| Index: discovery/googleapis/vision__v1.json
|
| diff --git a/discovery/googleapis/vision__v1.json b/discovery/googleapis/vision__v1.json
|
| index b342a094b882bbd144417f81f2465f1ab93579d1..ba2165af079ecabf4c7373c383b3592f6dd8d0e4 100644
|
| --- a/discovery/googleapis/vision__v1.json
|
| +++ b/discovery/googleapis/vision__v1.json
|
| @@ -2,6 +2,9 @@
|
| "auth": {
|
| "oauth2": {
|
| "scopes": {
|
| + "https://www.googleapis.com/auth/cloud-vision": {
|
| + "description": "Apply machine learning models to understand and label images"
|
| + },
|
| "https://www.googleapis.com/auth/cloud-platform": {
|
| "description": "View and manage your data across Google Cloud Platform services"
|
| }
|
| @@ -25,6 +28,27 @@
|
| "ownerDomain": "google.com",
|
| "ownerName": "Google",
|
| "parameters": {
|
| + "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"
|
| + },
|
| + "pp": {
|
| + "default": "true",
|
| + "description": "Pretty-print response.",
|
| + "location": "query",
|
| + "type": "boolean"
|
| + },
|
| + "oauth_token": {
|
| + "description": "OAuth 2.0 token for the current user.",
|
| + "location": "query",
|
| + "type": "string"
|
| + },
|
| + "bearer_token": {
|
| + "description": "OAuth bearer token.",
|
| + "location": "query",
|
| + "type": "string"
|
| + },
|
| "upload_protocol": {
|
| "description": "Upload protocol for media (e.g. \"raw\", \"multipart\").",
|
| "location": "query",
|
| @@ -46,6 +70,11 @@
|
| "location": "query",
|
| "type": "string"
|
| },
|
| + "callback": {
|
| + "description": "JSONP",
|
| + "location": "query",
|
| + "type": "string"
|
| + },
|
| "$.xgafv": {
|
| "description": "V1 error format.",
|
| "enum": [
|
| @@ -59,11 +88,6 @@
|
| "location": "query",
|
| "type": "string"
|
| },
|
| - "callback": {
|
| - "description": "JSONP",
|
| - "location": "query",
|
| - "type": "string"
|
| - },
|
| "alt": {
|
| "default": "json",
|
| "description": "Data format for response.",
|
| @@ -80,34 +104,13 @@
|
| "location": "query",
|
| "type": "string"
|
| },
|
| - "access_token": {
|
| - "description": "OAuth access token.",
|
| - "location": "query",
|
| - "type": "string"
|
| - },
|
| "key": {
|
| "description": "API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.",
|
| "location": "query",
|
| "type": "string"
|
| },
|
| - "quotaUser": {
|
| - "description": "Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.",
|
| - "location": "query",
|
| - "type": "string"
|
| - },
|
| - "pp": {
|
| - "default": "true",
|
| - "description": "Pretty-print response.",
|
| - "location": "query",
|
| - "type": "boolean"
|
| - },
|
| - "oauth_token": {
|
| - "description": "OAuth 2.0 token for the current user.",
|
| - "location": "query",
|
| - "type": "string"
|
| - },
|
| - "bearer_token": {
|
| - "description": "OAuth bearer token.",
|
| + "access_token": {
|
| + "description": "OAuth access token.",
|
| "location": "query",
|
| "type": "string"
|
| }
|
| @@ -130,797 +133,684 @@
|
| "$ref": "BatchAnnotateImagesResponse"
|
| },
|
| "scopes": [
|
| - "https://www.googleapis.com/auth/cloud-platform"
|
| + "https://www.googleapis.com/auth/cloud-platform",
|
| + "https://www.googleapis.com/auth/cloud-vision"
|
| ]
|
| }
|
| }
|
| }
|
| },
|
| - "revision": "20170606",
|
| + "revision": "20170626",
|
| "rootUrl": "https://vision.googleapis.com/",
|
| "schemas": {
|
| - "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",
|
| + "CropHint": {
|
| + "description": "Single crop hint that is used to generate a new crop when serving an image.",
|
| + "id": "CropHint",
|
| "properties": {
|
| - "violence": {
|
| - "description": "Violence 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"
|
| + "importanceFraction": {
|
| + "description": "Fraction of importance of this salient region with respect to the original\nimage.",
|
| + "format": "float",
|
| + "type": "number"
|
| },
|
| - "adult": {
|
| - "description": "Represents the adult content likelihood for the 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"
|
| + "confidence": {
|
| + "description": "Confidence of this being a salient region. Range [0, 1].",
|
| + "format": "float",
|
| + "type": "number"
|
| },
|
| - "spoof": {
|
| - "description": "Spoof likelihood. The likelihood that an modification\nwas made to the image's canonical version to make it appear\nfunny or offensive.",
|
| + "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`."
|
| + }
|
| + },
|
| + "type": "object"
|
| + },
|
| + "Landmark": {
|
| + "description": "A face-specific landmark (for example, a face feature).\nLandmark positions may fall outside the bounds of the image\nif the face is near one or more edges of the image.\nTherefore it is NOT guaranteed that `0 <= x < width` or\n`0 <= y < height`.",
|
| + "id": "Landmark",
|
| + "properties": {
|
| + "type": {
|
| + "description": "Face landmark type.",
|
| "enum": [
|
| - "UNKNOWN",
|
| - "VERY_UNLIKELY",
|
| - "UNLIKELY",
|
| - "POSSIBLE",
|
| - "LIKELY",
|
| - "VERY_LIKELY"
|
| + "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 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."
|
| + "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"
|
| },
|
| - "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"
|
| + "position": {
|
| + "$ref": "Position",
|
| + "description": "Face landmark position."
|
| }
|
| },
|
| "type": "object"
|
| },
|
| - "DominantColorsAnnotation": {
|
| - "description": "Set of dominant colors and their corresponding scores.",
|
| - "id": "DominantColorsAnnotation",
|
| + "WebImage": {
|
| + "description": "Metadata for online images.",
|
| + "id": "WebImage",
|
| "properties": {
|
| - "colors": {
|
| - "description": "RGB color values with their score and pixel fraction.",
|
| - "items": {
|
| - "$ref": "ColorInfo"
|
| - },
|
| - "type": "array"
|
| + "score": {
|
| + "description": "Overall relevancy score for the image.\nNot normalized and not comparable across different image queries.",
|
| + "format": "float",
|
| + "type": "number"
|
| + },
|
| + "url": {
|
| + "description": "The result image URL.",
|
| + "type": "string"
|
| }
|
| },
|
| "type": "object"
|
| },
|
| - "TextAnnotation": {
|
| - "description": "TextAnnotation contains a structured representation of OCR extracted text.\nThe hierarchy of an OCR extracted text structure is like this:\n TextAnnotation -> Page -> Block -> Paragraph -> Word -> Symbol\nEach structural component, starting from Page, may further have their own\nproperties. Properties describe detected languages, breaks etc.. Please\nrefer to the google.cloud.vision.v1.TextAnnotation.TextProperty message\ndefinition below for more detail.",
|
| - "id": "TextAnnotation",
|
| + "Word": {
|
| + "description": "A word representation.",
|
| + "id": "Word",
|
| "properties": {
|
| - "pages": {
|
| - "description": "List of pages detected by OCR.",
|
| + "property": {
|
| + "$ref": "TextProperty",
|
| + "description": "Additional information detected for the word."
|
| + },
|
| + "boundingBox": {
|
| + "$ref": "BoundingPoly",
|
| + "description": "The bounding box for the word.\nThe vertices are in the order of top-left, top-right, bottom-right,\nbottom-left. When a rotation of the bounding box is detected the rotation\nis represented as around the top-left corner as defined when the text is\nread in the 'natural' orientation.\nFor example:\n * when the text is horizontal it might look like:\n 0----1\n | |\n 3----2\n * when it's rotated 180 degrees around the top-left corner it becomes:\n 2----3\n | |\n 1----0\n and the vertice order will still be (0, 1, 2, 3)."
