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dota数据集训练完12个epoch后,用demo/test.py 测试了dota的test图片,结果图像中的每个目标都有很多的框,感觉不是最终的检测结果,想问一下这是为什么 图片如下: https://gitee.com/young98/cloudimg/raw/master/img/image-20210901114455807.png https://gitee.com/young98/cloudimg/raw/master/img/image-20210901114442680.png
The text was updated successfully, but these errors were encountered:
这有可能是训练的是orpn_r50_fpn_1x_dota10.py,这个confgi只是orpn,输出的结果是有向的proposals.
完整的oriented_rcnn需要训练faster_rcnn_orpn_r50_fpn_1x_dota10.py
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这有可能是训练的是orpn_r50_fpn_1x_dota10.py,这个confgi只是orpn,输出的结果是有向的proposals. 完整的oriented_rcnn需要训练faster_rcnn_orpn_r50_fpn_1x_dota10.py 好的谢谢!
完整的oriented_rcnn需要训练faster_rcnn_orpn_r50_fpn_1x_dota10.py 好的谢谢!
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dota数据集训练完12个epoch后,用demo/test.py 测试了dota的test图片,结果图像中的每个目标都有很多的框,感觉不是最终的检测结果,想问一下这是为什么
图片如下:
https://gitee.com/young98/cloudimg/raw/master/img/image-20210901114455807.png
https://gitee.com/young98/cloudimg/raw/master/img/image-20210901114442680.png
The text was updated successfully, but these errors were encountered: