yolo_series_deepsort_pytorch VS yolor

Compare yolo_series_deepsort_pytorch vs yolor and see what are their differences.

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 ). (by xuarehere)

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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yolo_series_deepsort_pytorch yolor
1 8
93 1,972
- -
0.0 3.6
over 1 year ago 5 months ago
Python Python
MIT License GNU General Public License v3.0 only
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yolo_series_deepsort_pytorch

Posts with mentions or reviews of yolo_series_deepsort_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.

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.
  • Explicit and Implicit Knowledge in Object Detection (YOLOR, YOLOv7)
    1 project | /r/learnmachinelearning | 30 Mar 2023
    Fellow redditors, can you please explain to me how aforementioned structures work and applied in code? I tried to read carefully the papers on YOLOv7 and YOLOR (https://arxiv.org/pdf/2207.02696.pdf, https://arxiv.org/pdf/2105.04206.pdf) but for me it feels like explanations in text have literally no relation to implementation code (I am totally not into Torch so it makes understanding even harder) (https://github.com/WongKinYiu/yolor/blob/main/utils/layers.py)
  • 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?
  • Docker for Absolute Beginners.
    1 project | /r/docker | 30 Nov 2021
    I am interested in using Docker for Deep learning models use. On Github people recommend Docker environment to use the model. I am sharing the link to the Github repo. My question is how I can use this GitHub repo and create a docker container
  • [Project]Vehicle Counting + Speed Calculation using YOLOR+ DeepSORT OpenCV Python
    1 project | /r/computervision | 9 Sep 2021
    So there is a paper on YOLOR by Wong Kin Yiu https://github.com/WongKinYiu/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

What are some alternatives?

When comparing yolo_series_deepsort_pytorch and yolor you can also consider the following projects:

deep_sort - Simple Online Realtime Tracking with a Deep Association Metric

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

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

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

hcaptcha-challenger - 🥂 Gracefully face hCaptcha challenge with MoE(ONNX) embedded solution.

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

segment-anything-video - MetaSeg: Packaged version of the Segment Anything repository

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

ScaledYOLOv4 - Scaled-YOLOv4: Scaling Cross Stage Partial Network

deep_sort_realtime - A really more real-time adaptation of deep sort

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