Comments (9)
DotWang
commented on August 10, 2024
@zhu-zhu-ding 我们训练时的isprs potsdam数据集不是拿mmseg制作的，参见以下issue：
ViTAE-Transformer/ViTAE-Transformer-Remote-Sensing#21
ViTAE-Transformer/ViTAE-Transformer-Remote-Sensing#23
ViTAE-Transformer/ViTAE-Transformer-Remote-Sensing#27
ViTAE-Transformer/ViTAE-Transformer-Remote-Sensing#9
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zhu-zhu-ding
commented on August 10, 2024
根据作者你提供的修改方式修改了config和dataset，并且数据和你使用的一样，但是报这个错误，请问是什么导致的呢，非常感谢！
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DotWang
commented on August 10, 2024
@zhu-zhu-ding 标签不对吧，还有类别数相关的设置
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zhu-zhu-ding
commented on August 10, 2024
我都是用作者你RSP仓库里的那个转换代码，感觉没什么问题，不知道是那个参数设置的不对，所以可能是我的数据集下载错了吗还是其他什么原因？我用mmseg官方文档的链接下的，感觉都没问题。。。
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zhu-zhu-ding
commented on August 10, 2024
哦还有个问题，
这个num_class设置=5会报错，提示未知参数，这个的错误原因是什么呢
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DotWang
commented on August 10, 2024
@zhu-zhu-ding 有问题啊，你说的那个RSP仓库里的标签转换工具那是mmseg自带的，我没用，我用的是我们之前做项目时候的标签转换方案，在这个issue中，我给了我们转换potsdam数据集的代码，你把这个issue从头到尾完整看完就明白了
ViTAE-Transformer/ViTAE-Transformer-Remote-Sensing#9
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zhu-zhu-ding
commented on August 10, 2024
我看完了，我理解了整个流程，但是问题在于，我使用官方的转换代码，reduce_zero_label和ignore_index按issues修改，但是还是有如上错误，请问这是怎么回事呢？
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DotWang
commented on August 10, 2024
哦还有个问题，
这个num_class设置=5会报错，提示未知参数，这个的错误原因是什么呢
说明customdataset这个类里边没有num_classes这个参数，因为这个参数是设置模型输出类别个数的，只在模型config里边的head上设置就可以了
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DotWang
commented on August 10, 2024
@zhu-zhu-ding 你这个错误肯定跟标签有关，所以你要注意的地方应该有，数据集类里的ignore_index, 数据集config里边pipeline中的reduce_zero_label， seg_pad_val, 模型config里边decode_head和auxiliary_head中的num_classes和ignore_index
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Related Issues (20)
- 代码中value角度变换问题 HOT 1
- mmcv版本问题 HOT 11
- Problem：MillionAID dataset HOT 1
- I reproduced the code with an accuracy of only 54 HOT 19
- KeyError: 'OrientedRCNN is not in the models registry' HOT 3
- LoveDA dataset training proble HOT 1
- Questions about labels for the MillionAID dataset HOT 1
- Pretrained Model Weights HOT 2
- Model pth HOT 3
- Missing script: tools/test.py file missing for segmentation and detection HOT 2
- 预训练模型 HOT 1
- 图片大小不一样 HOT 1
- 推理得到的结果如何计算mIou指标 HOT 6
- [resume error] loaded state dict has a different number of parameter groups HOT 3
- 预训练模型 HOT 2
- 目标检测识别任务的训练评估结果复现不成功。能够成功复现obbdetection仓库oriented_rcnn的训练评估结果，但vitae-rvsa_dota10_ms的训练评估效果不理想 HOT 3
- Unable to download pretrained checkpoints
- potsdam_vitae_rvsa_kvidff权重推理时的精度差异 HOT 4
- ViTAE_NC_Win_RVSA_V3_WSZ7预训练权重加载 HOT 1
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