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18 lines
605 B
18 lines
605 B
import torch |
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from ultralytics.yolo.engine.validator import BaseValidator |
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class ClassificationValidator(BaseValidator): |
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def init_metrics(self): |
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self.correct = torch.tensor([]) |
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def update_metrics(self, preds, targets): |
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correct_in_batch = (targets[:, None] == preds).float() |
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self.correct = torch.cat((self.correct, correct_in_batch)) |
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def get_stats(self): |
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acc = torch.stack((self.correct[:, 0], self.correct.max(1).values), dim=1) # (top1, top5) accuracy |
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top1, top5 = acc.mean(0).tolist() |
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return {"top1": top1, "top5": top5, "fitness": top5}
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