# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler.  DO NOT EDIT!
# source: google/cloud/videointelligence_v1p2beta1/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_v1p2beta1/proto/video_intelligence.proto",
    package="google.cloud.videointelligence.v1p2beta1",
    syntax="proto3",
    serialized_options=_b(
        "\n,com.google.cloud.videointelligence.v1p2beta1B\035VideoIntelligenceServiceProtoP\001ZYgoogle.golang.org/genproto/googleapis/cloud/videointelligence/v1p2beta1;videointelligence\252\002(Google.Cloud.VideoIntelligence.V1P2Beta1\312\002(Google\\Cloud\\VideoIntelligence\\V1p2beta1\352\002+Google::Cloud::VideoIntelligence::V1p2beta1"
    ),
    serialized_pb=_b(
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\x01(\x0b\x32>.google.cloud.videointelligence.v1p2beta1.LabelDetectionConfig\x12i\n\x1cshot_change_detection_config\x18\x03 \x01(\x0b\x32\x43.google.cloud.videointelligence.v1p2beta1.ShotChangeDetectionConfig\x12s\n!explicit_content_detection_config\x18\x04 \x01(\x0b\x32H.google.cloud.videointelligence.v1p2beta1.ExplicitContentDetectionConfig\x12\\\n\x15text_detection_config\x18\x08 \x01(\x0b\x32=.google.cloud.videointelligence.v1p2beta1.TextDetectionConfig"\x9c\x01\n\x14LabelDetectionConfig\x12Z\n\x14label_detection_mode\x18\x01 \x01(\x0e\x32<.google.cloud.videointelligence.v1p2beta1.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"-\n\x13TextDetectionConfig\x12\x16\n\x0elanguage_hints\x18\x01 \x03(\t"x\n\x0cVideoSegment\x12\x34\n\x11start_time_offset\x18\x01 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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\xb2\x01\n\x18VideoIntelligenceService\x12\x95\x01\n\rAnnotateVideo\x12>.google.cloud.videointelligence.v1p2beta1.AnnotateVideoRequest\x1a\x1d.google.longrunning.Operation"%\x82\xd3\xe4\x93\x02\x1f"\x1a/v1p2beta1/videos:annotate:\x01*B\xae\x02\n,com.google.cloud.videointelligence.v1p2beta1B\x1dVideoIntelligenceServiceProtoP\x01ZYgoogle.golang.org/genproto/googleapis/cloud/videointelligence/v1p2beta1;videointelligence\xaa\x02(Google.Cloud.VideoIntelligence.V1P2Beta1\xca\x02(Google\\Cloud\\VideoIntelligence\\V1p2beta1\xea\x02+Google::Cloud::VideoIntelligence::V1p2beta1b\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.v1p2beta1.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="TEXT_DETECTION", index=4, number=7, serialized_options=None, type=None
        ),
        _descriptor.EnumValueDescriptor(
            name="OBJECT_TRACKING",
            index=5,
            number=9,
            serialized_options=None,
            type=None,
        ),
    ],
    containing_type=None,
    serialized_options=None,
    serialized_start=4531,
    serialized_end=4686,
)
_sym_db.RegisterEnumDescriptor(_FEATURE)

Feature = enum_type_wrapper.EnumTypeWrapper(_FEATURE)
_LABELDETECTIONMODE = _descriptor.EnumDescriptor(
    name="LabelDetectionMode",
    full_name="google.cloud.videointelligence.v1p2beta1.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=4688,
    serialized_end=4802,
)
_sym_db.RegisterEnumDescriptor(_LABELDETECTIONMODE)

LabelDetectionMode = enum_type_wrapper.EnumTypeWrapper(_LABELDETECTIONMODE)
_LIKELIHOOD = _descriptor.EnumDescriptor(
    name="Likelihood",
    full_name="google.cloud.videointelligence.v1p2beta1.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=4804,
    serialized_end=4920,
)
_sym_db.RegisterEnumDescriptor(_LIKELIHOOD)

Likelihood = enum_type_wrapper.EnumTypeWrapper(_LIKELIHOOD)
FEATURE_UNSPECIFIED = 0
LABEL_DETECTION = 1
SHOT_CHANGE_DETECTION = 2
EXPLICIT_CONTENT_DETECTION = 3
TEXT_DETECTION = 7
OBJECT_TRACKING = 9
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.v1p2beta1.AnnotateVideoRequest",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="input_uri",
            full_name="google.cloud.videointelligence.v1p2beta1.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.v1p2beta1.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.v1p2beta1.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.v1p2beta1.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.v1p2beta1.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.v1p2beta1.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=275,
    serialized_end=528,
)


_VIDEOCONTEXT = _descriptor.Descriptor(
    name="VideoContext",
    full_name="google.cloud.videointelligence.v1p2beta1.VideoContext",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="segments",
            full_name="google.cloud.videointelligence.v1p2beta1.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.v1p2beta1.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.v1p2beta1.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.v1p2beta1.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="text_detection_config",
            full_name="google.cloud.videointelligence.v1p2beta1.VideoContext.text_detection_config",
            index=4,
            number=8,
            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=531,
    serialized_end=1033,
)


_LABELDETECTIONCONFIG = _descriptor.Descriptor(
    name="LabelDetectionConfig",
    full_name="google.cloud.videointelligence.v1p2beta1.LabelDetectionConfig",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="label_detection_mode",
            full_name="google.cloud.videointelligence.v1p2beta1.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.v1p2beta1.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.v1p2beta1.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=1036,
    serialized_end=1192,
)


_SHOTCHANGEDETECTIONCONFIG = _descriptor.Descriptor(
    name="ShotChangeDetectionConfig",
    full_name="google.cloud.videointelligence.v1p2beta1.ShotChangeDetectionConfig",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="model",
            full_name="google.cloud.videointelligence.v1p2beta1.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=1194,
    serialized_end=1236,
)


_EXPLICITCONTENTDETECTIONCONFIG = _descriptor.Descriptor(
    name="ExplicitContentDetectionConfig",
    full_name="google.cloud.videointelligence.v1p2beta1.ExplicitContentDetectionConfig",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="model",
            full_name="google.cloud.videointelligence.v1p2beta1.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=1238,
    serialized_end=1285,
)


_TEXTDETECTIONCONFIG = _descriptor.Descriptor(
    name="TextDetectionConfig",
    full_name="google.cloud.videointelligence.v1p2beta1.TextDetectionConfig",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="language_hints",
            full_name="google.cloud.videointelligence.v1p2beta1.TextDetectionConfig.language_hints",
            index=0,
            number=1,
            type=9,
            cpp_type=9,
            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=1287,
    serialized_end=1332,
)


_VIDEOSEGMENT = _descriptor.Descriptor(
    name="VideoSegment",
    full_name="google.cloud.videointelligence.v1p2beta1.VideoSegment",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="start_time_offset",
            full_name="google.cloud.videointelligence.v1p2beta1.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.v1p2beta1.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=1334,
    serialized_end=1454,
)


_LABELSEGMENT = _descriptor.Descriptor(
    name="LabelSegment",
    full_name="google.cloud.videointelligence.v1p2beta1.LabelSegment",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="segment",
            full_name="google.cloud.videointelligence.v1p2beta1.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.v1p2beta1.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=1456,
    serialized_end=1563,
)


_LABELFRAME = _descriptor.Descriptor(
    name="LabelFrame",
    full_name="google.cloud.videointelligence.v1p2beta1.LabelFrame",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="time_offset",
            full_name="google.cloud.videointelligence.v1p2beta1.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.v1p2beta1.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=1565,
    serialized_end=1645,
)


_ENTITY = _descriptor.Descriptor(
    name="Entity",
    full_name="google.cloud.videointelligence.v1p2beta1.Entity",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="entity_id",
            full_name="google.cloud.videointelligence.v1p2beta1.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.v1p2beta1.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.v1p2beta1.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=1647,
    serialized_end=1718,
)


_LABELANNOTATION = _descriptor.Descriptor(
    name="LabelAnnotation",
    full_name="google.cloud.videointelligence.v1p2beta1.LabelAnnotation",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="entity",
            full_name="google.cloud.videointelligence.v1p2beta1.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.v1p2beta1.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.v1p2beta1.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.v1p2beta1.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=1721,
    serialized_end=2025,
)


