performance#

Module containing the performance check in the vision package.

Classes

ClassPerformance

Summarize given metrics on a dataset and model.

MeanAveragePrecisionReport

Summarize mean average precision metrics on a dataset and model per IoU and bounding box area.

MeanAverageRecallReport

Summarize mean average recall metrics on a dataset and model per detections and area range.

RobustnessReport

Compare performance of model on original dataset and augmented dataset.

SimpleModelComparison

Compare given model score to simple model score (according to given model type).

ConfusionMatrixReport

Calculate the confusion matrix of the model on the given dataset.

ModelErrorAnalysis

Find the properties that best split the data into segments of high and low model error.

ImageSegmentPerformance

Segment the data by various properties of the image, and compare the performance of the segments.