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musohu-data-collection repository

learning_tf custom_package

ROS Distro
github

Repository Summary

Description MuSoHu: Multi-Modal Social Human Navigation Dataset
Checkout URI https://github.com/robotixx/musohu-data-collection.git
VCS Type git
VCS Version master
Last Updated 2024-05-17
Dev Status UNKNOWN
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
learning_tf 0.0.0
custom_package 0.0.0

README

MuSoHu: Multi-Modal Social Human Navigation Dataset.

Suite image

Dependencies :

ROS Noetic.

Python 3.8.10.

LiDAR driver Velodyne VLP-16.

Stereo camera driver ZED2.

Create a workspace and clone sources

mkdir -p catkin_ws/src; cd catkin_ws/src; catkin_init_workspace
git clone https://github.com/ros-drivers/velodyne.git
git clone --recursive https://github.com/stereolabs/zed-ros-wrapper.git
git clone https://github.com/stereolabs/zed-ros-interfaces.git

Install dependencies with rosdep :

cd catkin_ws; rosdep install --from-paths . --ignore-src --rosdistro=noetic

Build and source

cd catkin_ws; catkin_make; source devel/setup.bash

Launch visualization:

Perception image

In terminal 1 :

roslaunch musohu_package musohu_suite.launch

Record data:

GIF

In terminal 2 :

python3 record.py

Link to TF Tree / URDF

Downloading the data

Thanks to Jiaxu, you can download the dataset using this notebook.

Parsing bag files

To parse bag files and create samples please follow this guide. To load the data, here is a PyTorch dataloader example which loads ego-centeric images.

CONTRIBUTING

No version for distro jazzy showing github. Known supported distros are highlighted in the buttons above.
Repo symbol

musohu-data-collection repository

learning_tf custom_package

ROS Distro
github

Repository Summary

Description MuSoHu: Multi-Modal Social Human Navigation Dataset
Checkout URI https://github.com/robotixx/musohu-data-collection.git
VCS Type git
VCS Version master
Last Updated 2024-05-17
Dev Status UNKNOWN
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
learning_tf 0.0.0
custom_package 0.0.0

README

MuSoHu: Multi-Modal Social Human Navigation Dataset.

Suite image

Dependencies :

ROS Noetic.

Python 3.8.10.

LiDAR driver Velodyne VLP-16.

Stereo camera driver ZED2.

Create a workspace and clone sources

mkdir -p catkin_ws/src; cd catkin_ws/src; catkin_init_workspace
git clone https://github.com/ros-drivers/velodyne.git
git clone --recursive https://github.com/stereolabs/zed-ros-wrapper.git
git clone https://github.com/stereolabs/zed-ros-interfaces.git

Install dependencies with rosdep :

cd catkin_ws; rosdep install --from-paths . --ignore-src --rosdistro=noetic

Build and source

cd catkin_ws; catkin_make; source devel/setup.bash

Launch visualization:

Perception image

In terminal 1 :

roslaunch musohu_package musohu_suite.launch

Record data:

GIF

In terminal 2 :

python3 record.py

Link to TF Tree / URDF

Downloading the data

Thanks to Jiaxu, you can download the dataset using this notebook.

Parsing bag files

To parse bag files and create samples please follow this guide. To load the data, here is a PyTorch dataloader example which loads ego-centeric images.

CONTRIBUTING

No version for distro kilted showing github. Known supported distros are highlighted in the buttons above.
Repo symbol

musohu-data-collection repository

learning_tf custom_package

ROS Distro
github

Repository Summary

Description MuSoHu: Multi-Modal Social Human Navigation Dataset
Checkout URI https://github.com/robotixx/musohu-data-collection.git
VCS Type git
VCS Version master
Last Updated 2024-05-17
Dev Status UNKNOWN
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
learning_tf 0.0.0
custom_package 0.0.0

README

MuSoHu: Multi-Modal Social Human Navigation Dataset.

Suite image

Dependencies :

ROS Noetic.

Python 3.8.10.

LiDAR driver Velodyne VLP-16.

Stereo camera driver ZED2.

Create a workspace and clone sources

mkdir -p catkin_ws/src; cd catkin_ws/src; catkin_init_workspace
git clone https://github.com/ros-drivers/velodyne.git
git clone --recursive https://github.com/stereolabs/zed-ros-wrapper.git
git clone https://github.com/stereolabs/zed-ros-interfaces.git

Install dependencies with rosdep :

cd catkin_ws; rosdep install --from-paths . --ignore-src --rosdistro=noetic

Build and source

cd catkin_ws; catkin_make; source devel/setup.bash

Launch visualization:

Perception image

In terminal 1 :

roslaunch musohu_package musohu_suite.launch

Record data:

GIF

In terminal 2 :

python3 record.py

Link to TF Tree / URDF

Downloading the data

Thanks to Jiaxu, you can download the dataset using this notebook.

Parsing bag files

To parse bag files and create samples please follow this guide. To load the data, here is a PyTorch dataloader example which loads ego-centeric images.

