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video_classification.py
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video_classification.py
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# -*- coding: utf-8 -*-
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import proto # type: ignore
__protobuf__ = proto.module(
package="google.cloud.aiplatform.v1beta1.schema.predict.instance",
manifest={"VideoClassificationPredictionInstance",},
)
class VideoClassificationPredictionInstance(proto.Message):
r"""Prediction input format for Video Classification.
Attributes:
content (str):
The Google Cloud Storage location of the
video on which to perform the prediction.
mime_type (str):
The MIME type of the content of the video.
Only the following are supported: video/mp4
video/avi video/quicktime
time_segment_start (str):
The beginning, inclusive, of the video's time
segment on which to perform the prediction.
Expressed as a number of seconds as measured
from the start of the video, with "s" appended
at the end. Fractions are allowed, up to a
microsecond precision.
time_segment_end (str):
The end, exclusive, of the video's time
segment on which to perform the prediction.
Expressed as a number of seconds as measured
from the start of the video, with "s" appended
at the end. Fractions are allowed, up to a
microsecond precision, and "Infinity" is
allowed, which means the end of the video.
"""
content = proto.Field(proto.STRING, number=1)
mime_type = proto.Field(proto.STRING, number=2)
time_segment_start = proto.Field(proto.STRING, number=3)
time_segment_end = proto.Field(proto.STRING, number=4)
__all__ = tuple(sorted(__protobuf__.manifest))