deep_sort_pytorch VS fast-reid

Compare deep_sort_pytorch vs fast-reid and see what are their differences.

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deep_sort_pytorch fast-reid
1 3
2,706 3,278
- 0.8%
0.0 1.2
7 months ago 5 months ago
Python Python
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

deep_sort_pytorch

Posts with mentions or reviews of deep_sort_pytorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-20.

fast-reid

Posts with mentions or reviews of fast-reid. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-20.

What are some alternatives?

When comparing deep_sort_pytorch and fast-reid you can also consider the following projects:

yolov7 - Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀

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

l2rpn-baselines - L2RPN Baselines a repository to host baselines for l2rpn competitions.

yolor - implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

pytorch-metric-learning - The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

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

DOLG-pytorch - Unofficial PyTorch Implementation of "DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features"

ScaledYOLOv4 - Scaled-YOLOv4: Scaling Cross Stage Partial Network

apex-configs-by-deafps - Apex config & tweaks

yolo_series_deepsort_pytorch - Deepsort with yolo series. This project support the existing yolo detection model algorithm (YOLOV8, YOLOV7, YOLOV6, YOLOV5, YOLOV4Scaled, YOLOV4, YOLOv3', PPYOLOE, YOLOR, YOLOX ).

Hekate-Toolbox - A toolbox for Hekate