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restic/vendor/google.golang.org/api/vision/v1/vision-api.json
Alexander Neumann c0960f538f Update vendored library google.golang.org/api
2018-03-30 12:51:18 +02:00

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{
"auth": {
"oauth2": {
"scopes": {
"https://www.googleapis.com/auth/cloud-platform": {
"description": "View and manage your data across Google Cloud Platform services"
},
"https://www.googleapis.com/auth/cloud-vision": {
"description": "Apply machine learning models to understand and label images"
}
}
}
},
"basePath": "",
"baseUrl": "https://vision.googleapis.com/",
"batchPath": "batch",
"canonicalName": "Vision",
"description": "Integrates Google Vision features, including image labeling, face, logo, and landmark detection, optical character recognition (OCR), and detection of explicit content, into applications.",
"discoveryVersion": "v1",
"documentationLink": "https://cloud.google.com/vision/",
"fullyEncodeReservedExpansion": true,
"icons": {
"x16": "http://www.google.com/images/icons/product/search-16.gif",
"x32": "http://www.google.com/images/icons/product/search-32.gif"
},
"id": "vision:v1",
"kind": "discovery#restDescription",
"name": "vision",
"ownerDomain": "google.com",
"ownerName": "Google",
"parameters": {
"$.xgafv": {
"description": "V1 error format.",
"enum": [
"1",
"2"
],
"enumDescriptions": [
"v1 error format",
"v2 error format"
],
"location": "query",
"type": "string"
},
"access_token": {
"description": "OAuth access token.",
"location": "query",
"type": "string"
},
"alt": {
"default": "json",
"description": "Data format for response.",
"enum": [
"json",
"media",
"proto"
],
"enumDescriptions": [
"Responses with Content-Type of application/json",
"Media download with context-dependent Content-Type",
"Responses with Content-Type of application/x-protobuf"
],
"location": "query",
"type": "string"
},
"bearer_token": {
"description": "OAuth bearer token.",
"location": "query",
"type": "string"
},
"callback": {
"description": "JSONP",
"location": "query",
"type": "string"
},
"fields": {
"description": "Selector specifying which fields to include in a partial response.",
"location": "query",
"type": "string"
},
"key": {
"description": "API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.",
"location": "query",
"type": "string"
},
"oauth_token": {
"description": "OAuth 2.0 token for the current user.",
"location": "query",
"type": "string"
},
"pp": {
"default": "true",
"description": "Pretty-print response.",
"location": "query",
"type": "boolean"
},
"prettyPrint": {
"default": "true",
"description": "Returns response with indentations and line breaks.",
"location": "query",
"type": "boolean"
},
"quotaUser": {
"description": "Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.",
"location": "query",
"type": "string"
},
"uploadType": {
"description": "Legacy upload protocol for media (e.g. \"media\", \"multipart\").",
"location": "query",
"type": "string"
},
"upload_protocol": {
"description": "Upload protocol for media (e.g. \"raw\", \"multipart\").",
"location": "query",
"type": "string"
}
},
"protocol": "rest",
"resources": {
"images": {
"methods": {
"annotate": {
"description": "Run image detection and annotation for a batch of images.",
"flatPath": "v1/images:annotate",
"httpMethod": "POST",
"id": "vision.images.annotate",
"parameterOrder": [],
"parameters": {},
"path": "v1/images:annotate",
"request": {
"$ref": "BatchAnnotateImagesRequest"
},
"response": {
"$ref": "BatchAnnotateImagesResponse"
},
"scopes": [
"https://www.googleapis.com/auth/cloud-platform",
"https://www.googleapis.com/auth/cloud-vision"
]
}
}
},
"locations": {
"resources": {
"operations": {
"methods": {
"get": {
"description": "Gets the latest state of a long-running operation. Clients can use this\nmethod to poll the operation result at intervals as recommended by the API\nservice.",
"flatPath": "v1/locations/{locationsId}/operations/{operationsId}",
"httpMethod": "GET",
"id": "vision.locations.operations.get",
"parameterOrder": [
"name"
],
"parameters": {
"name": {
"description": "The name of the operation resource.",
"location": "path",
"pattern": "^locations/[^/]+/operations/[^/]+$",
"required": true,
"type": "string"
}
},
"path": "v1/{+name}",
"response": {
"$ref": "Operation"
},
"scopes": [
"https://www.googleapis.com/auth/cloud-platform",
"https://www.googleapis.com/auth/cloud-vision"
]
}
}
}
}
},
"operations": {
"methods": {
"cancel": {
"description": "Starts asynchronous cancellation on a long-running operation. The server\nmakes a best effort to cancel the operation, but success is not\nguaranteed. If the server doesn't support this method, it returns\n`google.rpc.Code.UNIMPLEMENTED`. Clients can use\nOperations.GetOperation or\nother methods to check whether the cancellation succeeded or whether the\noperation completed despite cancellation. On successful cancellation,\nthe operation is not deleted; instead, it becomes an operation with\nan Operation.error value with a google.rpc.Status.code of 1,\ncorresponding to `Code.CANCELLED`.",
"flatPath": "v1/operations/{operationsId}:cancel",
"httpMethod": "POST",
"id": "vision.operations.cancel",
"parameterOrder": [
"name"
],
"parameters": {
"name": {
"description": "The name of the operation resource to be cancelled.",
"location": "path",
"pattern": "^operations/.+$",
"required": true,
"type": "string"
}
},
"path": "v1/{+name}:cancel",
"request": {
"$ref": "CancelOperationRequest"
},
"response": {
"$ref": "Empty"
},
"scopes": [
"https://www.googleapis.com/auth/cloud-platform",
"https://www.googleapis.com/auth/cloud-vision"
]
},
"delete": {
"description": "Deletes a long-running operation. This method indicates that the client is\nno longer interested in the operation result. It does not cancel the\noperation. If the server doesn't support this method, it returns\n`google.rpc.Code.UNIMPLEMENTED`.",
"flatPath": "v1/operations/{operationsId}",
"httpMethod": "DELETE",
"id": "vision.operations.delete",
"parameterOrder": [
"name"
],
"parameters": {
"name": {
"description": "The name of the operation resource to be deleted.",
"location": "path",
"pattern": "^operations/.+$",
"required": true,
"type": "string"
}
},
"path": "v1/{+name}",
"response": {
"$ref": "Empty"
},
"scopes": [
"https://www.googleapis.com/auth/cloud-platform",
"https://www.googleapis.com/auth/cloud-vision"
]
},
"get": {
"description": "Gets the latest state of a long-running operation. Clients can use this\nmethod to poll the operation result at intervals as recommended by the API\nservice.",
"flatPath": "v1/operations/{operationsId}",
"httpMethod": "GET",
"id": "vision.operations.get",
"parameterOrder": [
"name"
],
"parameters": {
"name": {
"description": "The name of the operation resource.",
"location": "path",
"pattern": "^operations/[^/]+$",
"required": true,
"type": "string"
}
},
"path": "v1/{+name}",
"response": {
"$ref": "Operation"
},
"scopes": [
"https://www.googleapis.com/auth/cloud-platform",
"https://www.googleapis.com/auth/cloud-vision"
]
},
"list": {
"description": "Lists operations that match the specified filter in the request. If the\nserver doesn't support this method, it returns `UNIMPLEMENTED`.\n\nNOTE: the `name` binding allows API services to override the binding\nto use different resource name schemes, such as `users/*/operations`. To\noverride the binding, API services can add a binding such as\n`\"/v1/{name=users/*}/operations\"` to their service configuration.\nFor backwards compatibility, the default name includes the operations\ncollection id, however overriding users must ensure the name binding\nis the parent resource, without the operations collection id.",
"flatPath": "v1/operations",
"httpMethod": "GET",
"id": "vision.operations.list",
"parameterOrder": [
"name"
],
"parameters": {
"filter": {
"description": "The standard list filter.",
"location": "query",
"type": "string"
},
"name": {
"description": "The name of the operation's parent resource.",
"location": "path",
"pattern": "^operations$",
"required": true,
"type": "string"
},
"pageSize": {
"description": "The standard list page size.",
"format": "int32",
"location": "query",
"type": "integer"
},
"pageToken": {
"description": "The standard list page token.",
"location": "query",
"type": "string"
}
},
"path": "v1/{+name}",
"response": {
"$ref": "ListOperationsResponse"
},
"scopes": [
"https://www.googleapis.com/auth/cloud-platform",
"https://www.googleapis.com/auth/cloud-vision"
]
}
}
}
},
"revision": "20180327",
"rootUrl": "https://vision.googleapis.com/",
"schemas": {
"AnnotateImageRequest": {
"description": "Request for performing Google Cloud Vision API tasks over a user-provided\nimage, with user-requested features.",
"id": "AnnotateImageRequest",
"properties": {
"features": {
"description": "Requested features.",
"items": {
"$ref": "Feature"
},
"type": "array"
},
"image": {
"$ref": "Image",
"description": "The image to be processed."
