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geometry.py
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geometry.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.vision.v1",
manifest={"Vertex", "NormalizedVertex", "BoundingPoly", "Position",},
)
class Vertex(proto.Message):
r"""A vertex represents a 2D point in the image.
NOTE: the vertex coordinates are in the same scale as the
original image.
Attributes:
x (int):
X coordinate.
y (int):
Y coordinate.
"""
x = proto.Field(proto.INT32, number=1,)
y = proto.Field(proto.INT32, number=2,)
class NormalizedVertex(proto.Message):
r"""A vertex represents a 2D point in the image.
NOTE: the normalized vertex coordinates are relative to the
original image and range from 0 to 1.
Attributes:
x (float):
X coordinate.
y (float):
Y coordinate.
"""
x = proto.Field(proto.FLOAT, number=1,)
y = proto.Field(proto.FLOAT, number=2,)
class BoundingPoly(proto.Message):
r"""A bounding polygon for the detected image annotation.
Attributes:
vertices (Sequence[google.cloud.vision_v1.types.Vertex]):
The bounding polygon vertices.
normalized_vertices (Sequence[google.cloud.vision_v1.types.NormalizedVertex]):
The bounding polygon normalized vertices.
"""
vertices = proto.RepeatedField(proto.MESSAGE, number=1, message="Vertex",)
normalized_vertices = proto.RepeatedField(
proto.MESSAGE, number=2, message="NormalizedVertex",
)
class Position(proto.Message):
r"""A 3D position in the image, used primarily for Face detection
landmarks. A valid Position must have both x and y coordinates.
The position coordinates are in the same scale as the original
image.
Attributes:
x (float):
X coordinate.
y (float):
Y coordinate.
z (float):
Z coordinate (or depth).
"""
x = proto.Field(proto.FLOAT, number=1,)
y = proto.Field(proto.FLOAT, number=2,)
z = proto.Field(proto.FLOAT, number=3,)
__all__ = tuple(sorted(__protobuf__.manifest))