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Reference for ultralytics/models/nas/val.py

Note

Full source code for this file is available at https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/nas/val.py. Help us fix any issues you see by submitting a Pull Request 🛠️. Thank you 🙏!

ultralytics.models.nas.val.NASValidator

Bases: DetectionValidator

Source code in ultralytics/models/nas/val.py 
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class NASValidator(DetectionValidator):

    def postprocess(self, preds_in):
        """Apply Non-maximum suppression to prediction outputs."""
        boxes = ops.xyxy2xywh(preds_in[0][0])
        preds = torch.cat((boxes, preds_in[0][1]), -1).permute(0, 2, 1)
        return ops.non_max_suppression(preds,
                                       self.args.conf,
                                       self.args.iou,
                                       labels=self.lb,
                                       multi_label=False,
                                       agnostic=self.args.single_cls,
                                       max_det=self.args.max_det,
                                       max_time_img=0.5)

postprocess(preds_in)

Apply Non-maximum suppression to prediction outputs.

Source code in ultralytics/models/nas/val.py 
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def postprocess(self, preds_in):
    """Apply Non-maximum suppression to prediction outputs."""
    boxes = ops.xyxy2xywh(preds_in[0][0])
    preds = torch.cat((boxes, preds_in[0][1]), -1).permute(0, 2, 1)
    return ops.non_max_suppression(preds,
                                   self.args.conf,
                                   self.args.iou,
                                   labels=self.lb,
                                   multi_label=False,
                                   agnostic=self.args.single_cls,
                                   max_det=self.args.max_det,
                                   max_time_img=0.5)




Created 2023-07-16, Updated 2023-08-07
Authors: glenn-jocher (5), Laughing-q (1)