set_up_object_detection_api_tf1-15.sh

# Script to install the TFODAPI on a Linux VM or a Docker container. 
# It carries out the installation steps described here: https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/installation.md
# This script was modified from set_up__object_detection_api.sh.

#this block was added to turn off interactive steps during installation (setting the timezone).
export DEBIAN_FRONTEND=noninteractive
ln -fs /usr/share/zoneinfo/Pacific/Honolulu /etc/localtime #change the time zone (Pacific/Honolulu) to yours. Google tzdata for more info.
dpkg-reconfigure --frontend noninteractive tzdata

apt-get update -y
apt-get install -y git wget python3-tk

pip install --upgrade pip
pip install tqdm Cython contextlib2 pillow lxml jupyter matplotlib

cd /lib/tf

git clone https://github.com/tensorflow/models models  # Dockerfile moves this script to /lib/tf/ so that TFODAPI is installed there

git clone https://github.com/cocodataset/cocoapi.git
cd cocoapi/PythonAPI
make
cp -r pycocotools /lib/tf/models/research/
cd ../..

mkdir protoc_3.3
cd protoc_3.3
wget https://github.com/google/protobuf/releases/download/v3.3.0/protoc-3.3.0-linux-x86_64.zip
chmod 775 protoc-3.3.0-linux-x86_64.zip
unzip protoc-3.3.0-linux-x86_64.zip

cd ../models/research

apt-get install -y protobuf-compiler

echo *** Installed protobuf-compiler

../../protoc_3.3/bin/protoc object_detection/protos/*.proto --python_out=.

export PYTHONPATH=$PYTHONPATH:`pwd`:`pwd`/slim
python object_detection/builders/model_builder_test.py
echo **** PYTHONPATH used to run model_builder_test.py
echo $PYTHONPATH

python setup.py sdist
(cd slim && python setup.py sdist)

echo *********** PWD is
echo $PWD
echo *****