我目前正在使用Java中的计算机视觉API试用版，因此我从网站上获取了代码并成功获取了JSON。 但是，我得到的JSON格式与“演示”页面中显示的格式完全不同。
我的Json响应示例：
“区域”：[ { “ boundingBox”：“ 21,16,304,451”， “行”：[ { “ boundingBox”：“ 28,16,288,41”， “字”：[ { “ boundingBox”：“ 28,16,288,41”， “ text”：“没有” } ] }
Whereas the demo page is:
{ “行”：[ { “ boundingBox”：[ 122， 122， 401， 85， 404， 229， 143， 233 ]
看看边界框格式，我们可以清楚地看到差异
答案 0 :(得分：0)
您得到的响应是使用计算机视觉API的OCR作为example状态的结果：
{
"language": "en",
"textAngle": -2.0000000000000338,
"orientation": "Up",
"regions": [
{
"boundingBox": "462,379,497,258",
"lines": [
{
"boundingBox": "462,379,497,74",
"words": [
{
"boundingBox": "462,379,41,73",
"text": "A"
},
{
"boundingBox": "523,379,153,73",
"text": "GOAL"
},
{
"boundingBox": "694,379,265,74",
"text": "WITHOUT"
}
]
},
{
"boundingBox": "565,471,289,74",
"words": [
{
"boundingBox": "565,471,41,73",
"text": "A"
},
{
"boundingBox": "626,471,150,73",
"text": "PLAN"
},
{
"boundingBox": "801,472,53,73",
"text": "IS"
}
]
},
{
"boundingBox": "519,563,375,74",
"words": [
{
"boundingBox": "519,563,149,74",
"text": "JUST"
},
{
"boundingBox": "683,564,41,72",
"text": "A"
},
{
"boundingBox": "741,564,153,73",
"text": "WISH"
}
]
}
]
}
]
}
虽然来自演示页面的响应是使用Computer Vision API的Recognize Text然后使用Get Recognize Text Operation Result来获得操作结果的结果，如example所示：
{
"status": "Succeeded",
"recognitionResult": {
"lines": [
{
"boundingBox": [
202,
618,
2047,
643,
2046,
840,
200,
813
],
"text": "Our greatest glory is not",
"words": [
{
"boundingBox": [
204,
627,
481,
628,
481,
830,
204,
829
],
"text": "Our"
},
{
"boundingBox": [
519,
628,
1057,
630,
1057,
832,
518,
830
],
"text": "greatest"
},
{
"boundingBox": [
1114,
630,
1549,
631,
1548,
833,
1114,
832
],
"text": "glory"
},
{
"boundingBox": [
1586,
631,
1785,
632,
1784,
834,
1586,
833
],
"text": "is"
},
{
"boundingBox": [
1822,
632,
2115,
633,
2115,
835,
1822,
834
],
"text": "not"
}
]
},
{
"boundingBox": [
420,
1273,
2954,
1250,
2958,
1488,
422,
1511
],
"text": "but in rising every time we fall",
"words": [
{
"boundingBox": [
423,
1269,
634,
1268,
635,
1507,
424,
1508
],
"text": "but"
},
{
"boundingBox": [
667,
1268,
808,
1268,
809,
1506,
668,
1507
],
"text": "in"
},
{
"boundingBox": [
874,
1267,
1289,
1265,
1290,
1504,
875,
1506
],
"text": "rising"
},
{
"boundingBox": [
1331,
1265,
1771,
1263,
1772,
1502,
1332,
1504
],
"text": "every"
},
{
"boundingBox": [
1812,
1263,
2178,
1261,
2179,
1500,
1813,
1502
],
"text": "time"
},
{
"boundingBox": [
2219,
1261,
2510,
1260,
2511,
1498,
2220,
1500
],
"text": "we"
},
{
"boundingBox": [
2551,
1260,
3016,
1258,
3017,
1496,
2552,
1498
],
"text": "fall"
}
]
},
{
"boundingBox": [
1612,
903,
2744,
935,
2738,
1139,
1607,
1107
],
"text": "in never failing ,",
"words": [
{
"boundingBox": [
1611,
934,
1707,
933,
1708,
1147,
1613,
1147
],
"text": "in"
},
{
"boundingBox": [
1753,
933,
2132,
930,
2133,
1144,
1754,
1146
],
"text": "never"
},
{
"boundingBox": [
2162,
930,
2673,
927,
2674,
1140,
2164,
1144
],
"text": "failing"
},
{
"boundingBox": [
2703,
926,
2788,
926,
2790,
1139,
2705,
1140
],
"text": ","
}
]
}
]
}
}