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Milestone Mar 14, 2023–Apr 11, 2023

    • Adopt new tooling (phase 3)

    1. Analyse “basetorch” and common patterns inside “deepfind”, “deepdraw” and “ptbench”, see what can be moved into alternative, STABLE frameworks such as pytorch-lightning, or “weights-and-biases” wandb, or even scikit-learn. (1 week)
    2. Adapt code on the 3 packages to use new patterns from a framework builder such as pytorch-lightning first (1 week)
    3. Add support for pytorch-segmentation-models to “deepdraw”. (1 week)
    4. Adopt code on the 3 packages to use new patterns from wandb later, upon analysis and reflection (1 week)
    5. Points one may consider:
      1. Loops for training, prediction and evaluation (PyTorch-lightning)
      2. Logging (measures while training) (pytorch-lightning)
      3. Measures of performance evaluation (scikit-learn? Other frameworks?)
      4. Data loading and database description (?)
      5. Configuration support? (?)
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