tensorflow_ha.sh

CONFIG_DIR='/config'

apt update
apt upgrade -y

apt-get install unzip git nano -y

cd /tmp

git clone --depth 1 https://github.com/tensorflow/models.git tensorflow-models
curl -OL https://github.com/google/protobuf/releases/download/v3.7.1/protoc-3.7.1-linux-x86_64.zip
curl -OL http://download.tensorflow.org/models/object_detection/faster_rcnn_inception_v2_coco_2018_01_28.tar.gz

tar -xzvf faster_rcnn_inception_v2_coco_2018_01_28.tar.gz
mv faster_rcnn_inception_v2_coco_2018_01_28 ${CONFIG_DIR}/tensorflow/

mkdir -p ${CONFIG_DIR}/tensorflow/object_detection

cd /tensorflow-models/research
unzip -a protoc-3.7.1-linux-x86_64.zip -d protobuf
mv protobuf/bin tensorflow-models/research

cd tensorflow-models/research/
./bin/protoc object_detection/protos/*.proto --python_out=.

touch ${CONFIG_DIR}/tensorflow/object_detection/__init__.py
mv object_detection/data ${CONFIG_DIR}/tensorflow/object_detection
mv object_detection/utils ${CONFIG_DIR}/tensorflow/object_detection
mv object_detection/protos ${CONFIG_DIR}/tensorflow/object_detection

docker run -d --restart=always -v /home/userver/config:/config -e TZ=Europe/London --name ha -p 5000:8123 homeassistant/home-assistant

curl -L https://gist.githubusercontent.com/det-peralta/1af23d6134afa2298c6dccae027df128/raw/ddce721e8889187ca3218871f185a6536e88f5dc/tensorflow_ha.sh | bash

image_processing:
  - platform: tensorflow
    source:
      - entity_id: camera.hikvision_entrance
    model:
      graph: /config/tensorflow/frozen_inference_graph.pb
      categories:
        - person
        - car
        - truck
camera:
  - platform: ffmpeg
    name: hikvision_entrance
    input: rtsp://user:pass@ip:554/Streaming/Channels/1