def final_dump(self): """ Dump Final metrics on completion of evaluation """ if self.metrics: print("Entire image") acc, acc_cls, mean_iu, fwavacc = evaluate_eval_for_inference( self.hist, args.dataset_cls) print("values: ", acc, acc_cls, mean_iu, fwavacc) print("-------------------") print("Upper") acc, acc_cls, mean_iu, fwavacc = evaluate_eval_for_inference( self.hist_up, args.dataset_cls) print("values: ", acc, acc_cls, mean_iu, fwavacc) print("-------------------") print("Mid 1") acc, acc_cls, mean_iu, fwavacc = evaluate_eval_for_inference( self.hist_mid1, args.dataset_cls) print("values: ", acc, acc_cls, mean_iu, fwavacc) print("-------------------") print("Mid 2") acc, acc_cls, mean_iu, fwavacc = evaluate_eval_for_inference( self.hist_mid2, args.dataset_cls) print("values: ", acc, acc_cls, mean_iu, fwavacc) print("-------------------") print("Lower") acc, acc_cls, mean_iu, fwavacc = evaluate_eval_for_inference( self.hist_down, args.dataset_cls) print("values: ", acc, acc_cls, mean_iu, fwavacc)
def final_dump(self): """ Dump Final metrics on completion of evaluation """ if self.metrics: evaluate_eval_for_inference(self.hist, args.dataset_cls, self.with_f1, beta=self.beta)
def final_dump(self): """ Dump Final metrics on completion of evaluation """ if self.metrics: print("Entire image") acc, acc_cls, mean_iu, fwavacc = evaluate_eval_for_inference(self.hist, args.dataset_cls) print("values: ", acc, acc_cls, mean_iu, fwavacc)