能否只使用代码中的主动学习部分来筛选图片呢 about mi-aod

[yuantn]

你可以修改 mmdet/utils/active_datasets.py 文件中的 update_X_L 函数（它在 tools/train.py 中被调用），令其返回 X_S，此即为每一轮主动学习后筛选出不确定性较高的新增样本。

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You can modify the update_X_L function in mmdet/utils/active_datasets.py called by tools/train.py, make it return X_S, which are the new selected samples with higher uncertainty after each cycle of active learning.

[dust-removal]

你可以修改 mmdet/utils/active_datasets.py 文件中的 update_X_L 函数（它在 tools/train.py 中被调用），令其返回 X_S，此即为每一轮主动学习后筛选出不确定性较高的新增样本。

You can modify the update_X_L function in mmdet/utils/active_datasets.py called by tools/train.py, make it return X_S, which are the new selected samples with higher uncertainty after each cycle of active learning.

感谢，我现在发现mmdet2.3.0已经有了支持windows的版本，那是不是在win上运行就有可能了

[yuantn]

是的，但我没有尝试过，你可以试一下。

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Yes, but I have not tried it. You may have a try.