CONTRIBUTING

No version for distro rolling showing github. Known supported distros are highlighted in the buttons above.
Repo symbol

musohu-data-collection repository

learning_tf custom_package

ROS Distro
github

Repository Summary

Description MuSoHu: Multi-Modal Social Human Navigation Dataset
Checkout URI https://github.com/robotixx/musohu-data-collection.git
VCS Type git
VCS Version master
Last Updated 2024-05-17
Dev Status UNKNOWN
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
learning_tf 0.0.0
custom_package 0.0.0

README

MuSoHu: Multi-Modal Social Human Navigation Dataset.

Suite image

Dependencies :

ROS Noetic.

Python 3.8.10.

LiDAR driver Velodyne VLP-16.

Stereo camera driver ZED2.

Create a workspace and clone sources

mkdir -p catkin_ws/src; cd catkin_ws/src; catkin_init_workspace
git clone https://github.com/ros-drivers/velodyne.git
git clone --recursive https://github.com/stereolabs/zed-ros-wrapper.git
git clone https://github.com/stereolabs/zed-ros-interfaces.git

Install dependencies with rosdep :

cd catkin_ws; rosdep install --from-paths . --ignore-src --rosdistro=noetic

Build and source

cd catkin_ws; catkin_make; source devel/setup.bash

Launch visualization:

Perception image

In terminal 1 :

roslaunch musohu_package musohu_suite.launch

Record data:

GIF

In terminal 2 :

python3 record.py

Link to TF Tree / URDF

Downloading the data

Thanks to Jiaxu, you can download the dataset using this notebook.

Parsing bag files

To parse bag files and create samples please follow this guide. To load the data, here is a PyTorch dataloader example which loads ego-centeric images.

CONTRIBUTING

Repo symbol

musohu-data-collection repository

learning_tf custom_package

ROS Distro
github

Repository Summary

Description MuSoHu: Multi-Modal Social Human Navigation Dataset
Checkout URI https://github.com/robotixx/musohu-data-collection.git
VCS Type git
VCS Version master
Last Updated 2024-05-17
Dev Status UNKNOWN
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
learning_tf 0.0.0
custom_package 0.0.0

README

MuSoHu: Multi-Modal Social Human Navigation Dataset.

Suite image

Dependencies :

ROS Noetic.

Python 3.8.10.

LiDAR driver Velodyne VLP-16.

Stereo camera driver ZED2.

Create a workspace and clone sources

mkdir -p catkin_ws/src; cd catkin_ws/src; catkin_init_workspace
git clone https://github.com/ros-drivers/velodyne.git
git clone --recursive https://github.com/stereolabs/zed-ros-wrapper.git
git clone https://github.com/stereolabs/zed-ros-interfaces.git

Install dependencies with rosdep :

cd catkin_ws; rosdep install --from-paths . --ignore-src --rosdistro=noetic

Build and source

cd catkin_ws; catkin_make; source devel/setup.bash

Launch visualization:

Perception image

In terminal 1 :

roslaunch musohu_package musohu_suite.launch

Record data:

GIF

In terminal 2 :

python3 record.py

Link to TF Tree / URDF

Downloading the data

Thanks to Jiaxu, you can download the dataset using this notebook.

Parsing bag files

To parse bag files and create samples please follow this guide. To load the data, here is a PyTorch dataloader example which loads ego-centeric images.

CONTRIBUTING

No version for distro galactic showing github. Known supported distros are highlighted in the buttons above.
Repo symbol

musohu-data-collection repository

learning_tf custom_package

ROS Distro
github

Repository Summary

Description MuSoHu: Multi-Modal Social Human Navigation Dataset
Checkout URI https://github.com/robotixx/musohu-data-collection.git
VCS Type git
VCS Version master
Last Updated 2024-05-17
Dev Status UNKNOWN
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
learning_tf 0.0.0
custom_package 0.0.0

README

MuSoHu: Multi-Modal Social Human Navigation Dataset.

Suite image

Dependencies :

ROS Noetic.

Python 3.8.10.

LiDAR driver Velodyne VLP-16.

Stereo camera driver ZED2.

Create a workspace and clone sources

mkdir -p catkin_ws/src; cd catkin_ws/src; catkin_init_workspace
git clone https://github.com/ros-drivers/velodyne.git
git clone --recursive https://github.com/stereolabs/zed-ros-wrapper.git
git clone https://github.com/stereolabs/zed-ros-interfaces.git

Install dependencies with rosdep :

cd catkin_ws; rosdep install --from-paths . --ignore-src --rosdistro=noetic

Build and source

cd catkin_ws; catkin_make; source devel/setup.bash

Launch visualization:

Perception image

In terminal 1 :

roslaunch musohu_package musohu_suite.launch

Record data:

GIF

In terminal 2 :

python3 record.py

Link to TF Tree / URDF

Downloading the data

Thanks to Jiaxu, you can download the dataset using this notebook.

Parsing bag files

To parse bag files and create samples please follow this guide. To load the data, here is a PyTorch dataloader example which loads ego-centeric images.