},
"imageContext": {
"$ref": "ImageContext",
"description": "Additional context that may accompany the image."
}
},
"type": "object"
},
"AnnotateImageResponse": {
"description": "Response to an image annotation request.",
"id": "AnnotateImageResponse",
"properties": {
"cropHintsAnnotation": {
"$ref": "CropHintsAnnotation",
"description": "If present, crop hints have completed successfully."
},
"error": {
"$ref": "Status",
"description": "If set, represents the error message for the operation.\nNote that filled-in image annotations are guaranteed to be\ncorrect, even when `error` is set."
},
"faceAnnotations": {
"description": "If present, face detection has completed successfully.",
"items": {
"$ref": "FaceAnnotation"
},
"type": "array"
},
"fullTextAnnotation": {
"$ref": "TextAnnotation",
"description": "If present, text (OCR) detection or document (OCR) text detection has\ncompleted successfully.\nThis annotation provides the structural hierarchy for the OCR detected\ntext."
},
"imagePropertiesAnnotation": {
"$ref": "ImageProperties",
"description": "If present, image properties were extracted successfully."
},
"labelAnnotations": {
"description": "If present, label detection has completed successfully.",
"items": {
"$ref": "EntityAnnotation"
},
"type": "array"
},
"landmarkAnnotations": {
"description": "If present, landmark detection has completed successfully.",
"items": {
"$ref": "EntityAnnotation"
},
"type": "array"
},
"logoAnnotations": {
"description": "If present, logo detection has completed successfully.",
"items": {
"$ref": "EntityAnnotation"
},
"type": "array"
},
"safeSearchAnnotation": {
"$ref": "SafeSearchAnnotation",
"description": "If present, safe-search annotation has completed successfully."
},
"textAnnotations": {
"description": "If present, text (OCR) detection has completed successfully.",
"items": {
"$ref": "EntityAnnotation"
},
"type": "array"
},
"webDetection": {
"$ref": "WebDetection",
"description": "If present, web detection has completed successfully."
}
},
"type": "object"
},
"BatchAnnotateImagesRequest": {
"description": "Multiple image annotation requests are batched into a single service call.",
"id": "BatchAnnotateImagesRequest",
"properties": {
"requests": {
"description": "Individual image annotation requests for this batch.",
"items": {
"$ref": "AnnotateImageRequest"
},
"type": "array"
}
},
"type": "object"
},
"BatchAnnotateImagesResponse": {
"description": "Response to a batch image annotation request.",
"id": "BatchAnnotateImagesResponse",
"properties": {
"responses": {
"description": "Individual responses to image annotation requests within the batch.",
"items": {
"$ref": "AnnotateImageResponse"
},
"type": "array"
}
},
"type": "object"
},
"Block": {
"description": "Logical element on the page.",
"id": "Block",
"properties": {
"blockType": {
"description": "Detected block type (text, image etc) for this block.",
"enum": [
"UNKNOWN",
"TEXT",
"TABLE",
"PICTURE",
"RULER",
"BARCODE"
],
"enumDescriptions": [
"Unknown block type.",
"Regular text block.",
"Table block.",
"Image block.",
"Horizontal/vertical line box.",
"Barcode block."
],
"type": "string"
},
"boundingBox": {
"$ref": "BoundingPoly",
"description": "The bounding box for the block.\nThe vertices are in the order of top-left, top-right, bottom-right,\nbottom-left. When a rotation of the bounding box is detected the rotation\nis represented as around the top-left corner as defined when the text is\nread in the 'natural' orientation.\nFor example:\n\n* when the text is horizontal it might look like:\n\n 0----1\n | |\n 3----2\n\n* when it's rotated 180 degrees around the top-left corner it becomes:\n\n 2----3\n | |\n 1----0\n\n and the vertice order will still be (0, 1, 2, 3)."
},
"confidence": {
"description": "Confidence of the OCR results on the block. Range [0, 1].",
"format": "float",
"type": "number"
},
"paragraphs": {
"description": "List of paragraphs in this block (if this blocks is of type text).",
"items": {
"$ref": "Paragraph"
},
"type": "array"
},
"property": {
"$ref": "TextProperty",
"description": "Additional information detected for the block."
}
},
"type": "object"
},
"BoundingPoly": {
"description": "A bounding polygon for the detected image annotation.",
"id": "BoundingPoly",
"properties": {
"vertices": {
"description": "The bounding polygon vertices.",
"items": {
"$ref": "Vertex"
},
"type": "array"
}
},
"type": "object"
},
"CancelOperationRequest": {
"description": "The request message for Operations.CancelOperation.",
"id": "CancelOperationRequest",
"properties": {},
"type": "object"
},
"Color": {
"description": "Represents a color in the RGBA color space. This representation is designed\nfor simplicity of conversion to/from color representations in various\nlanguages over compactness; for example, the fields of this representation\ncan be trivially provided to the constructor of \"java.awt.Color\" in Java; it\ncan also be trivially provided to UIColor's \"+colorWithRed:green:blue:alpha\"\nmethod in iOS; and, with just a little work, it can be easily formatted into\na CSS \"rgba()\" string in JavaScript, as well. Here are some examples:\n\nExample (Java):\n\n import com.google.type.Color;\n\n // ...\n public static java.awt.Color fromProto(Color protocolor) {\n float alpha = protocolor.hasAlpha()\n ? protocolor.getAlpha().getValue()\n : 1.0;\n\n return new java.awt.Color(\n protocolor.getRed(),\n protocolor.getGreen(),\n protocolor.getBlue(),\n alpha);\n }\n\n public static Color toProto(java.awt.Color color) {\n float red = (float) color.getRed();\n float green = (float) color.getGreen();\n float blue = (float) color.getBlue();\n float denominator = 255.0;\n Color.Builder resultBuilder =\n Color\n .newBuilder()\n .setRed(red / denominator)\n .setGreen(green / denominator)\n .setBlue(blue / denominator);\n int alpha = color.getAlpha();\n if (alpha != 255) {\n result.setAlpha(\n FloatValue\n .newBuilder()\n .setValue(((float) alpha) / denominator)\n .build());\n }\n return resultBuilder.build();\n }\n // ...\n\nExample (iOS / Obj-C):\n\n // ...\n static UIColor* fromProto(Color* protocolor) {\n float red = [protocolor red];\n float green = [protocolor green];\n float blue = [protocolor blue];\n FloatValue* alpha_wrapper = [protocolor alpha];\n float alpha = 1.0;\n if (alpha_wrapper != nil) {\n alpha = [alpha_wrapper value];\n }\n return [UIColor colorWithRed:red green:green blue:blue alpha:alpha];\n }\n\n static Color* toProto(UIColor* color) {\n CGFloat red, green, blue, alpha;\n if (![color getRed:\u0026red green:\u0026green blue:\u0026blue alpha:\u0026alpha]) {\n return nil;\n }\n Color* result = [Color alloc] init];\n [result setRed:red];\n [result setGreen:green];\n [result setBlue:blue];\n if (alpha \u003c= 0.9999) {\n [result setAlpha:floatWrapperWithValue(alpha)];\n }\n [result autorelease];\n return result;\n }\n // ...