mrcnn-docker

This project only houses a Dockerfile which encapsulates all (or, most of) the dependencies to get started with the Matterport object detection and instance level segmentation library called Mask_RCNN.

The Dockerfile extends from a deep-learning image and installs the Mask_RCNN library.

It shares a MIT license, like the Mask_RCNN project.

Usage

For a more detailed usage, see this Docker Hub repo.

In summary, you can quickly get started with the following

Build the docker image

docker build -t deontaljaard/mrcnn .

Run it

docker run -it -p 8888:8888 -p 6006:6006 -v ~/:/host deontaljaard/mrcnn

To import the relevant namespaces from mrcnn in your Python file, you can do the following for example

import mrcnn.model

Happy detecting and segmenting!