# Generated by the protocol buffer compiler. DO NOT EDIT! # source: object_detection/protos/losses.proto import sys,getpass _b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1')) 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() DESCRIPTOR = _descriptor.FileDescriptor( name='object_detection/protos/losses.proto', package='object_detection.protos', syntax='proto2', serialized_options=None, serialized_pb=_b('\n$object_detection/protos/losses.proto\x12\x17object_detection.protos\"\xfe\x05\n\x04Loss\x12\x44\n\x11localization_loss\x18\x01 \x01(\x0b\x32).object_detection.protos.LocalizationLoss\x12H\n\x13\x63lassification_loss\x18\x02 \x01(\x0b\x32+.object_detection.protos.ClassificationLoss\x12\x45\n\x12hard_example_miner\x18\x03 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\x01(\x02:\x01\x31\"w\n%BootstrappedSigmoidClassificationLoss\x12\r\n\x05\x61lpha\x18\x01 \x01(\x02\x12\x1d\n\x0ehard_bootstrap\x18\x02 \x01(\x08:\x05\x66\x61lse\x12 \n\x11\x61nchorwise_output\x18\x03 \x01(\x08:\x05\x66\x61lse\"\xa1\x02\n\x10HardExampleMiner\x12\x1d\n\x11num_hard_examples\x18\x01 \x01(\x05:\x02\x36\x34\x12\x1a\n\riou_threshold\x18\x02 \x01(\x02:\x03\x30.7\x12K\n\tloss_type\x18\x03 \x01(\x0e\x32\x32.object_detection.protos.HardExampleMiner.LossType:\x04\x42OTH\x12%\n\x1amax_negatives_per_positive\x18\x04 \x01(\x05:\x01\x30\x12\"\n\x17min_negatives_per_image\x18\x05 \x01(\x05:\x01\x30\":\n\x08LossType\x12\x08\n\x04\x42OTH\x10\x00\x12\x12\n\x0e\x43LASSIFICATION\x10\x01\x12\x10\n\x0cLOCALIZATION\x10\x02\">\n\x14RandomExampleSampler\x12&\n\x18positive_sample_fraction\x18\x01 \x01(\x02:\x04\x30.01') ) _LOSS_EXPECTEDLOSSWEIGHTS = _descriptor.EnumDescriptor( name='ExpectedLossWeights', full_name='object_detection.protos.Loss.ExpectedLossWeights', filename=None, file=DESCRIPTOR, values=[ _descriptor.EnumValueDescriptor( name='NONE', index=0, number=0, serialized_options=None, type=None), _descriptor.EnumValueDescriptor( name='EXPECTED_SAMPLING', index=1, number=1, serialized_options=None, type=None), _descriptor.EnumValueDescriptor( name='REWEIGHTING_UNMATCHED_ANCHORS', index=2, number=2, serialized_options=None, type=None), ], containing_type=None, serialized_options=None, serialized_start=743, serialized_end=832, ) _sym_db.RegisterEnumDescriptor(_LOSS_EXPECTEDLOSSWEIGHTS) _HARDEXAMPLEMINER_LOSSTYPE = _descriptor.EnumDescriptor( name='LossType', full_name='object_detection.protos.HardExampleMiner.LossType', filename=None, file=DESCRIPTOR, values=[ _descriptor.EnumValueDescriptor( name='BOTH', index=0, number=0, serialized_options=None, type=None), _descriptor.EnumValueDescriptor( name='CLASSIFICATION', index=1, number=1, serialized_options=None, type=None), _descriptor.EnumValueDescriptor( name='LOCALIZATION', index=2, number=2, serialized_options=None, type=None), ], containing_type=None, serialized_options=None, serialized_start=2547, serialized_end=2605, ) _sym_db.RegisterEnumDescriptor(_HARDEXAMPLEMINER_LOSSTYPE) _LOSS_EQUALIZATIONLOSS = _descriptor.Descriptor( name='EqualizationLoss', full_name='object_detection.protos.Loss.EqualizationLoss', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='weight', full_name='object_detection.protos.Loss.EqualizationLoss.weight', index=0, number=1, type=2, cpp_type=6, label=1, has_default_value=True, 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='exclude_prefixes', full_name='object_detection.protos.Loss.EqualizationLoss.exclude_prefixes', index=1, number=2, 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='proto2', extension_ranges=[], oneofs=[ ], serialized_start=678, serialized_end=741, ) _LOSS = _descriptor.Descriptor( name='Loss', full_name='object_detection.protos.Loss', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='localization_loss', full_name='object_detection.protos.Loss.localization_loss', 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='classification_loss', full_name='object_detection.protos.Loss.classification_loss', 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='hard_example_miner', full_name='object_detection.protos.Loss.hard_example_miner', 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='classification_weight', full_name='object_detection.protos.Loss.classification_weight', index=3, number=4, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(1), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='localization_weight', full_name='object_detection.protos.Loss.localization_weight', index=4, number=5, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(1), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='random_example_sampler', full_name='object_detection.protos.Loss.random_example_sampler', index=5, number=6, 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='equalization_loss', full_name='object_detection.protos.Loss.equalization_loss', index=6, number=7, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='expected_loss_weights', full_name='object_detection.protos.Loss.expected_loss_weights', index=7, number=18, type=14, cpp_type=8, label=1, has_default_value=True, 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='min_num_negative_samples', full_name='object_detection.protos.Loss.min_num_negative_samples', index=8, number=19, type=2, cpp_type=6, label=1, has_default_value=True, 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='desired_negative_sampling_ratio', full_name='object_detection.protos.Loss.desired_negative_sampling_ratio', index=9, number=20, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(3), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[_LOSS_EQUALIZATIONLOSS, ], enum_types=[ _LOSS_EXPECTEDLOSSWEIGHTS, ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=66, serialized_end=832, ) _LOCALIZATIONLOSS = _descriptor.Descriptor( name='LocalizationLoss', full_name='object_detection.protos.LocalizationLoss', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='weighted_l2', full_name='object_detection.protos.LocalizationLoss.weighted_l2', 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='weighted_smooth_l1', full_name='object_detection.protos.LocalizationLoss.weighted_smooth_l1', 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='weighted_iou', full_name='object_detection.protos.LocalizationLoss.weighted_iou', 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), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ _descriptor.OneofDescriptor( name='localization_loss', full_name='object_detection.protos.LocalizationLoss.localization_loss', index=0, containing_type=None, fields=[]), ], serialized_start=835, serialized_end=1117, ) _WEIGHTEDL2LOCALIZATIONLOSS = _descriptor.Descriptor( name='WeightedL2LocalizationLoss', full_name='object_detection.protos.WeightedL2LocalizationLoss', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='anchorwise_output', full_name='object_detection.protos.WeightedL2LocalizationLoss.anchorwise_output', index=0, number=1, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=1119, serialized_end=1181, ) _WEIGHTEDSMOOTHL1LOCALIZATIONLOSS = _descriptor.Descriptor( name='WeightedSmoothL1LocalizationLoss', full_name='object_detection.protos.WeightedSmoothL1LocalizationLoss', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='anchorwise_output', full_name='object_detection.protos.WeightedSmoothL1LocalizationLoss.anchorwise_output', index=0, number=1, type=8, cpp_type=7, label=1, has_default_value=True, 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='delta', full_name='object_detection.protos.WeightedSmoothL1LocalizationLoss.delta', index=1, number=2, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(1), 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='proto2', extension_ranges=[], oneofs=[ ], serialized_start=1183, serialized_end=1269, ) _WEIGHTEDIOULOCALIZATIONLOSS = _descriptor.Descriptor( name='WeightedIOULocalizationLoss', full_name='object_detection.protos.WeightedIOULocalizationLoss', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=1271, serialized_end=1300, ) _CLASSIFICATIONLOSS = _descriptor.Descriptor( name='ClassificationLoss', full_name='object_detection.protos.ClassificationLoss', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='weighted_sigmoid', full_name='object_detection.protos.ClassificationLoss.weighted_sigmoid', 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='weighted_softmax', full_name='object_detection.protos.ClassificationLoss.weighted_softmax', 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='weighted_logits_softmax', full_name='object_detection.protos.ClassificationLoss.weighted_logits_softmax', index=2, number=5, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='bootstrapped_sigmoid', full_name='object_detection.protos.ClassificationLoss.bootstrapped_sigmoid', 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='weighted_sigmoid_focal', full_name='object_detection.protos.ClassificationLoss.weighted_sigmoid_focal', index=4, 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='proto2', extension_ranges=[], oneofs=[ _descriptor.OneofDescriptor( name='classification_loss', full_name='object_detection.protos.ClassificationLoss.classification_loss', index=0, containing_type=None, fields=[]), ], serialized_start=1303, serialized_end=1817, ) _WEIGHTEDSIGMOIDCLASSIFICATIONLOSS = _descriptor.Descriptor( name='WeightedSigmoidClassificationLoss', full_name='object_detection.protos.WeightedSigmoidClassificationLoss', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='anchorwise_output', full_name='object_detection.protos.WeightedSigmoidClassificationLoss.anchorwise_output', index=0, number=1, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=1819, serialized_end=1888, ) _SIGMOIDFOCALCLASSIFICATIONLOSS = _descriptor.Descriptor( name='SigmoidFocalClassificationLoss', full_name='object_detection.protos.SigmoidFocalClassificationLoss', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='anchorwise_output', full_name='object_detection.protos.SigmoidFocalClassificationLoss.anchorwise_output', index=0, number=1, type=8, cpp_type=7, label=1, has_default_value=True, 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='gamma', full_name='object_detection.protos.SigmoidFocalClassificationLoss.gamma', index=1, number=2, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(2), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='alpha', full_name='object_detection.protos.SigmoidFocalClassificationLoss.alpha', 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), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=1890, serialized_end=1989, ) _WEIGHTEDSOFTMAXCLASSIFICATIONLOSS = _descriptor.Descriptor( name='WeightedSoftmaxClassificationLoss', full_name='object_detection.protos.WeightedSoftmaxClassificationLoss', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='anchorwise_output', full_name='object_detection.protos.WeightedSoftmaxClassificationLoss.anchorwise_output', index=0, number=1, type=8, cpp_type=7, label=1, has_default_value=True, 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='logit_scale', full_name='object_detection.protos.WeightedSoftmaxClassificationLoss.logit_scale', index=1, number=2, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(1), 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='proto2', extension_ranges=[], oneofs=[ ], serialized_start=1991, serialized_end=2084, ) _WEIGHTEDSOFTMAXCLASSIFICATIONAGAINSTLOGITSLOSS = _descriptor.Descriptor( name='WeightedSoftmaxClassificationAgainstLogitsLoss', full_name='object_detection.protos.WeightedSoftmaxClassificationAgainstLogitsLoss', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='anchorwise_output', full_name='object_detection.protos.WeightedSoftmaxClassificationAgainstLogitsLoss.anchorwise_output', index=0, number=1, type=8, cpp_type=7, label=1, has_default_value=True, 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='logit_scale', full_name='object_detection.protos.WeightedSoftmaxClassificationAgainstLogitsLoss.logit_scale', index=1, number=2, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(1), 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='proto2', extension_ranges=[], oneofs=[ ], serialized_start=2086, serialized_end=2192, ) _BOOTSTRAPPEDSIGMOIDCLASSIFICATIONLOSS = _descriptor.Descriptor( name='BootstrappedSigmoidClassificationLoss', full_name='object_detection.protos.BootstrappedSigmoidClassificationLoss', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='alpha', full_name='object_detection.protos.BootstrappedSigmoidClassificationLoss.alpha', 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='hard_bootstrap', full_name='object_detection.protos.BootstrappedSigmoidClassificationLoss.hard_bootstrap', index=1, number=2, type=8, cpp_type=7, label=1, has_default_value=True, 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='anchorwise_output', full_name='object_detection.protos.BootstrappedSigmoidClassificationLoss.anchorwise_output', index=2, number=3, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=2194, serialized_end=2313, ) _HARDEXAMPLEMINER = _descriptor.Descriptor( name='HardExampleMiner', full_name='object_detection.protos.HardExampleMiner', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='num_hard_examples', full_name='object_detection.protos.HardExampleMiner.num_hard_examples', index=0, number=1, type=5, cpp_type=1, label=1, has_default_value=True, default_value=64, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='iou_threshold', full_name='object_detection.protos.HardExampleMiner.iou_threshold', index=1, number=2, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(0.7), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='loss_type', full_name='object_detection.protos.HardExampleMiner.loss_type', index=2, number=3, type=14, cpp_type=8, label=1, has_default_value=True, 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='max_negatives_per_positive', full_name='object_detection.protos.HardExampleMiner.max_negatives_per_positive', index=3, number=4, type=5, cpp_type=1, label=1, has_default_value=True, 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='min_negatives_per_image', full_name='object_detection.protos.HardExampleMiner.min_negatives_per_image', index=4, number=5, type=5, cpp_type=1, label=1, has_default_value=True, 