|
| + },
|
| + "symbols": {
|
| + "description": "List of symbols in the word.\nThe order of the symbols follows the natural reading order.",
|
| "items": {
|
| - "$ref": "Page"
|
| + "$ref": "Symbol"
|
| },
|
| "type": "array"
|
| - },
|
| - "text": {
|
| - "description": "UTF-8 text detected on the pages.",
|
| - "type": "string"
|
| }
|
| },
|
| "type": "object"
|
| },
|
| - "DetectedLanguage": {
|
| - "description": "Detected language for a structural component.",
|
| - "id": "DetectedLanguage",
|
| + "Paragraph": {
|
| + "description": "Structural unit of text representing a number of words in certain order.",
|
| + "id": "Paragraph",
|
| "properties": {
|
| - "confidence": {
|
| - "description": "Confidence of detected language. Range [0, 1].",
|
| - "format": "float",
|
| - "type": "number"
|
| + "property": {
|
| + "$ref": "TextProperty",
|
| + "description": "Additional information detected for the paragraph."
|
| },
|
| - "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"
|
| - },
|
| - "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"
|
| + "boundingBox": {
|
| + "$ref": "BoundingPoly",
|
| + "description": "The bounding box for the paragraph.\nThe vertices are in the order of top-left, top-right, bottom-right,\nbottom-left. When a rotation of the bounding box is detected the rotation\nis represented as around the top-left corner as defined when the text is\nread in the 'natural' orientation.\nFor example:\n * when the text is horizontal it might look like:\n 0----1\n | |\n 3----2\n * when it's rotated 180 degrees around the top-left corner it becomes:\n 2----3\n | |\n 1----0\n and the vertice order will still be (0, 1, 2, 3)."
|
| },
|
| - "y": {
|
| - "description": "Y coordinate.",
|
| - "format": "int32",
|
| - "type": "integer"
|
| - }
|
| - },
|
| - "type": "object"
|
| - },
|
| - "TextProperty": {
|
| - "description": "Additional information detected on the structural component.",
|
| - "id": "TextProperty",
|
| - "properties": {
|
| - "detectedLanguages": {
|
| - "description": "A list of detected languages together with confidence.",
|
| + "words": {
|
| + "description": "List of words in this paragraph.",
|
| "items": {
|
| - "$ref": "DetectedLanguage"
|
| + "$ref": "Word"
|
| },
|
| "type": "array"
|
| - },
|
| - "detectedBreak": {
|
| - "$ref": "DetectedBreak",
|
| - "description": "Detected start or end of a text segment."
|
| }
|
| },
|
| "type": "object"
|
| },
|
| - "WebEntity": {
|
| - "description": "Entity deduced from similar images on the Internet.",
|
| - "id": "WebEntity",
|
| + "Image": {
|
| + "description": "Client image to perform Google Cloud Vision API tasks over.",
|
| + "id": "Image",
|
| "properties": {
|
| - "score": {
|
| - "description": "Overall relevancy score for the entity.\nNot normalized and not comparable across different image queries.",
|
| - "format": "float",
|
| - "type": "number"
|
| - },
|
| - "entityId": {
|
| - "description": "Opaque entity ID.",
|
| - "type": "string"
|
| + "source": {
|
| + "$ref": "ImageSource",
|
| + "description": "Google Cloud Storage image location. If both `content` and `source`\nare provided for an image, `content` takes precedence and is\nused to perform the image annotation request."
|
| },
|
| - "description": {
|
| - "description": "Canonical description of the entity, in English.",
|
| + "content": {
|
| + "description": "Image content, represented as a stream of bytes.\nNote: as with all `bytes` fields, protobuffers use a pure binary\nrepresentation, whereas JSON representations use base64.",
|
| + "format": "byte",
|
| "type": "string"
|
| }
|
| },
|
| "type": "object"
|
| },
|
| - "BoundingPoly": {
|
| - "description": "A bounding polygon for the detected image annotation.",
|
| - "id": "BoundingPoly",
|
| - "properties": {
|
| - "vertices": {
|
| - "description": "The bounding polygon vertices.",
|
| - "items": {
|
| - "$ref": "Vertex"
|
| - },
|
| - "type": "array"
|
| - }
|
| - },
|
| - "type": "object"
|
| - },
|
| - "AnnotateImageResponse": {
|
| - "description": "Response to an image annotation request.",
|
| - "id": "AnnotateImageResponse",
|
| + "FaceAnnotation": {
|
| + "description": "A face annotation object contains the results of face detection.",
|
| + "id": "FaceAnnotation",
|
| "properties": {
|
| - "logoAnnotations": {
|
| - "description": "If present, logo detection has completed successfully.",
|
| - "items": {
|
| - "$ref": "EntityAnnotation"
|
| - },
|
| - "type": "array"
|
| - },
|
| - "cropHintsAnnotation": {
|
| - "$ref": "CropHintsAnnotation",
|
| - "description": "If present, crop hints have completed successfully."
|
| - },
|
| - "webDetection": {
|
| - "$ref": "WebDetection",
|
| - "description": "If present, web detection has completed successfully."
|
| - },
|
| - "labelAnnotations": {
|
| - "description": "If present, label detection has completed successfully.",
|
| - "items": {
|
| - "$ref": "EntityAnnotation"
|
| - },
|
| - "type": "array"
|
| - },
|
| - "safeSearchAnnotation": {
|
| - "$ref": "SafeSearchAnnotation",
|
| - "description": "If present, safe-search annotation has completed successfully."
|
| - },
|
| - "error": {
|
| - "$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."
|
| + "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"
|
| },
|
| - "fullTextAnnotation": {
|
| - "$ref": "TextAnnotation",
|
| - "description": "If present, text (OCR) detection or document (OCR) text detection has\ncompleted successfully.\nThis annotation provides the structural hierarchy for the OCR detected\ntext."
|
| + "fdBoundingPoly": {
|
| + "$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 <code>fd</code> (face detection) prefix."
|
| },
|
| - "landmarkAnnotations": {
|
| - "description": "If present, landmark detection has completed successfully.",
|
| - "items": {
|
| - "$ref": "EntityAnnotation"
|
| - },
|
| - "type": "array"
|
| + "surpriseLikelihood": {
|
| + "description": "Surprise likelihood.",
|
| + "enum": [
|
| + "UNKNOWN",
|
| + "VERY_UNLIKELY",
|
| + "UNLIKELY",
|
| + "POSSIBLE",
|
| + "LIKELY",
|
| + "VERY_LIKELY"
|
| + ],
|
| + "enumDescriptions": [
|
| + "Unknown likelihood.",
|
| + "It is very unlikely that the image belongs to the specified vertical.",
|
| + "It is unlikely that the image belongs to the specified vertical.",
|
| + "It is possible that the image belongs to the specified vertical.",
|
| + "It is likely that the image belongs to the specified vertical.",
|
| + "It is very likely that the image belongs to the specified vertical."
|
| + ],
|
| + "type": "string"
|
| },
|
| - "textAnnotations": {
|
| - "description": "If present, text (OCR) detection has completed successfully.",
|
| + "landmarks": {
|
| + "description": "Detected face landmarks.",
|
| "items": {
|
| - "$ref": "EntityAnnotation"
|
| + "$ref": "Landmark"
|
| },
|
| "type": "array"
|
| },
|
| - "imagePropertiesAnnotation": {
|
| - "$ref": "ImageProperties",
|
| - "description": "If present, image properties were extracted successfully."
|
| - },
|
| - "faceAnnotations": {
|
| - "description": "If present, face detection has completed successfully.",
|
| - "items": {
|
| - "$ref": "FaceAnnotation"
|
| - },
|
| - "type": "array"
|
| - }
|
| - },
|
| - "type": "object"
|
| - },
|
| - "CropHintsParams": {
|
| - "description": "Parameters for crop hints annotation request.",
|
| - "id": "CropHintsParams",
|
| - "properties": {
|
| - "aspectRatios": {
|
| - "description": "Aspect ratios in floats, representing the ratio of the width to the height\nof the image. For example, if the desired aspect ratio is 4/3, the\ncorresponding float value should be 1.33333. If not specified, the\nbest possible crop is returned. The number of provided aspect ratios is\nlimited to a maximum of 16; any aspect ratios provided after the 16th are\nignored.",
|
| - "items": {
|
| - "format": "float",
|
| - "type": "number"
|
| - },
|
| - "type": "array"
|
| - }
|
| - },
|
| - "type": "object"
|
| - },
|
| - "Block": {
|
| - "description": "Logical element on the page.",
|
| - "id": "Block",
|
| - "properties": {
|
| - "blockType": {
|
| - "description": "Detected block type (text, image etc) for this block.",
|
| + "angerLikelihood": {
|
| + "description": "Anger likelihood.",
|
| "enum": [
|
| "UNKNOWN",
|
| - "TEXT",
|
| - "TABLE",
|
| - "PICTURE",
|
| - "RULER",
|
| - "BARCODE"
|
| + "VERY_UNLIKELY",
|
| + "UNLIKELY",
|
| + "POSSIBLE",
|
| + "LIKELY",
|
| + "VERY_LIKELY"
|
| ],
|
| "enumDescriptions": [
|
| - "Unknown block type.",
|
| - "Regular text block.",
|
| - "Table block.",
|
| - "Image block.",
|
| - "Horizontal/vertical line box.",
|
| - "Barcode block."
