ZQPei/deep_sort_pytorch
A PyTorch implementation of DeepSORT for multi-object tracking using YOLO detectors and CNN-based appearance feature extraction.
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Implements the DeepSORT tracking algorithm combined with YOLOv3/v5 object detectors in PyTorch. It uses a CNN-based appearance feature extractor built on ResNet for ReID features to maintain object identities across frames in video sequences. The system has been extended to support Mask R-CNN instance segmentation, enabling tracking with simultaneous segmentation masks. It performs object detection, feature extraction, and tracking in real-time.
Frequently asked
- What is ZQPei/deep_sort_pytorch?
- A PyTorch implementation of DeepSORT for multi-object tracking using YOLO detectors and CNN-based appearance feature extraction.
- Is deep_sort_pytorch open source?
- Yes — ZQPei/deep_sort_pytorch is open source, released under the MIT license.
- What language is deep_sort_pytorch written in?
- ZQPei/deep_sort_pytorch is primarily written in Python.
- How popular is deep_sort_pytorch?
- ZQPei/deep_sort_pytorch has 3k stars on GitHub.
- Where can I find deep_sort_pytorch?
- ZQPei/deep_sort_pytorch is on GitHub at https://github.com/ZQPei/deep_sort_pytorch.