_EXPLICITCONTENTFRAME = _descriptor.Descriptor(
    name="ExplicitContentFrame",
    full_name="google.cloud.videointelligence.v1p2beta1.ExplicitContentFrame",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="time_offset",
            full_name="google.cloud.videointelligence.v1p2beta1.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.v1p2beta1.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=2028,
    serialized_end=2184,
)


_EXPLICITCONTENTANNOTATION = _descriptor.Descriptor(
    name="ExplicitContentAnnotation",
    full_name="google.cloud.videointelligence.v1p2beta1.ExplicitContentAnnotation",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="frames",
            full_name="google.cloud.videointelligence.v1p2beta1.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=2186,
    serialized_end=2293,
)


_NORMALIZEDBOUNDINGBOX = _descriptor.Descriptor(
    name="NormalizedBoundingBox",
    full_name="google.cloud.videointelligence.v1p2beta1.NormalizedBoundingBox",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="left",
            full_name="google.cloud.videointelligence.v1p2beta1.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.v1p2beta1.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.v1p2beta1.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.v1p2beta1.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=2295,
    serialized_end=2376,
)


_VIDEOANNOTATIONRESULTS = _descriptor.Descriptor(
    name="VideoAnnotationResults",
    full_name="google.cloud.videointelligence.v1p2beta1.VideoAnnotationResults",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="input_uri",
            full_name="google.cloud.videointelligence.v1p2beta1.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.v1p2beta1.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.v1p2beta1.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.v1p2beta1.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="shot_annotations",
            full_name="google.cloud.videointelligence.v1p2beta1.VideoAnnotationResults.shot_annotations",
            index=4,
            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.v1p2beta1.VideoAnnotationResults.explicit_annotation",
            index=5,
            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="text_annotations",
            full_name="google.cloud.videointelligence.v1p2beta1.VideoAnnotationResults.text_annotations",
            index=6,
            number=12,
            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="object_annotations",
            full_name="google.cloud.videointelligence.v1p2beta1.VideoAnnotationResults.object_annotations",
            index=7,
            number=14,
            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="error",
            full_name="google.cloud.videointelligence.v1p2beta1.VideoAnnotationResults.error",
            index=8,
            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=2379,
    serialized_end=3094,
)


_ANNOTATEVIDEORESPONSE = _descriptor.Descriptor(
    name="AnnotateVideoResponse",
    full_name="google.cloud.videointelligence.v1p2beta1.AnnotateVideoResponse",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="annotation_results",
            full_name="google.cloud.videointelligence.v1p2beta1.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=3096,
    serialized_end=3213,
)


_VIDEOANNOTATIONPROGRESS = _descriptor.Descriptor(
    name="VideoAnnotationProgress",
    full_name="google.cloud.videointelligence.v1p2beta1.VideoAnnotationProgress",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="input_uri",
            full_name="google.cloud.videointelligence.v1p2beta1.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.v1p2beta1.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.v1p2beta1.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.v1p2beta1.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=3216,
    serialized_end=3383,
)


_ANNOTATEVIDEOPROGRESS = _descriptor.Descriptor(
    name="AnnotateVideoProgress",
    full_name="google.cloud.videointelligence.v1p2beta1.AnnotateVideoProgress",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="annotation_progress",
            full_name="google.cloud.videointelligence.v1p2beta1.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=3385,
    serialized_end=3504,
)


_NORMALIZEDVERTEX = _descriptor.Descriptor(
    name="NormalizedVertex",
    full_name="google.cloud.videointelligence.v1p2beta1.NormalizedVertex",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="x",
            full_name="google.cloud.videointelligence.v1p2beta1.NormalizedVertex.x",
            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="y",
            full_name="google.cloud.videointelligence.v1p2beta1.NormalizedVertex.y",
            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=3506,
    serialized_end=3546,
)


_NORMALIZEDBOUNDINGPOLY = _descriptor.Descriptor(
    name="NormalizedBoundingPoly",
    full_name="google.cloud.videointelligence.v1p2beta1.NormalizedBoundingPoly",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="vertices",
            full_name="google.cloud.videointelligence.v1p2beta1.NormalizedBoundingPoly.vertices",
            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=3548,
    serialized_end=3650,
)


