HongChuang/ultralytics-ascend
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions 3

Simplify postprocessing methods (#4497)

Browse source
This commit is contained in:
Glenn Jocher 2023-08-22 19:01:33 +02:00 • committed by GitHub
parent 6da8f7f51e
commit b890e1c937
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
8 changed files with 45 additions and 61 deletions
Download patch file Download diff file Expand all files Collapse all files

17
ultralytics/models/yolo/pose/predict.py
View file

@ -38,18 +38,13 @@ class PosePredictor(DetectionPredictor):
nc=len(self.model.names))
results = []
is_list = isinstance(orig_imgs, list) # input images are a list, not a torch.Tensor
for i, pred in enumerate(preds):
orig_img = orig_imgs[i] if isinstance(orig_imgs, list) else orig_imgs
shape = orig_img.shape
pred[:, :4] = ops.scale_boxes(img.shape[2:], pred[:, :4], shape).round()
orig_img = orig_imgs[i] if is_list else orig_imgs
pred[:, :4] = ops.scale_boxes(img.shape[2:], pred[:, :4], orig_img.shape).round()
pred_kpts = pred[:, 6:].view(len(pred), *self.model.kpt_shape) if len(pred) else pred[:, 6:]
pred_kpts = ops.scale_coords(img.shape[2:], pred_kpts, shape)
path = self.batch[0]
img_path = path[i] if isinstance(path, list) else path
pred_kpts = ops.scale_coords(img.shape[2:], pred_kpts, orig_img.shape)
img_path = self.batch[0][i]
results.append(
Results(orig_img=orig_img,
path=img_path,
names=self.model.names,
boxes=pred[:, :6],
keypoints=pred_kpts))
Results(orig_img, path=img_path, names=self.model.names, boxes=pred[:, :6], keypoints=pred_kpts))
return results