bucketYang / BeaverDam

Video annotation tool for deep learning training labels

gemfield/video_annotation_cv

Video annotation tool for deep learning training labels

About

With the easist installation you can:

• Draw bounding boxes in videos
• Draw bounding boxes in images
• Add additional attributes in bounding boxes
• Use a custom keyframe scheduler instead of user-scheduled keyframes

Installation

1. Make sure you are on a Linux system with docker-ce installed.
2. Clone this repository to directory xxxxxx, e.g. /home/gemfield/BeaverDam.
3. Launch the annotation server by following command:

docker run -d -p 80:80 -v xxxxxx:/home/gemfield/BeaverDam gemfield/video_annotation_cv

4. Now you can access the annotation system on your Chrome by http://<your_ip>

Support

For help setting up BeaverDam for your application/company, please contact Gemfield or leave an issue.