|
| + "Unknown likelihood.",
|
| + "It is very unlikely that the image belongs to the specified vertical.",
|
| + "It is unlikely that the image belongs to the specified vertical.",
|
| + "It is possible that the image belongs to the specified vertical.",
|
| + "It is likely that the image belongs to the specified vertical.",
|
| + "It is very likely that the image belongs to the specified vertical."
|
| ],
|
| "type": "string"
|
| },
|
| - "boundingBox": {
|
| - "$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 * 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)."
|
| - },
|
| - "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"
|
| - },
|
| - "Property": {
|
| - "description": "A `Property` consists of a user-supplied name/value pair.",
|
| - "id": "Property",
|
| - "properties": {
|
| - "uint64Value": {
|
| - "description": "Value of numeric properties.",
|
| - "format": "uint64",
|
| + "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"
|
| },
|
| - "name": {
|
| - "description": "Name of the property.",
|
| + "landmarkingConfidence": {
|
| + "description": "Face landmarking confidence. Range [0, 1].",
|
| + "format": "float",
|
| + "type": "number"
|
| + },
|
| + "detectionConfidence": {
|
| + "description": "Detection confidence. Range [0, 1].",
|
| + "format": "float",
|
| + "type": "number"
|
| + },
|
| + "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"
|
| + },
|
| + "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"
|
| },
|
| - "value": {
|
| - "description": "Value of the property.",
|
| + "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"
|
| - }
|
| - },
|
| - "type": "object"
|
| - },
|
| - "LocationInfo": {
|
| - "description": "Detected entity location information.",
|
| - "id": "LocationInfo",
|
| - "properties": {
|
| - "latLng": {
|
| - "$ref": "LatLng",
|
| - "description": "lat/long location coordinates."
|
| - }
|
| - },
|
| - "type": "object"
|
| - },
|
| - "ImageSource": {
|
| - "description": "External image source (Google Cloud Storage image location).",
|
| - "id": "ImageSource",
|
| - "properties": {
|
| - "gcsImageUri": {
|
| - "description": "NOTE: For new code `image_uri` below is preferred.\nGoogle Cloud Storage image URI, which must be in the following form:\n`gs://bucket_name/object_name` (for details, see\n[Google Cloud Storage Request\nURIs](https://cloud.google.com/storage/docs/reference-uris)).\nNOTE: Cloud Storage object versioning is not supported.",
|
| + },
|
| + "headwearLikelihood": {
|
| + "description": "Headwear likelihood.",
|
| + "enum": [
|
| + "UNKNOWN",
|
| + "VERY_UNLIKELY",
|
| + "UNLIKELY",
|
| + "POSSIBLE",
|
| + "LIKELY",
|
| + "VERY_LIKELY"
|
| + ],
|
| + "enumDescriptions": [
|
| + "Unknown likelihood.",
|
| + "It is very unlikely that the image belongs to the specified vertical.",
|
| + "It is unlikely that the image belongs to the specified vertical.",
|
| + "It is possible that the image belongs to the specified vertical.",
|
| + "It is likely that the image belongs to the specified vertical.",
|
| + "It is very likely that the image belongs to the specified vertical."
|
| + ],
|
| "type": "string"
|
| },
|
| - "imageUri": {
|
| - "description": "Image URI which supports:\n1) Google Cloud Storage image URI, which must be in the following form:\n`gs://bucket_name/object_name` (for details, see\n[Google Cloud Storage Request\nURIs](https://cloud.google.com/storage/docs/reference-uris)).\nNOTE: Cloud Storage object versioning is not supported.\n2) Publicly accessible image HTTP/HTTPS URL.\nThis is preferred over the legacy `gcs_image_uri` above. When both\n`gcs_image_uri` and `image_uri` are specified, `image_uri` takes\nprecedence.",
|
| + "boundingPoly": {
|
| + "$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."
|
| + },
|
| + "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"
|
| }
|
| },
|
| "type": "object"
|
| },
|
| - "BatchAnnotateImagesResponse": {
|
| - "description": "Response to a batch image annotation request.",
|
| - "id": "BatchAnnotateImagesResponse",
|
| + "BatchAnnotateImagesRequest": {
|
| + "description": "Multiple image annotation requests are batched into a single service call.",
|
| + "id": "BatchAnnotateImagesRequest",
|
| "properties": {
|
| - "responses": {
|
| - "description": "Individual responses to image annotation requests within the batch.",
|
| + "requests": {
|
| + "description": "Individual image annotation requests for this batch.",
|
| "items": {
|
| - "$ref": "AnnotateImageResponse"
|
| + "$ref": "AnnotateImageRequest"
|
| },
|
| "type": "array"
|
| }
|
| },
|
| "type": "object"
|
| },
|
| - "WebDetection": {
|
| - "description": "Relevant information for the image from the Internet.",
|
| - "id": "WebDetection",
|
| + "DetectedBreak": {
|
| + "description": "Detected start or end of a structural component.",
|
| + "id": "DetectedBreak",
|
| "properties": {
|
| - "fullMatchingImages": {
|
| - "description": "Fully matching images from the Internet.\nCan include resized copies of the query image.",
|
| - "items": {
|
| - "$ref": "WebImage"
|
| - },
|
| - "type": "array"
|
| - },
|
| - "webEntities": {
|
| - "description": "Deduced entities from similar images on the Internet.",
|
| - "items": {
|
| - "$ref": "WebEntity"
|
| - },
|
| - "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"
|
| + "isPrefix": {
|
| + "description": "True if break prepends the element.",
|
| + "type": "boolean"
|
| },
|
| - "visuallySimilarImages": {
|
| - "description": "The visually similar image results.",
|
| - "items": {
|
| - "$ref": "WebImage"
|
| - },
|
| - "type": "array"
|
| + "type": {
|
| + "description": "Detected break type.",
|
| + "enum": [
|
| + "UNKNOWN",
|
| + "SPACE",
|
| + "SURE_SPACE",
|
| + "EOL_SURE_SPACE",
|
| + "HYPHEN",
|
| + "LINE_BREAK"
|
| + ],
|
| + "enumDescriptions": [
|
| + "Unknown break label type.",
|
| + "Regular space.",
|
| + "Sure space (very wide).",
|
| + "Line-wrapping break.",
|
| + "End-line hyphen that is not present in text; does not co-occur with\n`SPACE`, `LEADER_SPACE`, or `LINE_BREAK`.",
|
| + "Line break that ends a paragraph."
|
| + ],
|
| + "type": "string"
|
| }
|
| },
|
| "type": "object"
|
| },
|
| - "Position": {
|
| - "description": "A 3D position in the image, used primarily for Face detection landmarks.\nA valid Position must have both x and y coordinates.\nThe position coordinates are in the same scale as the original image.",
|
| - "id": "Position",
|
| + "ImageContext": {
|
| + "description": "Image context and/or feature-specific parameters.",
|
| + "id": "ImageContext",
|
| "properties": {
|
| - "y": {
|
| - "description": "Y coordinate.",
|
| - "format": "float",
|
| - "type": "number"
|
| + "latLongRect": {
|
| + "$ref": "LatLongRect",
|
| + "description": "lat/long rectangle that specifies the location of the image."
|
| },
|
| - "x": {
|
| - "description": "X coordinate.",
|
| - "format": "float",
|
| - "type": "number"
|
| + "cropHintsParams": {
|
| + "$ref": "CropHintsParams",
|
| + "description": "Parameters for crop hints annotation request."
|
| },
|
| - "z": {
|
| - "description": "Z coordinate (or depth).",
|
| - "format": "float",
|
| - "type": "number"
|
| + "languageHints": {
|
| + "description": "List of languages to use for TEXT_DETECTION. In most cases, an empty value\nyields the best results since it enables automatic language detection. For\nlanguages based on the Latin alphabet, setting `language_hints` is not\nneeded. In rare cases, when the language of the text in the image is known,\nsetting a hint will help get better results (although it will be a\nsignificant hindrance if the hint is wrong). Text detection returns an\nerror if one or more of the specified languages is not one of the\n[supported languages](/vision/docs/languages).",
|
| + "items": {
|
| + "type": "string"
|
| + },
|
| + "type": "array"
|
| }
|
| },
|
| "type": "object"
|
| },
|
| - "ColorInfo": {
|
| - "description": "Color information consists of RGB channels, score, and the fraction of\nthe image that the color occupies in the image.",
|
| - "id": "ColorInfo",
|
| + "Page": {
|
| + "description": "Detected page from OCR.",
|
| + "id": "Page",
|
| "properties": {
|
| - "pixelFraction": {
|
| - "description": "The fraction of pixels the color occupies in the image.\nValue in range [0, 1].",
|
| - "format": "float",
|
| - "type": "number"
|
| + "width": {
|
| + "description": "Page width in pixels.",
|
| + "format": "int32",
|
| + "type": "integer"
|
| },
|
| - "color": {
|
| - "$ref": "Color",
|
| - "description": "RGB components of the color."
|
| + "blocks": {
|
| + "description": "List of blocks of text, images etc on this page.",
|
| + "items": {
|
| + "$ref": "Block"
|
| + },
|
| + "type": "array"
|
| },
|
| - "score": {
|
| - "description": "Image-specific score for this color. Value in range [0, 1].",
|
| - "format": "float",
|
| - "type": "number"
|
| - }
|
| - },
|
| - "type": "object"
|
| - },
|
| - "WebPage": {
|
| - "description": "Metadata for web pages.",
|
| - "id": "WebPage",
|
| - "properties": {
|
| - "url": {
|
| - "description": "The result web page URL.",
|
| - "type": "string"
|
| + "property": {
|
| + "$ref": "TextProperty",
|
| + "description": "Additional information detected on the page."
|
| },
|
| - "score": {
|
| - "description": "Overall relevancy score for the web page.\nNot normalized and not comparable across different image queries.",
|
| - "format": "float",
|
| - "type": "number"
|
| + "height": {
|
| + "description": "Page height in pixels.",
|
| + "format": "int32",
|
| + "type": "integer"
|
| }
|
| },
|
| "type": "object"
|
| },
|
| - "EntityAnnotation": {
|
| - "description": "Set of detected entity features.",
|
| - "id": "EntityAnnotation",
|
| + "AnnotateImageRequest": {
|
| + "description": "Request for performing Google Cloud Vision API tasks over a user-provided\nimage, with user-requested features.",
|
| + "id": "AnnotateImageRequest",
|
| "properties": {
|
| - "score": {
|
| - "description": "Overall score of the result. Range [0, 1].",
|
| - "format": "float",
|
| - "type": "number"
|
| - },
|
| - "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.",
|
| + "features": {
|
| + "description": "Requested features.",
|
| "items": {
|
| - "$ref": "LocationInfo"
|
| + "$ref": "Feature"
|
| },
|
| "type": "array"
|
| },
|
| - "mid": {
|
| - "description": "Opaque entity ID. Some IDs may be available in\n[Google Knowledge Graph Search API](https://developers.google.com/knowledge-graph/).",
|
| - "type": "string"
|
| - },
|
| - "confidence": {
|
| - "description": "The 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"
|
| - },
|
| - "locale": {
|
| - "description": "The language code for the locale in which the entity textual\n`description` is expressed.",
|
| - "type": "string"
|
| - },
|
| - "boundingPoly": {
|
| - "$ref": "BoundingPoly",
|
| - "description": "Image region to which this entity belongs. Not produced\nfor `LABEL_DETECTION` features."
|
| - },
|
| - "description": {
|
| - "description": "Entity textual description, expressed in its `locale` language.",
|
| - "type": "string"
|
| - },
|
| - "topicality": {
|
| - "description": "The relevancy of the ICA (Image Content Annotation) label to the\nimage. For example, the relevancy of \"tower\" is likely higher to an image\ncontaining the detected \"Eiffel Tower\" than to an image containing a\ndetected distant towering building, even though the confidence that\nthere is a tower in each image may be the same. Range [0, 1].",
|
| - "format": "float",
|
| - "type": "number"
|
| + "image": {
|
| + "$ref": "Image",
|
| + "description": "The image to be processed."
|
| },
|
| - "properties": {
|
| - "description": "Some entities may have optional user-supplied `Property` (name/value)\nfields, such a score or string that qualifies the entity.",
|
| - "items": {
|
| - "$ref": "Property"
|
| - },
|
| - "type": "array"
|
| + "imageContext": {
|
| + "$ref": "ImageContext",
|
| + "description": "Additional context that may accompany the image."
|
| }
|
| },
|
| "type": "object"
|
| },
|
| - "CropHint": {
|
| - "description": "Single crop hint that is used to generate a new crop when serving an image.",
|
| - "id": "CropHint",
|
| + "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": {
|
| - "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"
|
| + "code": {
|
| + "description": "The status code, which should be an enum value of google.rpc.Code.",
|
| + "format": "int32",
|
| + "type": "integer"
|
| },
|
| - "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`."
|
| - }
|
| - },
|
| - "type": "object"
|
| - },
|
| - "Landmark": {
|
| - "description": "A face-specific landmark (for example, a face feature).\nLandmark positions may fall outside the bounds of the image\nif the face is near one or more edges of the image.\nTherefore it is NOT guaranteed that `0 <= x < width` or\n`0 <= y < height`.",
|
| - "id": "Landmark",
|
| - "properties": {
|
| - "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."
|
| - ],
|
| + "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"
|
| },
|
| - "position": {
|
| - "$ref": "Position",
|
| - "description": "Face landmark position."
|
| + "details": {
|
| + "description": "A list of messages that carry the error details. There will be a\ncommon set of message types for APIs to use.",
|
| + "items": {
|
| + "additionalProperties": {
|
| + "description": "Properties of the object. Contains field @type with type URL.",
|
| + "type": "any"
|
| + },
|
| + "type": "object"
|
| + },
|
| + "type": "array"
|
| }
|
| },
|
| "type": "object"
|
| },
|
| - "WebImage": {
|
| - "description": "Metadata for online images.",
|
| - "id": "WebImage",
|
| + "LatLongRect": {
|
| + "description": "Rectangle determined by min and max `LatLng` pairs.",
|
| + "id": "LatLongRect",
|
| "properties": {
|
| - "score": {
|
| - "description": "Overall relevancy score for the image.\nNot normalized and not comparable across different image queries.",
|
| - "format": "float",
|
| - "type": "number"
|
| + "minLatLng": {
|
| + "$ref": "LatLng",
|
| + "description": "Min lat/long pair."
|
| },
|
| - "url": {
|
| - "description": "The result image URL.",
|
| - "type": "string"
|
| + "maxLatLng": {
|
| + "$ref": "LatLng",
|
| + "description": "Max lat/long pair."
|
| }
|
| },
|
| "type": "object"
|
| },
|
| - "Word": {
|
| - "description": "A word representation.",
|
| - "id": "Word",
|
| + "Symbol": {
|
| + "description": "A single symbol representation.",
|
| + "id": "Symbol",
|
| "properties": {
|
| "boundingBox": {
|
| "$ref": "BoundingPoly",
|
| - "description": "The bounding box for the word.\nThe vertices are in the order of top-left, top-right, bottom-right,\nbottom-left. When a rotation of the bounding box is detected the rotation\nis represented as around the top-left corner as defined when the text is\nread in the 'natural' orientation.\nFor example:\n * when the text is horizontal it might look like:\n 0----1\n | |\n 3----2\n * when it's rotated 180 degrees around the top-left corner it becomes:\n 2----3\n | |\n 1----0\n and the vertice order will still be (0, 1, 2, 3)."
|
| + "description": "The bounding box for the symbol.\nThe vertices are in the order of top-left, top-right, bottom-right,\nbottom-left. When a rotation of the bounding box is detected the rotation\nis represented as around the top-left corner as defined when the text is\nread in the 'natural' orientation.\nFor example:\n * when the text is horizontal it might look like:\n 0----1\n | |\n 3----2\n * when it's rotated 180 degrees around the top-left corner it becomes:\n 2----3\n | |\n 1----0\n and the vertice order will still be (0, 1, 2, 3)."
|
| },
|
| - "symbols": {
|
| - "description": "List of symbols in the word.\nThe order of the symbols follows the natural reading order.",
|
| - "items": {
|
| - "$ref": "Symbol"
|
| - },
|
| - "type": "array"
|
| + "text": {
|
| + "description": "The actual UTF-8 representation of the symbol.",
|
| + "type": "string"
|
| },
|
| "property": {
|
| "$ref": "TextProperty",
|
| - "description": "Additional information detected for the word."
