mirror of
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449 lines
20 KiB
JSON
449 lines
20 KiB
JSON
{
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"version": "v1beta1",
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"baseUrl": "https://videointelligence.googleapis.com/",
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"servicePath": "",
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"description": "Google Cloud Video Intelligence API.",
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"kind": "discovery#restDescription",
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"basePath": "",
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"revision": "20170511",
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"id": "videointelligence:v1beta1",
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"documentationLink": "https://cloud.google.com/video-intelligence/docs/",
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"discoveryVersion": "v1",
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"version_module": "True",
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"schemas": {
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"GoogleCloudVideointelligenceV1beta1_AnnotateVideoProgress": {
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"description": "Video annotation progress. Included in the `metadata`\nfield of the `Operation` returned by the `GetOperation`\ncall of the `google::longrunning::Operations` service.",
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"type": "object",
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"properties": {
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"annotationProgress": {
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"description": "Progress metadata for all videos specified in `AnnotateVideoRequest`.",
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"type": "array",
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"items": {
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"$ref": "GoogleCloudVideointelligenceV1beta1_VideoAnnotationProgress"
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}
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}
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},
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"id": "GoogleCloudVideointelligenceV1beta1_AnnotateVideoProgress"
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},
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"GoogleCloudVideointelligenceV1beta1_AnnotateVideoRequest": {
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"description": "Video annotation request.",
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"type": "object",
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"properties": {
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"inputContent": {
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"description": "The video data bytes. Encoding: base64. If unset, the input video(s)\nshould be specified via `input_uri`. If set, `input_uri` should be unset.",
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"type": "string"
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},
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"outputUri": {
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"description": "Optional location where the output (in JSON format) should be stored.\nCurrently, only [Google Cloud Storage](https://cloud.google.com/storage/)\nURIs are supported, which must be specified in the following format:\n`gs://bucket-id/object-id` (other URI formats return\ngoogle.rpc.Code.INVALID_ARGUMENT). For more information, see\n[Request URIs](/storage/docs/reference-uris).",
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"type": "string"
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},
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"features": {
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"description": "Requested video annotation features.",
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"type": "array",
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"items": {
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"enum": [
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"FEATURE_UNSPECIFIED",
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"LABEL_DETECTION",
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"SHOT_CHANGE_DETECTION"
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],
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"type": "string"
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},
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"enumDescriptions": [
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"Unspecified.",
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"Label detection. Detect objects, such as dog or flower.",
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"Shot change detection."
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]
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},
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"videoContext": {
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"description": "Additional video context and/or feature-specific parameters.",
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"$ref": "GoogleCloudVideointelligenceV1beta1_VideoContext"
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},
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"locationId": {
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"description": "Optional cloud region where annotation should take place. Supported cloud\nregions: `us-east1`, `us-west1`, `europe-west1`, `asia-east1`. If no region\nis specified, a region will be determined based on video file location.",
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"type": "string"
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},
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"inputUri": {
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"description": "Input video location. Currently, only\n[Google Cloud Storage](https://cloud.google.com/storage/) URIs are\nsupported, which must be specified in the following format:\n`gs://bucket-id/object-id` (other URI formats return\ngoogle.rpc.Code.INVALID_ARGUMENT). For more information, see\n[Request URIs](/storage/docs/reference-uris).\nA video URI may include wildcards in `object-id`, and thus identify\nmultiple videos. Supported wildcards: '*' to match 0 or more characters;\n'?' to match 1 character. If unset, the input video should be embedded\nin the request as `input_content`. If set, `input_content` should be unset.",
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"type": "string"
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}
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},
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"id": "GoogleCloudVideointelligenceV1beta1_AnnotateVideoRequest"
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},
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"GoogleCloudVideointelligenceV1beta1_LabelLocation": {
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"description": "Label location.",
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"type": "object",
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"properties": {
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"level": {
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"enumDescriptions": [
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"Unspecified.",
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"Video-level. Corresponds to the whole video.",
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"Segment-level. Corresponds to one of `AnnotateSpec.segments`.",
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"Shot-level. Corresponds to a single shot (i.e. a series of frames\nwithout a major camera position or background change).",
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"Frame-level. Corresponds to a single video frame."
