Pytorch-RIADD
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1st solution for Retinal Image Analysis for multi-Disease Detection Challenge(RIADD (ISBI-2021))
Code for RIADD (ISBI-2021)
This is the source code for my solution to the RIADD (ISBI-2021)
hosted by Grand Challenge
Requirement
- opencv_python==4.4.0.44
- tqdm==4.48.2
- pandas==1.1.1
- albumentations==0.4.6
- torchvision==0.6.0a0+35d732a
- torch==1.5.1
- visdom==0.1.8.9
- apex==0.9.10dev
Update Log
- [2021-2-28] Release the training codes
- [2021-4-14] publish final model weights
TODO
- publish partial model weights
Dataset
https://www.kaggle.com/sssdey1702/riadd-rfmid
Model Weights
https://www.kaggle.com/hanson0910/tf-efficientnet-b5-ns960
Train Model with DDP
CUDA_VISIBLE_DEVICES=0,1 python -m torch.distributed.launch --nproc_per_node=2 train_riadd_eb6_ddp.py
Train Model without DDP
python train_riadd_eb6.py
Create submission
python subnmit_riadd.py
References
Appreciate the great work from the following repositories:
- https://github.com/rwightman/pytorch-image-models
- https://github.com/zlannnn