\n\n Example (JavaScript):\n\n // ...\n\n var protoToCssColor = function(rgb_color) {\n var redFrac = rgb_color.red || 0.0;\n var greenFrac = rgb_color.green || 0.0;\n var blueFrac = rgb_color.blue || 0.0;\n var red = Math.floor(redFrac * 255);\n var green = Math.floor(greenFrac * 255);\n var blue = Math.floor(blueFrac * 255);\n\n if (!('alpha' in rgb_color)) {\n return rgbToCssColor_(red, green, blue);\n }\n\n var alphaFrac = rgb_color.alpha.value || 0.0;\n var rgbParams = [red, green, blue].join(',');\n return ['rgba(', rgbParams, ',', alphaFrac, ')'].join('');\n };\n\n var rgbToCssColor_ = function(red, green, blue) {\n var rgbNumber = new Number((red \u003c\u003c 16) | (green \u003c\u003c 8) | blue);\n var hexString = rgbNumber.toString(16);\n var missingZeros = 6 - hexString.length;\n var resultBuilder = ['#'];\n for (var i = 0; i \u003c missingZeros; i++) {\n resultBuilder.push('0');\n }\n resultBuilder.push(hexString);\n return resultBuilder.join('');\n };\n\n // ...",
"id": "Color",
"properties": {
"alpha": {
"description": "The fraction of this color that should be applied to the pixel. That is,\nthe final pixel color is defined by the equation:\n\n pixel color = alpha * (this color) + (1.0 - alpha) * (background color)\n\nThis means that a value of 1.0 corresponds to a solid color, whereas\na value of 0.0 corresponds to a completely transparent color. This\nuses a wrapper message rather than a simple float scalar so that it is\npossible to distinguish between a default value and the value being unset.\nIf omitted, this color object is to be rendered as a solid color\n(as if the alpha value had been explicitly given with a value of 1.0).",
"format": "float",
"type": "number"
},
"blue": {
"description": "The amount of blue in the color as a value in the interval [0, 1].",
"format": "float",
"type": "number"
},
"green": {
"description": "The amount of green in the color as a value in the interval [0, 1].",
"format": "float",
"type": "number"
},
"red": {
"description": "The amount of red in the color as a value in the interval [0, 1].",
"format": "float",
"type": "number"
}
},
"type": "object"
},
"ColorInfo": {
"description": "Color information consists of RGB channels, score, and the fraction of\nthe image that the color occupies in the image.",
"id": "ColorInfo",
"properties": {
"color": {
"$ref": "Color",
"description": "RGB components of the color."
},
"pixelFraction": {
"description": "The fraction of pixels the color occupies in the image.\nValue in range [0, 1].",
"format": "float",
"type": "number"
},
"score": {
"description": "Image-specific score for this color. Value in range [0, 1].",
"format": "float",
"type": "number"
}
},
"type": "object"
},
"CropHint": {
"description": "Single crop hint that is used to generate a new crop when serving an image.",
"id": "CropHint",
"properties": {
"boundingPoly": {
"$ref": "BoundingPoly",
"description": "The bounding polygon for the crop region. The coordinates of the bounding\nbox are in the original image's scale, as returned in `ImageParams`."
},
"confidence": {
"description": "Confidence of this being a salient region. Range [0, 1].",
"format": "float",
"type": "number"
},
"importanceFraction": {
"description": "Fraction of importance of this salient region with respect to the original\nimage.",
"format": "float",
"type": "number"
}
},
"type": "object"
},
"CropHintsAnnotation": {
"description": "Set of crop hints that are used to generate new crops when serving images.",
"id": "CropHintsAnnotation",
"properties": {
"cropHints": {
"description": "Crop hint results.",
"items": {
"$ref": "CropHint"
},
"type": "array"
}
},
"type": "object"
},
"CropHintsParams": {
"description": "Parameters for crop hints annotation request.",
"id": "CropHintsParams",
"properties": {
"aspectRatios": {
"description": "Aspect ratios in floats, representing the ratio of the width to the height\nof the image. For example, if the desired aspect ratio is 4/3, the\ncorresponding float value should be 1.33333. If not specified, the\nbest possible crop is returned. The number of provided aspect ratios is\nlimited to a maximum of 16; any aspect ratios provided after the 16th are\nignored.",
"items": {
"format": "float",
"type": "number"
},
"type": "array"
}
},
"type": "object"
},
"DetectedBreak": {
"description": "Detected start or end of a structural component.",
"id": "DetectedBreak",
"properties": {
"isPrefix": {
"description": "True if break prepends the element.",
"type": "boolean"
},
"type": {
"description": "Detected break type.",
"enum": [
"UNKNOWN",
"SPACE",
"SURE_SPACE",
"EOL_SURE_SPACE",
"HYPHEN",
"LINE_BREAK"
],
"enumDescriptions": [
"Unknown break label type.",
"Regular space.",
"Sure space (very wide).",
"Line-wrapping break.",
"End-line hyphen that is not present in text; does not co-occur with\n`SPACE`, `LEADER_SPACE`, or `LINE_BREAK`.",
"Line break that ends a paragraph."
],
"type": "string"
}
},
"type": "object"
},
"DetectedLanguage": {
"description": "Detected language for a structural component.",
"id": "DetectedLanguage",
"properties": {
"confidence": {
"description": "Confidence of detected language. Range [0, 1].",
"format": "float",
"type": "number"
},
"languageCode": {
"description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more\ninformation, see\nhttp://www.unicode.org/reports/tr35/#Unicode_locale_identifier.",
"type": "string"
}
},
"type": "object"
},
"DominantColorsAnnotation": {
"description": "Set of dominant colors and their corresponding scores.",
"id": "DominantColorsAnnotation",
"properties": {
"colors": {
"description": "RGB color values with their score and pixel fraction.",
"items": {
"$ref": "ColorInfo"
},
"type": "array"
}
},
"type": "object"
},
"Empty": {
"description": "A generic empty message that you can re-use to avoid defining duplicated\nempty messages in your APIs. A typical example is to use it as the request\nor the response type of an API method. For instance:\n\n service Foo {\n rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty);\n }\n\nThe JSON representation for `Empty` is empty JSON object `{}`.",
"id": "Empty",
"properties": {},
"type": "object"
},
"EntityAnnotation": {
"description": "Set of detected entity features.",
"id": "EntityAnnotation",
"properties": {
"boundingPoly": {
"$ref": "BoundingPoly",
"description": "Image region to which this entity belongs. Not produced\nfor `LABEL_DETECTION` features."
