TDNMdemo / inference_pb2.py
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# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: inference.proto
# Protobuf Python Version: 5.26.1
"""Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.protobuf import descriptor_pool as _descriptor_pool
from google.protobuf import symbol_database as _symbol_database
from google.protobuf.internal import builder as _builder
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x0finference.proto\x12\tinference\"\x92\x01\n\x0fHairSwapRequest\x12\x0c\n\x04\x66\x61\x63\x65\x18\x01 \x01(\x0c\x12\r\n\x05shape\x18\x02 \x01(\x0c\x12\r\n\x05\x63olor\x18\x03 \x01(\x0c\x12\x10\n\x08\x62lending\x18\x04 \x01(\t\x12\x15\n\rpoisson_iters\x18\x05 \x01(\x05\x12\x17\n\x0fpoisson_erosion\x18\x06 \x01(\x05\x12\x11\n\tuse_cache\x18\x07 \x01(\x08\"!\n\x10HairSwapResponse\x12\r\n\x05image\x18\x01 \x01(\x0c\x32R\n\x0fHairSwapService\x12?\n\x04swap\x12\x1a.inference.HairSwapRequest\x1a\x1b.inference.HairSwapResponseb\x06proto3')
_globals = globals()
_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals)
_builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, 'inference_pb2', _globals)
if not _descriptor._USE_C_DESCRIPTORS:
DESCRIPTOR._loaded_options = None
_globals['_HAIRSWAPREQUEST']._serialized_start=31
_globals['_HAIRSWAPREQUEST']._serialized_end=177
_globals['_HAIRSWAPRESPONSE']._serialized_start=179
_globals['_HAIRSWAPRESPONSE']._serialized_end=212
_globals['_HAIRSWAPSERVICE']._serialized_start=214
_globals['_HAIRSWAPSERVICE']._serialized_end=296
# @@protoc_insertion_point(module_scope)