ultralytics 8.0.105 classification hyp fix and new onplot callbacks (#2684)

Co-authored-by: ayush chaurasia <ayush.chaurarsia@gmail.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Ivan Shcheklein <shcheklein@gmail.com>
This commit is contained in:
Glenn Jocher
2023-05-17 19:10:20 +02:00
committed by GitHub
parent b1119d512e
commit 23fc50641c
92 changed files with 378 additions and 206 deletions

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@ -65,11 +65,12 @@ class PoseTrainer(v8.detect.DetectionTrainer):
bboxes,
kpts=kpts,
paths=paths,
fname=self.save_dir / f'train_batch{ni}.jpg')
fname=self.save_dir / f'train_batch{ni}.jpg',
on_plot=self.on_plot)
def plot_metrics(self):
"""Plots training/val metrics."""
plot_results(file=self.csv, pose=True) # save results.png
plot_results(file=self.csv, pose=True, on_plot=self.on_plot) # save results.png
# Criterion class for computing training losses

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@ -18,7 +18,7 @@ class PoseValidator(DetectionValidator):
"""Initialize a 'PoseValidator' object with custom parameters and assigned attributes."""
super().__init__(dataloader, save_dir, pbar, args, _callbacks)
self.args.task = 'pose'
self.metrics = PoseMetrics(save_dir=self.save_dir)
self.metrics = PoseMetrics(save_dir=self.save_dir, on_plot=self.on_plot)
def preprocess(self, batch):
"""Preprocesses the batch by converting the 'keypoints' data into a float and moving it to the device."""
@ -150,7 +150,8 @@ class PoseValidator(DetectionValidator):
kpts=batch['keypoints'],
paths=batch['im_file'],
fname=self.save_dir / f'val_batch{ni}_labels.jpg',
names=self.names)
names=self.names,
on_plot=self.on_plot)
def plot_predictions(self, batch, preds, ni):
"""Plots predictions for YOLO model."""
@ -160,7 +161,8 @@ class PoseValidator(DetectionValidator):
kpts=pred_kpts,
paths=batch['im_file'],
fname=self.save_dir / f'val_batch{ni}_pred.jpg',
names=self.names) # pred
names=self.names,
on_plot=self.on_plot) # pred
def pred_to_json(self, predn, filename):
"""Converts YOLO predictions to COCO JSON format."""