解读视频对象跟踪模型的预测结果

请求预测后,Vertex AI 会根据您的模型目标返回结果。根据您自己定义的标签,对象跟踪模型的预测结果会返回要跟踪的对象的时间和位置。该模型会为每个预测结果分配置信度分数,以表明模型准确识别和跟踪对象的置信度。数字越大,模型对预测正确度的置信度越高。

批量预测输出示例

以下示例是在视频中跟踪猫和狗的模型的预测结果。每个结果都包含所跟踪对象的标签(catdog)、指定所跟踪对象的时间和跟踪时长的时间细分,以及描述对象位置的边界框。

 {   "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   }] }