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Updated Readme.md
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Corrected the link of the "evaluator.py" file, which is not in "cm"-subfolder.
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@tmgthb
tmgthb authored Apr 12, 2023
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Expand Up @@ -36,7 +36,7 @@ We provide examples of EDM training, consistency distillation, consistency train

# Evaluations

To compare different generative models, we use FID, Precision, Recall, and Inception Score. These metrics can all be calculated using batches of samples stored in `.npz` (numpy) files. One can evaluate samples with [cm/evaluations/evaluator.py](cm/evaluations/evaluator.py) in the same way as described in [openai/guided-diffusion](https://github.com/openai/guided-diffusion), with reference dataset batches provided therein.
To compare different generative models, we use FID, Precision, Recall, and Inception Score. These metrics can all be calculated using batches of samples stored in `.npz` (numpy) files. One can evaluate samples with [cm/evaluations/evaluator.py](evaluations/evaluator.py) in the same way as described in [openai/guided-diffusion](https://github.com/openai/guided-diffusion), with reference dataset batches provided therein.

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