Reinstate PR curve sentinel values (#1598)
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@ -77,18 +77,17 @@ def ap_per_class(tp, conf, pred_cls, target_cls, plot=False, save_dir='precision
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def compute_ap(recall, precision):
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def compute_ap(recall, precision):
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""" Compute the average precision, given the recall and precision curves.
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""" Compute the average precision, given the recall and precision curves
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Source: https://github.com/rbgirshick/py-faster-rcnn.
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# Arguments
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# Arguments
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recall: The recall curve (list).
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recall: The recall curve (list)
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precision: The precision curve (list).
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precision: The precision curve (list)
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# Returns
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# Returns
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The average precision as computed in py-faster-rcnn.
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Average precision, precision curve, recall curve
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"""
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"""
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# Append sentinel values to beginning and end
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# Append sentinel values to beginning and end
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mrec = recall # np.concatenate(([0.], recall, [recall[-1] + 1E-3]))
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mrec = np.concatenate(([0.], recall, [recall[-1] + 0.01]))
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mpre = precision # np.concatenate(([0.], precision, [0.]))
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mpre = np.concatenate(([1.], precision, [0.]))
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# Compute the precision envelope
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# Compute the precision envelope
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mpre = np.flip(np.maximum.accumulate(np.flip(mpre)))
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mpre = np.flip(np.maximum.accumulate(np.flip(mpre)))
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