acne.pbtxt

[s-jafarpoor]

Hello good time
Thanks for sharing the code
I ran the eval_faster_rcnn_inception_v2.ipynb file and used your pre-trained model that you uploaded to MEGA, I need acne.pbtxt now, can you give it to me?

[wenh06]

I left the company one year ago and do not have access to these files now. But there's only one class, so I guess it should be like

item {
  id: 1
  name: 'acne'
}

or

item {
  id: 1
  name: 'fore'
}

fore is the name in the original dataset. We re-labelled a very large proportion of the bounding box labels using labelImg.

[s-jafarpoor]

Thanks for the reply
Is there a class or 4 classes?
"mild"; "moderate"; "severe"; "very severe"

[wenh06]

For object detection, there's only one class. The severity is assessed based on the number of detected lesions using a so-called Hayashi criterion. The original work that proposed this dataset used some fancy soft regression method (model). You can try training some classification models, but be careful of overfitting.

[s-jafarpoor]

Thanks for the reply

[Jatom-c]

你好，我已经收到你的邮件了。       --蔡佳桐

[s-jafarpoor]

what is this? I didn't notice it

…

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[wenh06]

I've reported cryptocurrency abuse to GitHub. You can just ignore it.