package cortex.api.job.computervision

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Used in: CVModelTrainRequest

• repeated album.augmentation.RequestedAugmentation augmentations = 1

• optional google.protobuf.Int32Value bloat_factor = 2

• bool generate_sample_album = 3

• optional google.protobuf.StringValue sample_album_target_prefix = 4

Used in: ParameterValue

• repeated bool values = 1

• string path = 1

• optional CVModelType model_type = 2

• bool fe_only = 3

• optional common.ModelReference feature_extractor_reference = 1

• optional common.ModelReference cv_model_reference = 2

• optional google.protobuf.StringValue feature_extractor_id = 1

• optional common.ClassReference feature_extractor_class_reference = 2

• repeated album.common.TaggedImage images = 3

• string file_path_prefix = 4

• optional TLModelType model_type = 5

• optional AutoAugmentationParams augmentation_params = 6

• bool tune_feature_extractor = 7

• map<string, ParameterValue> feature_extractor_parameters = 8

• map<string, ParameterValue> model_parameters = 10

• optional table.TableMeta probability_prediction_table = 11

• optional InputSize input_size = 12

• repeated LabelOfInterest labels_of_interest = 13

• optional google.protobuf.DoubleValue default_visual_threshold = 14

• optional google.protobuf.DoubleValue iou_threshold = 15

• optional google.protobuf.DoubleValue feature_extractor_learning_rate = 16

• optional google.protobuf.DoubleValue model_learning_rate = 17

• optional common.ModelReference feature_extractor_reference = 1

• optional common.ModelReference cv_model_reference = 2

• repeated PredictedImage images = 3

• optional common.ConfusionMatrix confusion_matrix = 4

• optional google.protobuf.DoubleValue map = 5

  TODO if more localization-only (or classification-only) summary fields will be introduced, move those to the dedicated summary messages and put oneof here

• repeated album.augmentation.AugmentedImage augmented_images = 6

• optional album.augmentation.AugmentationSummary augmentation_summary = 7

• int64 data_fetch_time = 8

• int64 training_time = 9

• int64 save_model_time = 10

• int64 prediction_time = 11

• optional google.protobuf.DoubleValue reconstruction_loss = 12

  TODO if more autoencoder-only summary fields will be introduced, move those to the dedicated summary messages and put oneof here

• map<string, int64> pipeline_timings = 13

• optional ProbabilityPredictionTableSchema probability_prediction_table_schema = 14

Used in: CVModelImportRequest, EvaluateRequest, PredictRequest

• oneof type

  • TLModel tl_model = 1

  • CustomModel custom_model = 2

Used in: CVModelType

• optional common.ClassReference class_reference = 1

• string model_id = 1

• DeleteResult.Code code = 1

Used in: DeleteResult

• DELETED = 0

• NOT_FOUND = 1

• BEING_USED = 2

• optional CVModelType model_type = 1

• string model_id = 2

• repeated album.common.TaggedImage images = 3

• string file_path_prefix = 4

• repeated LabelOfInterest labels_of_interest = 5

• optional table.TableMeta probability_prediction_table = 6

• optional google.protobuf.DoubleValue default_visual_threshold = 7

• optional google.protobuf.DoubleValue iou_threshold = 8

• repeated PredictedImage images = 1

• optional common.ConfusionMatrix confusion_matrix = 2

• optional google.protobuf.DoubleValue map = 3

  TODO if more localization-only (or classification-only) summary fields will be introduced, move those to the dedicated summary messages and put oneof here

• int64 data_fetch_time = 4

• int64 load_model_time = 5

• int64 score_time = 6

• map<string, int64> pipeline_timings = 7

• optional ProbabilityPredictionTableSchema probability_prediction_table_schema = 8

Used in: ParameterValue

• repeated float values = 1

Used in: CVModelTrainRequest

• int32 width = 1

• int32 height = 2

Used in: ParameterValue

• repeated int32 values = 1

Used in: CVModelTrainRequest, EvaluateRequest, PredictRequest

• string label = 1

• double threshold = 2

Used in: CVModelTrainRequest

• oneof value

  • string string_value = 1

  • int32 int_value = 2

  • float float_value = 3

  • bool boolean_value = 4

  • StringSequenceValue string_values = 5

  • IntSequenceValue int_values = 6

  • FloatSequenceValue float_values = 7

  • BooleanSequenceValue boolean_values = 8

• optional CVModelType model_type = 1

• string model_id = 2

• repeated album.common.Image images = 3

• string file_path_prefix = 4

• repeated LabelOfInterest labels_of_interest = 5

• optional VideoParams video_params = 6

• optional google.protobuf.StringValue target_prefix = 7

• optional table.TableMeta probability_prediction_table = 8

• optional google.protobuf.DoubleValue default_visual_threshold = 9

• repeated PredictedImage images = 1

• optional google.protobuf.Int64Value video_file_size = 2

• int64 data_fetch_time = 3

• int64 load_model_time = 4

• int64 prediction_time = 5

• map<string, int64> pipeline_timings = 6

• optional ProbabilityPredictionTableSchema probability_prediction_table_schema = 7

Used in: CVModelTrainResult, EvaluateResult, PredictResult

• optional album.common.Image image = 1

• repeated PredictedTag predicted_tags = 2

Used in: PredictedImage

• optional album.common.Tag tag = 1

• double confidence = 2

Used in: ProbabilityPredictionTableSchema

• string x_min_column_name = 1

• string x_max_column_name = 2

• string y_min_column_name = 3

• string y_max_column_name = 4

Used in: CVModelTrainResult, EvaluateResult, PredictResult

• repeated table.ProbabilityClassColumn probability_columns = 1

• string image_file_name_column_name = 2

• optional ProbabilityPredictionAreaColumns area_columns = 3

Used in: ParameterValue

• repeated string values = 1

Used in: CVModelType

• optional TLModelType model_type = 1

• optional common.ClassReference feature_extractor_class_reference = 2

Used in: CVModelTrainRequest, TLModel

• oneof type

  • common.ClassReference localizer_type = 1

  • common.ClassReference classifier_type = 2

  • common.ClassReference autoencoder_type = 3

Used in: PredictRequest

• string target_video_file_path = 1

• double video_assemble_frame_rate = 2

• int32 video_assemble_height = 3

• int32 video_assemble_width = 4