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multitarget-tracking's Introduction

Multi-Target Tracking

Estimate object trajectories in an automotive context, using KITTI dataset, with Mask-RCNN. A very detailed description of the implamentation is available in the relazione.pdf file (but in italian).

TestImage1

Usage

Three python scripts, each with different functions:

  • Kitti-dets : Calcute tracks with predicted boxes and accuracy with motmetrics library.
  • Kitti-mask : Calcute tracks with masks.
  • kitti-features : Calcute tracks with features vectors.

User opens a selected script and leaves hashtag from main in final line of code and can insert the parameters of IouTheshold, ScoreTreshold and NoMatchAllowed from console.

Prerequisites

The implementation has been done with the programming language Python 3.Project dependencies are the following Python modules.

Requirement Version Used
Python 3.6
matplotlib 2.2.2
numpy 1.14.5
motmetrics 1.1.3
opencv-python 3.4.3.18

The Mask-RCNN code is based on the following GitHub repository:

multitarget-tracking's People

Contributors

simioniandrea avatar

Stargazers

avatar avatar Zeping Zhou avatar world4jason avatar avatar jiandong avatar

Watchers

James Cloos avatar jiandong avatar avatar

Forkers

simioniandrea jjdblast zengshuishui

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