TensorFlow with compiled wheel & libraries for Docker Home Assistant on Synology DS918+

Works with Docker Home Assistant 0.96.5 (Python 3.7.4).

Wheel Specs:

• TensorFlow 1.14.1
• Python 3.7
• No AVX instruction set
• Only CPU
• Build on DSM 6.2.2-24922 Update 2, INTEL Celeron J3455

Download

• Wheel: https://drive.google.com/file/d/1WmU_NGkJ4rGURgqBtQw7y5NNSVD_sxOA/view?usp=sharing
• Recommended model: http://download.tensorflow.org/models/object_detection/faster_rcnn_inception_v2_coco_2018_01_28.tar.gz
• Already compiled libraries: https://drive.google.com/file/d/1jQRqsSVi2hr9G6hWGwjgyfvLMOVTHHGE/view?usp=sharing

Install:

1. Download object_detection.zip, unzip & copy to:

/HA config dir/tensorflow/object_detection/

2. Download recommended model & copy to:

/HA config dir/tensorflow/faster_rcnn_inception_v2_coco_2018_01_28/

3. Download wheel & copy to:

/HA config dir/tensorflow/

4. Create tmp folder:

/HA config dir/tensorflow/tmp/

5. Edit HA config:

image_processing:
  - platform: tensorflow
    scan_interval: 600
    source:
      - entity_id: camera.*
      - entity_id: camera.*
      - entity_id: camera.*
      - entity_id: camera.*
    file_out:
      - "/config/tensorflow/tmp/{{ camera_entity.split('.')[1] }}_latest.jpg"
      - "/config/tensorflow/tmp/{{ camera_entity.split('.')[1] }}_{{ now().strftime('%Y%m%d_%H%M%S') }}.jpg"
    model:
      graph: /config/tensorflow/faster_rcnn_inception_v2_coco_2018_01_28/frozen_inference_graph.pb
      categories:
        - cat
        - person
        - backpack
        - umbrella
        - handbag
        - suitcase
        - bottle
        - wine glass
        - cup
        - fork
        - spoon
        - knife
        - banana
        - apple
        - sandwich
        - orange
        - broccoli
        - carrot
        - pizza
        - donut
        - cake
        - chair
        - potted plant
        - dining table
        - toilet
        - laptop
        - mouse
        - remote
        - keyboard
        - cell phone
        - microwave
        - oven
        - book
        - scissors
        - hair drier
        - toothbrush

5. Install wheel inside HA docker container via terminal:

docker exec -it homeassistant  /bin/bash
pip3 install /config/tensorflow/tensorflow-1.14.1-cp37-cp37m-linux_x86_64.whl

6. Reboot HA