push all website files

This commit is contained in:
Jacob Levine
2019-01-06 13:14:45 -06:00
parent d7301e26c3
commit d2d5d4c04e
15662 changed files with 2166516 additions and 0 deletions

View File

@@ -0,0 +1,392 @@
// Copyright 2017 Google Inc.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
syntax = "proto3";
package google.cloud.videointelligence.v1;
import "google/api/annotations.proto";
import "google/longrunning/operations.proto";
import "google/protobuf/duration.proto";
import "google/protobuf/timestamp.proto";
import "google/rpc/status.proto";
option csharp_namespace = "Google.Cloud.VideoIntelligence.V1";
option go_package = "google.golang.org/genproto/googleapis/cloud/videointelligence/v1;videointelligence";
option java_multiple_files = true;
option java_outer_classname = "VideoIntelligenceServiceProto";
option java_package = "com.google.cloud.videointelligence.v1";
option php_namespace = "Google\\Cloud\\VideoIntelligence\\V1";
// Service that implements Google Cloud Video Intelligence API.
service VideoIntelligenceService {
// Performs asynchronous video annotation. Progress and results can be
// retrieved through the `google.longrunning.Operations` interface.
// `Operation.metadata` contains `AnnotateVideoProgress` (progress).
// `Operation.response` contains `AnnotateVideoResponse` (results).
rpc AnnotateVideo(AnnotateVideoRequest) returns (google.longrunning.Operation) {
option (google.api.http) = { post: "/v1/videos:annotate" body: "*" };
}
}
// Video annotation request.
message AnnotateVideoRequest {
// Input video location. Currently, only
// [Google Cloud Storage](https://cloud.google.com/storage/) URIs are
// supported, which must be specified in the following format:
// `gs://bucket-id/object-id` (other URI formats return
// [google.rpc.Code.INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT]). For more information, see
// [Request URIs](/storage/docs/reference-uris).
// A video URI may include wildcards in `object-id`, and thus identify
// multiple videos. Supported wildcards: '*' to match 0 or more characters;
// '?' to match 1 character. If unset, the input video should be embedded
// in the request as `input_content`. If set, `input_content` should be unset.
string input_uri = 1;
// The video data bytes.
// If unset, the input video(s) should be specified via `input_uri`.
// If set, `input_uri` should be unset.
bytes input_content = 6;
// Requested video annotation features.
repeated Feature features = 2;
// Additional video context and/or feature-specific parameters.
VideoContext video_context = 3;
// Optional location where the output (in JSON format) should be stored.
// Currently, only [Google Cloud Storage](https://cloud.google.com/storage/)
// URIs are supported, which must be specified in the following format:
// `gs://bucket-id/object-id` (other URI formats return
// [google.rpc.Code.INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT]). For more information, see
// [Request URIs](/storage/docs/reference-uris).
string output_uri = 4;
// Optional cloud region where annotation should take place. Supported cloud
// regions: `us-east1`, `us-west1`, `europe-west1`, `asia-east1`. If no region
// is specified, a region will be determined based on video file location.
string location_id = 5;
}
// Video context and/or feature-specific parameters.
message VideoContext {
// Video segments to annotate. The segments may overlap and are not required
// to be contiguous or span the whole video. If unspecified, each video
// is treated as a single segment.
repeated VideoSegment segments = 1;
// Config for LABEL_DETECTION.
LabelDetectionConfig label_detection_config = 2;
// Config for SHOT_CHANGE_DETECTION.
ShotChangeDetectionConfig shot_change_detection_config = 3;
// Config for EXPLICIT_CONTENT_DETECTION.
ExplicitContentDetectionConfig explicit_content_detection_config = 4;
// Config for FACE_DETECTION.
FaceDetectionConfig face_detection_config = 5;
}
// Config for LABEL_DETECTION.
message LabelDetectionConfig {
// What labels should be detected with LABEL_DETECTION, in addition to
// video-level labels or segment-level labels.
// If unspecified, defaults to `SHOT_MODE`.
LabelDetectionMode label_detection_mode = 1;
// Whether the video has been shot from a stationary (i.e. non-moving) camera.
// When set to true, might improve detection accuracy for moving objects.
// Should be used with `SHOT_AND_FRAME_MODE` enabled.
bool stationary_camera = 2;
// Model to use for label detection.
// Supported values: "builtin/stable" (the default if unset) and
// "builtin/latest".
string model = 3;
}
// Config for SHOT_CHANGE_DETECTION.
message ShotChangeDetectionConfig {
// Model to use for shot change detection.
// Supported values: "builtin/stable" (the default if unset) and
// "builtin/latest".
string model = 1;
}
// Config for EXPLICIT_CONTENT_DETECTION.
message ExplicitContentDetectionConfig {
// Model to use for explicit content detection.
// Supported values: "builtin/stable" (the default if unset) and
// "builtin/latest".
string model = 1;
}
// Config for FACE_DETECTION.
message FaceDetectionConfig {
// Model to use for face detection.
// Supported values: "builtin/stable" (the default if unset) and
// "builtin/latest".
string model = 1;
// Whether bounding boxes be included in the face annotation output.
bool include_bounding_boxes = 2;
}
// Video segment.
message VideoSegment {
// Time-offset, relative to the beginning of the video,
// corresponding to the start of the segment (inclusive).
google.protobuf.Duration start_time_offset = 1;
// Time-offset, relative to the beginning of the video,
// corresponding to the end of the segment (inclusive).
google.protobuf.Duration end_time_offset = 2;
}
// Video segment level annotation results for label detection.
message LabelSegment {
// Video segment where a label was detected.
