ultralytics 8.3.67 NMS Export for Detect, Segment, Pose and OBB YOLO models (#18484)
Signed-off-by: Mohammed Yasin <32206511+Y-T-G@users.noreply.github.com> Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: UltralyticsAssistant <web@ultralytics.com> Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com> Co-authored-by: Laughing-q <1185102784@qq.com> Co-authored-by: Ultralytics Assistant <135830346+UltralyticsAssistant@users.noreply.github.com>
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17 changed files with 320 additions and 208 deletions
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@ -305,7 +305,7 @@ class Results(SimpleClass):
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if v is not None:
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return len(v)
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def update(self, boxes=None, masks=None, probs=None, obb=None):
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def update(self, boxes=None, masks=None, probs=None, obb=None, keypoints=None):
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"""
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Updates the Results object with new detection data.
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@ -318,6 +318,7 @@ class Results(SimpleClass):
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masks (torch.Tensor | None): A tensor of shape (N, H, W) containing segmentation masks.
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probs (torch.Tensor | None): A tensor of shape (num_classes,) containing class probabilities.
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obb (torch.Tensor | None): A tensor of shape (N, 5) containing oriented bounding box coordinates.
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keypoints (torch.Tensor | None): A tensor of shape (N, 17, 3) containing keypoints.
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Examples:
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>>> results = model("image.jpg")
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@ -332,6 +333,8 @@ class Results(SimpleClass):
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self.probs = probs
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if obb is not None:
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self.obb = OBB(obb, self.orig_shape)
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if keypoints is not None:
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self.keypoints = Keypoints(keypoints, self.orig_shape)
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def _apply(self, fn, *args, **kwargs):
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"""
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