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],
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"enum": [
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"LABEL_LEVEL_UNSPECIFIED",
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"VIDEO_LEVEL",
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"SEGMENT_LEVEL",
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"SHOT_LEVEL",
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"FRAME_LEVEL"
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],
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"description": "Label level.",
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"type": "string"
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},
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"confidence": {
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"description": "Confidence that the label is accurate. Range: [0, 1].",
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"format": "float",
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"type": "number"
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},
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"segment": {
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"description": "Video segment. Set to [-1, -1] for video-level labels.\nSet to [timestamp, timestamp] for frame-level labels.\nOtherwise, corresponds to one of `AnnotateSpec.segments`\n(if specified) or to shot boundaries (if requested).",
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"$ref": "GoogleCloudVideointelligenceV1beta1_VideoSegment"
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}
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},
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"id": "GoogleCloudVideointelligenceV1beta1_LabelLocation"
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},
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"GoogleCloudVideointelligenceV1beta1_VideoSegment": {
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"properties": {
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"endTimeOffset": {
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"description": "End offset in microseconds (inclusive). Unset means 0.",
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"format": "int64",
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"type": "string"
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},
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"startTimeOffset": {
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"description": "Start offset in microseconds (inclusive). Unset means 0.",
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"format": "int64",
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"type": "string"
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}
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},
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"id": "GoogleCloudVideointelligenceV1beta1_VideoSegment",
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"description": "Video segment.",
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"type": "object"
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},
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"GoogleLongrunning_Operation": {
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"description": "This resource represents a long-running operation that is the result of a\nnetwork API call.",
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"type": "object",
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"properties": {
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"done": {
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"description": "If the value is `false`, it means the operation is still in progress.\nIf true, the operation is completed, and either `error` or `response` is\navailable.",
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"type": "boolean"
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},
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"response": {
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"description": "The normal response of the operation in case of success. If the original\nmethod returns no data on success, such as `Delete`, the response is\n`google.protobuf.Empty`. If the original method is standard\n`Get`/`Create`/`Update`, the response should be the resource. For other\nmethods, the response should have the type `XxxResponse`, where `Xxx`\nis the original method name. For example, if the original method name\nis `TakeSnapshot()`, the inferred response type is\n`TakeSnapshotResponse`.",
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"type": "object",
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"additionalProperties": {
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"description": "Properties of the object. Contains field @type with type URL.",
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"type": "any"
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}
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},
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"name": {
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"description": "The server-assigned name, which is only unique within the same service that\noriginally returns it. If you use the default HTTP mapping, the\n`name` should have the format of `operations/some/unique/name`.",
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"type": "string"
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},
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"error": {
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"$ref": "GoogleRpc_Status",
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"description": "The error result of the operation in case of failure or cancellation."
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},
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"metadata": {
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"additionalProperties": {
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"description": "Properties of the object. Contains field @type with type URL.",
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"type": "any"
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},
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"description": "Service-specific metadata associated with the operation. It typically\ncontains progress information and common metadata such as create time.\nSome services might not provide such metadata. Any method that returns a\nlong-running operation should document the metadata type, if any.",
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"type": "object"
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}
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},
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"id": "GoogleLongrunning_Operation"
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},
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"GoogleCloudVideointelligenceV1beta1_VideoAnnotationResults": {
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"description": "Annotation results for a single video.",
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"type": "object",
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"properties": {
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"error": {
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"$ref": "GoogleRpc_Status",
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"description": "If set, indicates an error. Note that for a single `AnnotateVideoRequest`\nsome videos may succeed and some may fail."