VideoSegment segment = 1;
// Confidence that the label is accurate. Range: [0, 1].
float confidence = 2;
}
// Video frame level annotation results for label detection.
message LabelFrame {
// Time-offset, relative to the beginning of the video, corresponding to the
// video frame for this location.
google.protobuf.Duration time_offset = 1;
// Confidence that the label is accurate. Range: [0, 1].
float confidence = 2;
}
// Detected entity from video analysis.
message Entity {
// Opaque entity ID. Some IDs may be available in
// [Google Knowledge Graph Search
// API](https://developers.google.com/knowledge-graph/).
string entity_id = 1;
// Textual description, e.g. `Fixed-gear bicycle`.
string description = 2;
// Language code for `description` in BCP-47 format.
string language_code = 3;
}
// Label annotation.
message LabelAnnotation {
// Detected entity.
Entity entity = 1;
// Common categories for the detected entity.
// E.g. when the label is `Terrier` the category is likely `dog`. And in some
// cases there might be more than one categories e.g. `Terrier` could also be
// a `pet`.
repeated Entity category_entities = 2;
// All video segments where a label was detected.
repeated LabelSegment segments = 3;
// All video frames where a label was detected.
repeated LabelFrame frames = 4;
}
// Video frame level annotation results for explicit content.
message ExplicitContentFrame {
// Time-offset, relative to the beginning of the video, corresponding to the
// video frame for this location.
google.protobuf.Duration time_offset = 1;
// Likelihood of the pornography content..
Likelihood pornography_likelihood = 2;
}
// Explicit content annotation (based on per-frame visual signals only).
// If no explicit content has been detected in a frame, no annotations are
// present for that frame.
message ExplicitContentAnnotation {
// All video frames where explicit content was detected.
repeated ExplicitContentFrame frames = 1;
}
// Normalized bounding box.
// The normalized vertex coordinates are relative to the original image.
// Range: [0, 1].
message NormalizedBoundingBox {
// Left X coordinate.
float left = 1;
// Top Y coordinate.
float top = 2;
// Right X coordinate.
float right = 3;
// Bottom Y coordinate.
float bottom = 4;
}
// Video segment level annotation results for face detection.
message FaceSegment {
// Video segment where a face was detected.
VideoSegment segment = 1;
}
// Video frame level annotation results for face detection.
message FaceFrame {
// Normalized Bounding boxes in a frame.
// There can be more than one boxes if the same face is detected in multiple
// locations within the current frame.
repeated NormalizedBoundingBox normalized_bounding_boxes = 1;
// Time-offset, relative to the beginning of the video,
// corresponding to the video frame for this location.
google.protobuf.Duration time_offset = 2;
}
// Face annotation.
message FaceAnnotation {
// Thumbnail of a representative face view (in JPEG format).
bytes thumbnail = 1;
// All video segments where a face was detected.
repeated FaceSegment segments = 2;
// All video frames where a face was detected.
repeated FaceFrame frames = 3;
}
// Annotation results for a single video.
message VideoAnnotationResults {
// Video file location in
// [Google Cloud Storage](https://cloud.google.com/storage/).
string input_uri = 1;
// Label annotations on video level or user specified segment level.
// There is exactly one element for each unique label.
repeated LabelAnnotation segment_label_annotations = 2;
// Label annotations on shot level.
// There is exactly one element for each unique label.
repeated LabelAnnotation shot_label_annotations = 3;
// Label annotations on frame level.
// There is exactly one element for each unique label.
repeated LabelAnnotation frame_label_annotations = 4;
// Face annotations. There is exactly one element for each unique face.
repeated FaceAnnotation face_annotations = 5;
// Shot annotations. Each shot is represented as a video segment.
repeated VideoSegment shot_annotations = 6;
// Explicit content annotation.
ExplicitContentAnnotation explicit_annotation = 7;
// If set, indicates an error. Note that for a single `AnnotateVideoRequest`
// some videos may succeed and some may fail.
google.rpc.Status error = 9;
}
// Video annotation response. Included in the `response`
// field of the `Operation` returned by the `GetOperation`
// call of the `google::longrunning::Operations` service.
message AnnotateVideoResponse {
// Annotation results for all videos specified in `AnnotateVideoRequest`.
repeated VideoAnnotationResults annotation_results = 1;
}
// Annotation progress for a single video.
message VideoAnnotationProgress {
// Video file location in
// [Google Cloud Storage](https://cloud.google.com/storage/).
string input_uri = 1;
// Approximate percentage processed thus far.
// Guaranteed to be 100 when fully processed.
int32 progress_percent = 2;
// Time when the request was received.
google.protobuf.Timestamp start_time = 3;
// Time of the most recent update.
google.protobuf.Timestamp update_time = 4;
}
// Video annotation progress. Included in the `metadata`
// field of the `Operation` returned by the `GetOperation`
// call of the `google::longrunning::Operations` service.
message AnnotateVideoProgress {
// Progress metadata for all videos specified in `AnnotateVideoRequest`.
repeated VideoAnnotationProgress annotation_progress = 1;
}
// Video annotation feature.
enum Feature {
// Unspecified.
FEATURE_UNSPECIFIED = 0;
// Label detection. Detect objects, such as dog or flower.
LABEL_DETECTION = 1;
// Shot change detection.
SHOT_CHANGE_DETECTION = 2;
// Explicit content detection.
EXPLICIT_CONTENT_DETECTION = 3;
// Human face detection and tracking.
FACE_DETECTION = 4;
}
// Label detection mode.
enum LabelDetectionMode {
// Unspecified.
LABEL_DETECTION_MODE_UNSPECIFIED = 0;
// Detect shot-level labels.
SHOT_MODE = 1;
// Detect frame-level labels.
FRAME_MODE = 2;
// Detect both shot-level and frame-level labels.
SHOT_AND_FRAME_MODE = 3;
}
// Bucketized representation of likelihood.
enum Likelihood {
// Unspecified likelihood.
LIKELIHOOD_UNSPECIFIED = 0;
// Very unlikely.
VERY_UNLIKELY = 1;
// Unlikely.
UNLIKELY = 2;
// Possible.
POSSIBLE = 3;
// Likely.
LIKELY = 4;
// Very likely.
