Showing 1-9 of 9 projects
PaddleDetection is an open-source object detection toolkit based on the PaddlePaddle deep learning framework, supporting various computer vision tasks.
A tutorial repository for learning PyTorch, covering computer vision, NLP, and deep learning model deployment.
A Python library for multi-object tracking using the DeepSORT algorithm.
A Python library that uses YOLOv5 and DeepSort to implement vehicle and pedestrian tracking and counting.
Object tracking implementation with YOLOv4, DeepSort, and TensorFlow for computer vision applications.
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.
Provides a powerful object detection and tracking solution for vehicle and pedestrian counting using YOLOv5 and DeepSort.
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