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=[ _HARDEXAMPLEMINER_LOSSTYPE, ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=2316, serialized_end=2605, ) _RANDOMEXAMPLESAMPLER = _descriptor.Descriptor( name='RandomExampleSampler', full_name='object_detection.protos.RandomExampleSampler', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='positive_sample_fraction', full_name='object_detection.protos.RandomExampleSampler.positive_sample_fraction', index=0, number=1, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(0.01), 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='proto2', extension_ranges=[], oneofs=[ ], serialized_start=2607, serialized_end=2669, ) _LOSS_EQUALIZATIONLOSS.containing_type = _LOSS _LOSS.fields_by_name['localization_loss'].message_type = _LOCALIZATIONLOSS _LOSS.fields_by_name['classification_loss'].message_type = _CLASSIFICATIONLOSS _LOSS.fields_by_name['hard_example_miner'].message_type = _HARDEXAMPLEMINER _LOSS.fields_by_name['random_example_sampler'].message_type = _RANDOMEXAMPLESAMPLER _LOSS.fields_by_name['equalization_loss'].message_type = _LOSS_EQUALIZATIONLOSS _LOSS.fields_by_name['expected_loss_weights'].enum_type = _LOSS_EXPECTEDLOSSWEIGHTS _LOSS_EXPECTEDLOSSWEIGHTS.containing_type = _LOSS _LOCALIZATIONLOSS.fields_by_name['weighted_l2'].message_type = _WEIGHTEDL2LOCALIZATIONLOSS _LOCALIZATIONLOSS.fields_by_name['weighted_smooth_l1'].message_type = _WEIGHTEDSMOOTHL1LOCALIZATIONLOSS _LOCALIZATIONLOSS.fields_by_name['weighted_iou'].message_type = _WEIGHTEDIOULOCALIZATIONLOSS _LOCALIZATIONLOSS.oneofs_by_name['localization_loss'].fields.append( _LOCALIZATIONLOSS.fields_by_name['weighted_l2']) _LOCALIZATIONLOSS.fields_by_name['weighted_l2'].containing_oneof = _LOCALIZATIONLOSS.oneofs_by_name['localization_loss'] _LOCALIZATIONLOSS.oneofs_by_name['localization_loss'].fields.append( _LOCALIZATIONLOSS.fields_by_name['weighted_smooth_l1']) _LOCALIZATIONLOSS.fields_by_name['weighted_smooth_l1'].containing_oneof = _LOCALIZATIONLOSS.oneofs_by_name['localization_loss'] _LOCALIZATIONLOSS.oneofs_by_name['localization_loss'].fields.append( _LOCALIZATIONLOSS.fields_by_name['weighted_iou']) _LOCALIZATIONLOSS.fields_by_name['weighted_iou'].containing_oneof = _LOCALIZATIONLOSS.oneofs_by_name['localization_loss'] _CLASSIFICATIONLOSS.fields_by_name['weighted_sigmoid'].message_type = _WEIGHTEDSIGMOIDCLASSIFICATIONLOSS _CLASSIFICATIONLOSS.fields_by_name['weighted_softmax'].message_type = _WEIGHTEDSOFTMAXCLASSIFICATIONLOSS _CLASSIFICATIONLOSS.fields_by_name['weighted_logits_softmax'].message_type = _WEIGHTEDSOFTMAXCLASSIFICATIONAGAINSTLOGITSLOSS _CLASSIFICATIONLOSS.fields_by_name['bootstrapped_sigmoid'].message_type = _BOOTSTRAPPEDSIGMOIDCLASSIFICATIONLOSS _CLASSIFICATIONLOSS.fields_by_name['weighted_sigmoid_focal'].message_type = _SIGMOIDFOCALCLASSIFICATIONLOSS _CLASSIFICATIONLOSS.oneofs_by_name['classification_loss'].fields.append( _CLASSIFICATIONLOSS.fields_by_name['weighted_sigmoid']) _CLASSIFICATIONLOSS.fields_by_name['weighted_sigmoid'].containing_oneof = _CLASSIFICATIONLOSS.oneofs_by_name['classification_loss'] _CLASSIFICATIONLOSS.oneofs_by_name['classification_loss'].fields.append( _CLASSIFICATIONLOSS.fields_by_name['weighted_softmax']) _CLASSIFICATIONLOSS.fields_by_name['weighted_softmax'].containing_oneof = _CLASSIFICATIONLOSS.oneofs_by_name['classification_loss'] _CLASSIFICATIONLOSS.oneofs_by_name['classification_loss'].fields.append( _CLASSIFICATIONLOSS.fields_by_name['weighted_logits_softmax']) _CLASSIFICATIONLOSS.fields_by_name['weighted_logits_softmax'].containing_oneof = _CLASSIFICATIONLOSS.oneofs_by_name['classification_loss'] _CLASSIFICATIONLOSS.oneofs_by_name['classification_loss'].fields.append( _CLASSIFICATIONLOSS.fields_by_name['bootstrapped_sigmoid']) _CLASSIFICATIONLOSS.fields_by_name['bootstrapped_sigmoid'].containing_oneof = _CLASSIFICATIONLOSS.oneofs_by_name['classification_loss'] _CLASSIFICATIONLOSS.oneofs_by_name['classification_loss'].fields.append( _CLASSIFICATIONLOSS.fields_by_name['weighted_sigmoid_focal']) _CLASSIFICATIONLOSS.fields_by_name['weighted_sigmoid_focal'].containing_oneof = _CLASSIFICATIONLOSS.oneofs_by_name['classification_loss'] _HARDEXAMPLEMINER.fields_by_name['loss_type'].enum_type = _HARDEXAMPLEMINER_LOSSTYPE _HARDEXAMPLEMINER_LOSSTYPE.containing_type = _HARDEXAMPLEMINER DESCRIPTOR.message_types_by_name['Loss'] = _LOSS DESCRIPTOR.message_types_by_name['LocalizationLoss'] = _LOCALIZATIONLOSS DESCRIPTOR.message_types_by_name['WeightedL2LocalizationLoss'] = _WEIGHTEDL2LOCALIZATIONLOSS DESCRIPTOR.message_types_by_name['WeightedSmoothL1LocalizationLoss'] = _WEIGHTEDSMOOTHL1LOCALIZATIONLOSS DESCRIPTOR.message_types_by_name['WeightedIOULocalizationLoss'] = _WEIGHTEDIOULOCALIZATIONLOSS DESCRIPTOR.message_types_by_name['ClassificationLoss'] = _CLASSIFICATIONLOSS DESCRIPTOR.message_types_by_name['WeightedSigmoidClassificationLoss'] = _WEIGHTEDSIGMOIDCLASSIFICATIONLOSS DESCRIPTOR.message_types_by_name['SigmoidFocalClassificationLoss'] = _SIGMOIDFOCALCLASSIFICATIONLOSS DESCRIPTOR.message_types_by_name['WeightedSoftmaxClassificationLoss'] = _WEIGHTEDSOFTMAXCLASSIFICATIONLOSS DESCRIPTOR.message_types_by_name['WeightedSoftmaxClassificationAgainstLogitsLoss'] = _WEIGHTEDSOFTMAXCLASSIFICATIONAGAINSTLOGITSLOSS DESCRIPTOR.message_types_by_name['BootstrappedSigmoidClassificationLoss'] = _BOOTSTRAPPEDSIGMOIDCLASSIFICATIONLOSS DESCRIPTOR.message_types_by_name['HardExampleMiner'] = _HARDEXAMPLEMINER DESCRIPTOR.message_types_by_name['RandomExampleSampler'] = _RANDOMEXAMPLESAMPLER _sym_db.RegisterFileDescriptor(DESCRIPTOR) Loss = _reflection.GeneratedProtocolMessageType('Loss', (_message.Message,), dict( EqualizationLoss = _reflection.GeneratedProtocolMessageType('EqualizationLoss', (_message.Message,), dict( DESCRIPTOR = _LOSS_EQUALIZATIONLOSS, __module__ = 'object_detection.protos.losses_pb2' # @@protoc_insertion_point(class_scope:object_detection.protos.Loss.EqualizationLoss) )) , DESCRIPTOR = _LOSS, __module__ = 'object_detection.protos.losses_pb2' # @@protoc_insertion_point(class_scope:object_detection.protos.Loss) )) _sym_db.RegisterMessage(Loss) _sym_db.RegisterMessage(Loss.EqualizationLoss) LocalizationLoss = _reflection.GeneratedProtocolMessageType('LocalizationLoss', (_message.Message,), dict( DESCRIPTOR = _LOCALIZATIONLOSS, __module__ = 'object_detection.protos.losses_pb2' # @@protoc_insertion_point(class_scope:object_detection.protos.LocalizationLoss) )) _sym_db.RegisterMessage(LocalizationLoss) WeightedL2LocalizationLoss = _reflection.GeneratedProtocolMessageType('WeightedL2LocalizationLoss', (_message.Message,), dict( DESCRIPTOR = _WEIGHTEDL2LOCALIZATIONLOSS, __module__ = 'object_detection.protos.losses_pb2' # @@protoc_insertion_point(class_scope:object_detection.protos.WeightedL2LocalizationLoss) )) _sym_db.RegisterMessage(WeightedL2LocalizationLoss) WeightedSmoothL1LocalizationLoss = _reflection.GeneratedProtocolMessageType('WeightedSmoothL1LocalizationLoss', (_message.Message,), dict( DESCRIPTOR = _WEIGHTEDSMOOTHL1LOCALIZATIONLOSS, __module__ = 