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Build an AI-controlled drone using computer vision for gesture control, follow-me flight, precision landing, and drone delivery.
Beginner OpenCV tutorials in Python cover basic image handling, drawing, color spaces, and webcam video.
Design a custom Arduino Nano PCB in Altium Designer, from component libraries and schematics through routing, design checks, and manufacturing files.
A fast, approachable tour of I2C, SPI, UART, Modbus RTU, CAN bus, USB, Ethernet, and PCIe protocols for microcontrollers.
Short tutorials build real-time computer vision apps for face detection, pose estimation, hand tracking, facial landmarks, and object detection.
A beginner-friendly survey of popular machine learning algorithms, dimensionality reduction, clustering, and neural networks.
Hands-on YOLOR tutorials for running object detection on GPUs and CPUs, building OpenCV applications, and combining DeepSORT for multi-object tracking.
Learn YOLOX object detection in Colab, including speed, accuracy, non-max suppression, evaluation metrics, and dashboards.
Build a YOLOv7 pose-estimation app that detects when a person falls using bounding-box dimensions and skeleton keypoints.
Train a custom YOLOv7 object detector in Google Colab, evaluate its performance, and run inference on images, video, and a webcam.
Learn OpenCV with Python by building six computer vision applications, including face detection, image classification, object detection, tracking, perspective warping, and optical flow.
Build a real-time weed detector with YOLOR and OpenCV Python, calculating bounding-box centers to target plants for precision spraying.
Build a Bernie Sanders detector with YOLOv4 and YOLOv5, then run it on images, webcams, web apps, and Android smartphones.
Build a Raspberry Pi pan-tilt camera that uses real-time object detection to keep a tracked object centered, with OpenCV AI Kit and servo motors.
A hands-on setup guide for installing Detectron2 with Anaconda, CUDA, PyTorch, Cython, Pycocotools, OpenCV, and Google Colab.
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