minimal Dockerfile for running some edgetpu demos

Dockerfile.edgetpu.tensorflow.1.15.0-py3

# 1) create this dockerfile
# 2) build: docker build -t "coral-edgetpu" .
# 3) run: docker run -it --privileged -v /dev/bus/usb:/dev/bus/usb coral-edgetpu /bin/bash
# 4) download install requriements: cd ~/tflite/python/examples/classification/ && bash install_requirements.sh
# 5) run example: python3 classify_image.py \
# > --model models/mobilenet_v2_1.0_224_inat_bird_quant_edgetpu.tflite \
# > --labels models/inat_bird_labels.txt \
# > --input images/parrot.jpg

FROM tensorflow/tensorflow:1.15.0-py3

WORKDIR /home
ENV HOME /home
VOLUME /data
EXPOSE 8888
RUN cd ~
RUN apt-get update
RUN apt-get install -y git nano python-pip python-dev pkg-config wget usbutils

RUN echo "deb https://packages.cloud.google.com/apt coral-edgetpu-stable main" \
| tee /etc/apt/sources.list.d/coral-edgetpu.list
RUN curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | apt-key add -
RUN apt-get update
RUN apt-get install -y libedgetpu1-std

RUN wget https://dl.google.com/coral/python/tflite_runtime-2.1.0-cp36-cp36m-linux_x86_64.whl
RUN pip3 install tflite_runtime-2.1.0-cp36-cp36m-linux_x86_64.whl

RUN mkdir coral && cd coral
RUN git clone https://github.com/google-coral/tflite.git