How I installed Tensorflow on the Raspberry Pi - Steps

Tensorflow on Raspberry Pi.md

Install pi, then camera, then edit the /boot/config.txt Add disable_camera_led=1 to the bottom of the file and rebooting.

Best to disable screensaver mode, as some follow-up commands may take hours

sudo apt-get install xscreensaver
xscreensaver

Then disable screen saver in the “Display Mode” tab.

Now get Tensorflow Installed

sudo apt-get update
sudo apt-get dist-upgrade
sudo apt-get update
sudo apt-get install libatlas-base-dev
sudo apt-get install libjasper-dev libqtgui4 python3-pyqt5
pip3 install tensorflow
sudo apt-get install libjpeg-dev zlib1g-dev libxml2-dev libxslt1-dev
pip3 install pillow jupyter matplotlib cython
pip3 install lxml # this one takes a long time
pip3 install python-tk

OpenCV

sudo apt-get install libtiff5-dev libjasper-dev libpng12-dev
Sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev
sudo apt-get install libxvidcore-dev libx264-dev
sudo apt-get install qt4-dev-tools
pip3 install opencv-python

Install Protobuff

sudo apt-get install autoconf automake libtool curl

Then pull down protobuff and untar it.
https://github.com/protocolbuffers/protobuf/releases

Then cd in and then run the following command which might cause the computer to become unusable for the next 2+ hours. Use ctrl + alt + F1, to move to terminal only and release all UI RAM. Close x process with control + c if needed. You can then run the long-running command. Base username “pi” and password “raspberry”

make && make check

You can then install simply with

sudo make install
cd python
export LD_LIBRARY_PATH=../src/.libs
python3 setup.py build --cpp_implementation
python3 setup.py test --cpp_implementation
sudo python3 setup.py install --cpp_implementation
export PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=cpp
export PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION_VERSION=3
sudo ldconfig

Once this is done, you can clean up some install crud with sudo apt-get autoremove, delete the tar.gz download and then finally reboot with sudo reboot now which will return you to a windowed interface

Setup Tensorflow

mkdir tensorflow1 && cd tesorflow1
git clone --recurse-submodules \ https://github.com/tensorflow/models.git
modify ~/.bashrc to contain new env var named PYTHONPATH as such
export PYTHONPATH=$PYTHONPATH:/home/pi/tensorflow1/models/research:/home/pi/tensorflow1/models/research/slim

Now go to the zoo: https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md We’ll take the ssdlite_mobilenet, which is the fastest! Wget the file and then tar -xzvf the tar.gz result and delete the archive once untarred. Do this in the object_detection folder in your local tensorflow1 folder. Now cd up to the research dir. Then run:

protoc object_detection/protos/*.proto --python_out=.

This converted the object detection protos files to python in the proto folder

Done Installing!!