Comments (2)
RichardcLee
commented on May 24, 2024
and Why do you use this function：clamp(min=1e-6) ?
from varifocalnet.
hyz-xmaster
commented on May 24, 2024
Hi, this repo is implemented using the framework of MMDetection which you may need to get familiar with.
VFNet mainly involves a new loss, Varifocal Loss, and a detector head, vfnet_head. Most of the details are in these two scripts and understanding them is almost enough to reimplement VFNet.
clamp(min=1e-6) ?
This is to avoid the calculated IoU to be 0.
from varifocalnet.
Related Issues (20)
- Some question about the inference HOT 4
- VFNet-X's config file 404 error HOT 2
- VFocalLoss in yolov5 HOT 3
- Do you think the `VarifocalLoss` could be used for labels with value of 0 & 1 ? HOT 2
- How to visualize detection results?
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- GPU error HOT 3
- KeyError: 'ATSSVGFLHead is not in the head registry' HOT 9
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- Using MMDet version of VFNet with the lastest backbone (e,g. Poolformer S36, ConvNeXt Small) with Inf Issues on Varifocal loss HOT 1
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