'object_detection.protos.losses_pb2' # @@protoc_insertion_point(class_scope:object_detection.protos.WeightedSmoothL1LocalizationLoss) )) _sym_db.RegisterMessage(WeightedSmoothL1LocalizationLoss) WeightedIOULocalizationLoss = _reflection.GeneratedProtocolMessageType('WeightedIOULocalizationLoss', (_message.Message,), dict( DESCRIPTOR = _WEIGHTEDIOULOCALIZATIONLOSS, __module__ = 'object_detection.protos.losses_pb2' # @@protoc_insertion_point(class_scope:object_detection.protos.WeightedIOULocalizationLoss) )) _sym_db.RegisterMessage(WeightedIOULocalizationLoss) ClassificationLoss = _reflection.GeneratedProtocolMessageType('ClassificationLoss', (_message.Message,), dict( DESCRIPTOR = _CLASSIFICATIONLOSS, __module__ = 'object_detection.protos.losses_pb2' # @@protoc_insertion_point(class_scope:object_detection.protos.ClassificationLoss) )) _sym_db.RegisterMessage(ClassificationLoss) WeightedSigmoidClassificationLoss = _reflection.GeneratedProtocolMessageType('WeightedSigmoidClassificationLoss', (_message.Message,), dict( DESCRIPTOR = _WEIGHTEDSIGMOIDCLASSIFICATIONLOSS, __module__ = 'object_detection.protos.losses_pb2' # @@protoc_insertion_point(class_scope:object_detection.protos.WeightedSigmoidClassificationLoss) )) _sym_db.RegisterMessage(WeightedSigmoidClassificationLoss) SigmoidFocalClassificationLoss = _reflection.GeneratedProtocolMessageType('SigmoidFocalClassificationLoss', (_message.Message,), dict( DESCRIPTOR = _SIGMOIDFOCALCLASSIFICATIONLOSS, __module__ = 'object_detection.protos.losses_pb2' # @@protoc_insertion_point(class_scope:object_detection.protos.SigmoidFocalClassificationLoss) )) _sym_db.RegisterMessage(SigmoidFocalClassificationLoss) WeightedSoftmaxClassificationLoss = _reflection.GeneratedProtocolMessageType('WeightedSoftmaxClassificationLoss', (_message.Message,), dict( DESCRIPTOR = _WEIGHTEDSOFTMAXCLASSIFICATIONLOSS, __module__ = 'object_detection.protos.losses_pb2' # @@protoc_insertion_point(class_scope:object_detection.protos.WeightedSoftmaxClassificationLoss) )) _sym_db.RegisterMessage(WeightedSoftmaxClassificationLoss) WeightedSoftmaxClassificationAgainstLogitsLoss = _reflection.GeneratedProtocolMessageType('WeightedSoftmaxClassificationAgainstLogitsLoss', (_message.Message,), dict( DESCRIPTOR = _WEIGHTEDSOFTMAXCLASSIFICATIONAGAINSTLOGITSLOSS, __module__ = 'object_detection.protos.losses_pb2' # @@protoc_insertion_point(class_scope:object_detection.protos.WeightedSoftmaxClassificationAgainstLogitsLoss) )) _sym_db.RegisterMessage(WeightedSoftmaxClassificationAgainstLogitsLoss) BootstrappedSigmoidClassificationLoss = _reflection.GeneratedProtocolMessageType('BootstrappedSigmoidClassificationLoss', (_message.Message,), dict( DESCRIPTOR = _BOOTSTRAPPEDSIGMOIDCLASSIFICATIONLOSS, __module__ = 'object_detection.protos.losses_pb2' # @@protoc_insertion_point(class_scope:object_detection.protos.BootstrappedSigmoidClassificationLoss) )) _sym_db.RegisterMessage(BootstrappedSigmoidClassificationLoss) HardExampleMiner = _reflection.GeneratedProtocolMessageType('HardExampleMiner', (_message.Message,), dict( DESCRIPTOR = _HARDEXAMPLEMINER, __module__ = 'object_detection.protos.losses_pb2' # @@protoc_insertion_point(class_scope:object_detection.protos.HardExampleMiner) )) _sym_db.RegisterMessage(HardExampleMiner) RandomExampleSampler = _reflection.GeneratedProtocolMessageType('RandomExampleSampler', (_message.Message,), dict( DESCRIPTOR = _RANDOMEXAMPLESAMPLER, __module__ = 'object_detection.protos.losses_pb2' # @@protoc_insertion_point(class_scope:object_detection.protos.RandomExampleSampler) )) _sym_db.RegisterMessage(RandomExampleSampler) # @@protoc_insertion_point(module_scope)