_TEXTSEGMENT = _descriptor.Descriptor(
    name="TextSegment",
    full_name="google.cloud.videointelligence.v1p2beta1.TextSegment",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="segment",
            full_name="google.cloud.videointelligence.v1p2beta1.TextSegment.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.v1p2beta1.TextSegment.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,
        ),
        _descriptor.FieldDescriptor(
            name="frames",
            full_name="google.cloud.videointelligence.v1p2beta1.TextSegment.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=3653,
    serialized_end=3828,
)


_TEXTFRAME = _descriptor.Descriptor(
    name="TextFrame",
    full_name="google.cloud.videointelligence.v1p2beta1.TextFrame",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="rotated_bounding_box",
            full_name="google.cloud.videointelligence.v1p2beta1.TextFrame.rotated_bounding_box",
            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="time_offset",
            full_name="google.cloud.videointelligence.v1p2beta1.TextFrame.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=3831,
    serialized_end=3986,
)


_TEXTANNOTATION = _descriptor.Descriptor(
    name="TextAnnotation",
    full_name="google.cloud.videointelligence.v1p2beta1.TextAnnotation",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="text",
            full_name="google.cloud.videointelligence.v1p2beta1.TextAnnotation.text",
            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="segments",
            full_name="google.cloud.videointelligence.v1p2beta1.TextAnnotation.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,
        ),
    ],
    extensions=[],
    nested_types=[],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=3988,
    serialized_end=4091,
)


_OBJECTTRACKINGFRAME = _descriptor.Descriptor(
    name="ObjectTrackingFrame",
    full_name="google.cloud.videointelligence.v1p2beta1.ObjectTrackingFrame",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="normalized_bounding_box",
            full_name="google.cloud.videointelligence.v1p2beta1.ObjectTrackingFrame.normalized_bounding_box",
            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="time_offset",
            full_name="google.cloud.videointelligence.v1p2beta1.ObjectTrackingFrame.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=4094,
    serialized_end=4261,
)


_OBJECTTRACKINGANNOTATION = _descriptor.Descriptor(
    name="ObjectTrackingAnnotation",
    full_name="google.cloud.videointelligence.v1p2beta1.ObjectTrackingAnnotation",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="entity",
            full_name="google.cloud.videointelligence.v1p2beta1.ObjectTrackingAnnotation.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="confidence",
            full_name="google.cloud.videointelligence.v1p2beta1.ObjectTrackingAnnotation.confidence",
            index=1,
            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,
        ),
        _descriptor.FieldDescriptor(
            name="frames",
            full_name="google.cloud.videointelligence.v1p2beta1.ObjectTrackingAnnotation.frames",
            index=2,
            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="segment",
            full_name="google.cloud.videointelligence.v1p2beta1.ObjectTrackingAnnotation.segment",
            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,
        ),
    ],
    extensions=[],
    nested_types=[],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=4264,
    serialized_end=4528,
)

_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[
    "text_detection_config"
].message_type = _TEXTDETECTIONCONFIG
_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
_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["shot_annotations"].message_type = _VIDEOSEGMENT
_VIDEOANNOTATIONRESULTS.fields_by_name[
    "explicit_annotation"
].message_type = _EXPLICITCONTENTANNOTATION
_VIDEOANNOTATIONRESULTS.fields_by_name[
    "text_annotations"
].message_type = _TEXTANNOTATION
_VIDEOANNOTATIONRESULTS.fields_by_name[
    "object_annotations"
].message_type = _OBJECTTRACKINGANNOTATION
_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
_NORMALIZEDBOUNDINGPOLY.fields_by_name["vertices"].message_type = _NORMALIZEDVERTEX
_TEXTSEGMENT.fields_by_name["segment"].message_type = _VIDEOSEGMENT
_TEXTSEGMENT.fields_by_name["frames"].message_type = _TEXTFRAME
_TEXTFRAME.fields_by_name["rotated_bounding_box"].message_type = _NORMALIZEDBOUNDINGPOLY
_TEXTFRAME.fields_by_name[
    "time_offset"
].message_type = google_dot_protobuf_dot_duration__pb2._DURATION
_TEXTANNOTATION.fields_by_name["segments"].message_type = _TEXTSEGMENT
_OBJECTTRACKINGFRAME.fields_by_name[
    "normalized_bounding_box"
].message_type = _NORMALIZEDBOUNDINGBOX
_OBJECTTRACKINGFRAME.fields_by_name[
    "time_offset"
].message_type = google_dot_protobuf_dot_duration__pb2._DURATION
_OBJECTTRACKINGANNOTATION.fields_by_name["entity"].message_type = _ENTITY
_OBJECTTRACKINGANNOTATION.fields_by_name["frames"].message_type = _OBJECTTRACKINGFRAME
_OBJECTTRACKINGANNOTATION.fields_by_name["segment"].message_type = _VIDEOSEGMENT
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["TextDetectionConfig"] = _TEXTDETECTIONCONFIG
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["VideoAnnotationResults"] = _VIDEOANNOTATIONRESULTS
DESCRIPTOR.message_types_by_name["AnnotateVideoResponse"] = _ANNOTATEVIDEORESPONSE
DESCRIPTOR.message_types_by_name["VideoAnnotationProgress"] = _VIDEOANNOTATIONPROGRESS
DESCRIPTOR.message_types_by_name["AnnotateVideoProgress"] = _ANNOTATEVIDEOPROGRESS
DESCRIPTOR.message_types_by_name["NormalizedVertex"] = _NORMALIZEDVERTEX
DESCRIPTOR.message_types_by_name["NormalizedBoundingPoly"] = _NORMALIZEDBOUNDINGPOLY
DESCRIPTOR.message_types_by_name["TextSegment"] = _TEXTSEGMENT
DESCRIPTOR.message_types_by_name["TextFrame"] = _TEXTFRAME
DESCRIPTOR.message_types_by_name["TextAnnotation"] = _TEXTANNOTATION
DESCRIPTOR.message_types_by_name["ObjectTrackingFrame"] = _OBJECTTRACKINGFRAME
DESCRIPTOR.message_types_by_name["ObjectTrackingAnnotation"] = _OBJECTTRACKINGANNOTATION
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_v1p2beta1.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.v1p2beta1.AnnotateVideoRequest)
    ),
)
_sym_db.RegisterMessage(AnnotateVideoRequest)

VideoContext = _reflection.GeneratedProtocolMessageType(
    "VideoContext",
    (_message.Message,),
    dict(
        DESCRIPTOR=_VIDEOCONTEXT,
        __module__="google.cloud.videointelligence_v1p2beta1.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.
      text_detection_config:
          Config for TEXT\_DETECTION.
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.videointelligence.v1p2beta1.VideoContext)
    ),
)
_sym_db.RegisterMessage(VideoContext)

LabelDetectionConfig = _reflection.GeneratedProtocolMessageType(
    "LabelDetectionConfig",
    (_message.Message,),
    dict(
        DESCRIPTOR=_LABELDETECTIONCONFIG,
        __module__="google.cloud.videointelligence_v1p2beta1.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.v1p2beta1.LabelDetectionConfig)
    ),
)
_sym_db.RegisterMessage(LabelDetectionConfig)

ShotChangeDetectionConfig = _reflection.GeneratedProtocolMessageType(
    "ShotChangeDetectionConfig",
    (_message.Message,),
    dict(
        DESCRIPTOR=_SHOTCHANGEDETECTIONCONFIG,
        __module__="google.cloud.videointelligence_v1p2beta1.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.v1p2beta1.ShotChangeDetectionConfig)
    ),
)
_sym_db.RegisterMessage(ShotChangeDetectionConfig)

ExplicitContentDetectionConfig = _reflection.GeneratedProtocolMessageType(
    "ExplicitContentDetectionConfig",
    (_message.Message,),
    dict(
        DESCRIPTOR=_EXPLICITCONTENTDETECTIONCONFIG,
        __module__="google.cloud.videointelligence_v1p2beta1.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.v1p2beta1.ExplicitContentDetectionConfig)
    ),
)
_sym_db.RegisterMessage(ExplicitContentDetectionConfig)

TextDetectionConfig = _reflection.GeneratedProtocolMessageType(
    "TextDetectionConfig",
    (_message.Message,),
    dict(
        DESCRIPTOR=_TEXTDETECTIONCONFIG,
        __module__="google.cloud.videointelligence_v1p2beta1.proto.video_intelligence_pb2",
        __doc__="""Config for TEXT\_DETECTION.
  
  
  Attributes:
      language_hints:
          Language hint can be specified if the language to be detected
          is known a priori. It can increase the accuracy of the
          detection. Language hint must be language code in BCP-47
          format.  Automatic language detection is performed if no hint
          is provided.
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.videointelligence.v1p2beta1.TextDetectionConfig)
    ),
)
_sym_db.RegisterMessage(TextDetectionConfig)

VideoSegment = _reflection.GeneratedProtocolMessageType(
    "VideoSegment",
    (_message.Message,),
    dict(
        DESCRIPTOR=_VIDEOSEGMENT,
        __module__="google.cloud.videointelligence_v1p2beta1.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.v1p2beta1.VideoSegment)
    ),
)
_sym_db.RegisterMessage(VideoSegment)

LabelSegment = _reflection.GeneratedProtocolMessageType(
    "LabelSegment",
    (_message.Message,),
    dict(
        DESCRIPTOR=_LABELSEGMENT,
        __module__="google.cloud.videointelligence_v1p2beta1.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.v1p2beta1.LabelSegment)
    ),
)
_sym_db.RegisterMessage(LabelSegment)

LabelFrame = _reflection.GeneratedProtocolMessageType(
    "LabelFrame",
    (_message.Message,),
    dict(
        DESCRIPTOR=_LABELFRAME,
        __module__="google.cloud.videointelligence_v1p2beta1.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.v1p2beta1.LabelFrame)
    ),
)
_sym_db.RegisterMessage(LabelFrame)

Entity = _reflection.GeneratedProtocolMessageType(
    "Entity",
    (_message.Message,),
    dict(
        DESCRIPTOR=_ENTITY,
        __module__="google.cloud.videointelligence_v1p2beta1.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.v1p2beta1.Entity)
    ),
)
_sym_db.RegisterMessage(Entity)

LabelAnnotation = _reflection.GeneratedProtocolMessageType(
    "LabelAnnotation",
    (_message.Message,),
    dict(
        DESCRIPTOR=_LABELANNOTATION,
        __module__="google.cloud.videointelligence_v1p2beta1.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.v1p2beta1.LabelAnnotation)
    ),
)
_sym_db.RegisterMessage(LabelAnnotation)

ExplicitContentFrame = _reflection.GeneratedProtocolMessageType(
    "ExplicitContentFrame",
    (_message.Message,),
    dict(
        DESCRIPTOR=_EXPLICITCONTENTFRAME,
        __module__="google.cloud.videointelligence_v1p2beta1.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.v1p2beta1.ExplicitContentFrame)
    ),
)
_sym_db.RegisterMessage(ExplicitContentFrame)

ExplicitContentAnnotation = _reflection.GeneratedProtocolMessageType(
    "ExplicitContentAnnotation",
    (_message.Message,),
    dict(
        DESCRIPTOR=_EXPLICITCONTENTANNOTATION,
        __module__="google.cloud.videointelligence_v1p2beta1.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.v1p2beta1.ExplicitContentAnnotation)
    ),
)
_sym_db.RegisterMessage(ExplicitContentAnnotation)

NormalizedBoundingBox = _reflection.GeneratedProtocolMessageType(
    "NormalizedBoundingBox",
    (_message.Message,),
    dict(
        DESCRIPTOR=_NORMALIZEDBOUNDINGBOX,
        __module__="google.cloud.videointelligence_v1p2beta1.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.v1p2beta1.NormalizedBoundingBox)
    ),
)
_sym_db.RegisterMessage(NormalizedBoundingBox)

