IBM-MAX Image Colorizer

README.md

Image Colorizer Example Flow

This flow uses the Image Colorizer deep learning model from the IBM Model Asset Exchange to colorize black & white images.

We are posting the original image using multipart form data. The headers, payload and url for the request can be constructed using a change or a function node respectively.

Requirements

• node-red-contrib-image-tools

flow.json

[
    {
        "id": "dcdc37fc.6d748",
        "type": "tab",
        "label": "Image Colorizer",
        "disabled": false,
        "info": "This flow uses the [Image Colorizer](https://developer.ibm.com/exchanges/models/all/max-image-colorizer/) deep learning model from the IBM Model Asset Exchange to colorize black & white images.\n\nWe are posting the original image using multipart form data. The headers, payload and url for the request can be constructed using a `change` or a `function` node respectively.\n\n\n## Requirements\n\n - [node-red-contrib-image-tools](https://flows.nodered.org/node/node-red-contrib-image-tools)\n"
    },
    {
        "id": "9e0c491f.61e638",
        "type": "http request",
        "z": "dcdc37fc.6d748",
        "name": "",
        "method": "GET",
        "ret": "bin",
        "paytoqs": false,
        "url": "https://i.guim.co.uk/img/media/3656ae6ea2209d4561caf04fa9f172a519908ca3/0_28_2318_1391/master/2318.jpg?width=1200&height=1200&quality=85&auto=format&fit=crop&s=afcc355f47876bc495cdc3c902639bae",
        "tls": "",
        "persist": false,
        "proxy": "",
        "authType": "",
        "x": 290,
        "y": 120,
        "wires": [
            [
                "8e9e2dc2.95aaf8",
                "670dfe9e.c62a5",
                "2253ac69.5c148c"
            ]
        ]
    },
    {
        "id": "8e9e2dc2.95aaf8",
        "type": "image viewer",
        "z": "dcdc37fc.6d748",
        "name": "",
        "width": "400",
        "data": "payload",
        "dataType": "msg",
        "x": 110,
        "y": 260,
        "wires": [
            []
        ]
    },
    {
        "id": "f310d320.cb58f",
        "type": "inject",
        "z": "dcdc37fc.6d748",
        "name": "",
        "topic": "",
        "payload": "",
        "payloadType": "date",
        "repeat": "",
        "crontab": "",
        "once": false,
        "onceDelay": 0.1,
        "x": 120,
        "y": 120,
        "wires": [
            [
                "9e0c491f.61e638"
            ]
        ]
    },
    {
        "id": "1024136a.b4b4dd",
        "type": "debug",
        "z": "dcdc37fc.6d748",
        "name": "",
        "active": true,
        "tosidebar": true,
        "console": false,
        "tostatus": false,
        "complete": "true",
        "targetType": "full",
        "x": 970,
        "y": 120,
        "wires": []
    },
    {
        "id": "d1e3de64.aa5248",
        "type": "http request",
        "z": "dcdc37fc.6d748",
        "name": "",
        "method": "POST",
        "ret": "bin",
        "paytoqs": false,
        "url": "",
        "tls": "",
        "persist": false,
        "proxy": "",
        "authType": "",
        "x": 730,
        "y": 120,
        "wires": [
            [
                "1024136a.b4b4dd",
                "8a6df8eb.1985b"
            ]
        ]
    },
    {
        "id": "670dfe9e.c62a5",
        "type": "change",
        "z": "dcdc37fc.6d748",
        "d": true,
        "name": "",
        "rules": [
            {
                "t": "set",
                "p": "headers",
                "pt": "msg",
                "to": "{\"Content-Type\":\"multipart/form-data\"}",
                "tot": "json"
            },
            {
                "t": "set",
                "p": "payload",
                "pt": "msg",
                "to": "{\t   'image' : {\t       'value': payload,\t       'options': {\t           'filename': 'image.jpg'\t        }\t    }\t}",
                "tot": "jsonata"
            },
            {
                "t": "set",
                "p": "api",
                "pt": "msg",
                "to": "http://max-image-colorizer.codait-prod-41208c73af8fca213512856c7a09db52-0000.us-east.containers.appdomain.cloud",
                "tot": "str"
            },
            {
                "t": "set",
                "p": "endpoint",
                "pt": "msg",
                "to": "/model/predict",
                "tot": "str"
            },
            {
                "t": "set",
                "p": "url",
                "pt": "msg",
                "to": "$join([api, endpoint])",
                "tot": "jsonata"
            }
        ],
        "action": "",
        "property": "",
        "from": "",
        "to": "",
        "reg": false,
        "x": 520,
        "y": 100,
        "wires": [
            [
                "d1e3de64.aa5248"
            ]
        ]
    },
    {
        "id": "8a6df8eb.1985b",
        "type": "image viewer",
        "z": "dcdc37fc.6d748",
        "name": "",
        "width": "400",
        "data": "payload",
        "dataType": "msg",
        "x": 570,
        "y": 260,
        "wires": [
            []
        ]
    },
    {
        "id": "2253ac69.5c148c",
        "type": "function",
        "z": "dcdc37fc.6d748",
        "name": "multipart form",
        "func": "msg.headers = {\n    \"Content-Type\": \"multipart/form-data\"\n};\n\nmsg.payload = {\n   'image' : {\n       'value': msg.payload,\n       'options': {\n           'filename': 'image.jpg'\n        }\n    }\n};\n\nlet api = \"http://max-image-colorizer.codait-prod-41208c73af8fca213512856c7a09db52-0000.us-east.containers.appdomain.cloud\";\n\nlet endpoint = \"/model/predict\";\n\nmsg.url = api + endpoint;\n\nreturn msg;",
        "outputs": 1,
        "noerr": 0,
        "x": 520,
        "y": 140,
        "wires": [
            [
                "d1e3de64.aa5248"
            ]
        ]
    }
]