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['random_initialization','validation','heldout','condition_half_object_scale','condition_NMS_065']:\n    r=R[setting]\n    print(setting, 'mAP50=',round(r['AP50']['mAP'],4),'mAP75=',round(r['AP75']['mAP'],4),\n          'P@.4=',round(r['operating_point']['precision'],4),'R@.4=',round(r['operating_point']['recall'],4))\nprint(R['provenance'])\nfrom IPython.display import Image,display\nfor filename in ['heldout-predictions.png','failure-predictions.png','half-scale-predictions.png','training-curve.png']:\n    display(Image(filename='lab10-results-rerun/'+filename))\n```","sha256":"0a748c53d9a4c3bfaa27b3278192fb7b8f6dd8e500e31fe3d83843c1683cb0d6","chapter":{"id":"course","title":"实际训练与可复查的输出 · 实现代码"},"unit":{"id":"notebook-blocks/e4979dd3569c4ce4855112dd4b062c23","title":"实际训练与可复查的输出 · 实现代码"},"page":{"id":"reading-opening","title":"实际训练与可复查的输出 · 实现代码","number":1},"sectionTitle":"实际训练与可复查的输出 · 实现代码","currentQuestion":"实际训练与可复查的输出 · 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