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DotWang avatar DotWang commented on August 10, 2024 1

@youngbaldy 我们处理这个potsdam数据集时和mmseg官方不太一样，你可以参考一下相关issue

ViTAE-Transformer/ViTAE-Transformer-Remote-Sensing#21

ViTAE-Transformer/ViTAE-Transformer-Remote-Sensing#9

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DotWang avatar DotWang commented on August 10, 2024

@youngbaldy 推理精度评测用mmseg的命令，不需要手写

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youngbaldy avatar youngbaldy commented on August 10, 2024

感谢您的回复，不过由于我第一次接触mmseg所以不太清楚，您方便的话可以给个例子吗？我现在需要对我处理过的图片进行推理，而且似乎也不能以batch的形式进行inference，我不太明白该怎么对推理得到的结果与label计算评价指标。期待您的回复，再次感谢。

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DotWang avatar DotWang commented on August 10, 2024

@youngbaldy 你可以参考一下rsp仓库，里边有说明，RVSA仓库只是提供必要的config和模型文件，执行文件都在RSP仓库（RVSA仓库说明中已经说了），另外，我们分割就是用的mmseg

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youngbaldy avatar youngbaldy commented on August 10, 2024

感谢您的回复，我使用tools/convert_datasets/potsdam.py得到的mask标签值是0~6，但在configs/vit_base_win/upernet_vitae_nc_base_rvsa_v3_wsz7_512x512_160k_potsdam_rgb_dpr10_lr6e5_lrd90_ps16_class5_ignore5.py的配置文件中是num_classes =5，ignore_index=5，不应该都是6吗？期待您的回复

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youngbaldy avatar youngbaldy commented on August 10, 2024

感谢您的回复，我再仔细看看

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