Comments (3)
Thanks for your interest in RETFound. The SSL training script has not been included. We plan to add the relevant scripts and instructions in the next update (hopefully in coming weeks). You can also find similar info in the original MAE (https://github.com/facebookresearch/mae).
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Thank you for your answer. I am not sure you understood what I meant.
stage1 Self-supervision on retinal images stage2 Supervised fine-tuning for clinical tasks
And now i don't need Fine-tuning with RETFound weights in stage1. Just load the whole model and train it on my dataset from scratch.
As for the SSL training script has not been included.So it has fine-tune train and evaluation scripts and whole model script in the code?
from retfound_mae.
Please refer to the explanation of pre-trained weights here.
If you would like to SSL pre-train from scratch, you can find the SSL training code in the original MAE. If you just want to fine-tune the model on your data, follow the instructions
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Related Issues (17)
- finetune with high resolution input HOT 2
- Fail to run your visualize HOT 2
- Abt dataset
- Fine-tune for downstream regression task (continuous labels) HOT 2
- Requires grad parameters to finetune a downstream classification task HOT 1
- About a issue after running at terminal HOT 3
- Pre processing of fine-tuning datasets HOT 2
- Finetuned result and Evaluation result is different HOT 1
- fine-tune in small sample size HOT 2
- Splits for OCTID dataset HOT 2
- How to use multiple GPUs for finetune? HOT 2
- Would it be possible to opensource the DINO pretrained weights? HOT 2
- How to use this to detect disease? HOT 3
- Is it possible to share the dataset used in pretraining HOT 1
- Increasing learning rate HOT 2
- Unable to get the model HOT 8
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