Pangu-CV-ObjectDetection-S-3.1.0
Function
The Pangu CV Object Detection Model can find all the objects of interest in an image and determine their locations and labels.
Service API calling method:
- Image inference is supported.
- Image inference services can be deployed as real-time services or edge services.
Authorization Information
An account has required permissions to call all APIs by default. To call this API as an IAM user, the IAM user must be granted the required permissions. For details, see Permissions and Supported Actions.
URI
POST /v1/{project_id}/infer-api/proxy/service/{deployment_id}/
For details about how to obtain the URI, see Request URI.
| Parameter | Mandatory | Type | Description |
|---|---|---|---|
| project_id | Yes | String | Definition: Project ID. For details about how to obtain a project ID, see Obtaining the Project ID. Constraints: N/A Value range: N/A Default value: N/A |
| deployment_id | Yes | String | Definition: Model deployment ID. For details about how to obtain the deployment ID, see Obtaining the Model Deployment ID. Constraints: N/A Value range: N/A Default value: N/A |
Request Parameters
| Parameter | Mandatory | Type | Description |
|---|---|---|---|
| X-Auth-Token | Yes | String | Definition: User token. Used to obtain the permission required to call APIs. The token is the value of X-Subject-Token in the response header in Figure 4. Constraints: N/A Value range: N/A Default value: N/A |
| Content-Type | Yes | String | Definition: MIME type of the body in the request. Constraints: N/A Value range: N/A Default value: application/json |
| Parameter | Mandatory | Type | Description |
|---|---|---|---|
| X-Apig-AppCode | Yes | String | Definition: API key. Used to obtain the permission required to call APIs. The API key is the value of X-Apig-AppCode in the response header in API key authentication. Constraints: N/A Value range: N/A Default value: N/A |
| Content-Type | Yes | String | Definition: MIME type of the body in the request. Constraints: N/A Value range: N/A Default value: application/json |
| Parameter | Mandatory | Type | Description |
|---|---|---|---|
| images | Yes | String | Definition: Base64-encoded image. The image size cannot exceed 2 KB. By default, only the RGB three-channel images are supported. Constraints:
Value range: N/A Default value: N/A |
| threshold | No | String | Definition: Bounding box confidence threshold. Enabling logic: 1. If ENABLE_ALL_OUTPUTS is set to true, all results are output, and the input threshold and default optimal threshold are not used. 2. If threshold is passed, and ENABLE_ALL_OUTPUTS is set to false, the passed threshold is preferentially used for result filtering. 3. If threshold is not passed or threshold is set to -1, and ENABLE_ALL_OUTPUTS is set to false, the default optimal threshold is used for inference. Constraints: N/A Value range: The value ranges from 0.0 to 1.0. Default value: -1 |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| result | List | Definition: Object detection result Constraints: N/A Value range: N/A Default value: N/A |
| dataset_id | String | Definition: Training dataset ID Constraints: N/A Value range: N/A Default value: N/A |
| Parameter | Type | Description |
|---|---|---|
| RegisterMatrix | List | Definition: Image feature matrix. Definition: Confidence score Constraints: N/A Value range: N/A Default value: The default value is [[1, 0, 0], [0, 1, 0], [0, 0, 1]]. |
| Label | String | Definition: Prediction label, which is related to the label name in the training data. Constraints: N/A Value range: N/A Default value: N/A |
| Score | Float | Definition: Confidence score Constraints: N/A Value range: 0~1 Default value: N/A |
| Box | Dict | Definition: Information about the bounding box of the detected object, in the format of {"x":x1,"y":y1,"width":w,"height":h,"angle":r}
Constraints: N/A Value range: N/A Default value: N/A |
Example Request
There are three invocation modes:
The invoking modes are as follows:
1. form-data mode
{
"file":"xxx(base64 encode image data)"
} 2. Base64 JSON mode
{
"Files":
[{"ImageData":"xxx(base64 encode image data)"}]
} 3. Base64 JSON mode (with optional threshold)
{
"images":"xxx(base64 encode image data)",
"threshold":"0.4"
} Example Response
{
"dataset_id": "12345",
"result": [
{
"RegisterMatrix": [
[
1,
0,
0
],
[
0,
1,
0
],
[
0,
0,
1
]
]
},
{
"Box": {
"X": 0,
"Y": 0,
"Width": 100,
"Height": 100,
"Angle": 0
},
"Score": 0.9,
"label": "person"
}
]
} Status Codes
For details, see Status Codes.
Error Codes
For details, see Error Codes.
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