# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler.  DO NOT EDIT!
# source: google/cloud/videointelligence_v1beta2/proto/video_intelligence.proto

import sys

_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
from google.protobuf.internal import enum_type_wrapper
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database

# @@protoc_insertion_point(imports)

_sym_db = _symbol_database.Default()


from google.api import annotations_pb2 as google_dot_api_dot_annotations__pb2
from google.longrunning import (
    operations_pb2 as google_dot_longrunning_dot_operations__pb2,
)
from google.protobuf import duration_pb2 as google_dot_protobuf_dot_duration__pb2
from google.protobuf import timestamp_pb2 as google_dot_protobuf_dot_timestamp__pb2
from google.rpc import status_pb2 as google_dot_rpc_dot_status__pb2


DESCRIPTOR = _descriptor.FileDescriptor(
    name="google/cloud/videointelligence_v1beta2/proto/video_intelligence.proto",
    package="google.cloud.videointelligence.v1beta2",
    syntax="proto3",
    serialized_options=_b(
        "\n*com.google.cloud.videointelligence.v1beta2B\035VideoIntelligenceServiceProtoP\001ZWgoogle.golang.org/genproto/googleapis/cloud/videointelligence/v1beta2;videointelligence\252\002&Google.Cloud.VideoIntelligence.V1Beta2\312\002&Google\\Cloud\\VideoIntelligence\\V1beta2\352\002)Google::Cloud::VideoIntelligence::V1beta2"
    ),
    serialized_pb=_b(
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\x01(\x0b\x32\x41.google.cloud.videointelligence.v1beta2.ShotChangeDetectionConfig\x12q\n!explicit_content_detection_config\x18\x04 \x01(\x0b\x32\x46.google.cloud.videointelligence.v1beta2.ExplicitContentDetectionConfig\x12Z\n\x15\x66\x61\x63\x65_detection_config\x18\x05 \x01(\x0b\x32;.google.cloud.videointelligence.v1beta2.FaceDetectionConfig"\x9a\x01\n\x14LabelDetectionConfig\x12X\n\x14label_detection_mode\x18\x01 \x01(\x0e\x32:.google.cloud.videointelligence.v1beta2.LabelDetectionMode\x12\x19\n\x11stationary_camera\x18\x02 \x01(\x08\x12\r\n\x05model\x18\x03 \x01(\t"*\n\x19ShotChangeDetectionConfig\x12\r\n\x05model\x18\x01 \x01(\t"/\n\x1e\x45xplicitContentDetectionConfig\x12\r\n\x05model\x18\x01 \x01(\t"D\n\x13\x46\x61\x63\x65\x44\x65tectionConfig\x12\r\n\x05model\x18\x01 \x01(\t\x12\x1e\n\x16include_bounding_boxes\x18\x02 \x01(\x08"x\n\x0cVideoSegment\x12\x34\n\x11start_time_offset\x18\x01 \x01(\x0b\x32\x19.google.protobuf.Duration\x12\x32\n\x0f\x65nd_time_offset\x18\x02 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\x01(\x0b\x32\x12.google.rpc.Status"s\n\x15\x41nnotateVideoResponse\x12Z\n\x12\x61nnotation_results\x18\x01 \x03(\x0b\x32>.google.cloud.videointelligence.v1beta2.VideoAnnotationResults"\xa7\x01\n\x17VideoAnnotationProgress\x12\x11\n\tinput_uri\x18\x01 \x01(\t\x12\x18\n\x10progress_percent\x18\x02 \x01(\x05\x12.\n\nstart_time\x18\x03 \x01(\x0b\x32\x1a.google.protobuf.Timestamp\x12/\n\x0bupdate_time\x18\x04 \x01(\x0b\x32\x1a.google.protobuf.Timestamp"u\n\x15\x41nnotateVideoProgress\x12\\\n\x13\x61nnotation_progress\x18\x01 \x03(\x0b\x32?.google.cloud.videointelligence.v1beta2.VideoAnnotationProgress*\x86\x01\n\x07\x46\x65\x61ture\x12\x17\n\x13\x46\x45\x41TURE_UNSPECIFIED\x10\x00\x12\x13\n\x0fLABEL_DETECTION\x10\x01\x12\x19\n\x15SHOT_CHANGE_DETECTION\x10\x02\x12\x1e\n\x1a\x45XPLICIT_CONTENT_DETECTION\x10\x03\x12\x12\n\x0e\x46\x41\x43\x45_DETECTION\x10\x04*r\n\x12LabelDetectionMode\x12$\n LABEL_DETECTION_MODE_UNSPECIFIED\x10\x00\x12\r\n\tSHOT_MODE\x10\x01\x12\x0e\n\nFRAME_MODE\x10\x02\x12\x17\n\x13SHOT_AND_FRAME_MODE\x10\x03*t\n\nLikelihood\x12\x1a\n\x16LIKELIHOOD_UNSPECIFIED\x10\x00\x12\x11\n\rVERY_UNLIKELY\x10\x01\x12\x0c\n\x08UNLIKELY\x10\x02\x12\x0c\n\x08POSSIBLE\x10\x03\x12\n\n\x06LIKELY\x10\x04\x12\x0f\n\x0bVERY_LIKELY\x10\x05\x32\xae\x01\n\x18VideoIntelligenceService\x12\x91\x01\n\rAnnotateVideo\x12<.google.cloud.videointelligence.v1beta2.AnnotateVideoRequest\x1a\x1d.google.longrunning.Operation"#\x82\xd3\xe4\x93\x02\x1d"\x18/v1beta2/videos:annotate:\x01*B\xa4\x02\n*com.google.cloud.videointelligence.v1beta2B\x1dVideoIntelligenceServiceProtoP\x01ZWgoogle.golang.org/genproto/googleapis/cloud/videointelligence/v1beta2;videointelligence\xaa\x02&Google.Cloud.VideoIntelligence.V1Beta2\xca\x02&Google\\Cloud\\VideoIntelligence\\V1beta2\xea\x02)Google::Cloud::VideoIntelligence::V1beta2b\x06proto3'
    ),
    dependencies=[
        google_dot_api_dot_annotations__pb2.DESCRIPTOR,
        google_dot_longrunning_dot_operations__pb2.DESCRIPTOR,
        google_dot_protobuf_dot_duration__pb2.DESCRIPTOR,
        google_dot_protobuf_dot_timestamp__pb2.DESCRIPTOR,
        google_dot_rpc_dot_status__pb2.DESCRIPTOR,
    ],
)

_FEATURE = _descriptor.EnumDescriptor(
    name="Feature",
    full_name="google.cloud.videointelligence.v1beta2.Feature",
    filename=None,
    file=DESCRIPTOR,
    values=[
        _descriptor.EnumValueDescriptor(
            name="FEATURE_UNSPECIFIED",
            index=0,
            number=0,
            serialized_options=None,
            type=None,
        ),
        _descriptor.EnumValueDescriptor(
            name="LABEL_DETECTION",
            index=1,
            number=1,
            serialized_options=None,
            type=None,
        ),
        _descriptor.EnumValueDescriptor(
            name="SHOT_CHANGE_DETECTION",
            index=2,
            number=2,
            serialized_options=None,
            type=None,
        ),
        _descriptor.EnumValueDescriptor(
            name="EXPLICIT_CONTENT_DETECTION",
            index=3,
            number=3,
            serialized_options=None,
            type=None,
        ),
        _descriptor.EnumValueDescriptor(
            name="FACE_DETECTION", index=4, number=4, serialized_options=None, type=None
        ),
    ],
    containing_type=None,
    serialized_options=None,
    serialized_start=3806,
    serialized_end=3940,
)
_sym_db.RegisterEnumDescriptor(_FEATURE)

Feature = enum_type_wrapper.EnumTypeWrapper(_FEATURE)
_LABELDETECTIONMODE = _descriptor.EnumDescriptor(
    name="LabelDetectionMode",
    full_name="google.cloud.videointelligence.v1beta2.LabelDetectionMode",
    filename=None,
    file=DESCRIPTOR,
    values=[
        _descriptor.EnumValueDescriptor(
            name="LABEL_DETECTION_MODE_UNSPECIFIED",
            index=0,
            number=0,
            serialized_options=None,
            type=None,
        ),
        _descriptor.EnumValueDescriptor(
            name="SHOT_MODE", index=1, number=1, serialized_options=None, type=None
        ),
        _descriptor.EnumValueDescriptor(
            name="FRAME_MODE", index=2, number=2, serialized_options=None, type=None
        ),
        _descriptor.EnumValueDescriptor(
            name="SHOT_AND_FRAME_MODE",
            index=3,
            number=3,
            serialized_options=None,
            type=None,
        ),
    ],
    containing_type=None,
    serialized_options=None,
    serialized_start=3942,
    serialized_end=4056,
)
_sym_db.RegisterEnumDescriptor(_LABELDETECTIONMODE)

LabelDetectionMode = enum_type_wrapper.EnumTypeWrapper(_LABELDETECTIONMODE)
_LIKELIHOOD = _descriptor.EnumDescriptor(
    name="Likelihood",
    full_name="google.cloud.videointelligence.v1beta2.Likelihood",
    filename=None,
    file=DESCRIPTOR,
    values=[
        _descriptor.EnumValueDescriptor(
            name="LIKELIHOOD_UNSPECIFIED",
            index=0,
            number=0,
            serialized_options=None,
            type=None,
        ),
        _descriptor.EnumValueDescriptor(
            name="VERY_UNLIKELY", index=1, number=1, serialized_options=None, type=None
        ),
        _descriptor.EnumValueDescriptor(
            name="UNLIKELY", index=2, number=2, serialized_options=None, type=None
        ),
        _descriptor.EnumValueDescriptor(
            name="POSSIBLE", index=3, number=3, serialized_options=None, type=None
        ),
        _descriptor.EnumValueDescriptor(
            name="LIKELY", index=4, number=4, serialized_options=None, type=None
        ),
        _descriptor.EnumValueDescriptor(
            name="VERY_LIKELY", index=5, number=5, serialized_options=None, type=None
        ),
    ],
    containing_type=None,
    serialized_options=None,
    serialized_start=4058,
    serialized_end=4174,
)
_sym_db.RegisterEnumDescriptor(_LIKELIHOOD)

Likelihood = enum_type_wrapper.EnumTypeWrapper(_LIKELIHOOD)
FEATURE_UNSPECIFIED = 0
LABEL_DETECTION = 1
SHOT_CHANGE_DETECTION = 2
EXPLICIT_CONTENT_DETECTION = 3
FACE_DETECTION = 4
LABEL_DETECTION_MODE_UNSPECIFIED = 0
SHOT_MODE = 1
FRAME_MODE = 2
SHOT_AND_FRAME_MODE = 3
LIKELIHOOD_UNSPECIFIED = 0
VERY_UNLIKELY = 1
UNLIKELY = 2
POSSIBLE = 3
LIKELY = 4
VERY_LIKELY = 5


_ANNOTATEVIDEOREQUEST = _descriptor.Descriptor(
    name="AnnotateVideoRequest",
    full_name="google.cloud.videointelligence.v1beta2.AnnotateVideoRequest",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="input_uri",
            full_name="google.cloud.videointelligence.v1beta2.AnnotateVideoRequest.input_uri",
            index=0,
            number=1,
            type=9,
            cpp_type=9,
            label=1,
            has_default_value=False,
            default_value=_b("").decode("utf-8"),
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="input_content",
            full_name="google.cloud.videointelligence.v1beta2.AnnotateVideoRequest.input_content",
            index=1,
            number=6,
            type=12,
            cpp_type=9,
            label=1,
            has_default_value=False,
            default_value=_b(""),
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="features",
            full_name="google.cloud.videointelligence.v1beta2.AnnotateVideoRequest.features",
            index=2,
            number=2,
            type=14,
            cpp_type=8,
            label=3,
            has_default_value=False,
            default_value=[],
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="video_context",
            full_name="google.cloud.videointelligence.v1beta2.AnnotateVideoRequest.video_context",
            index=3,
            number=3,
            type=11,
            cpp_type=10,
            label=1,
            has_default_value=False,
            default_value=None,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="output_uri",
            full_name="google.cloud.videointelligence.v1beta2.AnnotateVideoRequest.output_uri",
            index=4,
            number=4,
            type=9,
            cpp_type=9,
            label=1,
            has_default_value=False,
            default_value=_b("").decode("utf-8"),
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="location_id",
            full_name="google.cloud.videointelligence.v1beta2.AnnotateVideoRequest.location_id",
            index=5,
            number=5,
            type=9,
            cpp_type=9,
            label=1,
            has_default_value=False,
            default_value=_b("").decode("utf-8"),
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
    ],
    extensions=[],
    nested_types=[],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=271,
    serialized_end=520,
)


_VIDEOCONTEXT = _descriptor.Descriptor(
    name="VideoContext",
    full_name="google.cloud.videointelligence.v1beta2.VideoContext",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="segments",
            full_name="google.cloud.videointelligence.v1beta2.VideoContext.segments",
            index=0,
            number=1,
            type=11,
            cpp_type=10,
            label=3,
            has_default_value=False,
            default_value=[],
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="label_detection_config",
            full_name="google.cloud.videointelligence.v1beta2.VideoContext.label_detection_config",
            index=1,
            number=2,
            type=11,
            cpp_type=10,
            label=1,
            has_default_value=False,
            default_value=None,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="shot_change_detection_config",
            full_name="google.cloud.videointelligence.v1beta2.VideoContext.shot_change_detection_config",
            index=2,
            number=3,
            type=11,
            cpp_type=10,
            label=1,
            has_default_value=False,
            default_value=None,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="explicit_content_detection_config",
            full_name="google.cloud.videointelligence.v1beta2.VideoContext.explicit_content_detection_config",
            index=3,
            number=4,
            type=11,
            cpp_type=10,
            label=1,
            has_default_value=False,
            default_value=None,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="face_detection_config",
            full_name="google.cloud.videointelligence.v1beta2.VideoContext.face_detection_config",
            index=4,
            number=5,
            type=11,
            cpp_type=10,
            label=1,
            has_default_value=False,
            default_value=None,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
    ],
    extensions=[],
    nested_types=[],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=523,
    serialized_end=1015,
)


_LABELDETECTIONCONFIG = _descriptor.Descriptor(
    name="LabelDetectionConfig",
    full_name="google.cloud.videointelligence.v1beta2.LabelDetectionConfig",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="label_detection_mode",
            full_name="google.cloud.videointelligence.v1beta2.LabelDetectionConfig.label_detection_mode",
            index=0,
            number=1,
            type=14,
            cpp_type=8,
            label=1,
            has_default_value=False,
            default_value=0,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="stationary_camera",
            full_name="google.cloud.videointelligence.v1beta2.LabelDetectionConfig.stationary_camera",
            index=1,
            number=2,
            type=8,
            cpp_type=7,
            label=1,
            has_default_value=False,
            default_value=False,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="model",
            full_name="google.cloud.videointelligence.v1beta2.LabelDetectionConfig.model",
            index=2,
            number=3,
            type=9,
            cpp_type=9,
            label=1,
            has_default_value=False,
            default_value=_b("").decode("utf-8"),
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
    ],
    extensions=[],
    nested_types=[],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=1018,
    serialized_end=1172,
)


_SHOTCHANGEDETECTIONCONFIG = _descriptor.Descriptor(
    name="ShotChangeDetectionConfig",
    full_name="google.cloud.videointelligence.v1beta2.ShotChangeDetectionConfig",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="model",
            full_name="google.cloud.videointelligence.v1beta2.ShotChangeDetectionConfig.model",
            index=0,
            number=1,
            type=9,
            cpp_type=9,
            label=1,
            has_default_value=False,
            default_value=_b("").decode("utf-8"),
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        )
    ],
    extensions=[],
    nested_types=[],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=1174,
    serialized_end=1216,
)


_EXPLICITCONTENTDETECTIONCONFIG = _descriptor.Descriptor(
    name="ExplicitContentDetectionConfig",
    full_name="google.cloud.videointelligence.v1beta2.ExplicitContentDetectionConfig",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="model",
            full_name="google.cloud.videointelligence.v1beta2.ExplicitContentDetectionConfig.model",
            index=0,
            number=1,
            type=9,
            cpp_type=9,
            label=1,
            has_default_value=False,
            default_value=_b("").decode("utf-8"),
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        )
    ],
    extensions=[],
    nested_types=[],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=1218,
    serialized_end=1265,
)


_FACEDETECTIONCONFIG = _descriptor.Descriptor(
    name="FaceDetectionConfig",
    full_name="google.cloud.videointelligence.v1beta2.FaceDetectionConfig",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="model",
            full_name="google.cloud.videointelligence.v1beta2.FaceDetectionConfig.model",
            index=0,
            number=1,
            type=9,
            cpp_type=9,
            label=1,
            has_default_value=False,
            default_value=_b("").decode("utf-8"),
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="include_bounding_boxes",
            full_name="google.cloud.videointelligence.v1beta2.FaceDetectionConfig.include_bounding_boxes",
            index=1,
            number=2,
            type=8,
            cpp_type=7,
            label=1,
            has_default_value=False,
            default_value=False,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
    ],
    extensions=[],
    nested_types=[],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=1267,
    serialized_end=1335,
)


_VIDEOSEGMENT = _descriptor.Descriptor(
    name="VideoSegment",
    full_name="google.cloud.videointelligence.v1beta2.VideoSegment",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="start_time_offset",
            full_name="google.cloud.videointelligence.v1beta2.VideoSegment.start_time_offset",
            index=0,
            number=1,
            type=11,
            cpp_type=10,
            label=1,
            has_default_value=False,
            default_value=None,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="end_time_offset",
            full_name="google.cloud.videointelligence.v1beta2.VideoSegment.end_time_offset",
            index=1,
            number=2,
            type=11,
            cpp_type=10,
            label=1,
            has_default_value=False,
            default_value=None,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
    ],
    extensions=[],
    nested_types=[],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=1337,
    serialized_end=1457,
)


_LABELSEGMENT = _descriptor.Descriptor(
    name="LabelSegment",
    full_name="google.cloud.videointelligence.v1beta2.LabelSegment",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="segment",
            full_name="google.cloud.videointelligence.v1beta2.LabelSegment.segment",
            index=0,
            number=1,
            type=11,
            cpp_type=10,
            label=1,
            has_default_value=False,
            default_value=None,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="confidence",
            full_name="google.cloud.videointelligence.v1beta2.LabelSegment.confidence",
            index=1,
            number=2,
            type=2,
            cpp_type=6,
            label=1,
            has_default_value=False,
            default_value=float(0),
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
    ],
    extensions=[],
    nested_types=[],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=1459,
    serialized_end=1564,
)


_LABELFRAME = _descriptor.Descriptor(
    name="LabelFrame",
    full_name="google.cloud.videointelligence.v1beta2.LabelFrame",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="time_offset",
            full_name="google.cloud.videointelligence.v1beta2.LabelFrame.time_offset",
            index=0,
            number=1,
            type=11,
            cpp_type=10,
            label=1,
            has_default_value=False,
            default_value=None,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="confidence",
            full_name="google.cloud.videointelligence.v1beta2.LabelFrame.confidence",
            index=1,
            number=2,
            type=2,
            cpp_type=6,
            label=1,
            has_default_value=False,
            default_value=float(0),
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
    ],
    extensions=[],
    nested_types=[],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=1566,
    serialized_end=1646,
)


_ENTITY = _descriptor.Descriptor(
    name="Entity",
    full_name="google.cloud.videointelligence.v1beta2.Entity",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="entity_id",
            full_name="google.cloud.videointelligence.v1beta2.Entity.entity_id",
            index=0,
            number=1,
            type=9,
            cpp_type=9,
            label=1,
            has_default_value=False,
            default_value=_b("").decode("utf-8"),
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="description",
            full_name="google.cloud.videointelligence.v1beta2.Entity.description",
            index=1,
            number=2,
            type=9,
            cpp_type=9,
            label=1,
            has_default_value=False,
            default_value=_b("").decode("utf-8"),
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="language_code",
            full_name="google.cloud.videointelligence.v1beta2.Entity.language_code",
            index=2,
            number=3,
            type=9,
            cpp_type=9,
            label=1,
            has_default_value=False,
            default_value=_b("").decode("utf-8"),
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
    ],
    extensions=[],
    nested_types=[],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=1648,
    serialized_end=1719,
)


_LABELANNOTATION = _descriptor.Descriptor(
    name="LabelAnnotation",
    full_name="google.cloud.videointelligence.v1beta2.LabelAnnotation",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="entity",
            full_name="google.cloud.videointelligence.v1beta2.LabelAnnotation.entity",
            index=0,
            number=1,
            type=11,
            cpp_type=10,
            label=1,
            has_default_value=False,
            default_value=None,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="category_entities",
            full_name="google.cloud.videointelligence.v1beta2.LabelAnnotation.category_entities",
            index=1,
            number=2,
            type=11,
            cpp_type=10,
            label=3,
            has_default_value=False,
            default_value=[],
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="segments",
            full_name="google.cloud.videointelligence.v1beta2.LabelAnnotation.segments",
            index=2,
            number=3,
            type=11,
            cpp_type=10,
            label=3,
            has_default_value=False,
            default_value=[],
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="frames",
            full_name="google.cloud.videointelligence.v1beta2.LabelAnnotation.frames",
            index=3,
            number=4,
            type=11,
            cpp_type=10,
            label=3,
            has_default_value=False,
            default_value=[],
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
    ],
    extensions=[],
    nested_types=[],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=1722,
    serialized_end=2018,
)


_EXPLICITCONTENTFRAME = _descriptor.Descriptor(
    name="ExplicitContentFrame",
    full_name="google.cloud.videointelligence.v1beta2.ExplicitContentFrame",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="time_offset",
            full_name="google.cloud.videointelligence.v1beta2.ExplicitContentFrame.time_offset",
            index=0,
            number=1,
            type=11,
            cpp_type=10,
            label=1,
            has_default_value=False,
            default_value=None,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="pornography_likelihood",
            full_name="google.cloud.videointelligence.v1beta2.ExplicitContentFrame.pornography_likelihood",
            index=1,
            number=2,
            type=14,
            cpp_type=8,
            label=1,
            has_default_value=False,
            default_value=0,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
    ],
    extensions=[],
    nested_types=[],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=2021,
    serialized_end=2175,
)


_EXPLICITCONTENTANNOTATION = _descriptor.Descriptor(
    name="ExplicitContentAnnotation",
    full_name="google.cloud.videointelligence.v1beta2.ExplicitContentAnnotation",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="frames",
            full_name="google.cloud.videointelligence.v1beta2.ExplicitContentAnnotation.frames",
            index=0,
            number=1,
            type=11,
            cpp_type=10,
            label=3,
            has_default_value=False,
            default_value=[],
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        )
    ],
    extensions=[],
    nested_types=[],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=2177,
    serialized_end=2282,
)


_NORMALIZEDBOUNDINGBOX = _descriptor.Descriptor(
    name="NormalizedBoundingBox",
    full_name="google.cloud.videointelligence.v1beta2.NormalizedBoundingBox",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="left",
            full_name="google.cloud.videointelligence.v1beta2.NormalizedBoundingBox.left",
            index=0,
            number=1,
            type=2,
            cpp_type=6,
            label=1,
            has_default_value=False,
            default_value=float(0),
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="top",
            full_name="google.cloud.videointelligence.v1beta2.NormalizedBoundingBox.top",
            index=1,
            number=2,
            type=2,
            cpp_type=6,
            label=1,
            has_default_value=False,
            default_value=float(0),
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="right",
            full_name="google.cloud.videointelligence.v1beta2.NormalizedBoundingBox.right",
            index=2,
            number=3,
            type=2,
            cpp_type=6,
            label=1,
            has_default_value=False,
            default_value=float(0),
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="bottom",
            full_name="google.cloud.videointelligence.v1beta2.NormalizedBoundingBox.bottom",
            index=3,
            number=4,
            type=2,
            cpp_type=6,
            label=1,
            has_default_value=False,
            default_value=float(0),
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
    ],
    extensions=[],
    nested_types=[],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=2284,
    serialized_end=2365,
)


_FACESEGMENT = _descriptor.Descriptor(
    name="FaceSegment",
    full_name="google.cloud.videointelligence.v1beta2.FaceSegment",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="segment",
            full_name="google.cloud.videointelligence.v1beta2.FaceSegment.segment",
            index=0,
            number=1,
            type=11,
            cpp_type=10,
            label=1,
            has_default_value=False,
            default_value=None,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        )
    ],
    extensions=[],
    nested_types=[],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=2367,
    serialized_end=2451,
)


_FACEFRAME = _descriptor.Descriptor(
    name="FaceFrame",
    full_name="google.cloud.videointelligence.v1beta2.FaceFrame",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="normalized_bounding_boxes",
            full_name="google.cloud.videointelligence.v1beta2.FaceFrame.normalized_bounding_boxes",
            index=0,
            number=1,
            type=11,
            cpp_type=10,
            label=3,
            has_default_value=False,
            default_value=[],
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="time_offset",
            full_name="google.cloud.videointelligence.v1beta2.FaceFrame.time_offset",
            index=1,
            number=2,
            type=11,
            cpp_type=10,
            label=1,
            has_default_value=False,
            default_value=None,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
    ],
    extensions=[],
    nested_types=[],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=2454,
    serialized_end=2611,
)


_FACEANNOTATION = _descriptor.Descriptor(
    name="FaceAnnotation",
    full_name="google.cloud.videointelligence.v1beta2.FaceAnnotation",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="thumbnail",
            full_name="google.cloud.videointelligence.v1beta2.FaceAnnotation.thumbnail",
            index=0,
            number=1,
            type=12,
            cpp_type=9,
            label=1,
            has_default_value=False,
            default_value=_b(""),
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="segments",
            full_name="google.cloud.videointelligence.v1beta2.FaceAnnotation.segments",
            index=1,
            number=2,
            type=11,
            cpp_type=10,
            label=3,
            has_default_value=False,
            default_value=[],
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="frames",
            full_name="google.cloud.videointelligence.v1beta2.FaceAnnotation.frames",
            index=2,
            number=3,
            type=11,
            cpp_type=10,
            label=3,
            has_default_value=False,
            default_value=[],
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
    ],
    extensions=[],
    nested_types=[],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=2614,
    serialized_end=2787,
)


_VIDEOANNOTATIONRESULTS = _descriptor.Descriptor(
    name="VideoAnnotationResults",
    full_name="google.cloud.videointelligence.v1beta2.VideoAnnotationResults",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="input_uri",
            full_name="google.cloud.videointelligence.v1beta2.VideoAnnotationResults.input_uri",
            index=0,
            number=1,
            type=9,
            cpp_type=9,
            label=1,
            has_default_value=False,
            default_value=_b("").decode("utf-8"),
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="segment_label_annotations",
            full_name="google.cloud.videointelligence.v1beta2.VideoAnnotationResults.segment_label_annotations",
            index=1,
            number=2,
            type=11,
            cpp_type=10,
            label=3,
            has_default_value=False,
            default_value=[],
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="shot_label_annotations",
            full_name="google.cloud.videointelligence.v1beta2.VideoAnnotationResults.shot_label_annotations",
            index=2,
            number=3,
            type=11,
            cpp_type=10,
            label=3,
            has_default_value=False,
            default_value=[],
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="frame_label_annotations",
            full_name="google.cloud.videointelligence.v1beta2.VideoAnnotationResults.frame_label_annotations",
            index=3,
            number=4,
            type=11,
            cpp_type=10,
            label=3,
            has_default_value=False,
            default_value=[],
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="face_annotations",
            full_name="google.cloud.videointelligence.v1beta2.VideoAnnotationResults.face_annotations",
            index=4,
            number=5,
            type=11,
            cpp_type=10,
            label=3,
            has_default_value=False,
            default_value=[],
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="shot_annotations",
            full_name="google.cloud.videointelligence.v1beta2.VideoAnnotationResults.shot_annotations",
            index=5,
            number=6,
            type=11,
            cpp_type=10,
            label=3,
            has_default_value=False,
            default_value=[],
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="explicit_annotation",
            full_name="google.cloud.videointelligence.v1beta2.VideoAnnotationResults.explicit_annotation",
            index=6,
            number=7,
            type=11,
            cpp_type=10,
            label=1,
            has_default_value=False,
            default_value=None,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="error",
            full_name="google.cloud.videointelligence.v1beta2.VideoAnnotationResults.error",
            index=7,
            number=9,
            type=11,
            cpp_type=10,
            label=1,
            has_default_value=False,
            default_value=None,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
    ],
    extensions=[],
    nested_types=[],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=2790,
    serialized_end=3397,
)


_ANNOTATEVIDEORESPONSE = _descriptor.Descriptor(
    name="AnnotateVideoResponse",
    full_name="google.cloud.videointelligence.v1beta2.AnnotateVideoResponse",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="annotation_results",
            full_name="google.cloud.videointelligence.v1beta2.AnnotateVideoResponse.annotation_results",
            index=0,
            number=1,
            type=11,
            cpp_type=10,
            label=3,
            has_default_value=False,
            default_value=[],
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        )
    ],
    extensions=[],
    nested_types=[],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=3399,
    serialized_end=3514,
)


_VIDEOANNOTATIONPROGRESS = _descriptor.Descriptor(
    name="VideoAnnotationProgress",
    full_name="google.cloud.videointelligence.v1beta2.VideoAnnotationProgress",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="input_uri",
            full_name="google.cloud.videointelligence.v1beta2.VideoAnnotationProgress.input_uri",
            index=0,
            number=1,
            type=9,
            cpp_type=9,
            label=1,
            has_default_value=False,
            default_value=_b("").decode("utf-8"),
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="progress_percent",
            full_name="google.cloud.videointelligence.v1beta2.VideoAnnotationProgress.progress_percent",
            index=1,
            number=2,
            type=5,
            cpp_type=1,
            label=1,
            has_default_value=False,
            default_value=0,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="start_time",
            full_name="google.cloud.videointelligence.v1beta2.VideoAnnotationProgress.start_time",
            index=2,
            number=3,
            type=11,
            cpp_type=10,
            label=1,
            has_default_value=False,
            default_value=None,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="update_time",
            full_name="google.cloud.videointelligence.v1beta2.VideoAnnotationProgress.update_time",
            index=3,
            number=4,
            type=11,
            cpp_type=10,
            label=1,
            has_default_value=False,
            default_value=None,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
    ],
    extensions=[],
    nested_types=[],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=3517,
    serialized_end=3684,
)


_ANNOTATEVIDEOPROGRESS = _descriptor.Descriptor(
    name="AnnotateVideoProgress",
    full_name="google.cloud.videointelligence.v1beta2.AnnotateVideoProgress",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="annotation_progress",
            full_name="google.cloud.videointelligence.v1beta2.AnnotateVideoProgress.annotation_progress",
            index=0,
            number=1,
            type=11,
            cpp_type=10,
            label=3,
            has_default_value=False,
            default_value=[],
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        )
    ],
    extensions=[],
    nested_types=[],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=3686,
    serialized_end=3803,
)

_ANNOTATEVIDEOREQUEST.fields_by_name["features"].enum_type = _FEATURE
_ANNOTATEVIDEOREQUEST.fields_by_name["video_context"].message_type = _VIDEOCONTEXT
_VIDEOCONTEXT.fields_by_name["segments"].message_type = _VIDEOSEGMENT
_VIDEOCONTEXT.fields_by_name[
    "label_detection_config"
].message_type = _LABELDETECTIONCONFIG
_VIDEOCONTEXT.fields_by_name[
    "shot_change_detection_config"
].message_type = _SHOTCHANGEDETECTIONCONFIG
_VIDEOCONTEXT.fields_by_name[
    "explicit_content_detection_config"
].message_type = _EXPLICITCONTENTDETECTIONCONFIG
_VIDEOCONTEXT.fields_by_name[
    "face_detection_config"
].message_type = _FACEDETECTIONCONFIG
_LABELDETECTIONCONFIG.fields_by_name[
    "label_detection_mode"
].enum_type = _LABELDETECTIONMODE
_VIDEOSEGMENT.fields_by_name[
    "start_time_offset"
].message_type = google_dot_protobuf_dot_duration__pb2._DURATION
_VIDEOSEGMENT.fields_by_name[
    "end_time_offset"
].message_type = google_dot_protobuf_dot_duration__pb2._DURATION
_LABELSEGMENT.fields_by_name["segment"].message_type = _VIDEOSEGMENT
_LABELFRAME.fields_by_name[
    "time_offset"
].message_type = google_dot_protobuf_dot_duration__pb2._DURATION
_LABELANNOTATION.fields_by_name["entity"].message_type = _ENTITY
_LABELANNOTATION.fields_by_name["category_entities"].message_type = _ENTITY
_LABELANNOTATION.fields_by_name["segments"].message_type = _LABELSEGMENT
_LABELANNOTATION.fields_by_name["frames"].message_type = _LABELFRAME
_EXPLICITCONTENTFRAME.fields_by_name[
    "time_offset"
].message_type = google_dot_protobuf_dot_duration__pb2._DURATION
_EXPLICITCONTENTFRAME.fields_by_name["pornography_likelihood"].enum_type = _LIKELIHOOD
_EXPLICITCONTENTANNOTATION.fields_by_name["frames"].message_type = _EXPLICITCONTENTFRAME
_FACESEGMENT.fields_by_name["segment"].message_type = _VIDEOSEGMENT
_FACEFRAME.fields_by_name[
    "normalized_bounding_boxes"
].message_type = _NORMALIZEDBOUNDINGBOX
_FACEFRAME.fields_by_name[
    "time_offset"
].message_type = google_dot_protobuf_dot_duration__pb2._DURATION
_FACEANNOTATION.fields_by_name["segments"].message_type = _FACESEGMENT
_FACEANNOTATION.fields_by_name["frames"].message_type = _FACEFRAME
_VIDEOANNOTATIONRESULTS.fields_by_name[
    "segment_label_annotations"
].message_type = _LABELANNOTATION
_VIDEOANNOTATIONRESULTS.fields_by_name[
    "shot_label_annotations"
].message_type = _LABELANNOTATION
_VIDEOANNOTATIONRESULTS.fields_by_name[
    "frame_label_annotations"
].message_type = _LABELANNOTATION
_VIDEOANNOTATIONRESULTS.fields_by_name[
    "face_annotations"
].message_type = _FACEANNOTATION
_VIDEOANNOTATIONRESULTS.fields_by_name["shot_annotations"].message_type = _VIDEOSEGMENT
_VIDEOANNOTATIONRESULTS.fields_by_name[
    "explicit_annotation"
].message_type = _EXPLICITCONTENTANNOTATION
_VIDEOANNOTATIONRESULTS.fields_by_name[
    "error"
].message_type = google_dot_rpc_dot_status__pb2._STATUS
_ANNOTATEVIDEORESPONSE.fields_by_name[
    "annotation_results"
].message_type = _VIDEOANNOTATIONRESULTS
_VIDEOANNOTATIONPROGRESS.fields_by_name[
    "start_time"
].message_type = google_dot_protobuf_dot_timestamp__pb2._TIMESTAMP
_VIDEOANNOTATIONPROGRESS.fields_by_name[
    "update_time"
].message_type = google_dot_protobuf_dot_timestamp__pb2._TIMESTAMP
_ANNOTATEVIDEOPROGRESS.fields_by_name[
    "annotation_progress"
].message_type = _VIDEOANNOTATIONPROGRESS
DESCRIPTOR.message_types_by_name["AnnotateVideoRequest"] = _ANNOTATEVIDEOREQUEST
DESCRIPTOR.message_types_by_name["VideoContext"] = _VIDEOCONTEXT
DESCRIPTOR.message_types_by_name["LabelDetectionConfig"] = _LABELDETECTIONCONFIG
DESCRIPTOR.message_types_by_name[
    "ShotChangeDetectionConfig"
] = _SHOTCHANGEDETECTIONCONFIG
DESCRIPTOR.message_types_by_name[
    "ExplicitContentDetectionConfig"
] = _EXPLICITCONTENTDETECTIONCONFIG
DESCRIPTOR.message_types_by_name["FaceDetectionConfig"] = _FACEDETECTIONCONFIG
DESCRIPTOR.message_types_by_name["VideoSegment"] = _VIDEOSEGMENT
DESCRIPTOR.message_types_by_name["LabelSegment"] = _LABELSEGMENT
DESCRIPTOR.message_types_by_name["LabelFrame"] = _LABELFRAME
DESCRIPTOR.message_types_by_name["Entity"] = _ENTITY
DESCRIPTOR.message_types_by_name["LabelAnnotation"] = _LABELANNOTATION
DESCRIPTOR.message_types_by_name["ExplicitContentFrame"] = _EXPLICITCONTENTFRAME
DESCRIPTOR.message_types_by_name[
    "ExplicitContentAnnotation"
] = _EXPLICITCONTENTANNOTATION
DESCRIPTOR.message_types_by_name["NormalizedBoundingBox"] = _NORMALIZEDBOUNDINGBOX
DESCRIPTOR.message_types_by_name["FaceSegment"] = _FACESEGMENT
DESCRIPTOR.message_types_by_name["FaceFrame"] = _FACEFRAME
DESCRIPTOR.message_types_by_name["FaceAnnotation"] = _FACEANNOTATION
DESCRIPTOR.message_types_by_name["VideoAnnotationResults"] = _VIDEOANNOTATIONRESULTS
DESCRIPTOR.message_types_by_name["AnnotateVideoResponse"] = _ANNOTATEVIDEORESPONSE
DESCRIPTOR.message_types_by_name["VideoAnnotationProgress"] = _VIDEOANNOTATIONPROGRESS
DESCRIPTOR.message_types_by_name["AnnotateVideoProgress"] = _ANNOTATEVIDEOPROGRESS
DESCRIPTOR.enum_types_by_name["Feature"] = _FEATURE
DESCRIPTOR.enum_types_by_name["LabelDetectionMode"] = _LABELDETECTIONMODE
DESCRIPTOR.enum_types_by_name["Likelihood"] = _LIKELIHOOD
_sym_db.RegisterFileDescriptor(DESCRIPTOR)

AnnotateVideoRequest = _reflection.GeneratedProtocolMessageType(
    "AnnotateVideoRequest",
    (_message.Message,),
    dict(
        DESCRIPTOR=_ANNOTATEVIDEOREQUEST,
        __module__="google.cloud.videointelligence_v1beta2.proto.video_intelligence_pb2",
        __doc__="""Video annotation request.
  
  
  Attributes:
      input_uri:
          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.
      input_content:
          The video data bytes. If unset, the input video(s) should be
          specified via ``input_uri``. If set, ``input_uri`` should be
          unset.
      features:
          Requested video annotation features.
      video_context:
          Additional video context and/or feature-specific parameters.
      output_uri:
          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>`__.
      location_id:
          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.
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.videointelligence.v1beta2.AnnotateVideoRequest)
    ),
)
_sym_db.RegisterMessage(AnnotateVideoRequest)

VideoContext = _reflection.GeneratedProtocolMessageType(
    "VideoContext",
    (_message.Message,),
    dict(
        DESCRIPTOR=_VIDEOCONTEXT,
        __module__="google.cloud.videointelligence_v1beta2.proto.video_intelligence_pb2",
        __doc__="""Video context and/or feature-specific parameters.
  
  
  Attributes:
      segments:
          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.
      label_detection_config:
          Config for LABEL\_DETECTION.
      shot_change_detection_config:
          Config for SHOT\_CHANGE\_DETECTION.
      explicit_content_detection_config:
          Config for EXPLICIT\_CONTENT\_DETECTION.
      face_detection_config:
          Config for FACE\_DETECTION.
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.videointelligence.v1beta2.VideoContext)
    ),
)
_sym_db.RegisterMessage(VideoContext)

LabelDetectionConfig = _reflection.GeneratedProtocolMessageType(
    "LabelDetectionConfig",
    (_message.Message,),
    dict(
        DESCRIPTOR=_LABELDETECTIONCONFIG,
        __module__="google.cloud.videointelligence_v1beta2.proto.video_intelligence_pb2",
        __doc__="""Config for LABEL\_DETECTION.
  
  
  Attributes:
      label_detection_mode:
          What labels should be detected with LABEL\_DETECTION, in
          addition to video-level labels or segment-level labels. If
          unspecified, defaults to ``SHOT_MODE``.
      stationary_camera:
          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.
      model:
          Model to use for label detection. Supported values:
          "builtin/stable" (the default if unset) and "builtin/latest".
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.videointelligence.v1beta2.LabelDetectionConfig)
    ),
)
_sym_db.RegisterMessage(LabelDetectionConfig)

ShotChangeDetectionConfig = _reflection.GeneratedProtocolMessageType(
    "ShotChangeDetectionConfig",
    (_message.Message,),
    dict(
        DESCRIPTOR=_SHOTCHANGEDETECTIONCONFIG,
        __module__="google.cloud.videointelligence_v1beta2.proto.video_intelligence_pb2",
        __doc__="""Config for SHOT\_CHANGE\_DETECTION.
  
  
  Attributes:
      model:
          Model to use for shot change detection. Supported values:
          "builtin/stable" (the default if unset) and "builtin/latest".
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.videointelligence.v1beta2.ShotChangeDetectionConfig)
    ),
)
_sym_db.RegisterMessage(ShotChangeDetectionConfig)

ExplicitContentDetectionConfig = _reflection.GeneratedProtocolMessageType(
    "ExplicitContentDetectionConfig",
    (_message.Message,),
    dict(
        DESCRIPTOR=_EXPLICITCONTENTDETECTIONCONFIG,
        __module__="google.cloud.videointelligence_v1beta2.proto.video_intelligence_pb2",
        __doc__="""Config for EXPLICIT\_CONTENT\_DETECTION.
  
  
  Attributes:
      model:
          Model to use for explicit content detection. Supported values:
          "builtin/stable" (the default if unset) and "builtin/latest".
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.videointelligence.v1beta2.ExplicitContentDetectionConfig)
    ),
)
_sym_db.RegisterMessage(ExplicitContentDetectionConfig)

FaceDetectionConfig = _reflection.GeneratedProtocolMessageType(
    "FaceDetectionConfig",
    (_message.Message,),
    dict(
        DESCRIPTOR=_FACEDETECTIONCONFIG,
        __module__="google.cloud.videointelligence_v1beta2.proto.video_intelligence_pb2",
        __doc__="""Config for FACE\_DETECTION.
  
  
  Attributes:
      model:
          Model to use for face detection. Supported values:
          "builtin/stable" (the default if unset) and "builtin/latest".
      include_bounding_boxes:
          Whether bounding boxes be included in the face annotation
          output.
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.videointelligence.v1beta2.FaceDetectionConfig)
    ),
)
_sym_db.RegisterMessage(FaceDetectionConfig)

VideoSegment = _reflection.GeneratedProtocolMessageType(
    "VideoSegment",
    (_message.Message,),
    dict(
        DESCRIPTOR=_VIDEOSEGMENT,
        __module__="google.cloud.videointelligence_v1beta2.proto.video_intelligence_pb2",
        __doc__="""Video segment.
  
  
  Attributes:
      start_time_offset:
          Time-offset, relative to the beginning of the video,
          corresponding to the start of the segment (inclusive).
      end_time_offset:
          Time-offset, relative to the beginning of the video,
          corresponding to the end of the segment (inclusive).
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.videointelligence.v1beta2.VideoSegment)
    ),
)
_sym_db.RegisterMessage(VideoSegment)

LabelSegment = _reflection.GeneratedProtocolMessageType(
    "LabelSegment",
    (_message.Message,),
    dict(
        DESCRIPTOR=_LABELSEGMENT,
        __module__="google.cloud.videointelligence_v1beta2.proto.video_intelligence_pb2",
        __doc__="""Video segment level annotation results for label detection.
  
  
  Attributes:
      segment:
          Video segment where a label was detected.
      confidence:
          Confidence that the label is accurate. Range: [0, 1].
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.videointelligence.v1beta2.LabelSegment)
    ),
)
_sym_db.RegisterMessage(LabelSegment)

LabelFrame = _reflection.GeneratedProtocolMessageType(
    "LabelFrame",
    (_message.Message,),
    dict(
        DESCRIPTOR=_LABELFRAME,
        __module__="google.cloud.videointelligence_v1beta2.proto.video_intelligence_pb2",
        __doc__="""Video frame level annotation results for label detection.
  
  
  Attributes:
      time_offset:
          Time-offset, relative to the beginning of the video,
          corresponding to the video frame for this location.
      confidence:
          Confidence that the label is accurate. Range: [0, 1].
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.videointelligence.v1beta2.LabelFrame)
    ),
)
_sym_db.RegisterMessage(LabelFrame)

Entity = _reflection.GeneratedProtocolMessageType(
    "Entity",
    (_message.Message,),
    dict(
        DESCRIPTOR=_ENTITY,
        __module__="google.cloud.videointelligence_v1beta2.proto.video_intelligence_pb2",
        __doc__="""Detected entity from video analysis.
  
  
  Attributes:
      entity_id:
          Opaque entity ID. Some IDs may be available in `Google
          Knowledge Graph Search API
          <https://developers.google.com/knowledge-graph/>`__.
      description:
          Textual description, e.g. ``Fixed-gear bicycle``.
      language_code:
          Language code for ``description`` in BCP-47 format.
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.videointelligence.v1beta2.Entity)
    ),
)
_sym_db.RegisterMessage(Entity)

LabelAnnotation = _reflection.GeneratedProtocolMessageType(
    "LabelAnnotation",
    (_message.Message,),
    dict(
        DESCRIPTOR=_LABELANNOTATION,
        __module__="google.cloud.videointelligence_v1beta2.proto.video_intelligence_pb2",
        __doc__="""Label annotation.
  
  
  Attributes:
      entity:
          Detected entity.
      category_entities:
          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``.
      segments:
          All video segments where a label was detected.
      frames:
          All video frames where a label was detected.
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.videointelligence.v1beta2.LabelAnnotation)
    ),
)
_sym_db.RegisterMessage(LabelAnnotation)

ExplicitContentFrame = _reflection.GeneratedProtocolMessageType(
    "ExplicitContentFrame",
    (_message.Message,),
    dict(
        DESCRIPTOR=_EXPLICITCONTENTFRAME,
        __module__="google.cloud.videointelligence_v1beta2.proto.video_intelligence_pb2",
        __doc__="""Video frame level annotation results for explicit content.
  
  
  Attributes:
      time_offset:
          Time-offset, relative to the beginning of the video,
          corresponding to the video frame for this location.
      pornography_likelihood:
          Likelihood of the pornography content..
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.videointelligence.v1beta2.ExplicitContentFrame)
    ),
)
_sym_db.RegisterMessage(ExplicitContentFrame)

ExplicitContentAnnotation = _reflection.GeneratedProtocolMessageType(
    "ExplicitContentAnnotation",
    (_message.Message,),
    dict(
        DESCRIPTOR=_EXPLICITCONTENTANNOTATION,
        __module__="google.cloud.videointelligence_v1beta2.proto.video_intelligence_pb2",
        __doc__="""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.
  
  
  Attributes:
      frames:
          All video frames where explicit content was detected.
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.videointelligence.v1beta2.ExplicitContentAnnotation)
    ),
)
_sym_db.RegisterMessage(ExplicitContentAnnotation)

NormalizedBoundingBox = _reflection.GeneratedProtocolMessageType(
    "NormalizedBoundingBox",
    (_message.Message,),
    dict(
        DESCRIPTOR=_NORMALIZEDBOUNDINGBOX,
        __module__="google.cloud.videointelligence_v1beta2.proto.video_intelligence_pb2",
        __doc__="""Normalized bounding box. The normalized vertex coordinates are relative
  to the original image. Range: [0, 1].
  
