where can see CDIoU code .i can not see it.

Alan-D-Chen / CDIoU-CDIoUloss

🔥CDIoU and CDIoU loss is like a convenient plug-in that can be used in multiple models. CDIoU and CDIoU loss have different excellent performances in several models such as Faster R-CNN, YOLOv4, RetinaNet and . There is a maximum AP improvement of 1.9% and an average AP of 0.8% improvement on MS COCO dataset, compared to traditional evaluation-feedback modules. Here we just use as an example to illustrate the code.

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where can see CDIoU code .i can not see it. #3

Open Alex-afka opened 3 years ago

life97 commented 3 years ago

You can find it in a similar directory：H:\projects\CDIoU-CDIoUloss-main\atss_core\structures\boxlist_ops.py

JiaLim98 commented 3 years ago

Hi @life97 @Alan-D-Chen, which function specifically represents the code for CD-IoU regression loss function? I am confused with the naming conventions.