Getting Started

Prerequisites

Docker and docker-compose is required. You can follow their documentation for installation in the links provided.

• Windows 10 Home Toolbox Download
• Ubuntu Installation

If you do not want to us docker you can install the python dependencies using the requirments.txt and then run the Flask server. You also most setup a MongoDB database and point the Flask server to it, in order for the annotator to work.

Installing with Docker

Create a copy of this repository:

git clone https://github.com/jsbroks/coco-annotator
cd coco-annotator

Run the application using docker compose:

docker-compose up --build

Give it a few minutes to build the docker image.

Now, you can now access the website (http://localhost:5000/).

Windows

Due to limitations of CIFS implementation in Linux kernel, file change events in mounted folders of a host are not propagated to a container by Docker for Windows (source). You can install docker-windows-volume-watcher or move the images into the datasets directory to fix this issue.

MacOS

Installation has not been tested.

End-to-end Examples

• Creating a basic shapes dataset