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Path.cwd()\nOUT.mkdir(parents=True, exist_ok=True)\nNMS_THRESHOLD = 0.50\nEVAL_THRESHOLDS = (0.50, 0.75)\n\nGT = np.array([[0, 0, 2, 2], [3, 0, 5, 2]], dtype=float)\nPRED = np.array([[0, 0, 2, 2], [.2, 0, 2.2, 2], [3.4, 0, 5.4, 2], [7, 7, 8, 8]], float)\nSCORES = np.array([.9, .8, .7, .4])\nCLASSES = np.zeros(4, dtype=int)\n```","sha256":"17c087970008ebd0875576f6551258d8c6f5e701a79682f7055b68e8e0a4fa4e","chapter":{"id":"course","title":"LAB 09 · 检测几何：框、匹配、NMS 与 AP · 实现代码"},"unit":{"id":"notebook-blocks/594bc8e645d4447c9c7e522cc8f9a03f","title":"LAB 09 · 检测几何：框、匹配、NMS 与 AP · 实现代码"},"page":{"id":"reading-opening","title":"LAB 09 · 检测几何：框、匹配、NMS 与 AP · 实现代码","number":1},"sectionTitle":"LAB 09 · 检测几何：框、匹配、NMS 与 AP · 实现代码","currentQuestion":"LAB 09 · 检测几何：框、匹配、NMS 与 AP · 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