  
  Attributes:
      left:
          Left X coordinate.
      top:
          Top Y coordinate.
      right:
          Right X coordinate.
      bottom:
          Bottom Y coordinate.
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.videointelligence.v1beta2.NormalizedBoundingBox)
    ),
)
_sym_db.RegisterMessage(NormalizedBoundingBox)

FaceSegment = _reflection.GeneratedProtocolMessageType(
    "FaceSegment",
    (_message.Message,),
    dict(
        DESCRIPTOR=_FACESEGMENT,
        __module__="google.cloud.videointelligence_v1beta2.proto.video_intelligence_pb2",
        __doc__="""Video segment level annotation results for face detection.
  
  
  Attributes:
      segment:
          Video segment where a face was detected.
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.videointelligence.v1beta2.FaceSegment)
    ),
)
_sym_db.RegisterMessage(FaceSegment)

FaceFrame = _reflection.GeneratedProtocolMessageType(
    "FaceFrame",
    (_message.Message,),
    dict(
        DESCRIPTOR=_FACEFRAME,
        __module__="google.cloud.videointelligence_v1beta2.proto.video_intelligence_pb2",
        __doc__="""Video frame level annotation results for face detection.
  
  
  Attributes:
      normalized_bounding_boxes:
          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.
      time_offset:
          Time-offset, relative to the beginning of the video,
          corresponding to the video frame for this location.
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.videointelligence.v1beta2.FaceFrame)
    ),
)
_sym_db.RegisterMessage(FaceFrame)

FaceAnnotation = _reflection.GeneratedProtocolMessageType(
    "FaceAnnotation",
    (_message.Message,),
    dict(
        DESCRIPTOR=_FACEANNOTATION,
        __module__="google.cloud.videointelligence_v1beta2.proto.video_intelligence_pb2",
        __doc__="""Face annotation.
  
  
  Attributes:
      thumbnail:
          Thumbnail of a representative face view (in JPEG format).
      segments:
          All video segments where a face was detected.
      frames:
          All video frames where a face was detected.
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.videointelligence.v1beta2.FaceAnnotation)
    ),
)
_sym_db.RegisterMessage(FaceAnnotation)

VideoAnnotationResults = _reflection.GeneratedProtocolMessageType(
    "VideoAnnotationResults",
    (_message.Message,),
    dict(
        DESCRIPTOR=_VIDEOANNOTATIONRESULTS,
        __module__="google.cloud.videointelligence_v1beta2.proto.video_intelligence_pb2",
        __doc__="""Annotation results for a single video.
  
  
  Attributes:
      input_uri:
          Video file location in `Google Cloud Storage
          <https://cloud.google.com/storage/>`__.
      segment_label_annotations:
          Label annotations on video level or user specified segment
          level. There is exactly one element for each unique label.
      shot_label_annotations:
          Label annotations on shot level. There is exactly one element
          for each unique label.
      frame_label_annotations:
          Label annotations on frame level. There is exactly one element
          for each unique label.
      face_annotations:
          Face annotations. There is exactly one element for each unique
          face.
      shot_annotations:
          Shot annotations. Each shot is represented as a video segment.
      explicit_annotation:
          Explicit content annotation.
      error:
          If set, indicates an error. Note that for a single
          ``AnnotateVideoRequest`` some videos may succeed and some may
          fail.
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.videointelligence.v1beta2.VideoAnnotationResults)
    ),
)
_sym_db.RegisterMessage(VideoAnnotationResults)

AnnotateVideoResponse = _reflection.GeneratedProtocolMessageType(
    "AnnotateVideoResponse",
    (_message.Message,),
    dict(
        DESCRIPTOR=_ANNOTATEVIDEORESPONSE,
        __module__="google.cloud.videointelligence_v1beta2.proto.video_intelligence_pb2",
        __doc__="""Video annotation response. Included in the ``response`` field of the
  ``Operation`` returned by the ``GetOperation`` call of the
  ``google::longrunning::Operations`` service.
  
  
  Attributes:
      annotation_results:
          Annotation results for all videos specified in
          ``AnnotateVideoRequest``.
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.videointelligence.v1beta2.AnnotateVideoResponse)
    ),
)
_sym_db.RegisterMessage(AnnotateVideoResponse)

VideoAnnotationProgress = _reflection.GeneratedProtocolMessageType(
    "VideoAnnotationProgress",
    (_message.Message,),
    dict(
        DESCRIPTOR=_VIDEOANNOTATIONPROGRESS,
        __module__="google.cloud.videointelligence_v1beta2.proto.video_intelligence_pb2",
        __doc__="""Annotation progress for a single video.
  
  
  Attributes:
      input_uri:
          Video file location in `Google Cloud Storage
          <https://cloud.google.com/storage/>`__.
      progress_percent:
          Approximate percentage processed thus far. Guaranteed to be
          100 when fully processed.
      start_time:
          Time when the request was received.
      update_time:
          Time of the most recent update.
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.videointelligence.v1beta2.VideoAnnotationProgress)
    ),
)
_sym_db.RegisterMessage(VideoAnnotationProgress)

AnnotateVideoProgress = _reflection.GeneratedProtocolMessageType(
    "AnnotateVideoProgress",
    (_message.Message,),
    dict(
        DESCRIPTOR=_ANNOTATEVIDEOPROGRESS,
        __module__="google.cloud.videointelligence_v1beta2.proto.video_intelligence_pb2",
        __doc__="""Video annotation progress. Included in the ``metadata`` field of the
  ``Operation`` returned by the ``GetOperation`` call of the
  ``google::longrunning::Operations`` service.
  
  
  Attributes:
      annotation_progress:
          Progress metadata for all videos specified in
          ``AnnotateVideoRequest``.
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.videointelligence.v1beta2.AnnotateVideoProgress)
    ),
)
_sym_db.RegisterMessage(AnnotateVideoProgress)


DESCRIPTOR._options = None

_VIDEOINTELLIGENCESERVICE = _descriptor.ServiceDescriptor(
    name="VideoIntelligenceService",
    full_name="google.cloud.videointelligence.v1beta2.VideoIntelligenceService",
    file=DESCRIPTOR,
    index=0,
    serialized_options=None,
    serialized_start=4177,
    serialized_end=4351,
    methods=[
        _descriptor.MethodDescriptor(
            name="AnnotateVideo",
            full_name="google.cloud.videointelligence.v1beta2.VideoIntelligenceService.AnnotateVideo",
            index=0,
            containing_service=None,
            input_type=_ANNOTATEVIDEOREQUEST,
            output_type=google_dot_longrunning_dot_operations__pb2._OPERATION,
            serialized_options=_b(
                '\202\323\344\223\002\035"\030/v1beta2/videos:annotate:\001*'
            ),
        )
    ],
)
_sym_db.RegisterServiceDescriptor(_VIDEOINTELLIGENCESERVICE)

DESCRIPTOR.services_by_name["VideoIntelligenceService"] = _VIDEOINTELLIGENCESERVICE

# @@protoc_insertion_point(module_scope)
