Showing 1-18 of 18 projects
Darknet is a fast neural network framework in C/CUDA with YOLOv7 and Scaled-YOLOv4 for real-time object detection.
An implementation of the YOLOv7 state-of-the-art real-time object detection model.
TensorRT implementation of popular deep learning networks for efficient inference on GPUs
A Python library focused on improving YOLO models for object detection and computer vision tasks.
A PyTorch implementation of the YOLOv4 object detection algorithm, suitable for training custom models.
PyTorch implementation of the YOLOv4 object detection algorithm for developers interested in computer vision.
A collection of TensorRT demos for object detection, image classification, and other computer vision tasks.
A PyTorch implementation of the YOLOv4 object detection model with support for various attention mechanisms and mobile models.
A C++ library that enables deploying the YOLOv5 object detection model on mobile devices using the NCNN framework.
A Python library for channel and layer pruning of YOLOv3 and YOLOv4 models, with support for knowledge distillation.
A PyTorch-based YOLOv4 and YOLOv5 implementation for detecting fire and smoke in images and videos.
A C++ library for accelerating YOLO-based computer vision models using NVIDIA's TensorRT framework.
Object tracking implementation with YOLOv4, DeepSort, and TensorFlow for computer vision applications.
A PyTorch implementation of the Complex-YOLO 3D object detection algorithm for LiDAR point clouds.
An AI-powered web app and API that analyzes basketball shots and shooting poses.
High-performance multiple object tracking for computer vision and edge computing applications.
A C++ library that provides optimized YOLO object detection models for deployment on NVIDIA Jetson platforms.
Multi-camera live object tracking and traffic counting using YOLO v4, Deep SORT, and Flask.
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