Fix Detections class `tolist()` method (#5945)
* Fix tolist() to add the file for each Detection * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix PEP8 requirement for 2 spaces before an inline comment * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Cleanup Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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@ -525,7 +525,7 @@ class AutoShape(nn.Module):
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class Detections:
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# YOLOv5 detections class for inference results
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def __init__(self, imgs, pred, files, times=None, names=None, shape=None):
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def __init__(self, imgs, pred, files, times=(0, 0, 0, 0), names=None, shape=None):
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super().__init__()
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d = pred[0].device # device
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gn = [torch.tensor([*(im.shape[i] for i in [1, 0, 1, 0]), 1, 1], device=d) for im in imgs] # normalizations
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@ -533,6 +533,7 @@ class Detections:
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self.pred = pred # list of tensors pred[0] = (xyxy, conf, cls)
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self.names = names # class names
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self.files = files # image filenames
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self.times = times # profiling times
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self.xyxy = pred # xyxy pixels
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self.xywh = [xyxy2xywh(x) for x in pred] # xywh pixels
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self.xyxyn = [x / g for x, g in zip(self.xyxy, gn)] # xyxy normalized
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@ -612,10 +613,11 @@ class Detections:
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def tolist(self):
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# return a list of Detections objects, i.e. 'for result in results.tolist():'
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x = [Detections([self.imgs[i]], [self.pred[i]], names=self.names, shape=self.s) for i in range(self.n)]
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for d in x:
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for k in ['imgs', 'pred', 'xyxy', 'xyxyn', 'xywh', 'xywhn']:
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setattr(d, k, getattr(d, k)[0]) # pop out of list
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r = range(self.n) # iterable
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x = [Detections([self.imgs[i]], [self.pred[i]], [self.files[i]], self.times, self.names, self.s) for i in r]
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# for d in x:
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# for k in ['imgs', 'pred', 'xyxy', 'xyxyn', 'xywh', 'xywhn']:
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# setattr(d, k, getattr(d, k)[0]) # pop out of list
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return x
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def __len__(self):
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