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CrowdTracker-Pytorch(Single Camera)

简体中文 | English

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Preview

MOT20-01

Preview for Interface

Interface

Enviroment Requirement

  • Python3
  • opencv-python
  • DCNv2
  • Had tested system → window10
  • The provided pkged enviroment(coda enviroment that has all the needed libs) →Google Drive

Introduction

Provided Model file

  • Download： Provided by Original author →Google Drive Need to put it into the folder named models in root dir
  • Extra missing file： →Google Drive Put it into C:\Users\User name\.cache\torch\hub\checkpoints

Quickly start

  • git clone "https://github.com/ReverseSacle/CrowdTracker-Pytorch_Basic.git"
  • Unzip the 7z file of CrowdTracker-env in ./Anaconda3/envs/
  • Use compiler, like pycharm, where choose the enviroment of CrowdTracker-env on.Then, create a folder named models in the root of this project, unzip the beneath mode file into the models folder.

About Construction

  • PyQt5 → the interface,the group of button, the choosing bar of threshold value, the choosing bar of GPU, the function of choosing file and the progress bar
  • Pytorch → the track system of deep-learning
  • OpenCV → the function of tracking (video/camera), the function of playing video and stoping video

Update Record

2021.11.29 Create a new brach ByteTrack-kernel，replace original mot kernel with bytetrack

2022.12.12 Simplify the source code of ByteTrack-track-kernel and FairMot-track-kernel, which is divided into the source code of interface, video tracking,built-in camera tracking and external camera tracking.Fix the error of LINK2001 in the provided compiler enviroment.