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ultralytics 8.0.98 add Baidu RT-DETR models (#2527)

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Co-authored-by: Kalen Michael <kalenmike@gmail.com>
Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Yonghye Kwon <developer.0hye@gmail.com>
Co-authored-by: Dowon <ks2515@naver.com>
This commit is contained in:
Glenn Jocher
2023-05-11 01:15:20 +02:00
committed by GitHub
parent d1107ca4cb
commit 229119c376
33 changed files with 2172 additions and 834 deletions
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16
ultralytics/yolo/engine/predictor.py
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@ -115,9 +115,7 @@ class BasePredictor:
im (torch.Tensor | List(np.ndarray)): (N, 3, h, w) for tensor, [(h, w, 3) x N] for list.
"""
if not isinstance(im, torch.Tensor):
same_shapes = all(x.shape == im[0].shape for x in im)
auto = same_shapes and self.model.pt
im = np.stack([LetterBox(self.imgsz, auto=auto, stride=self.model.stride)(image=x) for x in im])
im = np.stack(self.pre_transform(im))
im = im[..., ::-1].transpose((0, 3, 1, 2)) # BGR to RGB, BHWC to BCHW, (n, 3, h, w)
im = np.ascontiguousarray(im) # contiguous
im = torch.from_numpy(im)
@ -127,6 +125,18 @@ class BasePredictor:
img /= 255 # 0 - 255 to 0.0 - 1.0
return img
def pre_transform(self, im):
"""Pre-tranform input image before inference.
Args:
im (List(np.ndarray)): (N, 3, h, w) for tensor, [(h, w, 3) x N] for list.
Return: A list of transformed imgs.
"""
same_shapes = all(x.shape == im[0].shape for x in im)
auto = same_shapes and self.model.pt
return [LetterBox(self.imgsz, auto=auto, stride=self.model.stride)(image=x) for x in im]
def write_results(self, idx, results, batch):
"""Write inference results to a file or directory."""
p, im, _ = batch