updates
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test.py
2
test.py
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@ -197,7 +197,7 @@ def test(cfg,
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cocoEval.evaluate()
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cocoEval.accumulate()
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cocoEval.summarize()
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map = cocoEval.stats[1] # update mAP to pycocotools mAP
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mf1, map = cocoEval.stats[:2] # update to pycocotools results (mAP@0.5:0.95, mAP@0.5)
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# Return results
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maps = np.zeros(nc) + map
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@ -810,7 +810,7 @@ def apply_classifier(x, model, img, im0):
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def fitness(x):
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# Returns fitness (for use with results.txt or evolve.txt)
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return x[:, 2] * 0.8 + x[:, 3] * 0.2 # weighted mAP and F1 combination
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return x[:, 2] * 0.5 + x[:, 3] * 0.5 # weighted combination of x=[p, r, mAP@0.5, F1 or mAP@0.5:0.95]
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# Plotting functions ---------------------------------------------------------------------------------------------------
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