VERY_LIKELY = 5;
}

View File

@@ -0,0 +1,340 @@
// Copyright 2017 Google Inc.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
syntax = "proto3";
package google.cloud.videointelligence.v1beta1;
import "google/api/annotations.proto";
import "google/longrunning/operations.proto";
import "google/protobuf/timestamp.proto";
import "google/rpc/status.proto";
option csharp_namespace = "Google.Cloud.VideoIntelligence.V1Beta1";
option go_package = "google.golang.org/genproto/googleapis/cloud/videointelligence/v1beta1;videointelligence";
option java_multiple_files = true;
option java_outer_classname = "VideoIntelligenceServiceProto";
option java_package = "com.google.cloud.videointelligence.v1beta1";
option php_namespace = "Google\\Cloud\\VideoIntelligence\\V1beta1";
// Service that implements Google Cloud Video Intelligence API.
service VideoIntelligenceService {
// Performs asynchronous video annotation. Progress and results can be
// retrieved through the `google.longrunning.Operations` interface.
// `Operation.metadata` contains `AnnotateVideoProgress` (progress).
// `Operation.response` contains `AnnotateVideoResponse` (results).
rpc AnnotateVideo(AnnotateVideoRequest) returns (google.longrunning.Operation) {
option (google.api.http) = { post: "/v1beta1/videos:annotate" body: "*" };
}
}
// Video annotation request.
message AnnotateVideoRequest {
// Input video location. Currently, only
// [Google Cloud Storage](https://cloud.google.com/storage/) URIs are
// supported, which must be specified in the following format:
// `gs://bucket-id/object-id` (other URI formats return
// [google.rpc.Code.INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT]). For more information, see
// [Request URIs](/storage/docs/reference-uris).
// A video URI may include wildcards in `object-id`, and thus identify
// multiple videos. Supported wildcards: '*' to match 0 or more characters;
// '?' to match 1 character. If unset, the input video should be embedded
// in the request as `input_content`. If set, `input_content` should be unset.
string input_uri = 1;
// The video data bytes. Encoding: base64. If unset, the input video(s)
// should be specified via `input_uri`. If set, `input_uri` should be unset.
string input_content = 6;
// Requested video annotation features.
repeated Feature features = 2;
// Additional video context and/or feature-specific parameters.
VideoContext video_context = 3;
// Optional location where the output (in JSON format) should be stored.
// Currently, only [Google Cloud Storage](https://cloud.google.com/storage/)
// URIs are supported, which must be specified in the following format:
// `gs://bucket-id/object-id` (other URI formats return
// [google.rpc.Code.INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT]). For more information, see
// [Request URIs](/storage/docs/reference-uris).
string output_uri = 4;
// Optional cloud region where annotation should take place. Supported cloud
// regions: `us-east1`, `us-west1`, `europe-west1`, `asia-east1`. If no region
// is specified, a region will be determined based on video file location.
string location_id = 5;
}
// Video context and/or feature-specific parameters.
message VideoContext {
// Video segments to annotate. The segments may overlap and are not required
// to be contiguous or span the whole video. If unspecified, each video
// is treated as a single segment.
repeated VideoSegment segments = 1;
// If label detection has been requested, what labels should be detected
// in addition to video-level labels or segment-level labels. If unspecified,
// defaults to `SHOT_MODE`.
LabelDetectionMode label_detection_mode = 2;
// Whether the video has been shot from a stationary (i.e. non-moving) camera.
// When set to true, might improve detection accuracy for moving objects.
bool stationary_camera = 3;
// Model to use for label detection.
// Supported values: "latest" and "stable" (the default).
string label_detection_model = 4;
// Model to use for face detection.
// Supported values: "latest" and "stable" (the default).
string face_detection_model = 5;
// Model to use for shot change detection.
// Supported values: "latest" and "stable" (the default).
string shot_change_detection_model = 6;
// Model to use for safe search detection.
// Supported values: "latest" and "stable" (the default).
string safe_search_detection_model = 7;
}
// Video segment.
message VideoSegment {
// Start offset in microseconds (inclusive). Unset means 0.
int64 start_time_offset = 1;
// End offset in microseconds (inclusive). Unset means 0.
int64 end_time_offset = 2;
}
// Label location.
message LabelLocation {
// Video segment. Set to [-1, -1] for video-level labels.
// Set to [timestamp, timestamp] for frame-level labels.
// Otherwise, corresponds to one of `AnnotateSpec.segments`
// (if specified) or to shot boundaries (if requested).
VideoSegment segment = 1;
// Confidence that the label is accurate. Range: [0, 1].
float confidence = 2;
// Label level.
LabelLevel level = 3;
}
// Label annotation.
message LabelAnnotation {
// Textual description, e.g. `Fixed-gear bicycle`.
string description = 1;
// Language code for `description` in BCP-47 format.
string language_code = 2;
// Where the label was detected and with what confidence.
repeated LabelLocation locations = 3;
}
// Safe search annotation (based on per-frame visual signals only).
// If no unsafe content has been detected in a frame, no annotations
// are present for that frame. If only some types of unsafe content
// have been detected in a frame, the likelihood is set to `UNKNOWN`
// for all other types of unsafe content.
message SafeSearchAnnotation {
// Likelihood of adult content.
Likelihood adult = 1;
// Likelihood that an obvious modification was made to the original
// version to make it appear funny or offensive.
Likelihood spoof = 2;
// Likelihood of medical content.
Likelihood medical = 3;
// Likelihood of violent content.
Likelihood violent = 4;
// Likelihood of racy content.
Likelihood racy = 5;
// Video time offset in microseconds.
int64 time_offset = 6;
}
// Bounding box.
message BoundingBox {
// Left X coordinate.
int32 left = 1;
// Right X coordinate.
int32 right = 2;
// Bottom Y coordinate.
int32 bottom = 3;
// Top Y coordinate.
int32 top = 4;
}
// Face location.
message FaceLocation {
// Bounding box in a frame.
BoundingBox bounding_box = 1;
// Video time offset in microseconds.
int64 time_offset = 2;
}
// Face annotation.
message FaceAnnotation {
// Thumbnail of a representative face view (in JPEG format). Encoding: base64.
string thumbnail = 1;
// All locations where a face was detected.
// Faces are detected and tracked on a per-video basis
// (as opposed to across multiple videos).
repeated VideoSegment segments = 2;
// Face locations at one frame per second.
repeated FaceLocation locations = 3;
}
// Annotation results for a single video.
message VideoAnnotationResults {
// Video file location in
// [Google Cloud Storage](https://cloud.google.com/storage/).
string input_uri = 1;
// Label annotations. There is exactly one element for each unique label.
repeated LabelAnnotation label_annotations = 2;
// Face annotations. There is exactly one element for each unique face.
repeated FaceAnnotation face_annotations = 3;
// Shot annotations. Each shot is represented as a video segment.
repeated VideoSegment shot_annotations = 4;
// Safe search annotations.
repeated SafeSearchAnnotation safe_search_annotations = 6;
// If set, indicates an error. Note that for a single `AnnotateVideoRequest`
// some videos may succeed and some may fail.
google.rpc.Status error = 5;
}
// Video annotation response. Included in the `response`
// field of the `Operation` returned by the `GetOperation`
// call of the `google::longrunning::Operations` service.
message AnnotateVideoResponse {
// Annotation results for all videos specified in `AnnotateVideoRequest`.
repeated VideoAnnotationResults annotation_results = 1;
}
// Annotation progress for a single video.
message VideoAnnotationProgress {
// Video file location in
// [Google Cloud Storage](https://cloud.google.com/storage/).
string input_uri = 1;
// Approximate percentage processed thus far.
// Guaranteed to be 100 when fully processed.
int32 progress_percent = 2;
// Time when the request was received.
google.protobuf.Timestamp start_time = 3;
// Time of the most recent update.
google.protobuf.Timestamp update_time = 4;
}
// Video annotation progress. Included in the `metadata`
// field of the `Operation` returned by the `GetOperation`
// call of the `google::longrunning::Operations` service.
message AnnotateVideoProgress {
// Progress metadata for all videos specified in `AnnotateVideoRequest`.
repeated VideoAnnotationProgress annotation_progress = 1;
}
// Video annotation feature.
enum Feature {
// Unspecified.
FEATURE_UNSPECIFIED = 0;
// Label detection. Detect objects, such as dog or flower.
LABEL_DETECTION = 1;
// Human face detection and tracking.
FACE_DETECTION = 2;
// Shot change detection.
SHOT_CHANGE_DETECTION = 3;
// Safe search detection.
SAFE_SEARCH_DETECTION = 4;
}
// Label level (scope).
enum LabelLevel {
// Unspecified.
LABEL_LEVEL_UNSPECIFIED = 0;
// Video-level. Corresponds to the whole video.
VIDEO_LEVEL = 1;
// Segment-level. Corresponds to one of `AnnotateSpec.segments`.
SEGMENT_LEVEL = 2;
// Shot-level. Corresponds to a single shot (i.e. a series of frames
// without a major camera position or background change).
SHOT_LEVEL = 3;
// Frame-level. Corresponds to a single video frame.
FRAME_LEVEL = 4;
}
// Label detection mode.
enum LabelDetectionMode {
// Unspecified.
LABEL_DETECTION_MODE_UNSPECIFIED = 0;
// Detect shot-level labels.
SHOT_MODE = 1;
// Detect frame-level labels.
FRAME_MODE = 2;
// Detect both shot-level and frame-level labels.
SHOT_AND_FRAME_MODE = 3;
}
// Bucketized representation of likelihood.
enum Likelihood {
// Unknown likelihood.
UNKNOWN = 0;
// Very unlikely.
VERY_UNLIKELY = 1;
// Unlikely.
UNLIKELY = 2;
// Possible.
POSSIBLE = 3;
// Likely.
LIKELY = 4;
// Very likely.
VERY_LIKELY = 5;
}

View File

@@ -0,0 +1,392 @@
// Copyright 2017 Google Inc.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
syntax = "proto3";
package google.cloud.videointelligence.v1beta2;
import "google/api/annotations.proto";
import "google/longrunning/operations.proto";
import "google/protobuf/duration.proto";
import "google/protobuf/timestamp.proto";
import "google/rpc/status.proto";
option csharp_namespace = "Google.Cloud.VideoIntelligence.V1Beta2";
option go_package = "google.golang.org/genproto/googleapis/cloud/videointelligence/v1beta2;videointelligence";
option java_multiple_files = true;
option java_outer_classname = "VideoIntelligenceServiceProto";
option java_package = "com.google.cloud.videointelligence.v1beta2";
option php_namespace = "Google\\Cloud\\VideoIntelligence\\V1beta2";
// Service that implements Google Cloud Video Intelligence API.
service VideoIntelligenceService {
// Performs asynchronous video annotation. Progress and results can be
// retrieved through the `google.longrunning.Operations` interface.
// `Operation.metadata` contains `AnnotateVideoProgress` (progress).
// `Operation.response` contains `AnnotateVideoResponse` (results).
rpc AnnotateVideo(AnnotateVideoRequest) returns (google.longrunning.Operation) {
option (google.api.http) = { post: "/v1beta2/videos:annotate" body: "*" };
}
}
// Video annotation request.
message AnnotateVideoRequest {
// Input video location. Currently, only
// [Google Cloud Storage](https://cloud.google.com/storage/) URIs are
// supported, which must be specified in the following format:
// `gs://bucket-id/object-id` (other URI formats return
// [google.rpc.Code.INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT]). For more information, see
// [Request URIs](/storage/docs/reference-uris).
// A video URI may include wildcards in `object-id`, and thus identify
// multiple videos. Supported wildcards: '*' to match 0 or more characters;
// '?' to match 1 character. If unset, the input video should be embedded
// in the request as `input_content`. If set, `input_content` should be unset.
string input_uri = 1;
// The video data bytes.
// If unset, the input video(s) should be specified via `input_uri`.
// If set, `input_uri` should be unset.
bytes input_content = 6;
// Requested video annotation features.
repeated Feature features = 2;
// Additional video context and/or feature-specific parameters.
VideoContext video_context = 3;
// Optional location where the output (in JSON format) should be stored.
// Currently, only [Google Cloud Storage](https://cloud.google.com/storage/)
// URIs are supported, which must be specified in the following format:
// `gs://bucket-id/object-id` (other URI formats return
// [google.rpc.Code.INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT]). For more information, see
// [Request URIs](/storage/docs/reference-uris).
string output_uri = 4;
// Optional cloud region where annotation should take place. Supported cloud
// regions: `us-east1`, `us-west1`, `europe-west1`, `asia-east1`. If no region
// is specified, a region will be determined based on video file location.
string location_id = 5;
}
// Video context and/or feature-specific parameters.
message VideoContext {
// Video segments to annotate. The segments may overlap and are not required
// to be contiguous or span the whole video. If unspecified, each video
// is treated as a single segment.
repeated VideoSegment segments = 1;
// Config for LABEL_DETECTION.
LabelDetectionConfig label_detection_config = 2;
// Config for SHOT_CHANGE_DETECTION.
ShotChangeDetectionConfig shot_change_detection_config = 3;
// Config for EXPLICIT_CONTENT_DETECTION.
ExplicitContentDetectionConfig explicit_content_detection_config = 4;
// Config for FACE_DETECTION.
FaceDetectionConfig face_detection_config = 5;
}
// Config for LABEL_DETECTION.
message LabelDetectionConfig {
// What labels should be detected with LABEL_DETECTION, in addition to
// video-level labels or segment-level labels.
// If unspecified, defaults to `SHOT_MODE`.
LabelDetectionMode label_detection_mode = 1;
// Whether the video has been shot from a stationary (i.e. non-moving) camera.
// When set to true, might improve detection accuracy for moving objects.
// Should be used with `SHOT_AND_FRAME_MODE` enabled.
bool stationary_camera = 2;
// Model to use for label detection.
// Supported values: "builtin/stable" (the default if unset) and
// "builtin/latest".
string model = 3;
}
// Config for SHOT_CHANGE_DETECTION.
message ShotChangeDetectionConfig {
// Model to use for shot change detection.
// Supported values: "builtin/stable" (the default if unset) and
// "builtin/latest".
string model = 1;
}
// Config for EXPLICIT_CONTENT_DETECTION.
message ExplicitContentDetectionConfig {
// Model to use for explicit content detection.
// Supported values: "builtin/stable" (the default if unset) and
// "builtin/latest".
string model = 1;
}
// Config for FACE_DETECTION.
message FaceDetectionConfig {
// Model to use for face detection.
// Supported values: "builtin/stable" (the default if unset) and
// "builtin/latest".
string model = 1;
// Whether bounding boxes be included in the face annotation output.
bool include_bounding_boxes = 2;
}
// Video segment.
message VideoSegment {
// Time-offset, relative to the beginning of the video,
// corresponding to the start of the segment (inclusive).
google.protobuf.Duration start_time_offset = 1;
// Time-offset, relative to the beginning of the video,
// corresponding to the end of the segment (inclusive).
google.protobuf.Duration end_time_offset = 2;
}
// Video segment level annotation results for label detection.
message LabelSegment {
// Video segment where a label was detected.
VideoSegment segment = 1;
// Confidence that the label is accurate. Range: [0, 1].
float confidence = 2;
}
// Video frame level annotation results for label detection.
message LabelFrame {
// Time-offset, relative to the beginning of the video, corresponding to the
// video frame for this location.
google.protobuf.Duration time_offset = 1;
// Confidence that the label is accurate. Range: [0, 1].
float confidence = 2;
}
// Detected entity from video analysis.
message Entity {
// Opaque entity ID. Some IDs may be available in
// [Google Knowledge Graph Search
// API](https://developers.google.com/knowledge-graph/).
string entity_id = 1;
// Textual description, e.g. `Fixed-gear bicycle`.
string description = 2;
// Language code for `description` in BCP-47 format.
string language_code = 3;
}
// Label annotation.
message LabelAnnotation {
// Detected entity.
Entity entity = 1;
// Common categories for the detected entity.
// E.g. when the label is `Terrier` the category is likely `dog`. And in some
// cases there might be more than one categories e.g. `Terrier` could also be
// a `pet`.
repeated Entity category_entities = 2;
// All video segments where a label was detected.
repeated LabelSegment segments = 3;
// All video frames where a label was detected.
repeated LabelFrame frames = 4;
}
// Video frame level annotation results for explicit content.
message ExplicitContentFrame {
// Time-offset, relative to the beginning of the video, corresponding to the
// video frame for this location.
google.protobuf.Duration time_offset = 1;
// Likelihood of the pornography content..
Likelihood pornography_likelihood = 2;
}
// Explicit content annotation (based on per-frame visual signals only).
// If no explicit content has been detected in a frame, no annotations are
// present for that frame.
message ExplicitContentAnnotation {
// All video frames where explicit content was detected.
repeated ExplicitContentFrame frames = 1;
}
// Normalized bounding box.
// The normalized vertex coordinates are relative to the original image.
// Range: [0, 1].
message NormalizedBoundingBox {
// Left X coordinate.
float left = 1;
// Top Y coordinate.
float top = 2;
// Right X coordinate.
float right = 3;
// Bottom Y coordinate.
float bottom = 4;
}
// Video segment level annotation results for face detection.
message FaceSegment {
// Video segment where a face was detected.
VideoSegment segment = 1;
}
// Video frame level annotation results for face detection.
message FaceFrame {
// Normalized Bounding boxes in a frame.
// There can be more than one boxes if the same face is detected in multiple
// locations within the current frame.
repeated NormalizedBoundingBox normalized_bounding_boxes = 1;
// Time-offset, relative to the beginning of the video,
// corresponding to the video frame for this location.
google.protobuf.Duration time_offset = 2;
}
// Face annotation.
message FaceAnnotation {
// Thumbnail of a representative face view (in JPEG format).
bytes thumbnail = 1;
// All video segments where a face was detected.
repeated FaceSegment segments = 2;
// All video frames where a face was detected.
repeated FaceFrame frames = 3;
}
// Annotation results for a single video.
message VideoAnnotationResults {
// Video file location in
// [Google Cloud Storage](https://cloud.google.com/storage/).
string input_uri = 1;
// Label annotations on video level or user specified segment level.
// There is exactly one element for each unique label.
repeated LabelAnnotation segment_label_annotations = 2;
// Label annotations on shot level.
// There is exactly one element for each unique label.
repeated LabelAnnotation shot_label_annotations = 3;
// Label annotations on frame level.
// There is exactly one element for each unique label.
repeated LabelAnnotation frame_label_annotations = 4;
// Face annotations. There is exactly one element for each unique face.
repeated FaceAnnotation face_annotations = 5;
// Shot annotations. Each shot is represented as a video segment.
repeated VideoSegment shot_annotations = 6;
// Explicit content annotation.
ExplicitContentAnnotation explicit_annotation = 7;
// If set, indicates an error. Note that for a single `AnnotateVideoRequest`
// some videos may succeed and some may fail.
google.rpc.Status error = 9;
}
// Video annotation response. Included in the `response`
// field of the `Operation` returned by the `GetOperation`
// call of the `google::longrunning::Operations` service.
message AnnotateVideoResponse {
// Annotation results for all videos specified in `AnnotateVideoRequest`.
repeated VideoAnnotationResults annotation_results = 1;
}
// Annotation progress for a single video.
message VideoAnnotationProgress {
// Video file location in
// [Google Cloud Storage](https://cloud.google.com/storage/).
string input_uri = 1;
// Approximate percentage processed thus far.
// Guaranteed to be 100 when fully processed.
int32 progress_percent = 2;
// Time when the request was received.
google.protobuf.Timestamp start_time = 3;
// Time of the most recent update.
google.protobuf.Timestamp update_time = 4;
}
// Video annotation progress. Included in the `metadata`
// field of the `Operation` returned by the `GetOperation`
// call of the `google::longrunning::Operations` service.
message AnnotateVideoProgress {
// Progress metadata for all videos specified in `AnnotateVideoRequest`.
repeated VideoAnnotationProgress annotation_progress = 1;
}
// Video annotation feature.
enum Feature {
// Unspecified.
FEATURE_UNSPECIFIED = 0;
// Label detection. Detect objects, such as dog or flower.
LABEL_DETECTION = 1;
// Shot change detection.
SHOT_CHANGE_DETECTION = 2;
// Explicit content detection.
EXPLICIT_CONTENT_DETECTION = 3;
// Human face detection and tracking.
FACE_DETECTION = 4;
}
// Label detection mode.
enum LabelDetectionMode {
// Unspecified.
LABEL_DETECTION_MODE_UNSPECIFIED = 0;
// Detect shot-level labels.
SHOT_MODE = 1;
// Detect frame-level labels.
FRAME_MODE = 2;
// Detect both shot-level and frame-level labels.
SHOT_AND_FRAME_MODE = 3;
}
// Bucketized representation of likelihood.
enum Likelihood {
// Unspecified likelihood.
LIKELIHOOD_UNSPECIFIED = 0;
// Very unlikely.
VERY_UNLIKELY = 1;
// Unlikely.
UNLIKELY = 2;
// Possible.
POSSIBLE = 3;
// Likely.
LIKELY = 4;
// Very likely.
VERY_LIKELY = 5;
}

View File

@@ -0,0 +1,433 @@
// Copyright 2018 Google Inc.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
syntax = "proto3";
package google.cloud.videointelligence.v1p1beta1;
import "google/api/annotations.proto";
import "google/longrunning/operations.proto";
import "google/protobuf/duration.proto";
import "google/protobuf/timestamp.proto";
import "google/rpc/status.proto";
option csharp_namespace = "Google.Cloud.VideoIntelligence.V1P1Beta1";
option go_package = "google.golang.org/genproto/googleapis/cloud/videointelligence/v1p1beta1;videointelligence";
option java_multiple_files = true;
option java_outer_classname = "VideoIntelligenceServiceProto";
option java_package = "com.google.cloud.videointelligence.v1p1beta1";
option php_namespace = "Google\\Cloud\\VideoIntelligence\\V1p1beta1";
// Service that implements Google Cloud Video Intelligence API.
service VideoIntelligenceService {
// Performs asynchronous video annotation. Progress and results can be
// retrieved through the `google.longrunning.Operations` interface.
// `Operation.metadata` contains `AnnotateVideoProgress` (progress).
// `Operation.response` contains `AnnotateVideoResponse` (results).
rpc AnnotateVideo(AnnotateVideoRequest) returns (google.longrunning.Operation) {
option (google.api.http) = {
post: "/v1p1beta1/videos:annotate"
body: "*"
};
}
}
// Video annotation request.
message AnnotateVideoRequest {
// Input video location. Currently, only
// [Google Cloud Storage](https://cloud.google.com/storage/) URIs are
// supported, which must be specified in the following format:
// `gs://bucket-id/object-id` (other URI formats return
// [google.rpc.Code.INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT]). For more information, see
// [Request URIs](/storage/docs/reference-uris).
// A video URI may include wildcards in `object-id`, and thus identify
// multiple videos. Supported wildcards: '*' to match 0 or more characters;
// '?' to match 1 character. If unset, the input video should be embedded
// in the request as `input_content`. If set, `input_content` should be unset.
string input_uri = 1;
// The video data bytes.
// If unset, the input video(s) should be specified via `input_uri`.
// If set, `input_uri` should be unset.
bytes input_content = 6;
// Requested video annotation features.
repeated Feature features = 2;
// Additional video context and/or feature-specific parameters.
VideoContext video_context = 3;
// Optional location where the output (in JSON format) should be stored.
