Readme documentation updated with how to run. Dockerfile 2nd commit

Author: Ashley Walker

Dockerfile

@@ -1,8 +1,7 @@
-# Builds an environment that runs the 
+# Builds an environment that runs the image analysis direct georeferecing tool set.
 
 FROM continuumio/anaconda3:latest
-LABEL Name=directgeoref Version=0.0.1
-EXPOSE 3000
+LABEL Name=imageanalysis Version=0.1
 
 ENV PATH /opt/conda/bin/
 SHELL ["/bin/bash", "-c"]
@@ -16,8 +15,8 @@ VOLUME [ "/data" ]
 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
+RUN pip install opencv-python opencv-utils opencv-contrib-python==3.4.2.17 && \
+pip install navpy piexif geojson panda3d pylint rope matplotlib
 
 # Download the required props package
 ADD https://github.com/AuraUAS/aura-props/archive/master.zip /app/
@@ -35,4 +34,8 @@ 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 exec -it imageanalysis /bin/bash
+
+# When in the container, you can navigate to the project runner dir and run with the following:
+# cd scripts
+# python project_runner.py --project /data --camera /app/cameras/DJI_FC330.json --pix4d /data/pix4d.csv

README.md

@@ -162,4 +162,22 @@ Wish list items:
 ## installation hints
 
   - sudo pip3 install opencv-contrib-python
-  - sudo pip3 install --pre --extra-index-url https://archive.panda3d.org/ panda3d
+  - sudo pip3 install --pre --extra-index-url https://archive.panda3d.org/ panda3d
+
+## Run with Docker
+
+When you clone the repo, you can then build the docker image and run from inside of the docker image with the following commands:
+
+````{.shell}
+docker run -d --name imageanalysis -v location/on/your/computer:/data imageanalysis
+docker exec -it imageanalysis /bin/bash
+````
+
+Ensure that you change ```location/on/your/computer``` to a location that holds all of your images, and the pix4d.csv file
+
+When in the container, you can navigate to the project runner dir and run with the following:
+
+````{.shell}
+cd scripts
+python project_runner.py --project /data --camera /app/cameras/DJI_FC330.json --pix4d /data/pix4d.csv
+````