Add Docker related files, update documentation

.dockerignore

@@ -0,0 +1,2 @@
+**/node_modules
+**/.meteor/local

Dockerfile

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+# The tag here should match the Meteor version of your app, per .meteor/release
+FROM geoffreybooth/meteor-base:1.10.2
+
+# Copy app package.json and package-lock.json into container
+COPY ./package*.json $APP_SOURCE_FOLDER/
+
+RUN bash $SCRIPTS_FOLDER/build-app-npm-dependencies.sh
+
+# Copy app source into container
+COPY ./ $APP_SOURCE_FOLDER/
+
+RUN bash $SCRIPTS_FOLDER/build-meteor-bundle.sh
+
+
+# Use the specific version of Node expected by your Meteor release, per https://docs.meteor.com/changelog.html; this is expected for Meteor 1.10.2
+FROM node:12.16.1-alpine
+
+ENV APP_BUNDLE_FOLDER /opt/bundle
+ENV SCRIPTS_FOLDER /docker
+
+# Runtime dependencies; if your dependencies need compilation (native modules such as bcrypt) or you are using Meteor <1.8.1, use app-with-native-dependencies.dockerfile instead
+RUN apk --no-cache add \
+                bash \
+                ca-certificates
+
+# Copy in entrypoint
+COPY --from=0 $SCRIPTS_FOLDER $SCRIPTS_FOLDER/
+
+# Copy in app bundle
+COPY --from=0 $APP_BUNDLE_FOLDER/bundle $APP_BUNDLE_FOLDER/bundle/
+
+RUN bash $SCRIPTS_FOLDER/build-meteor-npm-dependencies.sh
+
+# Start app
+ENTRYPOINT ["/docker/entrypoint.sh"]
+
+CMD ["node", "main.js"]

README.md

@@ -7,6 +7,7 @@ It is a [Meteor](http://www.meteor.com) app developed with [React](http://reactj
 [Paper.js](http://paperjs.org/) and [three.js](https://threejs.org/).
 
 **Latest changes**
+ - **Version 1.5:** Provide a Docker image and update to Meteor 1.10 
  - **Version 1.4:** Support for RGB pointclouds (thanks @Gekk0r)
  - **Version 1.3:** Improve pointcloud labeling: bug fixes and performance improvement (labeling a 1M pointcloud is now possible)
  - **Version 1.2.2:** Breaking change: exported point cloud coordinates are no longer translated (thanks @hetzge)
@@ -33,6 +34,24 @@ It is a [Meteor](http://www.meteor.com) app developed with [React](http://reactj
 
 ## How to run
 
+### Using Docker Compose
+
+1. Download the docker compose stack file (`sse-docker-stack.yml`)
+2. Set the folder that contains bitmap and point cloud files (`YOUR_IMAGES_PATH`) and run the tool using docker-compose
+3. The tool runs by default on port 80, you can change the mapping in `sse-docker-stack.yml`
+```
+wget https://raw.githubusercontent.com/Hitachi-Automotive-And-Industry-Lab/semantic-segmentation-editor/master/sse-docker-stack.yml
+SSE_IMAGES=YOUR_IMAGES_PATH docker-compose -f sse-docker-stack.yml up
+```
+
+(Optional) You can use your own configuration file based on `settings.json` to customize classes data
+```
+wget https://raw.githubusercontent.com/Hitachi-Automotive-And-Industry-Lab/semantic-segmentation-editor/master/settings.json
+METEOR_SETTINGS=$(cat ./settings.json) SSE_IMAGES=YOUR_IMAGES_PATH docker-compose -f stack.yml up
+```
+
+### Running from source
+
 #### Install Meteor (OSX or Linux) 
 
 ```shell

sse-docker-stack.yml

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+version: '3'
+
+services:
+  app:
+    image: dmandrioli/semantic-segmentation-editor
+    volumes:
+      - "${SSE_IMAGES}:/root/sse-images:rw"
+    ports:
+      - '80:3000'
+    depends_on:
+      - mongo
+    environment:
+      ROOT_URL: ${APP_ROOT_URL:-http://localhost}
+      MONGO_URL: mongodb://mongo:27017/meteor
+      PORT: 3000
+      METEOR_SETTINGS: ${METEOR_SETTINGS}
+
+  mongo:
+    image: mongo:latest
+    command:
+      - --storageEngine=wiredTiger
+    volumes:
+      - data:/data/db
+
+volumes:
+  data: