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Manually Building Docker Images (Optional)
This step is not required to run OpenPtrack as pre-built images are already available. If however you want to build the images yourself, this project contains two images: open_ptrack-dep
and open_ptrack
. Dockerfiles for both images are located in open_ptrack_v2/docker/.
Clone the open_ptrack_v2 repository:
git clone https://github.com/OpenPTrack/open_ptrack_v2.git
cd open_ptrack_v2/docker/
open_ptrack-dep is the base image for open_ptrack and includes all the dependencies required for open_ptrack. This image is based on nvidia/opengl:1.0-glvnd-runtime-ubuntu16.04, contains all the installation processes for open_ptrack and it is based on the instructions here .
To build the image :
cd open_ptrack-dep
sudo docker build -t openptrack/open_ptrack-dep .
Note : dot (.) is part of the command. It means the current directory. This build could take more than an hour.
open_ptrack is based on open_ptrack-dep. This image includes open_ptrack installation.
To build the image:
cd ~/open_ptrack_v2/docker/
cd open_ptrack/
sudo docker build -t openptrack/open_ptrack .
or to choose a specific branch
cd ~/open_ptrack_v2/docker/
cd open_ptrack
sudo docker build -t openptrack/open_ptrack --build-arg branch=branch_name .
Note : dot (.) is part of the command. It means the current directory.
- System Requirements
- Supported Hardware
- Initial Network Configuration
- Example Hardware List for UCLA Setup
- Making the Checkerboard
- Time Synchronization
- Pre-Tracking Configuration
- Camera Network Configuration
- Single Camera
- Setting Parameters
- Multi-Sensor Person Tracking
- HOG vs YOLO Detectors
- World Coordinate Settings
- Single Camera
- Pose Initialization
- Multi Sensor Pose Annotation
- Pose Best Practices
- Setting Parameters
- Single Camera
- Setting Parameters
- Multi Sensor Object Tracking
- YOLO Custom Training & Testing
- Yolo Trainer
- Single Camera
- Setting Parameters
- Multi Sensor Face Detection and Recognition
- Face Detection and Recognition Data Format
How to receive tracking data in: