From 877fb852fe6632b455826bb949456b01c3d1613b Mon Sep 17 00:00:00 2001
From: Emil Goude <emil.birgersson@gmail.com>
Date: Fri, 17 Aug 2018 09:46:47 +0200
Subject: [PATCH 1/2] First version of a dockerfile

To support running this tutorial inside a Docker container which will hopefully make setup easier
---
 docker/DockerFile | 34 ++++++++++++++++++++++++++++++++++
 1 file changed, 34 insertions(+)
 create mode 100644 docker/DockerFile

diff --git a/docker/DockerFile b/docker/DockerFile
new file mode 100644
index 00000000..41f9cf22
--- /dev/null
+++ b/docker/DockerFile
@@ -0,0 +1,34 @@
+FROM "ubuntu"
+RUN apt-get update && yes | apt-get upgrade
+RUN apt-get update
+RUN apt-get install -y git python-pip libsm6 libxrender-dev python-pil python-lxml protobuf-compiler
+RUN mkdir -p /tensorflow/models
+
+COPY ts-models/models /tensorflow/models
+COPY edje-tutorial/TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10 /tensorflow/models/research/object_detection
+COPY faster_rcnn_inception_v2_coco_2018_01_28.tar.gz /tensorflow/models/research/object_detection
+COPY inference_graph /tensorflow/models/research/object_detection/inference_graph
+
+WORKDIR /tensorflow/models/research/object_detection
+RUN tar -xzf faster_rcnn_inception_v2_coco_2018_01_28.tar.gz
+
+WORKDIR /tensorflow/models/research
+
+RUN pip install tensorflow
+RUN pip install jupyter
+RUN pip install matplotlib
+RUN pip install Cython
+RUN pip install pandas
+RUN pip install opencv-python
+
+RUN protoc object_detection/protos/*.proto --python_out=.
+RUN export PYTHONPATH=$PYTHONPATH:`pwd`:`pwd`/slim
+
+RUN python setup.py build
+RUN python setup.py install
+
+RUN jupyter notebook --generate-config --allow-root
+RUN echo "c.NotebookApp.password = u'sha1:6a3f528eec40:6e896b6e4828f525a6e20e5411cd1c8075d68619'" >> /root/.jupyter/jupyter_notebook_config.py
+EXPOSE 8888
+
+CMD ["jupyter", "notebook", "--allow-root", "--notebook-dir=/tensorflow/models/research/object_detection", "--ip='*'", "--port=8888", "--no-browser"]

From ad34b9a6e78f7e4eaf14190c9b00f7a004c78457 Mon Sep 17 00:00:00 2001
From: Emil Goude <emil.birgersson@gmail.com>
Date: Fri, 17 Aug 2018 09:47:46 +0200
Subject: [PATCH 2/2] Adding a readme file

To make it easier to build and run the container.
---
 docker/readme.txt | 37 +++++++++++++++++++++++++++++++++++++
 1 file changed, 37 insertions(+)
 create mode 100644 docker/readme.txt

diff --git a/docker/readme.txt b/docker/readme.txt
new file mode 100644
index 00000000..e3cb142b
--- /dev/null
+++ b/docker/readme.txt
@@ -0,0 +1,37 @@
+# This work build upon the Docker container created in this example:
+# https://towardsdatascience.com/tensorflow-object-detection-with-docker-from-scratch-5e015b639b0b
+
+1. Manual download dependencies needed for the container
+# Download TensorFlow models and examples
+git clone https://github.com/tensorflow/models.git
+
+# Download EdjeElectronics tutorial
+git clone https://github.com/EdjeElectronics/TensorFlow-Object-Detection-API-#Tutorial-Train-Multiple-Objects-Windows-10.git
+
+# Download (and unzip) inference_graph into folder inference_graph
+https://www.dropbox.com/s/va9ob6wcucusse1/inference_graph.zip?dl=0
+
+Your directory should now look like this:
+
++ edje-tutorial
++ inference_graph
++ ts_models (contains models/research/... folders)
+DockerFile
+faster_rcnn_inception_v2_coco_2018_01_28.tar.gz
+readme.txt
+
+2. Build and run the docker container
+Download and install Docker if yoiu havent already, make sure your Docker is set to "Linux Containers"
+Now open up a command line and navigate to this directory
+
+docker build -t ts-api .
+< = Should finish without any major errors
+
+Now start the container:
+docker run -it --name ts-api -p 8888:8888 ts-api /bin/bash
+If you donw want interactive container, simply run
+docker run --name ts-api -p 8888:8888 ts-api
+
+If everything is ok, you should be able to browse http://localhost:8888 and see the Jupyter login prompt
+
+