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Six DoF Object Tracking with Event-cameras

License: BSD 3-Clause "New" or "Revised" License

C++ 20.74% Python 77.86% CMake 0.52% Dockerfile 0.88%

edopt's Introduction

EDOPT: Event-camera 6-DoF Dynamic Object Pose Tracking

Datasets: https://zenodo.org/records/10829647

Assumes a known object model

Three simultaneous computations:

EROS
model projection
state estimation

Build the docker using:

cd object-track-6dof
docker build -t sixdof:latest --ssh default --build-arg ssh_pub_key="$(cat ~/.ssh/id_rsa.pub)" --build-arg ssh_prv_key="$(cat ~/.ssh/id_rsa)" - < Dockerfile

Make the container using:

docker run -it --privileged -v /dev/bus/usb:/dev/bus/usb -v /tmp/.X11-unix/:/tmp/.X11-unix -e DISPLAY=unix$DISPLAY --network host --gpus all --name sixdofdev sixdof:latest

edopt's People

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