updates
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@ -172,8 +172,8 @@ def ap_per_class(tp, conf, pred_cls, target_cls):
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ap, p, r = np.zeros(s), np.zeros(s), np.zeros(s)
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ap, p, r = np.zeros(s), np.zeros(s), np.zeros(s)
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for ci, c in enumerate(unique_classes):
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for ci, c in enumerate(unique_classes):
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i = pred_cls == c
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i = pred_cls == c
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n_gt = sum(target_cls == c) # Number of ground truth objects
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n_gt = (target_cls == c).sum() # Number of ground truth objects
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n_p = sum(i) # Number of predicted objects
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n_p = i.sum() # Number of predicted objects
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if n_p == 0 or n_gt == 0:
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if n_p == 0 or n_gt == 0:
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continue
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continue
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