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AstyxComplexYOLOv4

This repository contains a PyTorch implementation of ComplexYOLO using YOLO version 4. For an implementation using YOLOv3 see here. It is build to be applied on the data from the Astyx Dataset. For an implementation for the KITTI dataset see here.

Requirement

pip install -U -r requirements.txt

Steps

  1. Install all requirements
  2. Download or clone this repo by using git clone https://github.com/BerensRWU/AstyxComplexYOLOv4/ in the terminal.
  3. Save the Astyx dataset in the folder dataset.(See Section Astyx HiRes).
  4. Download the weights for the RADAR and LiDAR detector from the moodle page of the Lecture.

Astyx HiRes

The Astyx HiRes is a dataset from Astyx for object detection for autonomous driving. Astyx has a sensor setup consisting of camera, LiDAR, RADAR. Additional information can be found here: Dataset Paper and Specification

└── dataset/
       ├── dataset_astyx_hires2019    <-- 546 data
       |   ├── calibration 
       |   ├── camera_front
       |   ├── groundtruth_obj3d
       |   ├── lidar_vlp16
       └── ├── radar_6455