tfa.losses.GIoULoss | TensorFlow Addons

tfa.losses.GIoULoss ... Implements the GIoU loss function. ... GIoU loss was first introduced in the Generalized Intersection over Union: A Metric ... Install Learn Introduction NewtoTensorFlow? 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ViewsourceonGitHub ImplementstheGIoUlossfunction. tfa.losses.GIoULoss( mode:str='giou', reduction:str=tf.keras.losses.Reduction.AUTO, name:Optional[str]='giou_loss' ) GIoUlosswasfirstintroducedinthe GeneralizedIntersectionoverUnion: AMetricandALossforBoundingBoxRegression. GIoUisanenhancementformodelswhichuseIoUinobjectdetection. Usage: gl=tfa.losses.GIoULoss() boxes1=tf.constant([[4.0,3.0,7.0,5.0],[5.0,6.0,10.0,7.0]]) boxes2=tf.constant([[3.0,4.0,6.0,8.0],[14.0,14.0,15.0,15.0]]) loss=gl(boxes1,boxes2) loss Usagewithtf.kerasAPI: model=tf.keras.Model() model.compile('sgd',loss=tfa.losses.GIoULoss()) Args mode oneof['giou','iou'],decidedtocalculateGIoUorIoUloss. Methods from_config @classmethod from_config( config ) InstantiatesaLossfromitsconfig(outputofget_config()). Args config Outputofget_config(). Returns ALossinstance. get_config Viewsource get_config() ReturnstheconfigdictionaryforaLossinstance. __call__ __call__( y_true,y_pred,sample_weight=None ) InvokestheLossinstance. Args y_true Groundtruthvalues.shape=[batch_size,d0,..dN],except sparselossfunctionssuchassparsecategoricalcrossentropywhere shape=[batch_size,d0,..dN-1] y_pred Thepredictedvalues.shape=[batch_size,d0,..dN] sample_weight Optionalsample_weightactsasacoefficientforthe loss.Ifascalarisprovided,thenthelossissimplyscaledbythe givenvalue.Ifsample_weightisatensorofsize[batch_size],then thetotallossforeachsampleofthebatchisrescaledbythe correspondingelementinthesample_weightvector.Iftheshapeof sample_weightis[batch_size,d0,..dN-1](orcanbebroadcastedto thisshape),theneachlosselementofy_predisscaled bythecorrespondingvalueofsample_weight.(NoteondN-1:allloss functionsreduceby1dimension,usuallyaxis=-1.) Returns WeightedlossfloatTensor.IfreductionisNONE,thishas shape[batch_size,d0,..dN-1];otherwise,itisscalar.(NotedN-1 becausealllossfunctionsreduceby1dimension,usuallyaxis=-1.) Raises ValueError Iftheshapeofsample_weightisinvalid. 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