updates
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test.py
4
test.py
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@ -144,10 +144,12 @@ def test(cfg,
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# Compute statistics
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stats = [np.concatenate(x, 0) for x in list(zip(*stats))] # to numpy
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nt = np.bincount(stats[3].astype(np.int64), minlength=nc) # number of targets per class
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if len(stats):
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p, r, ap, f1, ap_class = ap_per_class(*stats)
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mp, mr, map, mf1 = p.mean(), r.mean(), ap.mean(), f1.mean()
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nt = np.bincount(stats[3].astype(np.int64), minlength=nc) # number of targets per class
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else:
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nt = torch.zeros(1)
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# Print results
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pf = '%30s' + '%10.3g' * 6 # print format
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