|
| + "description": "Additional information detected for the symbol."
|
| }
|
| },
|
| "type": "object"
|
| },
|
| - "Paragraph": {
|
| - "description": "Structural unit of text representing a number of words in certain order.",
|
| - "id": "Paragraph",
|
| + "CropHintsAnnotation": {
|
| + "description": "Set of crop hints that are used to generate new crops when serving images.",
|
| + "id": "CropHintsAnnotation",
|
| "properties": {
|
| - "property": {
|
| - "$ref": "TextProperty",
|
| - "description": "Additional information detected for the paragraph."
|
| - },
|
| - "boundingBox": {
|
| - "$ref": "BoundingPoly",
|
| - "description": "The bounding box for the paragraph.\nThe vertices are in the order of top-left, top-right, bottom-right,\nbottom-left. When a rotation of the bounding box is detected the rotation\nis represented as around the top-left corner as defined when the text is\nread in the 'natural' orientation.\nFor example:\n * when the text is horizontal it might look like:\n 0----1\n | |\n 3----2\n * when it's rotated 180 degrees around the top-left corner it becomes:\n 2----3\n | |\n 1----0\n and the vertice order will still be (0, 1, 2, 3)."
|
| - },
|
| - "words": {
|
| - "description": "List of words in this paragraph.",
|
| + "cropHints": {
|
| + "description": "Crop hint results.",
|
| "items": {
|
| - "$ref": "Word"
|
| + "$ref": "CropHint"
|
| },
|
| "type": "array"
|
| }
|
| },
|
| "type": "object"
|
| },
|
| - "Image": {
|
| - "description": "Client image to perform Google Cloud Vision API tasks over.",
|
| - "id": "Image",
|
| + "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<a href=\"http://www.unoosa.org/pdf/icg/2012/template/WGS_84.pdf\">WGS84\nstandard</a>. Values must be within normalized ranges.\n\nExample of normalization code in Python:\n\n def NormalizeLongitude(longitude):\n \"\"\"Wraps decimal degrees longitude to [-180.0, 180.0].\"\"\"\n q, r = divmod(longitude, 360.0)\n if r > 180.0 or (r == 180.0 and q <= -1.0):\n return r - 360.0\n return r\n\n def NormalizeLatLng(latitude, longitude):\n \"\"\"Wraps decimal degrees latitude and longitude to\n [-90.0, 90.0] and [-180.0, 180.0], respectively.\"\"\"\n r = latitude % 360.0\n if r <= 90.0:\n return r, NormalizeLongitude(longitude)\n elif r >= 270.0:\n return r - 360, NormalizeLongitude(longitude)\n else:\n return 180 - r, NormalizeLongitude(longitude + 180.0)\n\n assert 180.0 == NormalizeLongitude(180.0)\n assert -180.0 == NormalizeLongitude(-180.0)\n assert -179.0 == NormalizeLongitude(181.0)\n assert (0.0, 0.0) == NormalizeLatLng(360.0, 0.0)\n assert (0.0, 0.0) == NormalizeLatLng(-360.0, 0.0)\n assert (85.0, 180.0) == NormalizeLatLng(95.0, 0.0)\n assert (-85.0, -170.0) == NormalizeLatLng(-95.0, 10.0)\n assert (90.0, 10.0) == NormalizeLatLng(90.0, 10.0)\n assert (-90.0, -10.0) == NormalizeLatLng(-90.0, -10.0)\n assert (0.0, -170.0) == NormalizeLatLng(-180.0, 10.0)\n assert (0.0, -170.0) == NormalizeLatLng(180.0, 10.0)\n assert (-90.0, 10.0) == NormalizeLatLng(270.0, 10.0)\n assert (90.0, 10.0) == NormalizeLatLng(-270.0, 10.0)",
|
| + "id": "LatLng",
|
| "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"
|
| + "latitude": {
|
| + "description": "The latitude in degrees. It must be in the range [-90.0, +90.0].",
|
| + "format": "double",
|
| + "type": "number"
|
| },
|
| - "source": {
|
| - "$ref": "ImageSource",
|
| - "description": "Google Cloud Storage image location. If both `content` and `source`\nare provided for an image, `content` takes precedence and is\nused to perform the image annotation request."
|
| + "longitude": {
|
| + "description": "The longitude in degrees. It must be in the range [-180.0, +180.0].",
|
| + "format": "double",
|
| + "type": "number"
|
| }
|
| },
|
| "type": "object"
|
| },
|
| - "FaceAnnotation": {
|
| - "description": "A face annotation object contains the results of face detection.",
|
| - "id": "FaceAnnotation",
|
| + "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:&red green:&green blue:&blue alpha:&alpha]) {\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 <= 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 << 16) | (green << 8) | blue);\n var hexString = rgbNumber.toString(16);\n var missingZeros = 6 - hexString.length;\n var resultBuilder = ['#'];\n for (var i = 0; i < missingZeros; i++) {\n resultBuilder.push('0');\n }\n resultBuilder.push(hexString);\n return resultBuilder.join('');\n };\n\n // ...",
|
| + "id": "Color",
|
| "properties": {
|
| - "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"
|
| + "red": {
|
| + "description": "The amount of red in the color as a value in the interval [0, 1].",
|
| + "format": "float",
|
| + "type": "number"
|
| },
|
| - "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].",
|
| + "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"
|
| },
|
| - "detectionConfidence": {
|
| - "description": "Detection confidence. Range [0, 1].",
|
| + "blue": {
|
| + "description": "The amount of blue in the color as a value in the interval [0, 1].",
|
| "format": "float",
|
| "type": "number"
|
| },
|
| - "blurredLikelihood": {
|
| - "description": "Blurred likelihood.",
|
| + "green": {
|
| + "description": "The amount of green in the color as a value in the interval [0, 1].",
|
| + "format": "float",
|
| + "type": "number"
|
| + }
|
| + },
|
| + "type": "object"
|
| + },
|
| + "Feature": {
|
| + "description": "Users describe the type of Google Cloud Vision API tasks to perform over\nimages by using *Feature*s. Each Feature indicates a type of image\ndetection task to perform. Features encode the Cloud Vision API\nvertical to operate on and the number of top-scoring results to return.",
|
| + "id": "Feature",
|
| + "properties": {
|
| + "maxResults": {
|
| + "description": "Maximum number of results of this type.",
|
| + "format": "int32",
|
| + "type": "integer"
|
| + },
|
| + "type": {
|
| + "description": "The feature type.",
|
| "enum": [
|
| - "UNKNOWN",
|
| - "VERY_UNLIKELY",
|
| - "UNLIKELY",
|
| - "POSSIBLE",
|
| - "LIKELY",
|
| - "VERY_LIKELY"
|
| + "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": [
|
| - "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."
|
| + "Unspecified feature type.",
|
| + "Run face detection.",
|
| + "Run landmark detection.",
|
| + "Run logo detection.",
|
| + "Run label detection.",
|
| + "Run OCR.",
|
| + "Run dense text document OCR. Takes precedence when both\nDOCUMENT_TEXT_DETECTION and TEXT_DETECTION are present.",
|
| + "Run computer vision models to compute image safe-search properties.",
|
| + "Compute a set of image properties, such as the image's dominant colors.",
|
| + "Run crop hints.",
|
| + "Run web detection."
|
| ],
|
| "type": "string"
|
| - },
|
| - "headwearLikelihood": {
|
| - "description": "Headwear likelihood.",
|
| + }
|
| + },
|
| + "type": "object"
|
| + },
|
| + "ImageProperties": {
|
| + "description": "Stores image properties, such as dominant colors.",
|
| + "id": "ImageProperties",
|
| + "properties": {
|
| + "dominantColors": {
|
| + "$ref": "DominantColorsAnnotation",
|
| + "description": "If present, dominant colors completed successfully."
|
| + }
|
| + },
|
| + "type": "object"
|
| + },
|
| + "SafeSearchAnnotation": {
|
| + "description": "Set of features pertaining to the image, computed by computer vision\nmethods over safe-search verticals (for example, adult, spoof, medical,\nviolence).",
|
| + "id": "SafeSearchAnnotation",
|
| + "properties": {
|
| + "spoof": {
|
| + "description": "Spoof likelihood. The likelihood that an modification\nwas made to the image's canonical version to make it appear\nfunny or offensive.",
|
| "enum": [
|
| "UNKNOWN",
|
| "VERY_UNLIKELY",
|
| @@ -939,17 +829,8 @@
|
| ],
|
| "type": "string"
|
| },
|
| - "boundingPoly": {
|
| - "$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."
