{
  "id": 109835,
  "title": "mAP function",
  "url": "/competitions/open-images-2019-object-detection/discussion/109835",
  "author_name": "ZFTurbo",
  "post_date": "2019-09-22T19:00:04.007000",
  "votes": 33,
  "comment_count": 1,
  "views": 0,
  "content": "<p>I recently released Python code to easy calculate mAP on set of predictions. You either can pass on input CSV files or Numpy arrays. It will return mAP value as well as AP for each class. Pip installation and examples available. Hope it helps.</p>\n\n<p><strong>Code</strong>: <a href=\"https://github.com/ZFTurbo/Mean-Average-Precision-for-Boxes\">https://github.com/ZFTurbo/Mean-Average-Precision-for-Boxes</a></p>",
  "messages": [
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      "postDate": "2019-09-22T19:00:04.007Z",
      "content": "<p>I recently released Python code to easy calculate mAP on set of predictions. You either can pass on input CSV files or Numpy arrays. It will return mAP value as well as AP for each class. Pip installation and examples available. Hope it helps.</p>\n\n<p><strong>Code</strong>: <a href=\"https://github.com/ZFTurbo/Mean-Average-Precision-for-Boxes\">https://github.com/ZFTurbo/Mean-Average-Precision-for-Boxes</a></p>",
      "rawMarkdown": "I recently released Python code to easy calculate mAP on set of predictions. You either can pass on input CSV files or Numpy arrays. It will return mAP value as well as AP for each class. Pip installation and examples available. Hope it helps.\n\n**Code**: https://github.com/ZFTurbo/Mean-Average-Precision-for-Boxes",
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    "631828": "I recently released Python code to easy calculate mAP on set of predictions. You either can pass on input CSV files or Numpy arrays. It will return mAP value as well as AP for each class. Pip installation and examples available. Hope it helps.\n\n**Code**: https://github.com/ZFTurbo/Mean-Average-Precision-for-Boxes",
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