CONTRIBUTING

No version for distro iron showing github. Known supported distros are highlighted in the buttons above.
Repo symbol

musohu-data-collection repository

learning_tf custom_package

ROS Distro
github

Repository Summary

Description MuSoHu: Multi-Modal Social Human Navigation Dataset
Checkout URI https://github.com/robotixx/musohu-data-collection.git
VCS Type git
VCS Version master
Last Updated 2024-05-17
Dev Status UNKNOWN
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
learning_tf 0.0.0
custom_package 0.0.0

README

MuSoHu: Multi-Modal Social Human Navigation Dataset.

Suite image

Dependencies :

ROS Noetic.

Python 3.8.10.

LiDAR driver Velodyne VLP-16.

Stereo camera driver ZED2.

Create a workspace and clone sources

mkdir -p catkin_ws/src; cd catkin_ws/src; catkin_init_workspace
git clone https://github.com/ros-drivers/velodyne.git
git clone --recursive https://github.com/stereolabs/zed-ros-wrapper.git
git clone https://github.com/stereolabs/zed-ros-interfaces.git

Install dependencies with rosdep :

cd catkin_ws; rosdep install --from-paths . --ignore-src --rosdistro=noetic

Build and source

cd catkin_ws; catkin_make; source devel/setup.bash

Launch visualization:

Perception image

In terminal 1 :

roslaunch musohu_package musohu_suite.launch

Record data:

GIF

In terminal 2 :

python3 record.py

Link to TF Tree / URDF

Downloading the data

Thanks to Jiaxu, you can download the dataset using this notebook.

Parsing bag files

To parse bag files and create samples please follow this guide. To load the data, here is a PyTorch dataloader example which loads ego-centeric images.

CONTRIBUTING

No version for distro melodic showing github. Known supported distros are highlighted in the buttons above.
Repo symbol

musohu-data-collection repository

learning_tf custom_package

ROS Distro
github

Repository Summary

Description MuSoHu: Multi-Modal Social Human Navigation Dataset
Checkout URI https://github.com/robotixx/musohu-data-collection.git
VCS Type git
VCS Version master
Last Updated 2024-05-17
Dev Status UNKNOWN
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
learning_tf 0.0.0
custom_package 0.0.0

README

MuSoHu: Multi-Modal Social Human Navigation Dataset.

Suite image

Dependencies :

ROS Noetic.

Python 3.8.10.

LiDAR driver Velodyne VLP-16.

Stereo camera driver ZED2.

Create a workspace and clone sources

mkdir -p catkin_ws/src; cd catkin_ws/src; catkin_init_workspace
git clone https://github.com/ros-drivers/velodyne.git
git clone --recursive https://github.com/stereolabs/zed-ros-wrapper.git
git clone https://github.com/stereolabs/zed-ros-interfaces.git

Install dependencies with rosdep :

cd catkin_ws; rosdep install --from-paths . --ignore-src --rosdistro=noetic

Build and source

cd catkin_ws; catkin_make; source devel/setup.bash

Launch visualization:

Perception image

In terminal 1 :

roslaunch musohu_package musohu_suite.launch

Record data:

GIF

In terminal 2 :

python3 record.py

Link to TF Tree / URDF

Downloading the data

Thanks to Jiaxu, you can download the dataset using this notebook.

Parsing bag files

To parse bag files and create samples please follow this guide. To load the data, here is a PyTorch dataloader example which loads ego-centeric images.

CONTRIBUTING

No version for distro noetic showing github. Known supported distros are highlighted in the buttons above.
Repo symbol

musohu-data-collection repository

learning_tf custom_package

ROS Distro
github

Repository Summary

Description MuSoHu: Multi-Modal Social Human Navigation Dataset
Checkout URI https://github.com/robotixx/musohu-data-collection.git
VCS Type git
VCS Version master
Last Updated 2024-05-17
Dev Status UNKNOWN
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
learning_tf 0.0.0
custom_package 0.0.0

README

MuSoHu: Multi-Modal Social Human Navigation Dataset.

Suite image

Dependencies :

ROS Noetic.

Python 3.8.10.

LiDAR driver Velodyne VLP-16.

Stereo camera driver ZED2.

Create a workspace and clone sources

mkdir -p catkin_ws/src; cd catkin_ws/src; catkin_init_workspace
git clone https://github.com/ros-drivers/velodyne.git
git clone --recursive https://github.com/stereolabs/zed-ros-wrapper.git
git clone https://github.com/stereolabs/zed-ros-interfaces.git

Install dependencies with rosdep :

cd catkin_ws; rosdep install --from-paths . --ignore-src --rosdistro=noetic

Build and source

cd catkin_ws; catkin_make; source devel/setup.bash

Launch visualization:

Perception image

In terminal 1 :

roslaunch musohu_package musohu_suite.launch

Record data:

GIF

In terminal 2 :

python3 record.py

Link to TF Tree / URDF

Downloading the data

Thanks to Jiaxu, you can download the dataset using this notebook.

Parsing bag files

To parse bag files and create samples please follow this guide. To load the data, here is a PyTorch dataloader example which loads ego-centeric images.

CONTRIBUTING