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Can you please explain the calculation of the iou within lines **73 - 79**. To me all those _+1_ additions in the calculations of the box areas don't seem to be sensible. Where do they come from?
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thank you for your good code.
how to calculate iou ?
please guide me
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I have one question. The formula of (21)~(25) is the expression of IoU, but how to derive this IoU formula, especially $I_{0,3}$ and $I_{1,2}$.
from torchmetrics.segmentation import MeanIoU
miou = MeanIoU(num_classes=3)
preds = torch.randint(0, 2, …
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Hi,
May I ask whether the IOU value in your paper is the "mean iou" calculated by the "accuracy.py"?
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Hi there.
In the evaluation step, I've got this error:
>
File "train.py", line 119, in
intr, unn = calMetric_iou(gt_value, result)
File "./DSAMNet/data_utils.py", line 17, in …
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I really appreciate your works. :)
I have some questions about code 'def intersect_and_union' in 'mmsegmentation/mmseg/evaluation/metrics/iou_metric.py'
def intersect_and_union(pred_label: t…
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Hello, thanks for your great work! I wonder if i could get your implenmention for ConvNeXt_PC since it seems like modified from ConvNeXt.
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hi,
I have a question about the IoU.
The GCN-D directly predicts the IoP and IoU for each proposal and do not need other information. It can be understood that the IoP can be predicted just usin…