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ultralytics 8.0.94 HUBDatasetStats() Segment and Pose support (#2450)

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: JF Chen <k-2feng@hotmail.com>
Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>
Co-authored-by: Laughing-q <1185102784@qq.com>
This commit is contained in:
Glenn Jocher
2023-05-08 01:59:12 +02:00
committed by GitHub
parent af49a85cf3
commit e21428ca4e
51 changed files with 948 additions and 81 deletions
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5
ultralytics/yolo/v8/classify/train.py
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@ -72,9 +72,8 @@ class ClassificationTrainer(BaseTrainer):
return # dont return ckpt. Classification doesn't support resume
def build_dataset(self, img_path, mode='train'):
dataset = ClassificationDataset(root=img_path, imgsz=self.args.imgsz, augment=mode == 'train')
return dataset
def build_dataset(self, img_path, mode='train', batch=None):
return ClassificationDataset(root=img_path, imgsz=self.args.imgsz, augment=mode == 'train')
def get_dataloader(self, dataset_path, batch_size=16, rank=0, mode='train'):
"""Returns PyTorch DataLoader with transforms to preprocess images for inference."""

3
ultralytics/yolo/v8/classify/val.py
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@ -46,7 +46,8 @@ class ClassificationValidator(BaseValidator):
"""Finalizes metrics of the model such as confusion_matrix and speed."""
self.confusion_matrix.process_cls_preds(self.pred, self.targets)
if self.args.plots:
self.confusion_matrix.plot(save_dir=self.save_dir, names=list(self.names.values()))
for normalize in True, False:
self.confusion_matrix.plot(save_dir=self.save_dir, names=self.names.values(), normalize=normalize)
self.metrics.speed = self.speed
self.metrics.confusion_matrix = self.confusion_matrix