我是使用Amazon Rekognition分析视频人脸的新手。
我正在使用startFaceSearch开始我的分析。作业成功完成后，我使用生成的 JobId 来调用getFaceSearch。
在我分析的第一个视频中，结果符合预期。但是当我分析第二个例子时，发生了一些奇怪的行为，我不明白为什么。
查看作为我的第二个视频的结果生成的 JSON，完全不同的面孔用相同的索引号标识。
请看下面的结果。
{
"Timestamp": 35960,
"Person": {
"Index": 11,
"BoundingBox": {
"Width": 0.09375,
"Height": 0.24583333730698,
"Left": 0.1875,
"Top": 0.375
},
"Face": {
"BoundingBox": {
"Width": 0.06993006914854,
"Height": 0.10256410390139,
"Left": 0.24475525319576,
"Top": 0.375
},
"Landmarks": [
{
"Type": "eyeLeft",
"X": 0.26899611949921,
"Y": 0.40649232268333
},
{
"Type": "eyeRight",
"X": 0.28330621123314,
"Y": 0.41610333323479
},
{
"Type": "nose",
"X": 0.27063181996346,
"Y": 0.43293061852455
},
{
"Type": "mouthLeft",
"X": 0.25983560085297,
"Y": 0.44362303614616
},
{
"Type": "mouthRight",
"X": 0.27296212315559,
"Y": 0.44758656620979
}
],
"Pose": {
"Roll": 22.106262207031,
"Yaw": 6.3516845703125,
"Pitch": -6.2676968574524
},
"Quality": {
"Brightness": 41.875026702881,
"Sharpness": 65.948883056641
},
"Confidence": 90.114051818848
}
}
}
{
"Timestamp": 46520,
"Person": {
"Index": 11,
"BoundingBox": {
"Width": 0.19034090638161,
"Height": 0.42083331942558,
"Left": 0.30681818723679,
"Top": 0.17916665971279
},
"Face": {
"BoundingBox": {
"Width": 0.076486013829708,
"Height": 0.11217948794365,
"Left": 0.38680067658424,
"Top": 0.26923078298569
},
"Landmarks": [
{
"Type": "eyeLeft",
"X": 0.40642243623734,
"Y": 0.32347011566162
},
{
"Type": "eyeRight",
"X": 0.43237379193306,
"Y": 0.32369664311409
},
{
"Type": "nose",
"X": 0.42121160030365,
"Y": 0.34618207812309
},
{
"Type": "mouthLeft",
"X": 0.41044121980667,
"Y": 0.36520344018936
},
{
"Type": "mouthRight",
"X": 0.43202903866768,
"Y": 0.36483728885651
}
],
"Pose": {
"Roll": 0.3165397644043,
"Yaw": 2.038902759552,
"Pitch": -1.9931464195251
},
"Quality": {
"Brightness": 54.697460174561,
"Sharpness": 53.806159973145
},
"Confidence": 95.216400146484
}
}
}
事实上，在这个视频中，所有面孔都有相同的索引号，无论它们是否不同。有什么建议么？