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)
