search

sacmehta / YNet

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images
https://sacmehta.github.io/YNet/
MIT License
135 stars 33 forks source link

dataset #7

Closed anonymously123456 closed 3 years ago

anonymously123456 commented 3 years ago

I am trying to train your code on my dataset , but still I couldn't comprehend what these file name means. for example , 1222_1_1200_4800_4.jpg, What does 1222 mean? What does 1 mean? What does 1200 mean? and What does 4800 mean? Thanks a lot! Looking forward to your reply

sacmehta commented 3 years ago

This naming is specific to our dataset.

1222_1 means the first ROI in sample id 1222

1200_4800 means the crop_start_x and crop_end_x

4 means WSI scale (4x, 2x, 10x, etc.)

But you don't have to follow that.. You can use ,

anonymously123456 commented 3 years ago

Thanks for your reply, in stage2, i use my way to name the trainrgb(1.png , 2.png, 3.png ....) , trainannot(1.png, 2.png, 3.png,. ...), valrgb(1.png, 2.png, 3.png,. ...) and valannot (1.png, 2.png, 3.png,. ...), train.txt and val.txt is also modified accordingly, but the foowing error occurs:

image image image

sacmehta commented 3 years ago

Seems like file is not in the specified path.. Check for the file path and make sure its correct.