tensorflow object detection api install

Dockerfile

FROM tensorflow/tensorflow:latest-gpu-py3

# add some dependencies
RUN apt install protobuf-compiler git -y
RUN pip3 install Cython contextlib2 pillow lxml matplotlib jupyter jupyterlab

# add tf od api
RUN git clone https://github.com/tensorflow/models.git --depth 1

# add coco metrics
RUN git clone https://github.com/cocodataset/cocoapi.git --depth 1
WORKDIR cocoapi/PythonAPI
RUN make
RUN cp -r pycocotools ../../models/research/

# configure env
WORKDIR ../../models/research
RUN protoc object_detection/protos/*.proto --python_out=.
RUN export PYTHONPATH=$PYTHONPATH:`pwd`:`pwd`/slim

# test install
WORKDIR object_detection
#RUN python3 object_detection/builders/model_builder_test.py

install_docker.sh

sudo apt-get remove docker docker-engine docker.io containerd runc -y

sudo apt update

sudo apt-get install \
    apt-transport-https \
    ca-certificates \
    curl \
    gnupg-agent \
    software-properties-common -y

curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -

sudo apt-key fingerprint 0EBFCD88

sudo add-apt-repository \
   "deb [arch=amd64] https://download.docker.com/linux/ubuntu \
   $(lsb_release -cs) \
   stable"

sudo apt update

sudo apt install docker-ce docker-ce-cli containerd.io -y

sudo docker run hello-world

install_nvidia_docker.sh

distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add -
curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list

sudo apt-get update && sudo apt-get install -y nvidia-container-toolkit
sudo systemctl restart docker