{
    "swagger": "2.0",
    "basePath": "/",
    "paths": {
        "/model/metadata": {
            "get": {
                "responses": {
                    "200": {
                        "description": "Success",
                        "schema": {
                            "$ref": "#/definitions/ModelMetadata"
                        }
                    }
                },
                "summary": "Return the metadata associated with the model",
                "operationId": "get_metadata",
                "tags": [
                    "model"
                ]
            }
        },
        "/model/predict": {
            "post": {
                "responses": {
                    "200": {
                        "description": "Success",
                        "schema": {
                            "$ref": "#/definitions/ModelPredictResponse"
                        }
                    }
                },
                "summary": "Make a prediction given input data",
                "operationId": "predict",
                "parameters": [
                    {
                        "name": "image",
                        "in": "formData",
                        "type": "file",
                        "required": true,
                        "description": "An image file (encoded as PNG or JPG/JPEG)"
                    }
                ],
                "consumes": [
                    "multipart/form-data"
                ],
                "tags": [
                    "model"
                ]
            }
        }
    },
    "info": {
        "title": "Model Asset Exchange Server",
        "version": "0.1",
        "description": "An API for serving models"
    },
    "produces": [
        "application/json"
    ],
    "consumes": [
        "application/json"
    ],
    "tags": [
        {
            "name": "model",
            "description": "Model information and inference operations"
        }
    ],
    "definitions": {
        "ModelMetadata": {
            "required": [
                "description",
                "id",
                "name"
            ],
            "properties": {
                "id": {
                    "type": "string",
                    "description": "deeplab"
                },
                "name": {
                    "type": "string",
                    "description": "mobilenetv2_coco_voc_trainval / xception_coco_voc_trainval"
                },
                "description": {
                    "type": "string",
                    "description": "Models trained on VOCO 2012. See https://github.com/tensorflow/models/blob/master/research/deeplab/g3doc/model_zoo.md"
                },
                "license": {
                    "type": "string",
                    "description": "Apache v2"
                }
            },
            "type": "object"
        },
        "ModelPredictResponse": {
            "required": [
                "status"
            ],
            "properties": {
                "status": {
                    "type": "string",
                    "description": "Response status message"
                },
                "image_size": {
                    "type": "array",
                    "description": "The size of the output image segmentation map (may differ from input image)",
                    "items": {
                        "type": "integer"
                    }
                },
                "seg_map": {
                    "type": "array",
                    "items": {
                        "type": "array",
                        "description": "Segmentation map containing a predicted class for each pixel",
                        "items": {
                            "type": "integer"
                        }
                    }
                }
            },
            "type": "object"
        }
    },
    "responses": {
        "ParseError": {
            "description": "When a mask can't be parsed"
        },
        "MaskError": {
            "description": "When any error occurs on mask"
        }
    }
}