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},
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"shotAnnotations": {
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"description": "Shot annotations. Each shot is represented as a video segment.",
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"type": "array",
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"items": {
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"$ref": "GoogleCloudVideointelligenceV1beta1_VideoSegment"
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}
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},
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"inputUri": {
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"description": "Video file location in\n[Google Cloud Storage](https://cloud.google.com/storage/).",
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"type": "string"
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},
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"labelAnnotations": {
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"description": "Label annotations. There is exactly one element for each unique label.",
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"type": "array",
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"items": {
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"$ref": "GoogleCloudVideointelligenceV1beta1_LabelAnnotation"
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}
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}
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},
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"id": "GoogleCloudVideointelligenceV1beta1_VideoAnnotationResults"
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},
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"GoogleCloudVideointelligenceV1beta1_LabelAnnotation": {
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"description": "Label annotation.",
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"type": "object",
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"properties": {
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"languageCode": {
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"description": "Language code for `description` in BCP-47 format.",
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"type": "string"
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},
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"description": {
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"description": "Textual description, e.g. `Fixed-gear bicycle`.",
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"type": "string"
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},
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"locations": {
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"description": "Where the label was detected and with what confidence.",
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"type": "array",
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"items": {
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"$ref": "GoogleCloudVideointelligenceV1beta1_LabelLocation"
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}
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}
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},
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"id": "GoogleCloudVideointelligenceV1beta1_LabelAnnotation"
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},
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"GoogleCloudVideointelligenceV1beta1_AnnotateVideoResponse": {
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"description": "Video annotation response. Included in the `response`\nfield of the `Operation` returned by the `GetOperation`\ncall of the `google::longrunning::Operations` service.",
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"type": "object",
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"properties": {
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"annotationResults": {
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"description": "Annotation results for all videos specified in `AnnotateVideoRequest`.",
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"type": "array",
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"items": {
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"$ref": "GoogleCloudVideointelligenceV1beta1_VideoAnnotationResults"
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}
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}
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},
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"id": "GoogleCloudVideointelligenceV1beta1_AnnotateVideoResponse"
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},
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"GoogleCloudVideointelligenceV1beta1_VideoContext": {
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"properties": {
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"shotChangeDetectionModel": {
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"description": "Model to use for shot change detection.\nSupported values: \"latest\" and \"stable\" (the default).",
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"type": "string"
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},
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"segments": {
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"description": "Video segments to annotate. The segments may overlap and are not required\nto be contiguous or span the whole video. If unspecified, each video\nis treated as a single segment.",
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"type": "array",
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"items": {
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"$ref": "GoogleCloudVideointelligenceV1beta1_VideoSegment"
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}
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},
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"labelDetectionModel": {
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"description": "Model to use for label detection.\nSupported values: \"latest\" and \"stable\" (the default).",
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"type": "string"
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},
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"labelDetectionMode": {
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"enumDescriptions": [
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"Unspecified.",
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"Detect shot-level labels.",
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"Detect frame-level labels.",
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"Detect both shot-level and frame-level labels."
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],
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"enum": [
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"LABEL_DETECTION_MODE_UNSPECIFIED",
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"SHOT_MODE",
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"FRAME_MODE",
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"SHOT_AND_FRAME_MODE"
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],
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"description": "If label detection has been requested, what labels should be detected\nin addition to video-level labels or segment-level labels. If unspecified,\ndefaults to `SHOT_MODE`.",
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"type": "string"
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}
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},
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"id": "GoogleCloudVideointelligenceV1beta1_VideoContext",
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"description": "Video context and/or feature-specific parameters.",
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"type": "object"
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},
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"GoogleCloudVideointelligenceV1beta1_VideoAnnotationProgress": {
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"description": "Annotation progress for a single video.",
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"type": "object",
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"properties": {
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"updateTime": {
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"description": "Time of the most recent update.",
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"format": "google-datetime",
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"type": "string"
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},
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"startTime": {
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"description": "Time when the request was received.",
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"format": "google-datetime",
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"type": "string"
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},
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"inputUri": {
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"description": "Video file location in\n[Google Cloud Storage](https://cloud.google.com/storage/).",
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"type": "string"
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},
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"progressPercent": {
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"description": "Approximate percentage processed thus far.\nGuaranteed to be 100 when fully processed.",
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"format": "int32",
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"type": "integer"
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}
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},
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"id": "GoogleCloudVideointelligenceV1beta1_VideoAnnotationProgress"
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},
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"GoogleRpc_Status": {
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"properties": {
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"code": {
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"description": "The status code, which should be an enum value of google.rpc.Code.",
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"format": "int32",
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"type": "integer"
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},
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"message": {
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"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.",
