Docker Environment Setup

- Add docker-compose with python-dev container that mounts all folders
- Add Dockerfile with libraries for point clouds, natural language processing, and CV
- Add .env file for IP Address used by X Forwarding

src/.env

@@ -0,0 +1,3 @@
+# .env for docker-compose
+
+IP_ADDRESS=192.168.1.14

src/Dockerfile

@@ -0,0 +1,22 @@
+FROM python:3
+
+RUN apt-get update && \
+    apt-get install -y \
+        build-essential \
+        python-opencv \
+        libpcl-dev
+
+RUN pip install -U pip && \
+    pip install -U \
+        cython \
+        numpy \
+        scipy \
+        matplotlib \
+        nltk \
+        setuptools \
+        pylint
+
+RUN pip install -U \
+        python-pcl
+
+CMD ["/bin/bash"]

src/docker-compose.yml

@@ -0,0 +1,25 @@
+# Docker Compose
+
+# docker-compose.yml format version
+version: '3'
+
+# Define services
+services:
+    # Python Development Container
+    python-dev:
+        # Use Dockerfile in current folder
+        build: .
+        # Mount ros-dev folder on host to app folder in container
+        volumes:
+            - ./control:/app/control
+            - ./dataset:/app/dataset
+            - ./localization:/app/localization
+            - ./planning:/app/planning
+            - ./semantic:/app/semantic
+            - ./visualization:/app/visualization
+        # Set DISPLAY variable and network mode for GUIs
+        environment:
+            - DISPLAY=${IP_ADDRESS}:0.0
+        network_mode: "host"
+        # Set working directory in container to app folder
+        working_dir: /app