Comments (8)
@lucky85712 是预训练好的权重,如果精度差很多的话,麻烦检查一下权重是不是真的加载进去了
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Hi @DotWang I have the same problem:
I loaded the model checkpoint as follow and attempt to predict on several images of MillionAid dataset. They are not correct. Can you please help?
I verified that the weights are indeed loaded:
Many many thanks.
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did you end up using anything else? :)
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@lucky85712 Ok thanks. It won't help me much, however.
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@lhmtrinh https://github.com/ViTAE-Transformer/RSP/tree/main/Object%20Detection
我不确定你是拿什么程序跑的,我们是拿OBBDetection,这里有config和log
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嗨,我有同样的问题:我按如下方式加载了模型检查点,并尝试对 MillionAid 数据集的几张图像进行预测。它们是不正确的。你能帮忙吗?
非常感谢。
Hi, do you solve the problem?
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Related Issues (18)
- Change Detection requirements HOT 1
- is there still have pretrained weights saved for the SeCo dataset HOT 1
- Warning: grad and param do not obey the gradient layout contract. This is not an error, but may impair performance. HOT 1
- Classification train/test set split. HOT 1
- Runtime error HOT 1
- When model's pretrained is none, get AttributeError: 'ViTAE_Window_NoShift_basic' object has no attribute 'use_abs_pos_embed' HOT 4
- 您好,请问你们使用的ISAID数据集是原始数据集吗? HOT 3
- 你好,我训练的时候报错如下图,可以看一下吗 HOT 12
- 使用levir数据集报错问题 HOT 3
- upernet_vit_base_win.py model config is in the Remote-Sensing-RVSA repo HOT 1
- 是否可以提供MAE的代码或相关参考 HOT 1
- 训练时间+GPU是否利用问题 HOT 4
- 关于semantic segmentation 测试结果可能会有差异 HOT 7
- what is the version of mmcv and mmseg HOT 1
- new datasets HOT 1
- 关于MillionAID数据集 HOT 1
- semantic segmentation pretraining weight
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