updates
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4
test.py
4
test.py
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@ -54,7 +54,7 @@ def test(
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seen = 0
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seen = 0
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model.eval()
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model.eval()
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coco91class = coco80_to_coco91_class()
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coco91class = coco80_to_coco91_class()
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print(('%20s' + '%10s' * 6) % ('Class', 'Images', 'Targets', 'P', 'R', 'mAP', 'F1'))
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print(('%30s' + '%10s' * 6) % ('Class', 'Images', 'Targets', 'P', 'R', 'mAP', 'F1'))
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loss, p, r, f1, mp, mr, map, mf1 = 0., 0., 0., 0., 0., 0., 0., 0.
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loss, p, r, f1, mp, mr, map, mf1 = 0., 0., 0., 0., 0., 0., 0., 0.
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jdict, stats, ap, ap_class = [], [], [], []
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jdict, stats, ap, ap_class = [], [], [], []
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for batch_i, (imgs, targets, paths, shapes) in enumerate(tqdm(dataloader, desc='Computing mAP')):
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for batch_i, (imgs, targets, paths, shapes) in enumerate(tqdm(dataloader, desc='Computing mAP')):
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@ -150,7 +150,7 @@ def test(
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mp, mr, map, mf1 = p.mean(), r.mean(), ap.mean(), f1.mean()
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mp, mr, map, mf1 = p.mean(), r.mean(), ap.mean(), f1.mean()
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# Print results
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# Print results
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pf = '%20s' + '%10.3g' * 6 # print format
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pf = '%30s' + '%10.3g' * 6 # print format
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print(pf % ('all', seen, nt.sum(), mp, mr, map, mf1))
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print(pf % ('all', seen, nt.sum(), mp, mr, map, mf1))
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# Print results per class
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# Print results per class
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