Initial Dockerfile commit

Author: Ashley Walker

.dockerignore

@@ -0,0 +1,14 @@
+node_modules
+npm-debug.log
+Dockerfile*
+docker-compose*
+.dockerignore
+.git
+.gitignore
+.env
+*/bin
+*/obj
+README.md
+LICENSE
+.vscode
+*/aura-props

Dockerfile

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+# Builds an environment that runs the 
+
+FROM continuumio/anaconda3:latest
+LABEL Name=directgeoref Version=0.0.1
+EXPOSE 3000
+
+ENV PATH /opt/conda/bin/
+SHELL ["/bin/bash", "-c"]
+
+# Define the working dir where to put all the source code
+WORKDIR /app
+# And the location of where to link the images when mounting the volume that holds the images, camera JSON and 
+VOLUME [ "/data" ]
+
+# Update conda if required
+RUN conda update conda
+
+# Install all the required packages
+RUN conda install -c conda-forge opencv && \
+pip install navpy piexif geojson panda3d opencv-contrib-python pylint rope matplotlib
+
+# Download the required props package
+ADD https://github.com/AuraUAS/aura-props/archive/master.zip /app/
+
+# extract the compressed files and install
+RUN python -m zipfile -e /app/master.zip /app/ && \
+cd aura-props-master/python && \
+python setup.py install 
+
+# Add the source code last to ensure that the rebuild is as quick as possible
+ADD . /app
+
+ENTRYPOINT ["/bin/bash", "-c"]
+CMD cd /app
+
+# To run, use the following commands:
+# docker run -d --name imageanalysis -v location/on/your/computer:/data imageanalysis
+# docker exec -it imageanalysis /bin/bash

docker-compose.debug.yml

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+version: '2.1'
+
+services:
+  imageanalysis:
+    image: imageanalysis
+    build:
+      context: .
+      dockerfile: Dockerfile
+    ports:
+      - 3000:3000

docker-compose.yml

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+version: '2.1'
+
+services:
+  imageanalysis:
+    image: imageanalysis
+    build: .
+    ports:
+      - 3000:3000

environment.yml

@@ -75,16 +75,17 @@ def standard_project(project_dir, camera, max_camera_angle, detection_options, m
 
 if __name__ == "__main__":
         parser = argparse.ArgumentParser(description='Create an empty project.')
-        # parser.add_argument('--project', required=True, help='Directory with a set of aerial images.')
-        parser.add_argument('--project', default = "D:\\test Project", help='project directory')
-        # parser.add_argument('--camera', help='camera config file path')
-        parser.add_argument('--camera', default = "C:\\Users\\Skywalker\\OneDrive - InFarm\\Repos\\ImageAnalysis\\cameras\\DJI_FC330.json", help='camera config file path')
+        # Required parameters:
+        parser.add_argument('--project', required=True, help='Directory with a set of aerial images.')
+        parser.add_argument('--camera', required=True, help='camera config file path')
+        parser.add_argument('--pix4d', required=True, help='use the specified pix4d csv file (lat,lon,alt,roll,pitch,yaw)')
+        #
+        # All other parameters are optional and will use the default provided:
+        #
         parser.add_argument('--yaw-deg', type=float, default=0.0, help='camera yaw mounting offset from aircraft')
         parser.add_argument('--pitch-deg', type=float, default=-90.0, help='camera pitch mounting offset from aircraft')
         parser.add_argument('--roll-deg', type=float, default=0.0, help='camera roll mounting offset from aircraft')
         parser.add_argument('--meta', help='use the specified image-metadata.txt file (lat,lon,alt,yaw,pitch,roll)')
-        # parser.add_argument('--pix4d', help='use the specified pix4d csv file (lat,lon,alt,roll,pitch,yaw)')
-        parser.add_argument('--pix4d', default = "D:\\test Project\\pix4d.csv", help='use the specified pix4d csv file (lat,lon,alt,roll,pitch,yaw)')
         parser.add_argument('--max-angle', type=float, default=25.0, help='max pitch or roll angle for image inclusion')
         parser.add_argument('--scale', type=float, default=0.5, help='scale images before detecting features, this acts much like a noise filter')
         # detection options: