yolor VS fast-reid

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

yolor

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206) (by WongKinYiu)
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yolor fast-reid
8 3
1,969 3,252
- 1.7%
3.6 1.2
3 months ago 4 months ago
Python Python
GNU General Public License v3.0 only 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.

yolor

Posts with mentions or reviews of yolor. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-20.
  • DeepSort with PyTorch(support yolo series)
    13 projects | /r/u_No_Experience9104 | 20 Sep 2022
    WongKinYiu/yolor
  • Build Custom Functions for YOLOv4 with TensorFlow, TFLite & TensorRT
    2 projects | /r/tensorflow | 3 Aug 2022
    Is there a reason to use YOLOv4 over YOLOv5 or YOLOR?
  • YOLOR (Scaled-YOLOv4-based): The best speed/accuracy ratio for Waymo autonomous driving challenge
    2 projects | /r/DeepLearningPapers | 23 Jun 2021
    [CVPR'21 WAD] Challenge - Waymo Open Dataset: https://waymo.com/open/challenges/2021/real-time-2d-prediction/ YOLOR (Scaled-YOLOv4-based) has the best speed/accuracy ratio on Waymo autonomous driving challenge ((Waymo Open Dataset): Real-time 2D Detection. Thanks Chien-Yao Wang from Academia Sinica and DiDi MapVision team to push Scaled-YOLOv4 further! * DIDI MapVision: https://arxiv.org/abs/2106.08713 * YOLOR https://arxiv.org/abs/2105.04206 * YOLOR-code (Pytorch): https://github.com/WongKinYiu/yolor * Scaled-YOLOv4(CVPR21): https://openaccess.thecvf.com/content/CVPR2021/html/Wang\_Scaled-YOLOv4\_Scaling\_Cross\_Stage\_Partial\_Network\_CVPR\_2021\_paper.html * Scaled-YOLOv4-code (Pytorch): https://github.com/WongKinYiu/ScaledYOLOv4 * YOLOv4: https://arxiv.org/abs/2004.10934 * YOLOv4-code (Darknet, Pytorch, TensorFlow, TRT, OpenCV…): https://github.com/AlexeyAB/darknet#yolo-v4-in-other-frameworks
    3 projects | /r/MachineLearning | 23 Jun 2021
    The DiDi MapVision team has shown excellent results with the YOLOR and DIDI MapVision models, both based on Scaled-YOLOv4: * DIDI MapVision: https://arxiv.org/abs/2106.08713 * YOLOR https://arxiv.org/abs/2105.04206 * YOLOR-code (Pytorch): https://github.com/WongKinYiu/yolor * Scaled-YOLOv4(CVPR21): https://openaccess.thecvf.com/content/CVPR2021/html/Wang_Scaled-YOLOv4_Scaling_Cross_Stage_Partial_Network_CVPR_2021_paper.html * Scaled-YOLOv4-code (Pytorch): https://github.com/WongKinYiu/ScaledYOLOv4 * YOLOv4: https://arxiv.org/abs/2004.10934 * YOLOv4-code (Darknet, Pytorch, TensorFlow, TRT, OpenCV...): https://github.com/AlexeyAB/darknet#yolo-v4-in-other-frameworks
  • [P] YOLOR (Scaled-YOLOv4-based): The best speed/accuracy ratio for Waymo autonomous driving challenge
    3 projects | /r/MachineLearning | 23 Jun 2021
    * YOLOR-code (Pytorch): https://github.com/WongKinYiu/yolor

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 yolor and fast-reid you can also consider the following projects:

yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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

darknet - YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

tensorflow-yolov4-tflite - YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.3.1, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

ScaledYOLOv4 - Scaled-YOLOv4: Scaling Cross Stage Partial Network

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

yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x

MMdnn - MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

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

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

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

ayolo - PyQt5 based annotation tool for yolov4 datasets, providing fast and easy ways of annotating.