Showing 1-20 of 22 projects
Darknet is a fast neural network framework in C/CUDA with YOLOv7 and Scaled-YOLOv4 for real-time object detection.
High-performance mobile-optimized neural network inference framework for deploying AI models on mobile devices
An implementation of the YOLOv7 state-of-the-art real-time object detection model.
A set of tools to help developers inter-operate between different deep learning frameworks like Caffe, Keras, TensorFlow, and PyTorch.
A Python library for evaluating the performance of neural networks for object detection.
YAD2K is a Python library that provides a Keras-based implementation of the YOLO (You Only Look Once) object detection model.
A self-hosted, local-only NVR and AI computer vision software with features like object detection and face recognition.
A ROS package for real-time object detection using the YOLO deep learning model.
A PyTorch-based implementation of the YOLO object detection model for the NVIDIA DeepStream SDK.
A GUI tool for marking bounding boxes in images for training object detection models like YOLO.
A library for license plate detection and recognition in unconstrained scenarios, built with C and Python.
A highly efficient and compact MobileNet-based object detection model for real-time inference on mobile devices.
An open-source tool to quantify the world using computer vision and YOLO object detection on edge devices.
A PyTorch implementation of YOLOv2, a fast and accurate object detection model.
An anti-DDoS Lua script for Nginx to protect web servers from various attack types using a JavaScript-based authentication puzzle.
A Python-based project focused on using laser technology for mosquito, weed, and pest control.
A PyTorch-based YOLOv4 and YOLOv5 implementation for detecting fire and smoke in images and videos.
Real-time object detection library with support for 9000+ classes, suitable for AI/ML developers.
A C++ library that provides optimized YOLO object detection models for deployment on NVIDIA Jetson platforms.
A Python library for converting JSON annotations into YOLO format for object detection.
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