Config

Config everything in mcode/config.py
What to config?

• Model:
  • Follow mmseg config
  • pretrained: path to ImageNet pretrained MiT backbone
  • Please change pretrained in backbone to pretrained=pretrained
  • Config model head to head of your choice
• Wandb:
  • use_wandb: True, False if debug
  • wandb_key: Please use your wandb authorize key
  • wandb_name: Name of your experiments, please make it as specific as possible
  • wandb_group: We need 5 runs/experiments, grouping makes it easier to see on wandb UI
• Dataset:
  • train_images: path to image in Train Dataset
  • train_masks: path to mask in Train Dataset
  • test_folder: path to Test Dataset
  • test_images and test_masks: leave it
  • num_workers: torch workers
  • save_path: path to save checkpoints and logs
  • bs: this should be 16 if possible
  • grad_accumulate_rate: num iters to backward, if bs=16, this should be 1