Day033_YOLO Detail__HW.ipynb

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    "## YOLO 細節理解 - 網路輸出的後處理    \n",
    "今天的課程，我們說明了NMS在yolo中運作的情形:\n",
    "* NMS在YOLO的實際運作以每一個類別為主，各別執行NMS。     \n",
    "* YOLO 在NMS中採用的信心度為「每個 bbox 包含各類別的信心度」      \n"
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    "### 作業\n",
    "在NMS流程中，IoU重疊率參數(nms_threshold )調高，試著思考一下輸出的預測框會有甚麼變化?\n",
    "Hint: 可以回頭看今天介紹的內容，思考輸出的預測框變多或變少?\n"
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       "'\\n你的答案\\n'"
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    "'''\n",
    "IoU閾值設定太高，可能會造成物件重複偵測的問題，顯示的預測框會很多，\n",
    "\n",
    "IOU設定太閾值低，顯示的預測框會變少。\n",
    "'''"
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