pyEdgeEval.common package

Subpackages

• pyEdgeEval.common.binary_label package
  • Submodules
  • pyEdgeEval.common.binary_label.calculate_metrics module
  • pyEdgeEval.common.binary_label.evaluate_boundaries module
  • pyEdgeEval.common.binary_label.io module
  • pyEdgeEval.common.binary_label.visualize module
  • Module contents
• pyEdgeEval.common.multi_label package
  • Submodules
  • pyEdgeEval.common.multi_label.calculate_metrics module
  • pyEdgeEval.common.multi_label.edge_decoding module
  • pyEdgeEval.common.multi_label.edge_encoding module
  • pyEdgeEval.common.multi_label.evaluate_boundaries module
  • pyEdgeEval.common.multi_label.io module
  • pyEdgeEval.common.multi_label.options module
  • Module contents

Submodules

pyEdgeEval.common.metrics module

pyEdgeEval.common.metrics.recall(count_r: Union[float, ndarray], sum_r: Union[float, ndarray]) → Union[float, ndarray]

pyEdgeEval.common.metrics.precision(count_p: Union[float, ndarray], sum_p: Union[float, ndarray]) → Union[float, ndarray]

pyEdgeEval.common.metrics.f1(prec: Union[float, ndarray], rec: Union[float, ndarray]) → Union[float, ndarray]

pyEdgeEval.common.metrics.compute_rec_prec_f1(count_r: Union[float, ndarray], sum_r: Union[float, ndarray], count_p: Union[float, ndarray], sum_p: Union[float, ndarray]) → Tuple[Union[float, ndarray], Union[float, ndarray], Union[float, ndarray]]

pyEdgeEval.common.utils module

pyEdgeEval.common.utils.check_thresholds(thresholds)

Module contents