Internal implementation of Pascal object detection metrics.

Box collection. BoxList represents a list of bounding boxes as numpy array, where each bounding box is represented as a row of 4 numbers, [y_mi

Interface for object detection evalution classes. Example usage of the Evaluator: ------------------------------ evaluator = DetectionEvaluator

Mock anchor generator.

Simple `difference` BoxCoder.

Simple box predictor that ignores inputs and outputs all zeros.

Simple matcher that matches first anchor to first groundtruth box.

A class to evaluate detections.

A class to evaluate detections using Open Images V2 metrics. Open Images V2 introduce group_of type of bounding boxes and this metric handles

A class to evaluate detections using PASCAL metrics.

Evaluate detection result of a single image.

Enum class for sort order. Attributes: ascend: ascend order. descend: descend order.

A class to evaluate detections using weighted PASCAL metrics. Weighted PASCAL metrics computes the mean average precision as the average precisio