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ultralytics 8.0.56 PyTorch 2.0 support and minor fixes (#1538)

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Co-authored-by: N-Friederich <127681326+N-Friederich@users.noreply.github.com>
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Co-authored-by: Aman Agarwal <amanag.11@gmail.com>
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Co-authored-by: Nadav Eidelstein <30617226+nodeav@users.noreply.github.com>
This commit is contained in:
Glenn Jocher
2023-03-24 00:22:20 +01:00
committed by GitHub
parent 8c8c43922c
commit 28e48be5b6
18 changed files with 149 additions and 88 deletions
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1
ultralytics/yolo/v8/detect/train.py
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@ -134,6 +134,7 @@ class Loss:
else:
i = targets[:, 0] # image index
_, counts = i.unique(return_counts=True)
counts = counts.to(dtype=torch.int32)
out = torch.zeros(batch_size, counts.max(), 5, device=self.device)
for j in range(batch_size):
matches = i == j

13
ultralytics/yolo/v8/detect/val.py
View File

@ -108,8 +108,9 @@ class DetectionValidator(BaseValidator):
# 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:
file = self.save_dir / 'labels' / f'{Path(batch["im_file"][si]).stem}.txt'
self.save_one_txt(predn, self.args.save_conf, shape, file)
def finalize_metrics(self, *args, **kwargs):
self.metrics.speed = self.speed
@ -197,6 +198,14 @@ class DetectionValidator(BaseValidator):
fname=self.save_dir / f'val_batch{ni}_pred.jpg',
names=self.names) # pred
def save_one_txt(self, predn, save_conf, shape, file):
gn = torch.tensor(shape)[[1, 0, 1, 0]] # normalization gain whwh
for *xyxy, conf, cls in predn.tolist():
xywh = (ops.xyxy2xywh(torch.tensor(xyxy).view(1, 4)) / gn).view(-1).tolist() # normalized xywh
line = (cls, *xywh, conf) if save_conf else (cls, *xywh) # label format
with open(file, 'a') as f:
f.write(('%g ' * len(line)).rstrip() % line + '\n')
def pred_to_json(self, predn, filename):
stem = Path(filename).stem
image_id = int(stem) if stem.isnumeric() else stem