node-red-contrib-google-video-object-detection 0.0.2

Node Red node for detecting objects in video clips using Google Video Intelligence API

npm install node-red-contrib-google-video-object-detection

node-red-contrib-google-video-object-detection

This is a Node Red node that takes a video input, sends it to the Google Video Intelligence API and returns a list of objects from the video clip along with the confidence of each object and details of when it was seen in the video.

Installation

Please follow the Node-RED documentation to install node-red-contrib-google-video-object-detection.

Google Cloud Credentials

The node created in this package requires Google Cloud Service Credentials to run.

In your Google Cloud Project please add Billing to your account and then add the Vision API.

The credentials for a service account can be acquired from the Google Cloud APIs & Services menu. After you finish creating a service account key, it will be downloaded in JSON format and saved to a local file.

In the node configuration you have to supply the path to the JSON credentials file.

How to use

This package creates a new node in your Node Red instance called google video object detection under the Object Detection category in your node list.

Drag this node into your flow.

Double click on the node to set the path to your Google Cloud services credentials JSON file.

Input a msg object with either of the following:

• msg.filename a relative path to the video clip file you wish to process (on your local filesystem)
• msg.payload a Base64 representation of the video clip

See the below example for more information.

Example flow

Copy the below JSON and use "import" in node red to import this flow.

[
  {
    "id": "f26d411d.674f2",
    "type": "file in",
    "z": "ff2832e2.b6c11",
    "name": "",
    "filename": "/path/to/video.mp4",
    "format": "utf8",
    "chunk": false,
    "sendError": false,
    "encoding": "base64",
    "x": 430,
    "y": 180,
    "wires": [["dc482fa2.3e6d5"]]
  },
  {
    "id": "dc482fa2.3e6d5",
    "type": "google-video-object-detection",
    "z": "ff2832e2.b6c11",
    "keyFilename": "/path/to/service_account.json",
    "name": "",
    "x": 630,
    "y": 180,
    "wires": [["3f4a5e23.9f0512"]]
  },
  {
    "id": "3f4a5e23.9f0512",
    "type": "function",
    "z": "ff2832e2.b6c11",
    "name": "Create array of objects",
    "func": "let objs = []\nconst objects = msg.payload.objectAnnotations;\nobjects.forEach(object => {\n    objs.push(object.entity.description);\n});\n\nmsg.payload = objs;\n\nreturn msg;",
    "outputs": 1,
    "noerr": 0,
    "x": 840,
    "y": 180,
    "wires": [["791bf534.bace7c"]]
  },
  {
    "id": "791bf534.bace7c",
    "type": "debug",
    "z": "ff2832e2.b6c11",
    "name": "",
    "active": true,
    "tosidebar": true,
    "console": false,
    "tostatus": false,
    "complete": "false",
    "x": 1050,
    "y": 180,
    "wires": []
  },
  {
    "id": "a339af40.9bee8",
    "type": "inject",
    "z": "ff2832e2.b6c11",
    "name": "",
    "topic": "",
    "payload": "",
    "payloadType": "date",
    "repeat": "",
    "crontab": "",
    "once": false,
    "onceDelay": 0.1,
    "x": 240,
    "y": 180,
    "wires": [["f26d411d.674f2"]]
  }
]