},
"confidence": {
"description": "**Deprecated. Use `score` instead.**\nThe accuracy of the entity detection in an image.\nFor example, for an image in which the \"Eiffel Tower\" entity is detected,\nthis field represents the confidence that there is a tower in the query\nimage. Range [0, 1].",
"format": "float",
"type": "number"
},
"description": {
"description": "Entity textual description, expressed in its `locale` language.",
"type": "string"
},
"locale": {
"description": "The language code for the locale in which the entity textual\n`description` is expressed.",
"type": "string"
},
"locations": {
"description": "The location information for the detected entity. Multiple\n`LocationInfo` elements can be present because one location may\nindicate the location of the scene in the image, and another location\nmay indicate the location of the place where the image was taken.\nLocation information is usually present for landmarks.",
"items": {
"$ref": "LocationInfo"
},
"type": "array"
},
"mid": {
"description": "Opaque entity ID. Some IDs may be available in\n[Google Knowledge Graph Search\nAPI](https://developers.google.com/knowledge-graph/).",
"type": "string"
},
"properties": {
"description": "Some entities may have optional user-supplied `Property` (name/value)\nfields, such a score or string that qualifies the entity.",
"items": {
"$ref": "Property"
},
"type": "array"
},
"score": {
"description": "Overall score of the result. Range [0, 1].",
"format": "float",
"type": "number"
},
"topicality": {
"description": "The relevancy of the ICA (Image Content Annotation) label to the\nimage. For example, the relevancy of \"tower\" is likely higher to an image\ncontaining the detected \"Eiffel Tower\" than to an image containing a\ndetected distant towering building, even though the confidence that\nthere is a tower in each image may be the same. Range [0, 1].",
"format": "float",
"type": "number"
}
},
"type": "object"
},
"FaceAnnotation": {
"description": "A face annotation object contains the results of face detection.",
"id": "FaceAnnotation",
"properties": {
"angerLikelihood": {
"description": "Anger likelihood.",
"enum": [
"UNKNOWN",
"VERY_UNLIKELY",
"UNLIKELY",
"POSSIBLE",
"LIKELY",
"VERY_LIKELY"
],
"enumDescriptions": [
"Unknown likelihood.",
"It is very unlikely that the image belongs to the specified vertical.",
"It is unlikely that the image belongs to the specified vertical.",
"It is possible that the image belongs to the specified vertical.",
"It is likely that the image belongs to the specified vertical.",
"It is very likely that the image belongs to the specified vertical."
],
"type": "string"
},
"blurredLikelihood": {
"description": "Blurred likelihood.",
"enum": [
"UNKNOWN",
"VERY_UNLIKELY",
"UNLIKELY",
"POSSIBLE",
"LIKELY",
"VERY_LIKELY"
],
"enumDescriptions": [
"Unknown likelihood.",
"It is very unlikely that the image belongs to the specified vertical.",
"It is unlikely that the image belongs to the specified vertical.",
"It is possible that the image belongs to the specified vertical.",
"It is likely that the image belongs to the specified vertical.",
"It is very likely that the image belongs to the specified vertical."
],
"type": "string"
},
"boundingPoly": {
"$ref": "BoundingPoly",
"description": "The bounding polygon around the face. The coordinates of the bounding box\nare in the original image's scale, as returned in `ImageParams`.\nThe bounding box is computed to \"frame\" the face in accordance with human\nexpectations. It is based on the landmarker results.\nNote that one or more x and/or y coordinates may not be generated in the\n`BoundingPoly` (the polygon will be unbounded) if only a partial face\nappears in the image to be annotated."
},
"detectionConfidence": {
"description": "Detection confidence. Range [0, 1].",
"format": "float",
"type": "number"
},
"fdBoundingPoly": {
"$ref": "BoundingPoly",
"description": "The `fd_bounding_poly` bounding polygon is tighter than the\n`boundingPoly`, and encloses only the skin part of the face. Typically, it\nis used to eliminate the face from any image analysis that detects the\n\"amount of skin\" visible in an image. It is not based on the\nlandmarker results, only on the initial face detection, hence\nthe \u003ccode\u003efd\u003c/code\u003e (face detection) prefix."
},
"headwearLikelihood": {
"description": "Headwear likelihood.",
"enum": [
"UNKNOWN",
"VERY_UNLIKELY",
"UNLIKELY",
"POSSIBLE",
"LIKELY",
"VERY_LIKELY"
],
"enumDescriptions": [
"Unknown likelihood.",
"It is very unlikely that the image belongs to the specified vertical.",
"It is unlikely that the image belongs to the specified vertical.",
"It is possible that the image belongs to the specified vertical.",
"It is likely that the image belongs to the specified vertical.",
"It is very likely that the image belongs to the specified vertical."
],
"type": "string"
},
"joyLikelihood": {
"description": "Joy likelihood.",
"enum": [
"UNKNOWN",
"VERY_UNLIKELY",
"UNLIKELY",
"POSSIBLE",
"LIKELY",
"VERY_LIKELY"
],
"enumDescriptions": [
"Unknown likelihood.",
"It is very unlikely that the image belongs to the specified vertical.",
"It is unlikely that the image belongs to the specified vertical.",
"It is possible that the image belongs to the specified vertical.",
"It is likely that the image belongs to the specified vertical.",
"It is very likely that the image belongs to the specified vertical."
],
"type": "string"
},
"landmarkingConfidence": {
"description": "Face landmarking confidence. Range [0, 1].",
"format": "float",
"type": "number"
},
"landmarks": {
"description": "Detected face landmarks.",
"items": {
"$ref": "Landmark"
},
"type": "array"
},
"panAngle": {
"description": "Yaw angle, which indicates the leftward/rightward angle that the face is\npointing relative to the vertical plane perpendicular to the image. Range\n[-180,180].",
"format": "float",
"type": "number"
},
"rollAngle": {
"description": "Roll angle, which indicates the amount of clockwise/anti-clockwise rotation\nof the face relative to the image vertical about the axis perpendicular to\nthe face. Range [-180,180].",
"format": "float",
"type": "number"
},
"sorrowLikelihood": {
"description": "Sorrow likelihood.",
"enum": [
"UNKNOWN",
"VERY_UNLIKELY",
"UNLIKELY",
"POSSIBLE",
"LIKELY",
"VERY_LIKELY"
],
"enumDescriptions": [
"Unknown likelihood.",
"It is very unlikely that the image belongs to the specified vertical.",
"It is unlikely that the image belongs to the specified vertical.",
"It is possible that the image belongs to the specified vertical.",
"It is likely that the image belongs to the specified vertical.",
"It is very likely that the image belongs to the specified vertical."
],
"type": "string"
},
"surpriseLikelihood": {
"description": "Surprise likelihood.",
"enum": [
"UNKNOWN",
"VERY_UNLIKELY",
"UNLIKELY",
"POSSIBLE",
"LIKELY",
"VERY_LIKELY"
],
"enumDescriptions": [
"Unknown likelihood.",
"It is very unlikely that the image belongs to the specified vertical.",
"It is unlikely that the image belongs to the specified vertical.",
"It is possible that the image belongs to the specified vertical.",
"It is likely that the image belongs to the specified vertical.",
"It is very likely that the image belongs to the specified vertical."
],
"type": "string"
},
"tiltAngle": {
"description": "Pitch angle, which indicates the upwards/downwards angle that the face is\npointing relative to the image's horizontal plane. Range [-180,180].",
"format": "float",
"type": "number"
},
"underExposedLikelihood": {
"description": "Under-exposed likelihood.",
"enum": [
"UNKNOWN",
"VERY_UNLIKELY",
"UNLIKELY",
"POSSIBLE",
"LIKELY",
"VERY_LIKELY"
],
"enumDescriptions": [
"Unknown likelihood.",
"It is very unlikely that the image belongs to the specified vertical.",
"It is unlikely that the image belongs to the specified vertical.",
"It is possible that the image belongs to the specified vertical.",
"It is likely that the image belongs to the specified vertical.",
"It is very likely that the image belongs to the specified vertical."
