/carla-training-data

Generating training data from the Carla driving simulator in the KITTI dataset format

Primary LanguagePythonMIT LicenseMIT

Carla Training Data

Generating training data from the Carla driving simulator in the KITTI dataset format

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KITTI dataset format

An example of KITTI dataset format

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  • Raw (unsynced+unrectified) and processed (synced+rectified) grayscale stereo sequences (0.5 Megapixels, stored in png format)
  • Raw (unsynced+unrectified) and processed (synced+rectified) color stereo sequences (0.5 Megapixels, stored in png format)
  • 3D Velodyne point clouds (100k points per frame, stored as binary float matrix)
  • 3D GPS/IMU data (location, speed, acceleration, meta information, stored as text file)
  • Calibration (Camera, Camera-to-GPS/IMU, Camera-to-Velodyne, stored as text file)
  • 3D object tracklet labels (cars, trucks, trams, pedestrians, cyclists, stored as xml file)

Getting started and Setup

This project expects the carla folder to be inside this project i.e PythonClient/carla-training-data/carla

Running the client after running the Carla Server

## Running the client after running the Carla Server

$ python3 datageneration.py

References: