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Reproducing doubts #2

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Xujingkk opened this issue Jul 31, 2024 · 1 comment
Open

Reproducing doubts #2

Xujingkk opened this issue Jul 31, 2024 · 1 comment

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@Xujingkk
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Hi, Joy Hsu, thanks for the interesting paper and open sourcing the code here. I'm trying to reproduce the code to understand more details. But I have some questions I would like your help with:

  1. I saw how to use DARCNN at "darcnn_code/tutorial.ipynb" and the task demonstrated is the adaptation from coco to BBBC, right?
  2. If I want to try adaptation from BBBC to Kumar, then in the first stage I need to load BBBC dataset and Kumar, and in the second stage only Kumar, right?
  3. When adaptating from BBBC to Kumar, can I still use the pre-trained weights 'coco_class_agnostic_maskrcnn.pth' in the first stage? If not, what should be done here?
  4. I downloaded the bbbc_10k_256.zip that you shared, is this data already done with all preprocessing including inversion?
    If I have misunderstood, I would appreciate your clearer guidance!
@Xujingkk
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Hi, Joy Hsu, Regarding kumar's data preprocessing, are there 10,000 randomly cropped patches from the official 16 training images? Is there any other data augmentation done?

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