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CARE for FLAME
CARE for FLAME
  • CARE for FLAME
  • Why FLAME-CARE
  • Install
    • Windows (CLI & MATLAB Inference)
    • WSL (Training & CLI Inference)
  • Training
    • Dataset Management
    • Model Training w/ Jupyter
  • Version Control
  • Usage
    • CARE_on_image.py
    • Usage with MATLAB
    • Start MLFlow Server
  • Video Tutorials
  • API
    • flame
      • flame.engine
        • flame.engine.CAREInferenceSession
      • flame.error
        • flame.error.CAREDatasetError
        • flame.error.CAREInferenceError
        • flame.error.FLAMECmdError
        • flame.error.FLAMEDtypeError
        • flame.error.FLAMEEvalError
        • flame.error.FLAMEIOError
        • flame.error.FLAMEImageError
        • flame.error.FLAMEMLFlowError
        • flame.error.FLAMEPyMatlabError
        • flame.error.TileDataError
      • flame.eval
        • flame.eval.mae
        • flame.eval.mse
        • flame.eval.ssim
      • flame.image
        • flame.image.is_FLAME_image
        • flame.image.FLAMEImage
      • flame.io
        • flame.io.assert_direc_exists
        • flame.io.assert_file_exists
        • flame.io.assert_path_exists
        • flame.io.find_dataset_config
        • flame.io.flame_paths_from_ids
        • flame.io.get_input_and_GT_paths
        • flame.io.get_unshared_path
      • flame.tile
        • flame.tile.TileData
      • flame.utils
        • flame.utils.change_root
        • flame.utils.get_windows_user_path
        • flame.utils.is_iterable
        • flame.utils.min_max_norm
        • flame.utils.on_wsl
        • flame.utils.set_up_tracking_server
        • flame.utils.update_matlab_variables
        • flame.utils.update_yaml_artifact_path
  • API Notes
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TrainingΒΆ

  • Dataset Management
    • 1. create_care_dataset.ipynb (Creation of the Dataset):
    • 2. care_data_configuration.ipynb (Readying Dataset for Training)
    • 3. Denoising Appendix
  • Model Training w/ Jupyter
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Dataset Management
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WSL (Training & CLI Inference)
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