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semantic_calibration
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# Semantic camera calibration toolkit This repository contains the code used for the ITSC 2022 paper [Extrinsic Camera Calibration with Semantic Segmentation](https://arxiv.org/abs/2208.03949). # Installation A linux distribution with a working Python installation is required. To create the Python environment, creating a [Python venv](https://docs.python.org/3/library/venv.html) is advised. To install the required dependencies: `sudo apt install python3.7-dev ffmpeg`, replace 3.7 with the Python version installed on your system. `pip3 install -r requirements.txt` To checkout the patched Cylinder3D version for automatic point cloud labeling: `git submodule update --init --recursive` In order to use the CARLA data generator, the CARLA server and Python API needs to installed, see [this link](https://carla.readthedocs.io/en/latest/start_quickstart/) for instructions. In order to generate data from the KITTI dataset, the KITTI dataset needs to be symlinked to **datasets/KITTI**. # Use To evaluate the algorithm on CARLA data, use `evaluate_carla.sh`. To generate data in CARLA, uncomment the second line in `evaluate_carla.sh`.