{
    "id": "9c814f0d-17ce-4c2c-805d-63c77d63c0d4",
    "title": "SimpleImageClassifier",
    "description": "A simple image classifier with parametrizable url to input picture compatible with the D4Science infrastructure",
    "version": "0.0.1",
    "jobControlOptions": [
        "async-execute"
    ],
    "keywords": [
        "pytorch",
        "docker",
        "python",
        "python3",
        "image classifier",
        "classifier"
    ],
    "metadata": [
        {
            "title": "Marco Lettere",
            "role": "author",
            "href": "https://accounts.d4science.org/auth/admin/realms/d4science/users/09138708-9a19-4724-93d1-8c721d591da2"
        },
        {
            "role": "category",
            "title": "Example"
        },
        {
            "role": "category",
            "title": "Image Classifier"
        }
    ],
    "inputs": {
        "ccpimage": {
            "id": "ccpimage",
            "title": "Runtime",
            "description": "The image of the runtime to use for method execution. This depends on the infrastructure specific protocol for interacting with registries.",
            "minOccurs": 1,
            "maxOccurs": 1,
            "schema": {
                "type": "string",
                "format": "url",
                "contentMediaType": "text/plain",
                "default": "nubisware/simpleimageclassifier:latest",
                "readOnly": "true"
            }
        },
        "ccpnote": {
            "id": "ccpnote",
            "title": "Annotations for execution",
            "description": "The value of this parameter will be associated as annotation to the execution.",
            "minOccurs": 1,
            "maxOccurs": 1,
            "schema": {
                "type": "string",
                "format": null,
                "contentMediaType": "text/plain",
                "default": ""
            }
        },
        "pictureurl": {
            "id": "pictureurl",
            "title": "Input picture",
            "description": "The download url of the input picture to be analyzed",
            "minOccurs": 1,
            "maxOccurs": 1,
            "schema": {
                "type": "string",
                "format": "url",
                "default": "https://as1.ftcdn.net/v2/jpg/00/85/32/68/1000_F_85326806_k3nKFfDnL7BKZZpgplibILjssleez7za.jpg"
            }
        }
    },
    "outputs": {
        "inputimage": {
            "id": "inputimage",
            "title": "Input image",
            "description": "The input image that has been analyzed by the classifier",
            "minOccurs": 1,
            "maxOccurs": 1,
            "metadata": [
                {
                    "title": "canegatto.jpg",
                    "role": "file",
                    "href": "/ccp_data/output/canegatto.jpg"
                }
            ],
            "schema": {
                "type": "string",
                "contentEncoding": "binary",
                "contentMediaType": "image/jpeg"
            }
        },
        "outputimage": {
            "id": "outputimage",
            "title": "Output image",
            "description": "The output image is a rendered view of the classification",
            "minOccurs": 1,
            "maxOccurs": 1,
            "metadata": [
                {
                    "title": "canegatto_out.jpg",
                    "role": "file",
                    "href": "/ccp_data/output/canegatto_out.jpg"
                }
            ],
            "schema": {
                "type": "string",
                "contentEncoding": "binary",
                "contentMediaType": "image/jpeg"
            }
        }
    },
    "additionalParameters": {
        "parameters": [
            {
                "name": "execute-script",
                "value": [
                    "python3 -m simpleimageclassifier --config-file /usr/local/lib/python3.8/dist-packages/simpleimageclassifier/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x.yaml --input /ccp_data/output/canegatto.jpg --output /ccp_data/output/canegatto_out.jpg --opts MODEL.DEVICE cpu MODEL.WEIGHTS detectron2://COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x/137849600/model_final_f10217.pkl",
                    "python3 -m simpleimageclassifier --config-file /usr/local/lib/python3.8/dist-packages/simpleimageclassifier/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x.yaml --input canegatto.jpg --output canegatto_out.jpg --opts MODEL.DEVICE cpu MODEL.WEIGHTS detectron2://COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x/137849600/model_final_f10217.pkl"
                ]
            },
            {
                "name": "deploy-script",
                "value": [
                    "mkdir /ccp_data/output",
                    "wget -q -O /ccp_data/output/canegatto.jpg {{ pictureurl }}"
                ]
            },
            {
                "name": "undeploy-script",
                "value": []
            },
            {
                "name": "cancel-script",
                "value": [
                    "echo '' > /dev/null"
                ]
            },
            {
                "name": "lifecycle",
                "value": [
                    {
                        "time": "2024-05-28T13:42:57.211Z",
                        "type": "shared",
                        "user": "https://accounts.d4science.org/auth/admin/realms/d4science/users/09138708-9a19-4724-93d1-8c721d591da2",
                        "context": "%2Fgcube%2Fdevsec%2FdevVRE"
                    }
                ]
            }
        ]
    },
    "links": [
        {
            "rel": "compatibleWith",
            "title": "D4Science development Infrastructure",
            "href": "infrastructures/d4science-dev-swarm"
        },
        {
            "rel": "compatibleWith",
            "title": "D4Science production Infrastructure",
            "href": "infrastructures/d4science-prod-swarm"
        }
    ]
}