Yolov7_StrongSORT_OSNet VS Object_Detection_Tracking

Compare Yolov7_StrongSORT_OSNet vs Object_Detection_Tracking and see what are their differences.

Yolov7_StrongSORT_OSNet

Real-time multi-camera multi-object tracker using YOLOv7 and StrongSORT with OSNet (by mikel-brostrom)
multi-camera-tracking multi-object-tracking osnet yolov7 strongsort
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Object_Detection_Tracking

Out-of-the-box code and models for CMU's object detection and tracking system for multi-camera surveillance videos. Speed optimized Faster-RCNN model. Tensorflow based. Also supports EfficientDet. WACVW'20 (by JunweiLiang)
object-detection Tracking activity-detection video-object-detection surveillance-videos tracking-detection detection-tracking video-object-tracking efficientdet reid maskrcnn multi-camera multi-camera-vehicle-reid multi-camera-tracking Computer Vision Deep Learning
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Yolov7_StrongSORT_OSNet Object_Detection_Tracking
1 1
393 447
- -
0.0 10.0
7 days ago over 1 year ago
Python Python
GNU General Public License v3.0 only MIT License
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Yolov7_StrongSORT_OSNet

Posts with mentions or reviews of Yolov7_StrongSORT_OSNet. We have used some of these posts to build our list of alternatives and similar projects.
  • Multicamera ReID
    1 project | /r/computervision | 13 Mar 2023
    I have several cameras that stream via multiprocessing frames. With yolov7 I detect persons. Now I want to track and re-identify these persons across all streams. From the multiprocessing point of view this is no problem (shared list) but I don't know which method I can/should use. I tried something with StrongSort but there is a Kalman filter in it which would iritate the model because of wrong positions and velocities. Can someone help me? At the moment this StrongSort algorithm from Github works great. But the ReID does not take place logically there across streams.

Object_Detection_Tracking

Posts with mentions or reviews of Object_Detection_Tracking. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-26.

What are some alternatives?

When comparing Yolov7_StrongSORT_OSNet and Object_Detection_Tracking you can also consider the following projects:

mmtracking - OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.

SnakeStrike - A Low-cost Open-source High-speed Multi-camera Motion Capture System.

yolo_tracking - BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

Mask_RCNN_tf_2.x - It is modified tensorflow 2.x version of mask-rcnn.

ByteTrack - [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

articulated-animation - Code for Motion Representations for Articulated Animation paper

PaddleDetection - Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

InstColorization

JoJoGAN - Official PyTorch repo for JoJoGAN: One Shot Face Stylization

Yolov7_StrongSORT_OSNet vs mmtracking Object_Detection_Tracking vs SnakeStrike Yolov7_StrongSORT_OSNet vs yolo_tracking Object_Detection_Tracking vs Mask_RCNN_tf_2.x Yolov7_StrongSORT_OSNet vs ByteTrack Object_Detection_Tracking vs articulated-animation Yolov7_StrongSORT_OSNet vs PaddleDetection Object_Detection_Tracking vs InstColorization Object_Detection_Tracking vs JoJoGAN