Showing 1-12 of 12 projects
A Go package for computer vision using OpenCV 4 and beyond, with support for DNN, CUDA, and more.
A collection of pre-trained, state-of-the-art AI models for the ailia SDK, supporting a wide range of computer vision and natural language processing tasks.
An open-vocabulary video segmentation model that can track any object in a video, for video editing and processing.
A Python library for benchmarking multiple object trackers (MOT) that can be used in computer vision applications.
This Python project is a technical guide for beginners to study algorithms and software architectures for autonomous vehicle control.
Object tracking implementation with YOLOv4, DeepSort, and TensorFlow for computer vision applications.
Universal instance perception model for object detection, segmentation, and tracking in videos.
A Python library that combines the latest version of YOLOv5 and DeepSort for object detection and tracking.
An open-source library for object tracking using YOLOv8 and DeepSORT algorithms, suitable for vehicle counting and speed estimation applications.
Multi-camera live object tracking and traffic counting using YOLO v4, Deep SORT, and Flask.
An open-source Python library for robust multi-object tracking on videos using an observation-centric approach.
A Python framework for developing complex video analysis and series-processing applications.
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