],
"type": "string"
}
},
"type": "object"
},
"Feature": {
"description": "The type of Google Cloud Vision API detection to perform, and the maximum\nnumber of results to return for that type. Multiple `Feature` objects can\nbe specified in the `features` list.",
"id": "Feature",
"properties": {
"maxResults": {
"description": "Maximum number of results of this type. Does not apply to\n`TEXT_DETECTION`, `DOCUMENT_TEXT_DETECTION`, or `CROP_HINTS`.",
"format": "int32",
"type": "integer"
},
"model": {
"description": "Model to use for the feature.\nSupported values: \"builtin/stable\" (the default if unset) and\n\"builtin/latest\".",
"type": "string"
},
"type": {
"description": "The feature type.",
"enum": [
"TYPE_UNSPECIFIED",
"FACE_DETECTION",
"LANDMARK_DETECTION",
"LOGO_DETECTION",
"LABEL_DETECTION",
"TEXT_DETECTION",
"DOCUMENT_TEXT_DETECTION",
"SAFE_SEARCH_DETECTION",
"IMAGE_PROPERTIES",
"CROP_HINTS",
"WEB_DETECTION"
],
"enumDescriptions": [
"Unspecified feature type.",
"Run face detection.",
"Run landmark detection.",
"Run logo detection.",
"Run label detection.",
"Run text detection / optical character recognition (OCR). Text detection\nis optimized for areas of text within a larger image; if the image is\na document, use `DOCUMENT_TEXT_DETECTION` instead.",
"Run dense text document OCR. Takes precedence when both\n`DOCUMENT_TEXT_DETECTION` and `TEXT_DETECTION` are present.",
"Run Safe Search to detect potentially unsafe\nor undesirable content.",
"Compute a set of image properties, such as the\nimage's dominant colors.",
"Run crop hints.",
"Run web detection."
],
"type": "string"
}
},
"type": "object"
},
"GoogleCloudVisionV1p2beta1AsyncAnnotateFileResponse": {
"description": "The response for a single offline file annotation request.",
"id": "GoogleCloudVisionV1p2beta1AsyncAnnotateFileResponse",
"properties": {
"outputConfig": {
"$ref": "GoogleCloudVisionV1p2beta1OutputConfig",
"description": "The output location and metadata from AsyncAnnotateFileRequest."
}
},
"type": "object"
},
"GoogleCloudVisionV1p2beta1AsyncBatchAnnotateFilesResponse": {
"description": "Response to an async batch file annotation request.",
"id": "GoogleCloudVisionV1p2beta1AsyncBatchAnnotateFilesResponse",
"properties": {
"responses": {
"description": "The list of file annotation responses, one for each request in\nAsyncBatchAnnotateFilesRequest.",
"items": {
"$ref": "GoogleCloudVisionV1p2beta1AsyncAnnotateFileResponse"
},
"type": "array"
}
},
"type": "object"
},
"GoogleCloudVisionV1p2beta1GcsDestination": {
"description": "The Google Cloud Storage location where the output will be written to.",
"id": "GoogleCloudVisionV1p2beta1GcsDestination",
"properties": {
"uri": {
"description": "Google Cloud Storage URI where the results will be stored. Results will\nbe in JSON format and preceded by its corresponding input URI. This field\ncan either represent a single file, or a prefix for multiple outputs.\nPrefixes must end in a `/`.\n\nExamples:\n\n* File: gs://bucket-name/filename.json\n* Prefix: gs://bucket-name/prefix/here/\n* File: gs://bucket-name/prefix/here\n\nIf multiple outputs, each response is still AnnotateFileResponse, each of\nwhich contains some subset of the full list of AnnotateImageResponse.\nMultiple outputs can happen if, for example, the output JSON is too large\nand overflows into multiple sharded files.",
"type": "string"
}
},
"type": "object"
},
"GoogleCloudVisionV1p2beta1OperationMetadata": {
"description": "Contains metadata for the BatchAnnotateImages operation.",
"id": "GoogleCloudVisionV1p2beta1OperationMetadata",
"properties": {
"createTime": {
"description": "The time when the batch request was received.",
"format": "google-datetime",
"type": "string"
},
"state": {
"description": "Current state of the batch operation.",
"enum": [
"STATE_UNSPECIFIED",
"CREATED",
"RUNNING",
"DONE",
"CANCELLED"
],
"enumDescriptions": [
"Invalid.",
"Request is received.",
"Request is actively being processed.",
"The batch processing is done.",
"The batch processing was cancelled."
],
"type": "string"
},
"updateTime": {
"description": "The time when the operation result was last updated.",
"format": "google-datetime",
"type": "string"
}
},
"type": "object"
},
"GoogleCloudVisionV1p2beta1OutputConfig": {
"description": "The desired output location and metadata.",
"id": "GoogleCloudVisionV1p2beta1OutputConfig",
"properties": {
"batchSize": {
"description": "The max number of response protos to put into each output JSON file on GCS.\nThe valid range is [1, 100]. If not specified, the default value is 20.\n\nFor example, for one pdf file with 100 pages, 100 response protos will\nbe generated. If `batch_size` = 20, then 5 json files each\ncontaining 20 response protos will be written under the prefix\n`gcs_destination`.`uri`.\n\nCurrently, batch_size only applies to GcsDestination, with potential future\nsupport for other output configurations.",
"format": "int32",
"type": "integer"
},
"gcsDestination": {
"$ref": "GoogleCloudVisionV1p2beta1GcsDestination",
"description": "The Google Cloud Storage location to write the output(s) to."
}
},
"type": "object"
},
"Image": {
"description": "Client image to perform Google Cloud Vision API tasks over.",
"id": "Image",
"properties": {
"content": {
"description": "Image content, represented as a stream of bytes.\nNote: As with all `bytes` fields, protobuffers use a pure binary\nrepresentation, whereas JSON representations use base64.",
"format": "byte",
"type": "string"
},
"source": {
"$ref": "ImageSource",
"description": "Google Cloud Storage image location, or publicly-accessible image\nURL. If both `content` and `source` are provided for an image, `content`\ntakes precedence and is used to perform the image annotation request."
}
},
"type": "object"
},
"ImageContext": {
"description": "Image context and/or feature-specific parameters.",
"id": "ImageContext",
"properties": {
"cropHintsParams": {
"$ref": "CropHintsParams",
"description": "Parameters for crop hints annotation request."
},
"languageHints": {
"description": "List of languages to use for TEXT_DETECTION. In most cases, an empty value\nyields the best results since it enables automatic language detection. For\nlanguages based on the Latin alphabet, setting `language_hints` is not\nneeded. In rare cases, when the language of the text in the image is known,\nsetting a hint will help get better results (although it will be a\nsignificant hindrance if the hint is wrong). Text detection returns an\nerror if one or more of the specified languages is not one of the\n[supported languages](/vision/docs/languages).",
"items": {
"type": "string"
},
"type": "array"
},
"latLongRect": {
"$ref": "LatLongRect",
"description": "Not used."
},
"webDetectionParams": {
"$ref": "WebDetectionParams",
"description": "Parameters for web detection."
}
},
"type": "object"
},
"ImageProperties": {
"description": "Stores image properties, such as dominant colors.",
"id": "ImageProperties",
"properties": {
"dominantColors": {
"$ref": "DominantColorsAnnotation",
"description": "If present, dominant colors completed successfully."
