Showing 1-10 of 10 projects
Open source routing engine for car, bike, and pedestrian navigation built on OpenStreetMap data.
Open source, highly portable, microscopic and continuous traffic simulation package for large networks.
A fast and accurate multi-object tracking library for real-time applications.
Real-time multi-person tracking using YOLO v3 and deep_sort with TensorFlow for computer vision applications.
A curated list of Tiny Object Detection papers and related resources for developers working with AI-powered computer vision.
A Python library that uses YOLOv5 and DeepSort to implement vehicle and pedestrian tracking and counting.
A robust multi-pedestrian tracking library built with PyTorch, YOLO, and other computer vision techniques.
An open-source framework for object counting systems using TensorFlow and Keras.
A fast and efficient computer vision library for edge devices, supporting face, head, pedestrian, and vehicle detection.
Provides a powerful object detection and tracking solution for vehicle and pedestrian counting using YOLOv5 and DeepSort.
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