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I am currently endeavoring to train my own horizontal box dataset using the OAN. However, upon reviewing your source code, I have noticed that the implementation of OAN is primarily based on the rotated box DOTA dataset.
I would like to ask if you have achieved object detection on the horizontal box (such as coco dataset)? Alternatively, I would appreciate any guidance you can offer on how I could modify the relevant configurations to adapt the OAN for use with horizontal box object detection.
I am looking forward to your response and greatly appreciate your help in this matter.
The text was updated successfully, but these errors were encountered:
@XiaoyuZxy00
You can reference oan_obb_two_stage.py(OAN/mmdet/models/detectors/obb/oan_obb_two_stage.py) to modify your model for horizontal bounding box.
The component, OAN, is defined in utils(OAN/mmdet/models/utils/oan.py).
This structure of this project is similar with MMDetection of Open-MMLab, you can refer to it (https://github.com/open-mmlab/mmdetection).
Dear Esteemed Author,
I am currently endeavoring to train my own horizontal box dataset using the OAN. However, upon reviewing your source code, I have noticed that the implementation of OAN is primarily based on the rotated box DOTA dataset.
I would like to ask if you have achieved object detection on the horizontal box (such as coco dataset)? Alternatively, I would appreciate any guidance you can offer on how I could modify the relevant configurations to adapt the OAN for use with horizontal box object detection.
I am looking forward to your response and greatly appreciate your help in this matter.
The text was updated successfully, but these errors were encountered: