BasicAI CE Open & Plugin API
  1. Model
BasicAI CE Open & Plugin API
  • Open API
    • Dataset
      • Create Dataset
      • Edit Dataset
      • Delete Dataset
      • Query a single dataset
      • Query the list of datasets
      • Upload the dataset compressed package
      • Query the processing progress of the compressed dataset
      • Query the data under the dataset
      • Delete multiple data
      • Query a single data
      • Query multiple data
      • Generate presigned file upload url
      • Upload file through presigned url
    • Annotation
      • Get data and result information
      • Download dataset annotation results
    • Model
      • Image object detection
        POST
      • Point cloud object detection
        POST
  • Plugin API
    • Model
      • Point cloud object detection
      • Image object detection
  1. Model

Point cloud object detection

Docker Compose
http://localhost:8190/api
Docker Compose
http://localhost:8190/api
POST
http://localhost:8190/api
/model/pointCloud/recognition

Request

Authorization
Provide your bearer token in the
Authorization
header when making requests to protected resources.
Example:
Authorization: Bearer ********************
Body Params application/json
dataId
integer 
The data ID that needs to be predicted.
required
minConfidence
number 
Min confidence
required
(0,1)
maxConfidence
number 
Max confidence
required
(0,1)
classes
array[string]
Class list
required
["CAR","TRUCK","CONSTRUCTION_VEHICLE","BUS","TRAILER","BARRIER","MOTORCYCLE","BICYCLE","PEDESTRIAN","TRAFFIC_CONE"]
Example
{
  "dataId": 0,
  "minConfidence": 0,
  "maxConfidence": 0,
  "classes": [
    "string"
  ]
}

Request samples

Shell
JavaScript
Java
Swift
Go
PHP
Python
HTTP
C
C#
Objective-C
Ruby
OCaml
Dart
R
Request Request Example
Shell
JavaScript
Java
Swift
curl --location --request POST 'http://localhost:8190/api/model/pointCloud/recognition' \
--header 'Content-Type: application/json' \
--data-raw '{
    "dataId": 0,
    "minConfidence": 0,
    "maxConfidence": 0,
    "classes": [
        "string"
    ]
}'

Responses

🟢200Successful
application/json
Body
code
string 
Unicode
required
message
string 
Unified message
required
data
object 
Response data
required
modelCode
string 
Model code
required
PRE_LABEL
modelDataResults
array [object {2}] 
Model result
required
Example
{
  "code": "string",
  "message": "string",
  "data": {
    "modelCode": "string",
    "modelDataResults": [
      {
        "dataId": 0,
        "modelResult": {
          "code": 0,
          "dataId": 0,
          "message": "string",
          "objects": [
            {
              "size3D": {
                "x": 0,
                "y": 0,
                "z": 0
              },
              "objType": "string",
              "center3D": {
                "x": 0,
                "y": 0,
                "z": 0
              },
              "confidence": 0,
              "modelClass": "string",
              "rotation3D": {
                "x": 0,
                "y": 0,
                "z": 0
              }
            }
          ]
        }
      }
    ]
  }
}
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Image object detection
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Point cloud object detection
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