|
| - },
|
| - "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.",
|
| + "medical": {
|
| + "description": "Likelihood that this is a medical image.",
|
| "enum": [
|
| "UNKNOWN",
|
| "VERY_UNLIKELY",
|
| @@ -968,17 +849,8 @@
|
| ],
|
| "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"
|
| - },
|
| - "fdBoundingPoly": {
|
| - "$ref": "BoundingPoly",
|
| - "description": "The `fd_bounding_poly` bounding polygon is tighter than the\n`boundingPoly`, and encloses only the skin part of the face. Typically, it\nis used to eliminate the face from any image analysis that detects the\n\"amount of skin\" visible in an image. It is not based on the\nlandmarker results, only on the initial face detection, hence\nthe <code>fd</code> (face detection) prefix."
|
| - },
|
| - "angerLikelihood": {
|
| - "description": "Anger likelihood.",
|
| + "violence": {
|
| + "description": "Violence likelihood.",
|
| "enum": [
|
| "UNKNOWN",
|
| "VERY_UNLIKELY",
|
| @@ -997,15 +869,8 @@
|
| ],
|
| "type": "string"
|
| },
|
| - "landmarks": {
|
| - "description": "Detected face landmarks.",
|
| - "items": {
|
| - "$ref": "Landmark"
|
| - },
|
| - "type": "array"
|
| - },
|
| - "surpriseLikelihood": {
|
| - "description": "Surprise likelihood.",
|
| + "adult": {
|
| + "description": "Represents the adult content likelihood for the image.",
|
| "enum": [
|
| "UNKNOWN",
|
| "VERY_UNLIKELY",
|
| @@ -1023,320 +888,459 @@
|
| "It is very likely that the image belongs to the specified vertical."
|
| ],
|
| "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": {
|
| + "$ref": "ColorInfo"
|
| + },
|
| + "type": "array"
|
| + }
|
| + },
|
| + "type": "object"
|
| + },
|
| + "TextAnnotation": {
|
| + "description": "TextAnnotation contains a structured representation of OCR extracted text.\nThe hierarchy of an OCR extracted text structure is like this:\n TextAnnotation -> Page -> Block -> Paragraph -> Word -> Symbol\nEach structural component, starting from Page, may further have their own\nproperties. Properties describe detected languages, breaks etc.. Please\nrefer to the google.cloud.vision.v1.TextAnnotation.TextProperty message\ndefinition below for more detail.",
|
| + "id": "TextAnnotation",
|
| + "properties": {
|
| + "pages": {
|
| + "description": "List of pages detected by OCR.",
|
| + "items": {
|
| + "$ref": "Page"
|
| + },
|
| + "type": "array"
|
| + },
|
| + "text": {
|
| + "description": "UTF-8 text detected on the pages.",
|
| + "type": "string"
|
| + }
|
| + },
|
| + "type": "object"
|
| + },
|
| + "DetectedLanguage": {
|
| + "description": "Detected language for a structural component.",
|
| + "id": "DetectedLanguage",
|
| + "properties": {
|
| + "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"
|
| },
|
| - "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"
|
| + "confidence": {
|
| + "description": "Confidence of detected language. Range [0, 1].",
|
| + "format": "float",
|
| + "type": "number"
|
| + }
|
| + },
|
| + "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": {
|
| + "y": {
|
| + "description": "Y coordinate.",
|
| + "format": "int32",
|
| + "type": "integer"
|
| },
|
| - "landmarkingConfidence": {
|
| - "description": "Face landmarking confidence. Range [0, 1].",
|
| + "x": {
|
| + "description": "X coordinate.",
|
| + "format": "int32",
|
| + "type": "integer"
|
| + }
|
| + },
|
| + "type": "object"
|
| + },
|
| + "WebEntity": {
|
| + "description": "Entity deduced from similar images on the Internet.",
|
| + "id": "WebEntity",
|
| + "properties": {
|
| + "score": {
|
| + "description": "Overall relevancy score for the entity.\nNot normalized and not comparable across different image queries.",
|
| "format": "float",
|
| "type": "number"
|
| + },
|
| + "entityId": {
|
| + "description": "Opaque entity ID.",
|
| + "type": "string"
|
| + },
|
| + "description": {
|
| + "description": "Canonical description of the entity, in English.",
|
| + "type": "string"
|
| }
|
| },
|
| "type": "object"
|
| },
|
| - "BatchAnnotateImagesRequest": {
|
| - "description": "Multiple image annotation requests are batched into a single service call.",
|
| - "id": "BatchAnnotateImagesRequest",
|
| + "BoundingPoly": {
|
| + "description": "A bounding polygon for the detected image annotation.",
|
| + "id": "BoundingPoly",
|
| "properties": {
|
| - "requests": {
|
| - "description": "Individual image annotation requests for this batch.",
|
| + "vertices": {
|
| + "description": "The bounding polygon vertices.",
|
| "items": {
|
| - "$ref": "AnnotateImageRequest"
|
| + "$ref": "Vertex"
|
| },
|
| "type": "array"
|
| }
|
| },
|
| "type": "object"
|
| },
|
| - "DetectedBreak": {
|
| - "description": "Detected start or end of a structural component.",
|
| - "id": "DetectedBreak",
|
| + "TextProperty": {
|
| + "description": "Additional information detected on the structural component.",
|
| + "id": "TextProperty",
|
| "properties": {
|
| - "isPrefix": {
|
| - "description": "True if break prepends the element.",
|
| - "type": "boolean"
|
| + "detectedBreak": {
|
| + "$ref": "DetectedBreak",
|
| + "description": "Detected start or end of a text segment."
|
| },
|
| - "type": {
|
| - "description": "Detected break type.",
|
| - "enum": [
|
| - "UNKNOWN",
|
| - "SPACE",
|
| - "SURE_SPACE",
|
| - "EOL_SURE_SPACE",
|
| - "HYPHEN",
|
| - "LINE_BREAK"
|
| - ],
|
| - "enumDescriptions": [
|
| - "Unknown break label type.",
|
| - "Regular space.",
|
| - "Sure space (very wide).",
|
| - "Line-wrapping break.",
|
| - "End-line hyphen that is not present in text; does not co-occur with\n`SPACE`, `LEADER_SPACE`, or `LINE_BREAK`.",
|
| - "Line break that ends a paragraph."
|
| - ],
|
| - "type": "string"
|
| + "detectedLanguages": {
|
| + "description": "A list of detected languages together with confidence.",
|
| + "items": {
|
| + "$ref": "DetectedLanguage"
|
| + },
|
| + "type": "array"
|
| }
|
| },
|
| "type": "object"
|
| },
|
| - "ImageContext": {
|
| - "description": "Image context and/or feature-specific parameters.",
|
| - "id": "ImageContext",
|
| + "AnnotateImageResponse": {
|
| + "description": "Response to an image annotation request.",
|
| + "id": "AnnotateImageResponse",
|
| "properties": {
|
| - "latLongRect": {
|
| - "$ref": "LatLongRect",
|
| - "description": "lat/long rectangle that specifies the location of the image."
|
| + "safeSearchAnnotation": {
|
| + "$ref": "SafeSearchAnnotation",
|
| + "description": "If present, safe-search annotation has completed successfully."
|
| },
|
| - "cropHintsParams": {
|
| - "$ref": "CropHintsParams",
|
| - "description": "Parameters for crop hints annotation request."
|
| + "labelAnnotations": {
|
| + "description": "If present, label detection has completed successfully.",
|
| + "items": {
|
| + "$ref": "EntityAnnotation"
|
| + },
|
| + "type": "array"
|
| },
|
| - "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).",
|
| + "error": {
|
| + "$ref": "Status",
|
| + "description": "If set, represents the error message for the operation.\nNote that filled-in image annotations are guaranteed to be\ncorrect, even when `error` is set."
|
| + },
|
| + "fullTextAnnotation": {
|
| + "$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."
