
车辆类型检测
| 参数名 | 含义 | 数据类型 | 是否必填 | 缺省值 |
| type | 使用的数据类型,目前仅支持两种类型image|video,image:图片格式(默认) video:视频格式 | string | 否 | / |
| path | 图片格式: (1)影像外部链接方式 (2)通过系统文件上传接口,返回的图片路径 视频格式: (3)通过系统文件上传接口,返回视频的路径 | string | 是 | / |
| keyframe | 当上传视频类型时,是否返回关键帧信息;默认为true,返回关键帧信息;false,不返回关键帧信息 | boolean | 否 | / |
| 参数名 | 含义 | 规则数据 |
| code | 200 | 状态码,非200表示没有正常获取到数据 |
| data | String | 返回数据 |
| data-status | String | 状态码,非success表示没有正常获取到数据 |
| data-detail | String | 返回详情 |
请求示例
https://api.open.geovisearth.com/pj/ai-service/braindl/car_type?type=image&path=https://io-qos.geovisearth.com/getfile/15/open-platform/braindl_car_type.jpg&token=您的token返回示例
{
"code": 200,
"message": "success",
"data": {
"status": "success",
"detail": [
{
"predictions": [
{
"x1": 111,
"y1": 206,
"x2": 138,
"y2": 232,
"score": 0.853196918964386,
"class_id": 3,
"class_name": "car"
},
{
"x1": 94,
"y1": 166,
"x2": 116,
"y2": 186,
"score": 0.8307608366012573,
"class_id": 3,
"class_name": "car"
},
{
"x1": 145,
"y1": 155,
"x2": 166,
"y2": 173,
"score": 0.8281368017196655,
"class_id": 3,
"class_name": "car"
},
{
"x1": 130,
"y1": 126,
"x2": 149,
"y2": 139,
"score": 0.8040590882301331,
"class_id": 3,
"class_name": "car"
},
{
"x1": 126,
"y1": 239,
"x2": 155,
"y2": 256,
"score": 0.8004173040390015,
"class_id": 3,
"class_name": "car"
},
{
"x1": 152,
"y1": 168,
"x2": 175,
"y2": 188,
"score": 0.7815958261489868,
"class_id": 3,
"class_name": "car"
},
{
"x1": 165,
"y1": 199,
"x2": 192,
"y2": 226,
"score": 0.7782855033874512,
"class_id": 3,
"class_name": "car"
},
{
"x1": 78,
"y1": 32,
"x2": 90,
"y2": 39,
"score": 0.7352278232574463,
"class_id": 3,
"class_name": "car"
},
{
"x1": 79,
"y1": 109,
"x2": 96,
"y2": 121,
"score": 0.7217410802841187,
"class_id": 3,
"class_name": "car"
},
{
"x1": 73,
"y1": 97,
"x2": 89,
"y2": 109,
"score": 0.7144657969474792,
"class_id": 3,
"class_name": "car"
},
{
"x1": 113,
"y1": 91,
"x2": 128,
"y2": 103,
"score": 0.703825056552887,
"class_id": 3,
"class_name": "car"
},
{
"x1": 77,
"y1": 62,
"x2": 86,
"y2": 74,
"score": 0.6788995265960693,
"class_id": 4,
"class_name": "van"
},
{
"x1": 72,
"y1": 87,
"x2": 87,
"y2": 95,
"score": 0.6677185893058777,
"class_id": 3,
"class_name": "car"
},
{
"x1": 90,
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"score": 0.6654470562934875,
"class_id": 3,
"class_name": "car"
},
{
"x1": 93,
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"score": 0.6570988893508911,
"class_id": 3,
"class_name": "car"
},
{
"x1": 85,
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"y2": 50,
"score": 0.6514163613319397,
"class_id": 3,
"class_name": "car"
},
{
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"score": 0.6499744653701782,
"class_id": 3,
"class_name": "car"
},
{
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"y2": 133,
"score": 0.649040937423706,
"class_id": 3,
"class_name": "car"
},
{
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"score": 0.6404799222946167,
"class_id": 3,
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},
{
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},
{
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"score": 0.6189426183700562,
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"class_name": "car"
},
{
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"y2": 124,
"score": 0.5878199338912964,
"class_id": 4,
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},
{
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"score": 0.5772347450256348,
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"class_name": "van"
},
{
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},
{
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},
{
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},
{
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"class_id": 0,
"class_name": "pedestrian"
},
{
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},
{
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},
{
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"score": 0.4201820194721222,
"class_id": 0,
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
"x1": 234,
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"score": 0.23166483640670776,
"class_id": 1,
"class_name": "people"
},
{
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},
{
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{
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{
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}
]
}
]
}
}