Exemple #1
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def error_metric(gt, final):
    return mean_error(gt, final)
Exemple #2
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def error_metric(gt, final):
    normalizer = np.mean(np.max(gt, axis=0) - np.min(gt, axis=0))
    return mean_error(gt, final) / normalizer
Exemple #3
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def error_metric(gt, final):
    normalizer = np.mean(np.max(gt, axis=0) - np.min(gt, axis=0))
    return mean_error(gt, final) / normalizer