|
| + },
|
| + "landmarkAnnotations": {
|
| + "description": "If present, landmark detection has completed successfully.",
|
| "items": {
|
| - "type": "string"
|
| + "$ref": "EntityAnnotation"
|
| + },
|
| + "type": "array"
|
| + },
|
| + "textAnnotations": {
|
| + "description": "If present, text (OCR) detection has completed successfully.",
|
| + "items": {
|
| + "$ref": "EntityAnnotation"
|
| + },
|
| + "type": "array"
|
| + },
|
| + "faceAnnotations": {
|
| + "description": "If present, face detection has completed successfully.",
|
| + "items": {
|
| + "$ref": "FaceAnnotation"
|
| + },
|
| + "type": "array"
|
| + },
|
| + "imagePropertiesAnnotation": {
|
| + "$ref": "ImageProperties",
|
| + "description": "If present, image properties were extracted successfully."
|
| + },
|
| + "logoAnnotations": {
|
| + "description": "If present, logo detection has completed successfully.",
|
| + "items": {
|
| + "$ref": "EntityAnnotation"
|
| },
|
| "type": "array"
|
| + },
|
| + "webDetection": {
|
| + "$ref": "WebDetection",
|
| + "description": "If present, web detection has completed successfully."
|
| + },
|
| + "cropHintsAnnotation": {
|
| + "$ref": "CropHintsAnnotation",
|
| + "description": "If present, crop hints have completed successfully."
|
| }
|
| },
|
| "type": "object"
|
| },
|
| - "Page": {
|
| - "description": "Detected page from OCR.",
|
| - "id": "Page",
|
| + "CropHintsParams": {
|
| + "description": "Parameters for crop hints annotation request.",
|
| + "id": "CropHintsParams",
|
| "properties": {
|
| - "property": {
|
| - "$ref": "TextProperty",
|
| - "description": "Additional information detected on the page."
|
| - },
|
| - "height": {
|
| - "description": "Page height in pixels.",
|
| - "format": "int32",
|
| - "type": "integer"
|
| - },
|
| - "width": {
|
| - "description": "Page width in pixels.",
|
| - "format": "int32",
|
| - "type": "integer"
|
| - },
|
| - "blocks": {
|
| - "description": "List of blocks of text, images etc on this page.",
|
| + "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": {
|
| - "$ref": "Block"
|
| + "format": "float",
|
| + "type": "number"
|
| },
|
| "type": "array"
|
| }
|
| },
|
| "type": "object"
|
| },
|
| - "AnnotateImageRequest": {
|
| - "description": "Request for performing Google Cloud Vision API tasks over a user-provided\nimage, with user-requested features.",
|
| - "id": "AnnotateImageRequest",
|
| + "Block": {
|
| + "description": "Logical element on the page.",
|
| + "id": "Block",
|
| "properties": {
|
| - "imageContext": {
|
| - "$ref": "ImageContext",
|
| - "description": "Additional context that may accompany the image."
|
| - },
|
| - "image": {
|
| - "$ref": "Image",
|
| - "description": "The image to be processed."
|
| + "boundingBox": {
|
| + "$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 * 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)."
|
| },
|
| - "features": {
|
| - "description": "Requested features.",
|
| + "paragraphs": {
|
| + "description": "List of paragraphs in this block (if this blocks is of type text).",
|
| "items": {
|
| - "$ref": "Feature"
|
| + "$ref": "Paragraph"
|
| },
|
| "type": "array"
|
| + },
|
| + "property": {
|
| + "$ref": "TextProperty",
|
| + "description": "Additional information detected for the block."
|
| + },
|
| + "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"
|
| }
|
| },
|
| "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",
|
| + "Property": {
|
| + "description": "A `Property` consists of a user-supplied name/value pair.",
|
| + "id": "Property",
|
| "properties": {
|
| - "details": {
|
| - "description": "A list of messages that carry the error details. There will be a\ncommon set of message types for APIs to use.",
|
| - "items": {
|
| - "additionalProperties": {
|
| - "description": "Properties of the object. Contains field @type with type URL.",
|
| - "type": "any"
|
| - },
|
| - "type": "object"
|
| - },
|
| - "type": "array"
|
| + "name": {
|
| + "description": "Name of the property.",
|
| + "type": "string"
|
| },
|
| - "code": {
|
| - "description": "The status code, which should be an enum value of google.rpc.Code.",
|
| - "format": "int32",
|
| - "type": "integer"
|
| + "value": {
|
| + "description": "Value of the property.",
|
| + "type": "string"
|
| },
|
| - "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.",
|
| + "uint64Value": {
|
| + "description": "Value of numeric properties.",
|
| + "format": "uint64",
|
| "type": "string"
|
| }
|
| },
|
| "type": "object"
|
| },
|
| - "LatLongRect": {
|
| - "description": "Rectangle determined by min and max `LatLng` pairs.",
|
| - "id": "LatLongRect",
|
| + "LocationInfo": {
|
| + "description": "Detected entity location information.",
|
| + "id": "LocationInfo",
|
| "properties": {
|
| - "maxLatLng": {
|
| - "$ref": "LatLng",
|
| - "description": "Max lat/long pair."
|
| - },
|
| - "minLatLng": {
|
| + "latLng": {
|
| "$ref": "LatLng",
|
| - "description": "Min lat/long pair."
|
| + "description": "lat/long location coordinates."
|
| }
|
| },
|
| "type": "object"
|
| },
|
| - "Symbol": {
|
| - "description": "A single symbol representation.",
|
| - "id": "Symbol",
|
| + "ImageSource": {
|
| + "description": "External image source (Google Cloud Storage image location).",
|
| + "id": "ImageSource",
|
| "properties": {
|
| - "text": {
|
| - "description": "The actual UTF-8 representation of the symbol.",
|
| + "gcsImageUri": {
|
| + "description": "NOTE: For new code `image_uri` below is preferred.\nGoogle Cloud Storage image URI, which must be in the following form:\n`gs://bucket_name/object_name` (for details, see\n[Google Cloud Storage Request\nURIs](https://cloud.google.com/storage/docs/reference-uris)).\nNOTE: Cloud Storage object versioning is not supported.",
|
| "type": "string"
|
| },
|
| - "property": {
|
| - "$ref": "TextProperty",
|
| - "description": "Additional information detected for the symbol."
|
| - },
|
| - "boundingBox": {
|
| - "$ref": "BoundingPoly",
|
| - "description": "The bounding box for the symbol.\nThe vertices are in the order of top-left, top-right, bottom-right,\nbottom-left. When a rotation of the bounding box is detected the rotation\nis represented as around the top-left corner as defined when the text is\nread in the 'natural' orientation.\nFor example:\n * when the text is horizontal it might look like:\n 0----1\n | |\n 3----2\n * when it's rotated 180 degrees around the top-left corner it becomes:\n 2----3\n | |\n 1----0\n and the vertice order will still be (0, 1, 2, 3)."
