解讀影片物件追蹤模型的預測結果

在提出預測要求後,Vertex AI 會根據模型的目標傳回結果。物件追蹤模型的預測結果會根據您定義的標籤,傳回要追蹤的物件時間和位置。模型會為每項預測指定可信度分數,代表模型準確識別及追蹤物體的信心程度。這個數字越高,模型對預測正確性的信心就越高。

批次預測輸出結果範例

以下範例是追蹤影片中貓咪和狗狗的模型預測結果。每個結果都包含追蹤物件的標籤 (catdog)、指定物件追蹤時間和時間長度的時間區段,以及描述物件位置的定界框。

{
  "instance": {
   "content": "gs://bucket/video.mp4",
    "mimeType": "video/mp4",
    "timeSegmentStart": "1s",
    "timeSegmentEnd": "5s"
  }
  "prediction": [{
    "id": "1",
    "displayName": "cat",
    "timeSegmentStart": "1.2s",
    "timeSegmentEnd": "3.4s",
    "frames": [{
      "timeOffset": "1.2s",
      "xMin": 0.1,
      "xMax": 0.2,
      "yMin": 0.3,
      "yMax": 0.4
    }, {
      "timeOffset": "3.4s",
      "xMin": 0.2,
      "xMax": 0.3,
      "yMin": 0.4,
      "yMax": 0.5,
    }],
    "confidence": 0.7
  }, {
    "id": "1",
    "displayName": "cat",
    "timeSegmentStart": "4.8s",
    "timeSegmentEnd": "4.8s",
    "frames": [{
      "timeOffset": "4.8s",
      "xMin": 0.2,
      "xMax": 0.3,
      "yMin": 0.4,
      "yMax": 0.5,
    }],
    "confidence": 0.6
  }, {
    "id": "2",
    "displayName": "dog",
    "timeSegmentStart": "1.2s",
    "timeSegmentEnd": "3.4s",
    "frames": [{
      "timeOffset": "1.2s",
      "xMin": 0.1,
      "xMax": 0.2,
      "yMin": 0.3,
      "yMax": 0.4
    }, {
      "timeOffset": "3.4s",
      "xMin": 0.2,
      "xMax": 0.3,
      "yMin": 0.4,
      "yMax": 0.5,
    }],
    "confidence": 0.5
  }]
}