpenCV
Explore thresholding and masking techniques in OpenCV to manipulate image foregrounds and backgrounds independently, enhancing your AI skills on the Jetson Nano platform.
AI on the Jetson Nano - Creating ROI in OpenCV With Mouse Clicks
Learn to create Region of Interest in OpenCV using mouse events and clicks, enhancing image processing capabilities for AI applications on Jetson Nano.
AI on the Jetson Nano - Working With Region of Interest in OpenCV
Learn to work with Region of Interest (ROI) in OpenCV on Jetson Nano, including setting up rectangles, creating and colorizing ROIs, and animating cuts for enhanced image processing capabilities.
AI on the Jetson Nano - Understanding Region of Interest in OpenCV
Learn to work with Region of Interest (ROI) in OpenCV for AI applications on Jetson Nano, including live video processing and practical examples.
AI on the Jetson Nano - Reading and Writing Video Files in OpenCV
Learn to read and write video files using OpenCV on the Jetson Nano, enabling efficient video processing and manipulation for AI applications.
AI on the Jetson Nano - Resizing Images in OpenCV
Learn to resize and organize image windows in OpenCV for efficient AI image processing on the Jetson Nano, enhancing your ability to analyze intermediate stages of processing.
AI on the Jetson Nano - Running the Raspberry Pi Camera in OpenCV
Learn to launch and view Raspberry Pi camera and webcam streams on Jetson Nano using OpenCV. Covers setup, camera settings, and basic image processing techniques for AI applications.
Getting Started with the NVIDIA Jetson Nano
Learn to set up and use the NVIDIA Jetson Nano Developer Kit for AI applications. Covers hardware overview, software installation, and CUDA parallel processing demos.
Activation Analysis of a Byte-Based Deep Neural Network for Malware Classification
Explores deep learning models for malware classification, analyzing learned features from byte-level to end-to-end, connecting activations to binary semantics, and examining impacts of training data and regularization.
Data for Disaster Management - Steven Reece
Explore machine learning approaches for data fusion in disaster management, combining diverse sources to enhance situation awareness and improve response effectiveness.
Safety and Robustness for Deep Learning with Provable Guarantees - Marta Kwiatkowska - Oxford
Explore techniques for ensuring safety and robustness in deep learning systems, focusing on automated certification methods, Bayesian learning, and causality in critical applications.
Radioactive Data - Tracing Through Training
Explore a novel technique for detecting dataset usage in model training through imperceptible "radioactive" data markers, offering robust identification even with minimal data exposure.