|
| + "imageUri": {
|
| + "description": "Image URI which supports:\n1) Google Cloud Storage image URI, which must be in the following form:\n`gs://bucket_name/object_name` (for details, see\n[Google Cloud Storage Request\nURIs](https://cloud.google.com/storage/docs/reference-uris)).\nNOTE: Cloud Storage object versioning is not supported.\n2) Publicly accessible image HTTP/HTTPS URL.\nThis is preferred over the legacy `gcs_image_uri` above. When both\n`gcs_image_uri` and `image_uri` are specified, `image_uri` takes\nprecedence.",
|
| + "type": "string"
|
| }
|
| },
|
| "type": "object"
|
| },
|
| - "CropHintsAnnotation": {
|
| - "description": "Set of crop hints that are used to generate new crops when serving images.",
|
| - "id": "CropHintsAnnotation",
|
| + "BatchAnnotateImagesResponse": {
|
| + "description": "Response to a batch image annotation request.",
|
| + "id": "BatchAnnotateImagesResponse",
|
| "properties": {
|
| - "cropHints": {
|
| - "description": "Crop hint results.",
|
| + "responses": {
|
| + "description": "Individual responses to image annotation requests within the batch.",
|
| "items": {
|
| - "$ref": "CropHint"
|
| + "$ref": "AnnotateImageResponse"
|
| },
|
| "type": "array"
|
| }
|
| },
|
| "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<a href=\"http://www.unoosa.org/pdf/icg/2012/template/WGS_84.pdf\">WGS84\nstandard</a>. Values must be within normalized ranges.\n\nExample of normalization code in Python:\n\n def NormalizeLongitude(longitude):\n \"\"\"Wraps decimal degrees longitude to [-180.0, 180.0].\"\"\"\n q, r = divmod(longitude, 360.0)\n if r > 180.0 or (r == 180.0 and q <= -1.0):\n return r - 360.0\n return r\n\n def NormalizeLatLng(latitude, longitude):\n \"\"\"Wraps decimal degrees latitude and longitude to\n [-90.0, 90.0] and [-180.0, 180.0], respectively.\"\"\"\n r = latitude % 360.0\n if r <= 90.0:\n return r, NormalizeLongitude(longitude)\n elif r >= 270.0:\n return r - 360, NormalizeLongitude(longitude)\n else:\n return 180 - r, NormalizeLongitude(longitude + 180.0)\n\n assert 180.0 == NormalizeLongitude(180.0)\n assert -180.0 == NormalizeLongitude(-180.0)\n assert -179.0 == NormalizeLongitude(181.0)\n assert (0.0, 0.0) == NormalizeLatLng(360.0, 0.0)\n assert (0.0, 0.0) == NormalizeLatLng(-360.0, 0.0)\n assert (85.0, 180.0) == NormalizeLatLng(95.0, 0.0)\n assert (-85.0, -170.0) == NormalizeLatLng(-95.0, 10.0)\n assert (90.0, 10.0) == NormalizeLatLng(90.0, 10.0)\n assert (-90.0, -10.0) == NormalizeLatLng(-90.0, -10.0)\n assert (0.0, -170.0) == NormalizeLatLng(-180.0, 10.0)\n assert (0.0, -170.0) == NormalizeLatLng(180.0, 10.0)\n assert (-90.0, 10.0) == NormalizeLatLng(270.0, 10.0)\n assert (90.0, 10.0) == NormalizeLatLng(-270.0, 10.0)",
|
| - "id": "LatLng",
|
| + "WebDetection": {
|
| + "description": "Relevant information for the image from the Internet.",
|
| + "id": "WebDetection",
|
| "properties": {
|
| - "latitude": {
|
| - "description": "The latitude in degrees. It must be in the range [-90.0, +90.0].",
|
| - "format": "double",
|
| - "type": "number"
|
| + "visuallySimilarImages": {
|
| + "description": "The visually similar image results.",
|
| + "items": {
|
| + "$ref": "WebImage"
|
| + },
|
| + "type": "array"
|
| },
|
| - "longitude": {
|
| - "description": "The longitude in degrees. It must be in the range [-180.0, +180.0].",
|
| - "format": "double",
|
| - "type": "number"
|
| + "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": {
|
| + "$ref": "WebImage"
|
| + },
|
| + "type": "array"
|
| + },
|
| + "fullMatchingImages": {
|
| + "description": "Fully matching images from the Internet.\nCan include resized copies of the query image.",
|
| + "items": {
|
| + "$ref": "WebImage"
|
| + },
|
| + "type": "array"
|
| + },
|
| + "webEntities": {
|
| + "description": "Deduced entities from similar images on the Internet.",
|
| + "items": {
|
| + "$ref": "WebEntity"
|
| + },
|
| + "type": "array"
|
| + },
|
| + "pagesWithMatchingImages": {
|
| + "description": "Web pages containing the matching images from the Internet.",
|
| + "items": {
|
| + "$ref": "WebPage"
|
| + },
|
| + "type": "array"
|
| }
|
| },
|
| "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:&red green:&green blue:&blue alpha:&alpha]) {\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 <= 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 << 16) | (green << 8) | blue);\n var hexString = rgbNumber.toString(16);\n var missingZeros = 6 - hexString.length;\n var resultBuilder = ['#'];\n for (var i = 0; i < missingZeros; i++) {\n resultBuilder.push('0');\n }\n resultBuilder.push(hexString);\n return resultBuilder.join('');\n };\n\n // ...",
|
| - "id": "Color",
|
| + "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": {
|
| - "red": {
|
| - "description": "The amount of red in the color as a value in the interval [0, 1].",
|
| + "y": {
|
| + "description": "Y coordinate.",
|
| "format": "float",
|
| "type": "number"
|
| },
|
| - "green": {
|
| - "description": "The amount of green in the color as a value in the interval [0, 1].",
|
| + "z": {
|
| + "description": "Z coordinate (or depth).",
|
| "format": "float",
|
| "type": "number"
|
| },
|
| - "blue": {
|
| - "description": "The amount of blue in the color as a value in the interval [0, 1].",
|
| + "x": {
|
| + "description": "X coordinate.",
|
| "format": "float",
|
| "type": "number"
|
| + }
|
| + },
|
| + "type": "object"
|
| + },
|
| + "WebPage": {
|
| + "description": "Metadata for web pages.",
|
| + "id": "WebPage",
|
| + "properties": {
|
| + "url": {
|
| + "description": "The result web page URL.",
|
| + "type": "string"
|
| },
|
| - "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).",
|
| + "score": {
|
| + "description": "Overall relevancy score for the web page.\nNot normalized and not comparable across different image queries.",
|
| "format": "float",
|
| "type": "number"
|
| }
|
| },
|
| "type": "object"
|
| },
|
| - "Feature": {
|
| - "description": "Users describe the type of Google Cloud Vision API tasks to perform over\nimages by using *Feature*s. Each Feature indicates a type of image\ndetection task to perform. Features encode the Cloud Vision API\nvertical to operate on and the number of top-scoring results to return.",
|
| - "id": "Feature",
|
| + "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": {
|
| - "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 OCR.",
|
| - "Run dense text document OCR. Takes precedence when both\nDOCUMENT_TEXT_DETECTION and TEXT_DETECTION are present.",
|
| - "Run computer vision models to compute image safe-search properties.",
|
| - "Compute a set of image properties, such as the image's dominant colors.",
|
| - "Run crop hints.",
|
| - "Run web detection."
|
| - ],
|
| - "type": "string"
|
| + "pixelFraction": {
|
| + "description": "The fraction of pixels the color occupies in the image.\nValue in range [0, 1].",
|
| + "format": "float",
|
| + "type": "number"
|
| },
|
| - "maxResults": {
|
| - "description": "Maximum number of results of this type.",
|
| - "format": "int32",
|
| - "type": "integer"
|
| + "color": {
|
| + "$ref": "Color",
|
| + "description": "RGB components of the color."
|
| + },
|
| + "score": {
|
| + "description": "Image-specific score for this color. Value in range [0, 1].",
|
| + "format": "float",
|
| + "type": "number"
|
| }
|
| },
|
| "type": "object"
|
| },
|
| - "ImageProperties": {
|
| - "description": "Stores image properties, such as dominant colors.",
|
| - "id": "ImageProperties",
|
| + "EntityAnnotation": {
|
| + "description": "Set of detected entity features.",
|
| + "id": "EntityAnnotation",
|
| "properties": {
|
| - "dominantColors": {
|
| - "$ref": "DominantColorsAnnotation",
|
| - "description": "If present, dominant colors completed successfully."
|
| + "description": {
|
| + "description": "Entity textual description, expressed in its `locale` language.",
|
| + "type": "string"
|
| + },
|
| + "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"
|
| + },
|
| + "properties": {
|
| + "description": "Some entities may have optional user-supplied `Property` (name/value)\nfields, such a score or string that qualifies the entity.",
|
| + "items": {
|
| + "$ref": "Property"
|
| + },
|
| + "type": "array"
|
| + },
|
| + "score": {
|
| + "description": "Overall score of the result. Range [0, 1].",
|
| + "format": "float",
|
| + "type": "number"
|
| + },
|
| + "locations": {
|
| + "description": "The location information for the detected entity. Multiple\n`LocationInfo` elements can be present because one location may\nindicate the location of the scene in the image, and another location\nmay indicate the location of the place where the image was taken.\nLocation information is usually present for landmarks.",
|
| + "items": {
|
| + "$ref": "LocationInfo"
|
| + },
|
| + "type": "array"
|
| + },
|
| + "mid": {
|
| + "description": "Opaque entity ID. Some IDs may be available in\n[Google Knowledge Graph Search API](https://developers.google.com/knowledge-graph/).",
|
| + "type": "string"
|
| + },
|
| + "confidence": {
|
| + "description": "The 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"
|
| + },
|
| + "locale": {
|
| + "description": "The language code for the locale in which the entity textual\n`description` is expressed.",
|
| + "type": "string"
|
| + },
|
| + "boundingPoly": {
|
| + "$ref": "BoundingPoly",
|
| + "description": "Image region to which this entity belongs. Not produced\nfor `LABEL_DETECTION` features."
|
| }
|
| },
|
| "type": "object"
|
|
|
Chromium Code Reviews
Issue 2973303002:
Api-Roll 51: 2017-07-10 (Closed)
