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Update val max_dets=args.max_det=300 (#3051)

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Glenn Jocher 2023-06-07 08:17:39 +02:00 committed by GitHub
parent 8ac8ff72ae
commit 3ae81ee9d1
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3 changed files with 10 additions and 9 deletions
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2
ultralytics/yolo/v8/detect/val.py
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@ -223,7 +223,7 @@ class DetectionValidator(BaseValidator):
def plot_predictions(self, batch, preds, ni):
"""Plots predicted bounding boxes on input images and saves the result."""
plot_images(batch['img'],
*output_to_target(preds, max_det=15),
*output_to_target(preds, max_det=self.args.max_det),
paths=batch['im_file'],
fname=self.save_dir / f'val_batch{ni}_pred.jpg',
names=self.names,

2
ultralytics/yolo/v8/pose/val.py
View File

@ -156,7 +156,7 @@ class PoseValidator(DetectionValidator):
"""Plots predictions for YOLO model."""
pred_kpts = torch.cat([p[:, 6:].view(-1, *self.kpt_shape)[:15] for p in preds], 0)
plot_images(batch['img'],
*output_to_target(preds, max_det=15),
*output_to_target(preds, max_det=self.args.max_det),
kpts=pred_kpts,
paths=batch['im_file'],
fname=self.save_dir / f'val_batch{ni}_pred.jpg',

15
ultralytics/yolo/v8/segment/val.py
View File

@ -179,13 +179,14 @@ class SegmentationValidator(DetectionValidator):
def plot_predictions(self, batch, preds, ni):
"""Plots batch predictions with masks and bounding boxes."""
plot_images(batch['img'],
*output_to_target(preds[0], max_det=15),
torch.cat(self.plot_masks, dim=0) if len(self.plot_masks) else self.plot_masks,
paths=batch['im_file'],
fname=self.save_dir / f'val_batch{ni}_pred.jpg',
names=self.names,
on_plot=self.on_plot) # pred
plot_images(
batch['img'],
*output_to_target(preds[0], max_det=15), # not set to self.args.max_det due to slow plotting speed
torch.cat(self.plot_masks, dim=0) if len(self.plot_masks) else self.plot_masks,
paths=batch['im_file'],
fname=self.save_dir / f'val_batch{ni}_pred.jpg',
names=self.names,
on_plot=self.on_plot) # pred
self.plot_masks.clear()
def pred_to_json(self, predn, filename, pred_masks):