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License: Apache License 2.0
Aerial Detection Toolbox
License: Apache License 2.0
I am Vansin, the technical operator of OpenMMLab. In September of last year, we announced the release of OpenMMLab 2.0 at the World Artificial Intelligence Conference in Shanghai. We invite you to upgrade your algorithm library to OpenMMLab 2.0 using MMEngine, which can be used for both research and commercial purposes. If you have any questions, please feel free to join us on the OpenMMLab Discord at https://discord.gg/A9dCpjHPfE or add me on WeChat (ID: van-sin) and I will invite you to the OpenMMLab WeChat group.
Here are the OpenMMLab 2.0 repos branches:
OpenMMLab 1.0 branch | OpenMMLab 2.0 branch | |
---|---|---|
MMEngine | 0.x | |
MMCV | 1.x | 2.x |
MMDetection | 0.x ใ1.xใ2.x | 3.x |
MMAction2 | 0.x | 1.x |
MMClassification | 0.x | 1.x |
MMSegmentation | 0.x | 1.x |
MMDetection3D | 0.x | 1.x |
MMEditing | 0.x | 1.x |
MMPose | 0.x | 1.x |
MMDeploy | 0.x | 1.x |
MMTracking | 0.x | 1.x |
MMOCR | 0.x | 1.x |
MMRazor | 0.x | 1.x |
MMSelfSup | 0.x | 1.x |
MMRotate | 1.x | 1.x |
MMYOLO | 0.x |
Attention: please create a new virtual environment for OpenMMLab 2.0.
Many thanks to you for your great project, it is very useful for my current experiments. When I use faster R-CNN to train the DIOR-H dataset, I can get the training results normally.
However, when I try to use Cascade R-CNN or RetinaNet to train the DIOR-H dataset, displayed error. For example, when training with Cascade R-CNN, loss_cls and loss_bbox from Epoch [1][600/2839] will start to be displayed as NAN; when training with RetinaNet, the loss value will be randomly displayed as inf.
I am using two graphics cards and the batch size is 2, so I set lr=0.005 and nothing else has changed.
Looking forward to your help in answering this question.
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