Dockerize

.gitignore

@@ -1 +1,6 @@
 *.pyc
+
+/Input/*.jpg
+/Output
+models/foto2vam.json
+models/foto2vam.model

Dockerfile

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+FROM python:3.6.5
+
+WORKDIR /var/app
+
+RUN pip3 install virtualenv
+RUN virtualenv /var/app
+ADD . /var/app
+COPY ./linux-requirements.txt /var/app/requirements.txt
+RUN if [ -f /var/app/requirements.txt ]; then pip3 install -r /var/app/requirements.txt; fi
+
+CMD ["python", "foto2vam.py"]

Input/readme.md

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+# What do I put in here?
+
+Find unobscured frontal image and 35ish degree angle (looking left. Mirror if your image isn't facing left) image of your desired person with a neutral expression on their face (eg not laughing, smiling, talking...), name them exactly like the examples, and then run 'python foto2vam.py' (Note: It can read JPG images just fine, but it searches for PNG images. Rename a .JPG to .PNG and it'll work)
+
+### Example Names
+
+	facename_angle0.png
+	facename_angle35.png

linux-requirements.txt

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+cmake
+dlib
+face_recognition
+deap
+opencv-python
+imutils
+keras
+tensorflow

models/readme.md

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+# What goes in here?
+
+You will need these files:
+
+	foto2vam.json
+	foto2vam.model
+
+### Get them here for now...
+
+https://mega.nz/#!eS5UCaDI!0At_bGZT9Rt9gqwLF7nsdcENvVKCJykIVDfFt_J4ksU

readme.md

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+# How to run easily
+Use Docker to have repeatable success.  If you can install Docker, you win.
+
+### Install Docker
+https://docs.docker.com/docker-for-mac/install/
+https://docs.docker.com/docker-for-windows/install/
+
+### Setup
+cd foto2vam
+docker build -t vdo/foto2vam:1.0.0 .
+
+### Running for new models
+cd foto2vam
+Add new photos to Input folder then....
+docker run -v $(pwd)/:/var/app/ vdo/foto2vam:1.0.0