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reverted formatting

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This commit is contained in:
Thomas Friedel 2024-05-26 11:34:04 +02:00
parent 39c20fc953
commit 901ac9c59b
1 changed files with 9 additions and 16 deletions
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25
ultralytics/models/yolov10/predict.py
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@ -12,32 +12,25 @@ class YOLOv10DetectionPredictor(DetectionPredictor):
if isinstance(preds, (list, tuple)):
preds = preds[0]
if preds.shape[-1] != 6:
if preds.shape[-1] == 6:
pass
else:
preds = preds.transpose(-1, -2)
bboxes, scores, labels = ops.v10postprocess(
preds, self.args.max_det, preds.shape[-1] - 4
)
bboxes, scores, labels = ops.v10postprocess(preds, self.args.max_det, preds.shape[-1]-4)
bboxes = ops.xywh2xyxy(bboxes)
preds = torch.cat(
[bboxes, scores.unsqueeze(-1), labels.unsqueeze(-1)], dim=-1
)
preds = torch.cat([bboxes, scores.unsqueeze(-1), labels.unsqueeze(-1)], dim=-1)
mask = preds[..., 4] > self.args.conf
# Filter predictions using the mask and keep batch dimension
filtered_preds = [p[mask[idx]] for idx, p in enumerate(preds)]
preds = [p[mask[idx]] for idx, p in enumerate(preds)]
if not isinstance(
orig_imgs, list
): # input images are a torch.Tensor, not a list
if not isinstance(orig_imgs, list): # input images are a torch.Tensor, not a list
orig_imgs = ops.convert_torch2numpy_batch(orig_imgs)
results = []
for i, pred in enumerate(filtered_preds):
for i, pred in enumerate(preds):
orig_img = orig_imgs[i]
pred[:, :4] = ops.scale_boxes(img.shape[2:], pred[:, :4], orig_img.shape)
img_path = self.batch[0][i]
results.append(
Results(orig_img, path=img_path, names=self.model.names, boxes=pred)
)
results.append(Results(orig_img, path=img_path, names=self.model.names, boxes=pred))
return results