Point cloud object detection

Developing

Docker Compose

POST

http://localhost:8293/pointCloud/objectDetection

Identify objects in point cloud data.

In the response result, the top-level error code indicates whether the request was successful, such as invalid parameters. Regardless of whether each data is successfully processed, the error code on each data in the lower layer indicates whether the data is successfully processed.

The host and path are for reference only. When adding your own model service, you need to specify the interface address.

Request

Body Params application/json

datas

array [object {4}]

required

List of point cloud data to recognize

integer

required

pointCloudUrl

string

required

Point cloud file download address

imageUrls

array[string]

required

Camera picture download address list. In order of camera number

cameraConfigUrl

string

required

Camera parameter file download address

Example

{
  "datas": [
    {
      "id": 1,
      "pointCloudUrl": "https://basicai-alidev-app-dataset.oss-cn-shanghai.aliyuncs.com/1651739094707-30022/case-padaset/point_cloud/000001.pcd",
      "imageUrls": [
        "https://basicai-alidev-app-dataset.oss-cn-shanghai.aliyuncs.com/1651739094707-30022/case-padaset/image0/000001.jpg",
        "https://basicai-alidev-app-dataset.oss-cn-shanghai.aliyuncs.com/1651739094707-30022/case-padaset/image1/000001.jpg",
        "https://basicai-alidev-app-dataset.oss-cn-shanghai.aliyuncs.com/1651739094707-30022/case-padaset/image2/000001.jpg"
      ],
      "cameraConfigUrl": "https://basicai-alidev-app-dataset.oss-cn-shanghai.aliyuncs.com/1651739094707-30022/case-padaset/camera_config/000001.json"
    }
  ]
}

Request samples

Shell

JavaScript

Java

Swift

PHP

Python

HTTP

Objective-C

Ruby

OCaml

Dart

curl --location --request POST 'http://localhost:8293/pointCloud/objectDetection' \
--header 'Content-Type: application/json' \
--data-raw '{
    "datas": [
        {
            "id": 1,
            "pointCloudUrl": "https://basicai-alidev-app-dataset.oss-cn-shanghai.aliyuncs.com/1651739094707-30022/case-padaset/point_cloud/000001.pcd",
            "imageUrls": [
                "https://basicai-alidev-app-dataset.oss-cn-shanghai.aliyuncs.com/1651739094707-30022/case-padaset/image0/000001.jpg",
                "https://basicai-alidev-app-dataset.oss-cn-shanghai.aliyuncs.com/1651739094707-30022/case-padaset/image1/000001.jpg",
                "https://basicai-alidev-app-dataset.oss-cn-shanghai.aliyuncs.com/1651739094707-30022/case-padaset/image2/000001.jpg"
            ],
            "cameraConfigUrl": "https://basicai-alidev-app-dataset.oss-cn-shanghai.aliyuncs.com/1651739094707-30022/case-padaset/camera_config/000001.json"
        }
    ]
}'

Responses

🟢200Successful

application/json

Body

code

string

Error code

required

Error code. OK means success, the rest are failures

message

string

Error description

required

Error description. It can be empty

data

array [object {5}]

Data

required

Data

integer

required

Data ID

code

string

required

Error code (single data). OK means success, the rest means failure

message

string

required

Error description. It can be empty.

objects

array [object {11}]

required

A list of objects identified in the current data.

confidence

number

optional

Overall Data Confidence

Example

{
  "code": "OK",
  "message": "",
  "data": [
    {
      "id": 1,
      "code": "OK",
      "message": "",
      "objects": [
        {
          "label": "CAR",
          "confidence": 0.883,
          "x": -5.662,
          "y": -0.147,
          "z": 0.854,
          "dx": 4.354,
          "dy": 1.839,
          "dz": 1.605,
          "rotX": 0,
          "rotY": 0,
          "rotZ": 0.845
        }
      ],
      "confidence": 0.8
    }
  ]
}

Modified at 2024-05-15 03:02:45

Point cloud object detection

Image object detection