}
},
"type": "object"
},
"ImageSource": {
"description": "External image source (Google Cloud Storage or web URL image location).",
"id": "ImageSource",
"properties": {
"gcsImageUri": {
"description": "**Use `image_uri` instead.**\n\nThe Google Cloud Storage URI of the form\n`gs://bucket_name/object_name`. Object versioning is not supported. See\n[Google Cloud Storage Request\nURIs](https://cloud.google.com/storage/docs/reference-uris) for more info.",
"type": "string"
},
"imageUri": {
"description": "The URI of the source image. Can be either:\n\n1. A Google Cloud Storage URI of the form\n `gs://bucket_name/object_name`. Object versioning is not supported. See\n [Google Cloud Storage Request\n URIs](https://cloud.google.com/storage/docs/reference-uris) for more\n info.\n\n2. A publicly-accessible image HTTP/HTTPS URL. When fetching images from\n HTTP/HTTPS URLs, Google cannot guarantee that the request will be\n completed. Your request may fail if the specified host denies the\n request (e.g. due to request throttling or DOS prevention), or if Google\n throttles requests to the site for abuse prevention. You should not\n depend on externally-hosted images for production applications.\n\nWhen both `gcs_image_uri` and `image_uri` are specified, `image_uri` takes\nprecedence.",
"type": "string"
}
},
"type": "object"
},
"Landmark": {
"description": "A face-specific landmark (for example, a face feature).",
"id": "Landmark",
"properties": {
"position": {
"$ref": "Position",
"description": "Face landmark position."
},
"type": {
"description": "Face landmark type.",
"enum": [
"UNKNOWN_LANDMARK",
"LEFT_EYE",
"RIGHT_EYE",
"LEFT_OF_LEFT_EYEBROW",
"RIGHT_OF_LEFT_EYEBROW",
"LEFT_OF_RIGHT_EYEBROW",
"RIGHT_OF_RIGHT_EYEBROW",
"MIDPOINT_BETWEEN_EYES",
"NOSE_TIP",
"UPPER_LIP",
"LOWER_LIP",
"MOUTH_LEFT",
"MOUTH_RIGHT",
"MOUTH_CENTER",
"NOSE_BOTTOM_RIGHT",
"NOSE_BOTTOM_LEFT",
"NOSE_BOTTOM_CENTER",
"LEFT_EYE_TOP_BOUNDARY",
"LEFT_EYE_RIGHT_CORNER",
"LEFT_EYE_BOTTOM_BOUNDARY",
"LEFT_EYE_LEFT_CORNER",
"RIGHT_EYE_TOP_BOUNDARY",
"RIGHT_EYE_RIGHT_CORNER",
"RIGHT_EYE_BOTTOM_BOUNDARY",
"RIGHT_EYE_LEFT_CORNER",
"LEFT_EYEBROW_UPPER_MIDPOINT",
"RIGHT_EYEBROW_UPPER_MIDPOINT",
"LEFT_EAR_TRAGION",
"RIGHT_EAR_TRAGION",
"LEFT_EYE_PUPIL",
"RIGHT_EYE_PUPIL",
"FOREHEAD_GLABELLA",
"CHIN_GNATHION",
"CHIN_LEFT_GONION",
"CHIN_RIGHT_GONION"
],
"enumDescriptions": [
"Unknown face landmark detected. Should not be filled.",
"Left eye.",
"Right eye.",
"Left of left eyebrow.",
"Right of left eyebrow.",
"Left of right eyebrow.",
"Right of right eyebrow.",
"Midpoint between eyes.",
"Nose tip.",
"Upper lip.",
"Lower lip.",
"Mouth left.",
"Mouth right.",
"Mouth center.",
"Nose, bottom right.",
"Nose, bottom left.",
"Nose, bottom center.",
"Left eye, top boundary.",
"Left eye, right corner.",
"Left eye, bottom boundary.",
"Left eye, left corner.",
"Right eye, top boundary.",
"Right eye, right corner.",
"Right eye, bottom boundary.",
"Right eye, left corner.",
"Left eyebrow, upper midpoint.",
"Right eyebrow, upper midpoint.",
"Left ear tragion.",
"Right ear tragion.",
"Left eye pupil.",
"Right eye pupil.",
"Forehead glabella.",
"Chin gnathion.",
"Chin left gonion.",
"Chin right gonion."
],
"type": "string"
}
},
"type": "object"
},
"LatLng": {
"description": "An object representing a latitude/longitude pair. This is expressed as a pair\nof doubles representing degrees latitude and degrees longitude. Unless\nspecified otherwise, this must conform to the\n\u003ca href=\"http://www.unoosa.org/pdf/icg/2012/template/WGS_84.pdf\"\u003eWGS84\nstandard\u003c/a\u003e. Values must be within normalized ranges.",
"id": "LatLng",
"properties": {
"latitude": {
"description": "The latitude in degrees. It must be in the range [-90.0, +90.0].",
"format": "double",
"type": "number"
},
"longitude": {
"description": "The longitude in degrees. It must be in the range [-180.0, +180.0].",
"format": "double",
"type": "number"
}
},
"type": "object"
},
"LatLongRect": {
"description": "Rectangle determined by min and max `LatLng` pairs.",
"id": "LatLongRect",
"properties": {
"maxLatLng": {
"$ref": "LatLng",
"description": "Max lat/long pair."
},
"minLatLng": {
"$ref": "LatLng",
"description": "Min lat/long pair."
}
},
"type": "object"
},
"ListOperationsResponse": {
"description": "The response message for Operations.ListOperations.",
"id": "ListOperationsResponse",
"properties": {
"nextPageToken": {
"description": "The standard List next-page token.",
"type": "string"
},
"operations": {
"description": "A list of operations that matches the specified filter in the request.",
"items": {
"$ref": "Operation"
},
"type": "array"
}
},
"type": "object"
},
"LocationInfo": {
"description": "Detected entity location information.",
"id": "LocationInfo",
"properties": {
"latLng": {
"$ref": "LatLng",
"description": "lat/long location coordinates."
}
},
"type": "object"
},
"Operation": {
"description": "This resource represents a long-running operation that is the result of a\nnetwork API call.",
"id": "Operation",
"properties": {
"done": {
"description": "If the value is `false`, it means the operation is still in progress.\nIf `true`, the operation is completed, and either `error` or `response` is\navailable.",
"type": "boolean"
},
"error": {
"$ref": "Status",
"description": "The error result of the operation in case of failure or cancellation."
},
"metadata": {
"additionalProperties": {
"description": "Properties of the object. Contains field @type with type URL.",
"type": "any"
},
"description": "Service-specific metadata associated with the operation. It typically\ncontains progress information and common metadata such as create time.\nSome services might not provide such metadata. Any method that returns a\nlong-running operation should document the metadata type, if any.",
"type": "object"
},
"name": {
"description": "The server-assigned name, which is only unique within the same service that\noriginally returns it. If you use the default HTTP mapping, the\n`name` should have the format of `operations/some/unique/name`.",
"type": "string"
},
"response": {
"additionalProperties": {
"description": "Properties of the object. Contains field @type with type URL.",
"type": "any"
},
"description": "The normal response of the operation in case of success. If the original\nmethod returns no data on success, such as `Delete`, the response is\n`google.protobuf.Empty`. If the original method is standard\n`Get`/`Create`/`Update`, the response should be the resource. For other\nmethods, the response should have the type `XxxResponse`, where `Xxx`\nis the original method name. For example, if the original method name\nis `TakeSnapshot()`, the inferred response type is\n`TakeSnapshotResponse`.",
"type": "object"
}
},
"type": "object"
},
"Page": {
"description": "Detected page from OCR.",
"id": "Page",
"properties": {
"blocks": {
"description": "List of blocks of text, images etc on this page.",
"items": {
"$ref": "Block"
},
"type": "array"
},
"confidence": {
"description": "Confidence of the OCR results on the page. Range [0, 1].",
"format": "float",
"type": "number"
},
"height": {
"description": "Page height. For PDFs the unit is points. For images (including\nTIFFs) the unit is pixels.",
"format": "int32",
"type": "integer"
},
"property": {
"$ref": "TextProperty",
"description": "Additional information detected on the page."
},
"width": {
"description": "Page width. For PDFs the unit is points. For images (including\nTIFFs) the unit is pixels.",
"format": "int32",
"type": "integer"
}
},
"type": "object"
},
"Paragraph": {
"description": "Structural unit of text representing a number of words in certain order.",
"id": "Paragraph",
"properties": {
"boundingBox": {
"$ref": "BoundingPoly",
"description": "The bounding box for the paragraph.\nThe vertices are in the order of top-left, top-right, bottom-right,\nbottom-left. When a rotation of the bounding box is detected the rotation\nis represented as around the top-left corner as defined when the text is\nread in the 'natural' orientation.\nFor example:\n * when the text is horizontal it might look like:\n 0----1\n | |\n 3----2\n * when it's rotated 180 degrees around the top-left corner it becomes:\n 2----3\n | |\n 1----0\n and the vertice order will still be (0, 1, 2, 3)."
},
"confidence": {
"description": "Confidence of the OCR results for the paragraph. Range [0, 1].",
"format": "float",
"type": "number"
},
"property": {
"$ref": "TextProperty",
"description": "Additional information detected for the paragraph."
},
"words": {
"description": "List of words in this paragraph.",
"items": {
"$ref": "Word"
},
"type": "array"
}
},
"type": "object"
},
"Position": {
"description": "A 3D position in the image, used primarily for Face detection landmarks.\nA valid Position must have both x and y coordinates.\nThe position coordinates are in the same scale as the original image.",
"id": "Position",
"properties": {
"x": {
"description": "X coordinate.",
"format": "float",
"type": "number"
},
"y": {
"description": "Y coordinate.",
"format": "float",
"type": "number"
},
"z": {
"description": "Z coordinate (or depth).",
"format": "float",
"type": "number"
}
},
"type": "object"
},
"Property": {
"description": "A `Property` consists of a user-supplied name/value pair.",
"id": "Property",
"properties": {
"name": {
"description": "Name of the property.",
"type": "string"
},
"uint64Value": {
"description": "Value of numeric properties.",
"format": "uint64",
"type": "string"
},
"value": {
"description": "Value of the property.",
"type": "string"
}
},
"type": "object"
},
"SafeSearchAnnotation": {
"description": "Set of features pertaining to the image, computed by computer vision\nmethods over safe-search verticals (for example, adult, spoof, medical,\nviolence).",
"id": "SafeSearchAnnotation",
"properties": {
"adult": {
"description": "Represents the adult content likelihood for the image. Adult content may\ncontain elements such as nudity, pornographic images or cartoons, or\nsexual activities.",
"enum": [
"UNKNOWN",
"VERY_UNLIKELY",
"UNLIKELY",
"POSSIBLE",
"LIKELY",
"VERY_LIKELY"
],
"enumDescriptions": [
"Unknown likelihood.",
"It is very unlikely that the image belongs to the specified vertical.",
"It is unlikely that the image belongs to the specified vertical.",
"It is possible that the image belongs to the specified vertical.",
"It is likely that the image belongs to the specified vertical.",
"It is very likely that the image belongs to the specified vertical."
],
"type": "string"
},
"medical": {
"description": "Likelihood that this is a medical image.",
"enum": [
"UNKNOWN",
"VERY_UNLIKELY",
"UNLIKELY",
"POSSIBLE",
"LIKELY",
"VERY_LIKELY"
],
"enumDescriptions": [
"Unknown likelihood.",
"It is very unlikely that the image belongs to the specified vertical.",
"It is unlikely that the image belongs to the specified vertical.",
"It is possible that the image belongs to the specified vertical.",
"It is likely that the image belongs to the specified vertical.",
"It is very likely that the image belongs to the specified vertical."
],
"type": "string"
},
"racy": {
"description": "Likelihood that the request image contains racy content. Racy content may\ninclude (but is not limited to) skimpy or sheer clothing, strategically\ncovered nudity, lewd or provocative poses, or close-ups of sensitive\nbody areas.",
"enum": [
"UNKNOWN",
"VERY_UNLIKELY",
"UNLIKELY",
"POSSIBLE",
"LIKELY",
"VERY_LIKELY"
],
"enumDescriptions": [
"Unknown likelihood.",
"It is very unlikely that the image belongs to the specified vertical.",
"It is unlikely that the image belongs to the specified vertical.",
"It is possible that the image belongs to the specified vertical.",
"It is likely that the image belongs to the specified vertical.",
"It is very likely that the image belongs to the specified vertical."
],
"type": "string"
},
"spoof": {
"description": "Spoof likelihood. The likelihood that an modification\nwas made to the image's canonical version to make it appear\nfunny or offensive.",
"enum": [
"UNKNOWN",
"VERY_UNLIKELY",
"UNLIKELY",
"POSSIBLE",
"LIKELY",
"VERY_LIKELY"
],
"enumDescriptions": [
"Unknown likelihood.",
"It is very unlikely that the image belongs to the specified vertical.",
"It is unlikely that the image belongs to the specified vertical.",
"It is possible that the image belongs to the specified vertical.",
"It is likely that the image belongs to the specified vertical.",
"It is very likely that the image belongs to the specified vertical."
],
"type": "string"
},
"violence": {
"description": "Likelihood that this image contains violent content.",
"enum": [
"UNKNOWN",
"VERY_UNLIKELY",
"UNLIKELY",
"POSSIBLE",
"LIKELY",
"VERY_LIKELY"
],
"enumDescriptions": [
"Unknown likelihood.",
"It is very unlikely that the image belongs to the specified vertical.",
"It is unlikely that the image belongs to the specified vertical.",
"It is possible that the image belongs to the specified vertical.",
"It is likely that the image belongs to the specified vertical.",
"It is very likely that the image belongs to the specified vertical."
],
"type": "string"
}
},
"type": "object"
},
"Status": {
"description": "The `Status` type defines a logical error model that is suitable for different\nprogramming environments, including REST APIs and RPC APIs. It is used by\n[gRPC](https://github.com/grpc). The error model is designed to be:\n\n- Simple to use and understand for most users\n- Flexible enough to meet unexpected needs\n\n# Overview\n\nThe `Status` message contains three pieces of data: error code, error message,\nand error details. The error code should be an enum value of\ngoogle.rpc.Code, but it may accept additional error codes if needed. The\nerror message should be a developer-facing English message that helps\ndevelopers *understand* and *resolve* the error. If a localized user-facing\nerror message is needed, put the localized message in the error details or\nlocalize it in the client. The optional error details may contain arbitrary\ninformation about the error. There is a predefined set of error detail types\nin the package `google.rpc` that can be used for common error conditions.\n\n# Language mapping\n\nThe `Status` message is the logical representation of the error model, but it\nis not necessarily the actual wire format. When the `Status` message is\nexposed in different client libraries and different wire protocols, it can be\nmapped differently. For example, it will likely be mapped to some exceptions\nin Java, but more likely mapped to some error codes in C.\n\n# Other uses\n\nThe error model and the `Status` message can be used in a variety of\nenvironments, either with or without APIs, to provide a\nconsistent developer experience across different environments.\n\nExample uses of this error model include:\n\n- Partial errors. If a service needs to return partial errors to the client,\n it may embed the `Status` in the normal response to indicate the partial\n errors.\n\n- Workflow errors. A typical workflow has multiple steps. Each step may\n have a `Status` message for error reporting.\n\n- Batch operations. If a client uses batch request and batch response, the\n `Status` message should be used directly inside batch response, one for\n each error sub-response.\n\n- Asynchronous operations. If an API call embeds asynchronous operation\n results in its response, the status of those operations should be\n represented directly using the `Status` message.\n\n- Logging. If some API errors are stored in logs, the message `Status` could\n be used directly after any stripping needed for security/privacy reasons.",
"id": "Status",
"properties": {
"code": {
"description": "The status code, which should be an enum value of google.rpc.Code.",
"format": "int32",
"type": "integer"
},
"details": {
"description": "A list of messages that carry the error details. There is a common set of\nmessage types for APIs to use.",
"items": {
"additionalProperties": {
"description": "Properties of the object. Contains field @type with type URL.",
"type": "any"
},
"type": "object"
},
"type": "array"
},
"message": {
"description": "A developer-facing error message, which should be in English. Any\nuser-facing error message should be localized and sent in the\ngoogle.rpc.Status.details field, or localized by the client.",
"type": "string"
}
},
"type": "object"
},
"Symbol": {
"description": "A single symbol representation.",
"id": "Symbol",
"properties": {
"boundingBox": {
"$ref": "BoundingPoly",
"description": "The bounding box for the symbol.\nThe vertices are in the order of top-left, top-right, bottom-right,\nbottom-left. When a rotation of the bounding box is detected the rotation\nis represented as around the top-left corner as defined when the text is\nread in the 'natural' orientation.\nFor example:\n * when the text is horizontal it might look like:\n 0----1\n | |\n 3----2\n * when it's rotated 180 degrees around the top-left corner it becomes:\n 2----3\n | |\n 1----0\n and the vertice order will still be (0, 1, 2, 3)."
