DeepSort with PyTorch(support yolo series)

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  • yolovx_deepsort_pytorch

    Deepsort with yolo series. This project support the existing yolo detection model algorithm (YOLOv3, YOLOV4, YOLOV4Scaled, YOLOV5, YOLOV6, YOLOV7, YOLOX, YOLOR, PPYOLOE ).

    git clone

  • fast-reid

    SOTA Re-identification Methods and Toolbox


  • Scout APM

    Truly a developer’s best friend. Scout APM is great for developers who want to find and fix performance issues in their applications. With Scout, we'll take care of the bugs so you can focus on building great things 🚀.

  • mmdetection

    OpenMMLab Detection Toolbox and Benchmark


  • deep_sort

    Simple Online Realtime Tracking with a Deep Association Metric


  • deep_sort_pytorch

    MOT using deepsort and yolov3 with pytorch


  • PyTorch_YOLOv4

    PyTorch implementation of YOLOv4


  • ScaledYOLOv4

    Scaled-YOLOv4: Scaling Cross Stage Partial Network


  • Zigi

    Delete the most useless function ever: context switching.. Zigi monitors Jira and GitHub updates, pings you when PRs need approval and lets you take fast actions - all directly from Slack! Plus it reduces cycle time by up to 75%.

  • yolov5

    YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite


  • YOLOv6

    YOLOv6: a single-stage object detection framework dedicated to industrial applications.


  • yolov7

    Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors



    YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation:


  • yolor

    implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (


  • PPYOLOE_pytorch

    An unofficial implementation of Pytorch version PP-YOLOE,based on Megvii YOLOX training code.


NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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