Showing 1-20 of 24 projects
Object detection toolbox for PyTorch with support for multiple tasks and state-of-the-art models.
Fast, embeddable key-value database written in Go for building high-performance storage applications.
A tool to manage Synology NAS compatible drives, including adding custom drives to the database.
A PyTorch-based implementation of the Single Shot MultiBox Detector for object detection in computer vision tasks.
An open-source tool for labeling images and training computer vision models using a variety of popular detection models.
A PyTorch tutorial for object detection using the Single Shot MultiBox Detector (SSD) algorithm.
Monitor HDD/SSD/NVMe disk health with real-time S.M.A.R.T. status alerts.
A C++ library for real-time multiple object tracking using the Hungarian algorithm and Kalman filters.
A Keras port of the Single Shot MultiBox Detector, a deep learning-based object detection model.
A collection of TensorRT demos for object detection, image classification, and other computer vision tasks.
A hand detection library for building computer vision applications using neural networks and TensorFlow.
A computer vision and deep learning-based face mask detection system using OpenCV and TensorFlow/Keras.
High-performance PyTorch implementation of the SSD (Single Shot MultiBox Detector) for object detection.
A simple open-source disk benchmark tool for Linux distros, focused on performance testing.
Dynamic semantic SLAM with object detection, octomap, and target database for AI-powered development tools.
Highly performant in-process cache engine to build and scale high-performance services.
A distributed version control system for cloud storage that enables versioning and deduplication of large datasets.
PyTorch implementation of SSD (Single Shot MultiBox Detector) object detection models with support for retraining on Open Images dataset.
A high-performance, SSD-backed memcache implementation for developers.
High-performance multiple object tracking for computer vision and edge computing applications.
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