List frame spatial annotations for a dataset
GET
/v1/datasets/{datasetId}/frame-spatial-annotationscurl -X GET 'https://api.embodiflow.io/v1/datasets/{datasetId}/frame-spatial-annotations' \
-H 'Authorization: Bearer $EMBODIFLOW_PAT'认证
每个请求都需要携带个人访问令牌(PAT)。
- Authorization: Bearer PAT
路径参数
- datasetIdstring必填
查询参数
- pageSizenumber
- pageTokenstring
- includeDeletedboolean
响应
Success
- dataarray<DatasetFrameSpatialAnnotationDto>必填
- idstring必填
- tenantIdstring必填
- projectIdstring必填
- datasetIdstring必填
- datasetVersionIdstring | null必填
- datasetVersionFileIdstring必填
- frameIndexnumber必填
- frameStampSecnumber | null必填
- frameStampNsecnumber | null必填
- timeReferencestring必填
- datasetClassIdstring | null必填
- classNamestring | null必填
- trackIdstring | null必填
- trackKeystring | null必填
- bboxXnumber必填
- bboxYnumber必填
- bboxWidthnumber必填
- bboxHeightnumber必填
- occludedone of | null必填
- truncatedone of | null必填
- reviewStatusstring必填
- statusstring必填
- publishedSnapshotIdstring | null必填
- createdBystring | null必填
- updatedBystring | null必填
- createdAtstring必填
- updatedAtstring必填
- deletedAtstring | null必填
- attributesJsonobject | null必填
- metaobject必填
- pageSizenumber必填
- requestIdstring
- nextPageTokenstring
Opaque AIP-158 page token. Omitted when the collection is exhausted.
响应示例
{
"data": [
{
"id": "string",
"tenantId": "string",
"projectId": "string",
"datasetId": "string",
"datasetVersionId": "string",
"datasetVersionFileId": "string",
"frameIndex": 0,
"frameStampSec": 0,
"frameStampNsec": 0,
"timeReference": "string",
"datasetClassId": "string",
"className": "string",
"trackId": "string",
"trackKey": "string",
"bboxX": 0,
"bboxY": 0,
"bboxWidth": 0,
"bboxHeight": 0,
"occluded": false,
"truncated": false,
"reviewStatus": "string",
"status": "string",
"publishedSnapshotId": "string",
"createdBy": "string",
"updatedBy": "string",
"createdAt": "string",
"updatedAt": "string",
"deletedAt": "string",
"attributesJson": {}
}
],
"meta": {
"pageSize": 0,
"requestId": "string"
},
"nextPageToken": "string"
}服务器https://api.embodiflow.io/v1https://api.embodiflow.dev/v1