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A simple and fast anti-censorship tool written in Go
This is a Computer vision package that makes its easy to run Image processing and AI functions. At the core it uses OpenCV and Mediapipe libraries.
Custom object detection with the TFLite Model Maker
akanametov / yolo-face
Forked from ultralytics/ultralyticsYOLO Face 🚀 in PyTorch
This repository provides a dataset and model for real-time drone detection using YOLOv8, contributing to enhanced security and privacy protection. Join us in advancing drone detection technology fo…
Introducing a curated dataset for drone detection and a state-of-the-art YOLOv7 model, enabling real-time and accurate identification of drones in complex environments.
Drone / Unmanned Aerial Vehicle (UAV) Detection is a very safety critical project. It takes in Infrared (IR) video streams and detects drones in it with high accuracy.
Hacks for people as bad at real life as they are at videogames
feranick / pycoral
Forked from google-coral/pycoralPython API for ML inferencing and transfer-learning on Coral devices
Computer Vision: Examples using OpenCV and Python.
Our pan tilt camera system, based on the SaraKIT platform (Raspberry Pi), offers excellent face detection capabilities and the ability to track facial movements. By utilizing quiet, precise, and fa…
Streamlining the process for seamless execution of PyCoral in running TensorFlow Lite models on an Edge TPU USB.
Detect object in video stream from resource-constrained device, determine facing angle, and point camera mounted on servo motor toward it. TensorFlow Lite, Coral Edge TPU Accelerator, Raspbian OS.
Testing Google Coral USB Accelerator's performance with 04 models of Raspberry Pi. Results have shown 10 times faster inferencing speeds with the Coral hardware attached.
A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more!
High FPS live stream Raspberry Pi cam with object detection by Google Coral EdgeTPU
This project demonstrates real-time drone detection using YOLOv5 and OpenCV. It detects drones in real-time and displays a warning when a drone is detected inside or near a defined rectangle.
TensorFlow Lite, Coral Edge TPU samples (Python/C++, Raspberry Pi/Windows/Linux).