What Yolo versions does Yolov7-tracker support?
Yolov7-tracker supports a wide range of Yolo detectors, including YOLOX, YOLO v7, and YOLO versions v3 through v12 by ultralytics. This broad compatibility allows users to leverage various detection models within the tracking framework.
Which multi-object trackers are integrated into Yolov7-tracker?
The toolbox integrates several state-of-the-art multi-object trackers such as SORT, DeepSORT, ByteTrack, BoT-SORT, OCSORT, Strong SORT, Sparse Track, UCMC Track, Hybrid SORT, ImproAssoc, TrackTrack, and FastTracker. This provides a comprehensive selection for different tracking needs.
Does Yolov7-tracker support ReID models?
Yes, Yolov7-tracker supports ReID models for both pedestrian and vehicle re-identification. It includes OSNet Extractor, ShuffleNet, MobileNet for pedestrian Re-ID, and VehicleNet for vehicle Re-ID, enhancing tracking accuracy over time.
Can Yolov7-tracker be used with TensorRT?
Yes, Yolov7-tracker supports TensorRT for optimized inference. This allows users to convert their models for improved performance and efficiency, which is crucial for real-time applications and deployment on edge devices.
What datasets are compatible with Yolov7-tracker?
Yolov7-tracker is designed to work with standard multi-object tracking datasets such as MOT17 and VisDrone2019. It provides guidelines for organizing datasets in a YOLO style, making it easier to prepare data for tracking experiments.