},
"confidence": {
"description": "Confidence of the OCR results for the symbol. Range [0, 1].",
"format": "float",
"type": "number"
},
"property": {
"$ref": "TextProperty",
"description": "Additional information detected for the symbol."
},
"text": {
"description": "The actual UTF-8 representation of the symbol.",
"type": "string"
}
},
"type": "object"
},
"TextAnnotation": {
"description": "TextAnnotation contains a structured representation of OCR extracted text.\nThe hierarchy of an OCR extracted text structure is like this:\n TextAnnotation -\u003e Page -\u003e Block -\u003e Paragraph -\u003e Word -\u003e Symbol\nEach structural component, starting from Page, may further have their own\nproperties. Properties describe detected languages, breaks etc.. Please refer\nto the TextAnnotation.TextProperty message definition below for more\ndetail.",
"id": "TextAnnotation",
"properties": {
"pages": {
"description": "List of pages detected by OCR.",
"items": {
"$ref": "Page"
},
"type": "array"
},
"text": {
"description": "UTF-8 text detected on the pages.",
"type": "string"
}
},
"type": "object"
},
"TextProperty": {
"description": "Additional information detected on the structural component.",
"id": "TextProperty",
"properties": {
"detectedBreak": {
"$ref": "DetectedBreak",
"description": "Detected start or end of a text segment."
},
"detectedLanguages": {
"description": "A list of detected languages together with confidence.",
"items": {
"$ref": "DetectedLanguage"
},
"type": "array"
}
},
"type": "object"
},
"Vertex": {
"description": "A vertex represents a 2D point in the image.\nNOTE: the vertex coordinates are in the same scale as the original image.",
"id": "Vertex",
"properties": {
"x": {
"description": "X coordinate.",
"format": "int32",
"type": "integer"
},
"y": {
"description": "Y coordinate.",
"format": "int32",
"type": "integer"
}
},
"type": "object"
},
"WebDetection": {
"description": "Relevant information for the image from the Internet.",
"id": "WebDetection",
"properties": {
"bestGuessLabels": {
"description": "Best guess text labels for the request image.",
"items": {
"$ref": "WebLabel"
},
"type": "array"
},
"fullMatchingImages": {
"description": "Fully matching images from the Internet.\nCan include resized copies of the query image.",
"items": {
"$ref": "WebImage"
},
"type": "array"
},
"pagesWithMatchingImages": {
"description": "Web pages containing the matching images from the Internet.",
"items": {
"$ref": "WebPage"
},
"type": "array"
},
"partialMatchingImages": {
"description": "Partial matching images from the Internet.\nThose images are similar enough to share some key-point features. For\nexample an original image will likely have partial matching for its crops.",
"items": {
"$ref": "WebImage"
},
"type": "array"
},
"visuallySimilarImages": {
"description": "The visually similar image results.",
"items": {
"$ref": "WebImage"
},
"type": "array"
},
"webEntities": {
"description": "Deduced entities from similar images on the Internet.",
"items": {
"$ref": "WebEntity"
},
"type": "array"
}
},
"type": "object"
},
"WebDetectionParams": {
"description": "Parameters for web detection request.",
"id": "WebDetectionParams",
"properties": {
"includeGeoResults": {
"description": "Whether to include results derived from the geo information in the image.",
"type": "boolean"
}
},
"type": "object"
},
"WebEntity": {
"description": "Entity deduced from similar images on the Internet.",
"id": "WebEntity",
"properties": {
"description": {
"description": "Canonical description of the entity, in English.",
"type": "string"
},
"entityId": {
"description": "Opaque entity ID.",
"type": "string"
},
"score": {
"description": "Overall relevancy score for the entity.\nNot normalized and not comparable across different image queries.",
"format": "float",
"type": "number"
}
},
"type": "object"
},
"WebImage": {
"description": "Metadata for online images.",
"id": "WebImage",
"properties": {
"score": {
"description": "(Deprecated) Overall relevancy score for the image.",
"format": "float",
"type": "number"
},
"url": {
"description": "The result image URL.",
"type": "string"
}
},
"type": "object"
},
"WebLabel": {
"description": "Label to provide extra metadata for the web detection.",
"id": "WebLabel",
"properties": {
"label": {
"description": "Label for extra metadata.",
"type": "string"
},
"languageCode": {
"description": "The BCP-47 language code for `label`, such as \"en-US\" or \"sr-Latn\".\nFor more information, see\nhttp://www.unicode.org/reports/tr35/#Unicode_locale_identifier.",
"type": "string"
}
},
"type": "object"
},
"WebPage": {
"description": "Metadata for web pages.",
"id": "WebPage",
"properties": {
"fullMatchingImages": {
"description": "Fully matching images on the page.\nCan include resized copies of the query image.",
"items": {
"$ref": "WebImage"
},
"type": "array"
},
"pageTitle": {
"description": "Title for the web page, may contain HTML markups.",
"type": "string"
},
"partialMatchingImages": {
"description": "Partial matching images on the page.\nThose images are similar enough to share some key-point features. For\nexample an original image will likely have partial matching for its\ncrops.",
"items": {
"$ref": "WebImage"
},
"type": "array"
},
"score": {
"description": "(Deprecated) Overall relevancy score for the web page.",
"format": "float",
"type": "number"
},
"url": {
"description": "The result web page URL.",
"type": "string"
}
},
"type": "object"
},
"Word": {
"description": "A word representation.",
"id": "Word",
"properties": {
"boundingBox": {
"$ref": "BoundingPoly",
"description": "The bounding box for the word.\nThe vertices are in the order of top-left, top-right, bottom-right,\nbottom-left. When a rotation of the bounding box is detected the rotation\nis represented as around the top-left corner as defined when the text is\nread in the 'natural' orientation.\nFor example:\n * when the text is horizontal it might look like:\n 0----1\n | |\n 3----2\n * when it's rotated 180 degrees around the top-left corner it becomes:\n 2----3\n | |\n 1----0\n and the vertice order will still be (0, 1, 2, 3)."
},
"confidence": {
"description": "Confidence of the OCR results for the word. Range [0, 1].",
"format": "float",
"type": "number"
},
"property": {
"$ref": "TextProperty",
"description": "Additional information detected for the word."
},
"symbols": {
"description": "List of symbols in the word.\nThe order of the symbols follows the natural reading order.",
"items": {
"$ref": "Symbol"
},
"type": "array"
}
},
"type": "object"
}
},
"servicePath": "",
"title": "Cloud Vision API",
"version": "v1",
"version_module": true
}
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