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"type": "string"
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},
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"details": {
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"description": "A list of messages that carry the error details. There will be a\ncommon set of message types for APIs to use.",
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"type": "array",
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"items": {
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"additionalProperties": {
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"description": "Properties of the object. Contains field @type with type URL.",
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"type": "any"
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},
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"type": "object"
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}
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}
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},
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"id": "GoogleRpc_Status",
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"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.",
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"type": "object"
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}
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},
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"icons": {
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"x32": "http://www.google.com/images/icons/product/search-32.gif",
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"x16": "http://www.google.com/images/icons/product/search-16.gif"
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},
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"protocol": "rest",
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"canonicalName": "Cloud Video Intelligence",
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"auth": {
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"oauth2": {
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"scopes": {
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"https://www.googleapis.com/auth/cloud-platform": {
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"description": "View and manage your data across Google Cloud Platform services"
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}
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}
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}
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},
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"rootUrl": "https://videointelligence.googleapis.com/",
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"ownerDomain": "google.com",
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"name": "videointelligence",
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"batchPath": "batch",
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"title": "Google Cloud Video Intelligence API",
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"ownerName": "Google",
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"resources": {
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"videos": {
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"methods": {
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"annotate": {
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"flatPath": "v1beta1/videos:annotate",
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"id": "videointelligence.videos.annotate",
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"path": "v1beta1/videos:annotate",
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"request": {
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"$ref": "GoogleCloudVideointelligenceV1beta1_AnnotateVideoRequest"
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},
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"description": "Performs asynchronous video annotation. Progress and results can be\nretrieved through the `google.longrunning.Operations` interface.\n`Operation.metadata` contains `AnnotateVideoProgress` (progress).\n`Operation.response` contains `AnnotateVideoResponse` (results).",
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"httpMethod": "POST",
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"parameterOrder": [],
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"response": {
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"$ref": "GoogleLongrunning_Operation"
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},
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"parameters": {},
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"scopes": [
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"https://www.googleapis.com/auth/cloud-platform"
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]
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}
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}
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}
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},
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"parameters": {
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"upload_protocol": {
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"location": "query",
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"description": "Upload protocol for media (e.g. \"raw\", \"multipart\").",
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"type": "string"
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},
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"prettyPrint": {
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"description": "Returns response with indentations and line breaks.",
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"type": "boolean",
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"default": "true",
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"location": "query"
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},
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"uploadType": {
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"description": "Legacy upload protocol for media (e.g. \"media\", \"multipart\").",
|
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"type": "string",
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"location": "query"
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},
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"fields": {
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"description": "Selector specifying which fields to include in a partial response.",
|
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"type": "string",
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"location": "query"
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},
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"$.xgafv": {
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"enumDescriptions": [
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"v1 error format",
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"v2 error format"
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],
|
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"location": "query",
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"enum": [
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"1",
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"2"
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],
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"description": "V1 error format.",
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"type": "string"
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},
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"callback": {
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"location": "query",
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"description": "JSONP",
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"type": "string"
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},
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"alt": {
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"description": "Data format for response.",
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"default": "json",
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"enum": [
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"json",
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"media",
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"proto"
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],
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"type": "string",
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"enumDescriptions": [
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"Responses with Content-Type of application/json",
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"Media download with context-dependent Content-Type",
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"Responses with Content-Type of application/x-protobuf"
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],
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"location": "query"
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},
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"key": {
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"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.",
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"type": "string",
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"location": "query"
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},
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"access_token": {
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"description": "OAuth access token.",
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"type": "string",
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"location": "query"
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},
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"quotaUser": {
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"location": "query",
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"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.",
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"type": "string"
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},
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"pp": {
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"description": "Pretty-print response.",
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"type": "boolean",
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"default": "true",
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"location": "query"
|
|
},
|
|
"oauth_token": {
|
|
"description": "OAuth 2.0 token for the current user.",
|
|
"type": "string",
|
|
"location": "query"
|
|
},
|
|
"bearer_token": {
|
|
"description": "OAuth bearer token.",
|
|
"type": "string",
|
|
"location": "query"
|
|
}
|
|
}
|
|
}
|