VideoAnnotationResults = _reflection.GeneratedProtocolMessageType(
    "VideoAnnotationResults",
    (_message.Message,),
    dict(
        DESCRIPTOR=_VIDEOANNOTATIONRESULTS,
        __module__="google.cloud.videointelligence_v1p2beta1.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.
      shot_annotations:
          Shot annotations. Each shot is represented as a video segment.
      explicit_annotation:
          Explicit content annotation.
      text_annotations:
          OCR text detection and tracking. Annotations for list of
          detected text snippets. Each will have list of frame
          information associated with it.
      object_annotations:
          Annotations for list of objects detected and tracked in video.
      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.v1p2beta1.VideoAnnotationResults)
    ),
)
_sym_db.RegisterMessage(VideoAnnotationResults)

AnnotateVideoResponse = _reflection.GeneratedProtocolMessageType(
    "AnnotateVideoResponse",
    (_message.Message,),
    dict(
        DESCRIPTOR=_ANNOTATEVIDEORESPONSE,
        __module__="google.cloud.videointelligence_v1p2beta1.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.v1p2beta1.AnnotateVideoResponse)
    ),
)
_sym_db.RegisterMessage(AnnotateVideoResponse)

VideoAnnotationProgress = _reflection.GeneratedProtocolMessageType(
    "VideoAnnotationProgress",
    (_message.Message,),
    dict(
        DESCRIPTOR=_VIDEOANNOTATIONPROGRESS,
        __module__="google.cloud.videointelligence_v1p2beta1.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.v1p2beta1.VideoAnnotationProgress)
    ),
)
_sym_db.RegisterMessage(VideoAnnotationProgress)

AnnotateVideoProgress = _reflection.GeneratedProtocolMessageType(
    "AnnotateVideoProgress",
    (_message.Message,),
    dict(
        DESCRIPTOR=_ANNOTATEVIDEOPROGRESS,
        __module__="google.cloud.videointelligence_v1p2beta1.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.v1p2beta1.AnnotateVideoProgress)
    ),
)
_sym_db.RegisterMessage(AnnotateVideoProgress)

NormalizedVertex = _reflection.GeneratedProtocolMessageType(
    "NormalizedVertex",
    (_message.Message,),
    dict(
        DESCRIPTOR=_NORMALIZEDVERTEX,
        __module__="google.cloud.videointelligence_v1p2beta1.proto.video_intelligence_pb2",
        __doc__="""X coordinate.
  
  
  Attributes:
      y:
          Y coordinate.
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.videointelligence.v1p2beta1.NormalizedVertex)
    ),
)
_sym_db.RegisterMessage(NormalizedVertex)

NormalizedBoundingPoly = _reflection.GeneratedProtocolMessageType(
    "NormalizedBoundingPoly",
    (_message.Message,),
    dict(
        DESCRIPTOR=_NORMALIZEDBOUNDINGPOLY,
        __module__="google.cloud.videointelligence_v1p2beta1.proto.video_intelligence_pb2",
        __doc__="""Normalized bounding polygon for text (that might not be aligned with
  axis). Contains list of the corner points in clockwise order starting
  from top-left corner. For example, for a rectangular bounding box: When
  the text is horizontal it might look like: 0----1 \| \| 3----2
  
  When it's clockwise rotated 180 degrees around the top-left corner it
  becomes: 2----3 \| \| 1----0
  
  and the vertex order will still be (0, 1, 2, 3). Note that values can be
  less than 0, or greater than 1 due to trignometric calculations for
  location of the box.
  
  
  Attributes:
      vertices:
          Normalized vertices of the bounding polygon.
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.videointelligence.v1p2beta1.NormalizedBoundingPoly)
    ),
)
_sym_db.RegisterMessage(NormalizedBoundingPoly)

TextSegment = _reflection.GeneratedProtocolMessageType(
    "TextSegment",
    (_message.Message,),
    dict(
        DESCRIPTOR=_TEXTSEGMENT,
        __module__="google.cloud.videointelligence_v1p2beta1.proto.video_intelligence_pb2",
        __doc__="""Video segment level annotation results for text detection.
  