// Currently, only [Google Cloud Storage](https://cloud.google.com/storage/)
// URIs are supported, which must be specified in the following format:
// `gs://bucket-id/object-id` (other URI formats return
// [google.rpc.Code.INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT]). For more information, see
// [Request URIs](/storage/docs/reference-uris).
string output_uri = 4;
// Optional cloud region where annotation should take place. Supported cloud
// regions: `us-east1`, `us-west1`, `europe-west1`, `asia-east1`. If no region
// is specified, a region will be determined based on video file location.
string location_id = 5;
}
// Video context and/or feature-specific parameters.
message VideoContext {
// Video segments to annotate. The segments may overlap and are not required
// to be contiguous or span the whole video. If unspecified, each video is
// treated as a single segment.
repeated VideoSegment segments = 1;
// Config for LABEL_DETECTION.
LabelDetectionConfig label_detection_config = 2;
// Config for SHOT_CHANGE_DETECTION.
ShotChangeDetectionConfig shot_change_detection_config = 3;
// Config for EXPLICIT_CONTENT_DETECTION.
ExplicitContentDetectionConfig explicit_content_detection_config = 4;
// Config for SPEECH_TRANSCRIPTION.
SpeechTranscriptionConfig speech_transcription_config = 6;
}
// Config for LABEL_DETECTION.
message LabelDetectionConfig {
// What labels should be detected with LABEL_DETECTION, in addition to
// video-level labels or segment-level labels.
// If unspecified, defaults to `SHOT_MODE`.
LabelDetectionMode label_detection_mode = 1;
// Whether the video has been shot from a stationary (i.e. non-moving) camera.
// When set to true, might improve detection accuracy for moving objects.
// Should be used with `SHOT_AND_FRAME_MODE` enabled.
bool stationary_camera = 2;
// Model to use for label detection.
// Supported values: "builtin/stable" (the default if unset) and
// "builtin/latest".
string model = 3;
}
// Config for SHOT_CHANGE_DETECTION.
message ShotChangeDetectionConfig {
// Model to use for shot change detection.
// Supported values: "builtin/stable" (the default if unset) and
// "builtin/latest".
string model = 1;
}
// Config for EXPLICIT_CONTENT_DETECTION.
message ExplicitContentDetectionConfig {
// Model to use for explicit content detection.
// Supported values: "builtin/stable" (the default if unset) and
// "builtin/latest".
string model = 1;
}
// Video segment.
message VideoSegment {
// Time-offset, relative to the beginning of the video,
// corresponding to the start of the segment (inclusive).
google.protobuf.Duration start_time_offset = 1;
// Time-offset, relative to the beginning of the video,
// corresponding to the end of the segment (inclusive).
google.protobuf.Duration end_time_offset = 2;
}
// Video segment level annotation results for label detection.
message LabelSegment {
// Video segment where a label was detected.
VideoSegment segment = 1;
// Confidence that the label is accurate. Range: [0, 1].
float confidence = 2;
}
// Video frame level annotation results for label detection.
message LabelFrame {
// Time-offset, relative to the beginning of the video, corresponding to the
// video frame for this location.
google.protobuf.Duration time_offset = 1;
// Confidence that the label is accurate. Range: [0, 1].
float confidence = 2;
}
// Detected entity from video analysis.
message Entity {
// Opaque entity ID. Some IDs may be available in
// [Google Knowledge Graph Search
// API](https://developers.google.com/knowledge-graph/).
string entity_id = 1;
// Textual description, e.g. `Fixed-gear bicycle`.
string description = 2;
// Language code for `description` in BCP-47 format.
string language_code = 3;
}
// Label annotation.
message LabelAnnotation {
// Detected entity.
Entity entity = 1;
// Common categories for the detected entity.
// E.g. when the label is `Terrier` the category is likely `dog`. And in some
// cases there might be more than one categories e.g. `Terrier` could also be
// a `pet`.
repeated Entity category_entities = 2;
// All video segments where a label was detected.
repeated LabelSegment segments = 3;
// All video frames where a label was detected.
repeated LabelFrame frames = 4;
}
// Video frame level annotation results for explicit content.
message ExplicitContentFrame {
// Time-offset, relative to the beginning of the video, corresponding to the
// video frame for this location.
google.protobuf.Duration time_offset = 1;
// Likelihood of the pornography content..
Likelihood pornography_likelihood = 2;
}
// Explicit content annotation (based on per-frame visual signals only).
// If no explicit content has been detected in a frame, no annotations are
// present for that frame.
message ExplicitContentAnnotation {
// All video frames where explicit content was detected.
repeated ExplicitContentFrame frames = 1;
}
// Annotation results for a single video.
message VideoAnnotationResults {
// Output only. Video file location in
// [Google Cloud Storage](https://cloud.google.com/storage/).
string input_uri = 1;
// Label annotations on video level or user specified segment level.
// There is exactly one element for each unique label.
repeated LabelAnnotation segment_label_annotations = 2;
// Label annotations on shot level.
// There is exactly one element for each unique label.
repeated LabelAnnotation shot_label_annotations = 3;
// Label annotations on frame level.
// There is exactly one element for each unique label.
repeated LabelAnnotation frame_label_annotations = 4;
// Shot annotations. Each shot is represented as a video segment.
repeated VideoSegment shot_annotations = 6;
// Explicit content annotation.
ExplicitContentAnnotation explicit_annotation = 7;
// Speech transcription.
repeated SpeechTranscription speech_transcriptions = 11;
// Output only. If set, indicates an error. Note that for a single
// `AnnotateVideoRequest` some videos may succeed and some may fail.
google.rpc.Status error = 9;
}
// Video annotation response. Included in the `response`
// field of the `Operation` returned by the `GetOperation`
// call of the `google::longrunning::Operations` service.
message AnnotateVideoResponse {
// Annotation results for all videos specified in `AnnotateVideoRequest`.
repeated VideoAnnotationResults annotation_results = 1;
}
// Annotation progress for a single video.
message VideoAnnotationProgress {
// Output only. Video file location in
// [Google Cloud Storage](https://cloud.google.com/storage/).
string input_uri = 1;
// Output only. Approximate percentage processed thus far. Guaranteed to be
// 100 when fully processed.
int32 progress_percent = 2;
// Output only. Time when the request was received.
google.protobuf.Timestamp start_time = 3;
// Output only. Time of the most recent update.
google.protobuf.Timestamp update_time = 4;
}
// Video annotation progress. Included in the `metadata`
// field of the `Operation` returned by the `GetOperation`
// call of the `google::longrunning::Operations` service.
message AnnotateVideoProgress {
// Progress metadata for all videos specified in `AnnotateVideoRequest`.
repeated VideoAnnotationProgress annotation_progress = 1;
}
// Config for SPEECH_TRANSCRIPTION.
message SpeechTranscriptionConfig {
// *Required* The language of the supplied audio as a
// [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag.
// Example: "en-US".
// See [Language Support](https://cloud.google.com/speech/docs/languages)
// for a list of the currently supported language codes.
string language_code = 1;
// *Optional* Maximum number of recognition hypotheses to be returned.
// Specifically, the maximum number of `SpeechRecognitionAlternative` messages
// within each `SpeechRecognitionResult`. The server may return fewer than
// `max_alternatives`. Valid values are `0`-`30`. A value of `0` or `1` will
// return a maximum of one. If omitted, will return a maximum of one.
int32 max_alternatives = 2;
// *Optional* If set to `true`, the server will attempt to filter out
// profanities, replacing all but the initial character in each filtered word
// with asterisks, e.g. "f***". If set to `false` or omitted, profanities
// won't be filtered out.
bool filter_profanity = 3;
// *Optional* A means to provide context to assist the speech recognition.
repeated SpeechContext speech_contexts = 4;
// *Optional* If 'true', adds punctuation to recognition result hypotheses.
// This feature is only available in select languages. Setting this for
// requests in other languages has no effect at all. The default 'false' value
// does not add punctuation to result hypotheses. NOTE: "This is currently
// offered as an experimental service, complimentary to all users. In the
// future this may be exclusively available as a premium feature."
bool enable_automatic_punctuation = 5;
// *Optional* For file formats, such as MXF or MKV, supporting multiple audio
// tracks, specify up to two tracks. Default: track 0.
repeated int32 audio_tracks = 6;
}
// Provides "hints" to the speech recognizer to favor specific words and phrases
// in the results.
message SpeechContext {
// *Optional* A list of strings containing words and phrases "hints" so that
// the speech recognition is more likely to recognize them. This can be used
// to improve the accuracy for specific words and phrases, for example, if
// specific commands are typically spoken by the user. This can also be used
// to add additional words to the vocabulary of the recognizer. See
// [usage limits](https://cloud.google.com/speech/limits#content).
repeated string phrases = 1;
}
// A speech recognition result corresponding to a portion of the audio.
message SpeechTranscription {
// Output only. May contain one or more recognition hypotheses (up to the
// maximum specified in `max_alternatives`).
// These alternatives are ordered in terms of accuracy, with the top (first)
// alternative being the most probable, as ranked by the recognizer.
repeated SpeechRecognitionAlternative alternatives = 1;
}
// Alternative hypotheses (a.k.a. n-best list).
message SpeechRecognitionAlternative {
// Output only. Transcript text representing the words that the user spoke.
string transcript = 1;
// Output only. The confidence estimate between 0.0 and 1.0. A higher number
// indicates an estimated greater likelihood that the recognized words are
// correct. This field is typically provided only for the top hypothesis, and
// only for `is_final=true` results. Clients should not rely on the
// `confidence` field as it is not guaranteed to be accurate or consistent.
// The default of 0.0 is a sentinel value indicating `confidence` was not set.
float confidence = 2;
// Output only. A list of word-specific information for each recognized word.
repeated WordInfo words = 3;
}
// Word-specific information for recognized words. Word information is only
// included in the response when certain request parameters are set, such
// as `enable_word_time_offsets`.
message WordInfo {
// Output only. Time offset relative to the beginning of the audio, and
// corresponding to the start of the spoken word. This field is only set if
// `enable_word_time_offsets=true` and only in the top hypothesis. This is an
// experimental feature and the accuracy of the time offset can vary.
google.protobuf.Duration start_time = 1;
// Output only. Time offset relative to the beginning of the audio, and
// corresponding to the end of the spoken word. This field is only set if
// `enable_word_time_offsets=true` and only in the top hypothesis. This is an
// experimental feature and the accuracy of the time offset can vary.
google.protobuf.Duration end_time = 2;
// Output only. The word corresponding to this set of information.
string word = 3;
}
// Video annotation feature.
enum Feature {
// Unspecified.
FEATURE_UNSPECIFIED = 0;
// Label detection. Detect objects, such as dog or flower.
LABEL_DETECTION = 1;
// Shot change detection.
SHOT_CHANGE_DETECTION = 2;
// Explicit content detection.
EXPLICIT_CONTENT_DETECTION = 3;
// Speech transcription.
SPEECH_TRANSCRIPTION = 6;
}
// Label detection mode.
enum LabelDetectionMode {
// Unspecified.
LABEL_DETECTION_MODE_UNSPECIFIED = 0;
// Detect shot-level labels.
SHOT_MODE = 1;
// Detect frame-level labels.
FRAME_MODE = 2;
// Detect both shot-level and frame-level labels.
SHOT_AND_FRAME_MODE = 3;
}
// Bucketized representation of likelihood.
enum Likelihood {
// Unspecified likelihood.
LIKELIHOOD_UNSPECIFIED = 0;
// Very unlikely.
VERY_UNLIKELY = 1;
// Unlikely.
UNLIKELY = 2;
// Possible.
POSSIBLE = 3;
// Likely.
LIKELY = 4;
// Very likely.
VERY_LIKELY = 5;
}