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ultralytics 8.2.59 use Results.save_txt for validation (#14496)

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Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Laughing 2024-07-18 06:17:25 +08:00 • committed by GitHub
parent ebf7dcf5a8
commit bfcd85323d
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7 changed files with 83 additions and 32 deletions
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22
ultralytics/models/yolo/pose/val.py
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@ -147,8 +147,14 @@ class PoseValidator(DetectionValidator):
# Save
if self.args.save_json:
self.pred_to_json(predn, batch["im_file"][si])
# if self.args.save_txt:
# save_one_txt(predn, save_conf, shape, file=save_dir / 'labels' / f'{path.stem}.txt')
if self.args.save_txt:
self.save_one_txt(
predn,
pred_kpts,
self.args.save_conf,
pbatch["ori_shape"],
self.save_dir / "labels" / f'{Path(batch["im_file"][si]).stem}.txt',
)
def _process_batch(self, detections, gt_bboxes, gt_cls, pred_kpts=None, gt_kpts=None):
"""
@ -217,6 +223,18 @@ class PoseValidator(DetectionValidator):
on_plot=self.on_plot,
) # pred
def save_one_txt(self, predn, pred_kpts, save_conf, shape, file):
"""Save YOLO detections to a txt file in normalized coordinates in a specific format."""
from ultralytics.engine.results import Results
Results(
np.zeros((shape[0], shape[1]), dtype=np.uint8),
path=None,
names=self.names,
boxes=predn[:, :6],
keypoints=pred_kpts,
).save_txt(file, save_conf=save_conf)
def pred_to_json(self, predn, filename):
"""Converts YOLO predictions to COCO JSON format."""
stem = Path(filename).stem