  
  Attributes:
      segment:
          Video segment where a text snippet was detected.
      confidence:
          Confidence for the track of detected text. It is calculated as
          the highest over all frames where OCR detected text appears.
      frames:
          Information related to the frames where OCR detected text
          appears.
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.videointelligence.v1p2beta1.TextSegment)
    ),
)
_sym_db.RegisterMessage(TextSegment)

TextFrame = _reflection.GeneratedProtocolMessageType(
    "TextFrame",
    (_message.Message,),
    dict(
        DESCRIPTOR=_TEXTFRAME,
        __module__="google.cloud.videointelligence_v1p2beta1.proto.video_intelligence_pb2",
        __doc__="""Video frame level annotation results for text annotation (OCR). Contains
  information regarding timestamp and bounding box locations for the
  frames containing detected OCR text snippets.
  
  
  Attributes:
      rotated_bounding_box:
          Bounding polygon of the detected text for this frame.
      time_offset:
          Timestamp of this frame.
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.videointelligence.v1p2beta1.TextFrame)
    ),
)
_sym_db.RegisterMessage(TextFrame)

TextAnnotation = _reflection.GeneratedProtocolMessageType(
    "TextAnnotation",
    (_message.Message,),
    dict(
        DESCRIPTOR=_TEXTANNOTATION,
        __module__="google.cloud.videointelligence_v1p2beta1.proto.video_intelligence_pb2",
        __doc__="""Annotations related to one detected OCR text snippet. This will contain
  the corresponding text, confidence value, and frame level information
  for each detection.
  
  
  Attributes:
      text:
          The detected text.
      segments:
          All video segments where OCR detected text appears.
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.videointelligence.v1p2beta1.TextAnnotation)
    ),
)
_sym_db.RegisterMessage(TextAnnotation)

ObjectTrackingFrame = _reflection.GeneratedProtocolMessageType(
    "ObjectTrackingFrame",
    (_message.Message,),
    dict(
        DESCRIPTOR=_OBJECTTRACKINGFRAME,
        __module__="google.cloud.videointelligence_v1p2beta1.proto.video_intelligence_pb2",
        __doc__="""Video frame level annotations for object detection and tracking. This
  field stores per frame location, time offset, and confidence.
  
  
  Attributes:
      normalized_bounding_box:
          The normalized bounding box location of this object track for
          the frame.
      time_offset:
          The timestamp of the frame in microseconds.
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.videointelligence.v1p2beta1.ObjectTrackingFrame)
    ),
)
_sym_db.RegisterMessage(ObjectTrackingFrame)

ObjectTrackingAnnotation = _reflection.GeneratedProtocolMessageType(
    "ObjectTrackingAnnotation",
    (_message.Message,),
    dict(
        DESCRIPTOR=_OBJECTTRACKINGANNOTATION,
        __module__="google.cloud.videointelligence_v1p2beta1.proto.video_intelligence_pb2",
        __doc__="""Annotations corresponding to one tracked object.
  
  
  Attributes:
      entity:
          Entity to specify the object category that this track is
          labeled as.
      confidence:
          Object category's labeling confidence of this track.
      frames:
          Information corresponding to all frames where this object
          track appears.
      segment:
          Each object track corresponds to one video segment where it
          appears.
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.videointelligence.v1p2beta1.ObjectTrackingAnnotation)
    ),
)
_sym_db.RegisterMessage(ObjectTrackingAnnotation)


DESCRIPTOR._options = None

_VIDEOINTELLIGENCESERVICE = _descriptor.ServiceDescriptor(
    name="VideoIntelligenceService",
    full_name="google.cloud.videointelligence.v1p2beta1.VideoIntelligenceService",
    file=DESCRIPTOR,
    index=0,
    serialized_options=None,
    serialized_start=4923,
    serialized_end=5101,
    methods=[
        _descriptor.MethodDescriptor(
            name="AnnotateVideo",
            full_name="google.cloud.videointelligence.v1p2beta1.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\037"\032/v1p2beta1/videos:annotate:\001*'
            ),
        )
    ],
)
_sym_db.RegisterServiceDescriptor(_VIDEOINTELLIGENCESERVICE)

DESCRIPTOR.services_by_name["VideoIntelligenceService"] = _VIDEOINTELLIGENCESERVICE

# @@protoc_insertion_point(module_scope)
