Upload training images by File

开发环境

http://dev-cn.your-api-server.com

POST

/OCR/Model/{model_id}/UploadFile/

You can use this endpoint to upload training images for a category (for the specified model) using locally stored files. You will receive model information along with total number of images per category on successful execution.
Note: Filename in Data must be the same as that of the uploaded image name.

请求参数

Path 参数

Body 参数multipart/form-data

返回响应

🟢200Model Object

application/json

Body

🟠400Category not valid for model. Check if this model has the category used in the request OR File missing. Check if you have included the file in the request OR Incorrect image. Check if file you included is valid PNG or JPEG file

🟠404Model does not exists. Check if the model id exists

请求示例

Shell

JavaScript

Java

Swift

curl --location --request POST 'http://dev-cn.your-api-server.com/OCR/Model//UploadFile/' \
--form 'data=""' \
--form 'file=@""'

响应示例

200 - response

{
    "Data": [
        {
            "filename": "example.jpeg",
            "id": "00000000-0000-0000-0000-000000000000",
            "object": [
                {
                    "bndbox": {
                        "xmax": 100,
                        "xmin": 1,
                        "ymax": 100,
                        "ymin": 1
                    },
                    "name": "category1"
                }
            ],
            "size": {
                "height": 1024,
                "width": 1024
            }
        }
    ],
    "Meta": {
        "Accuracy": 0,
        "Categories": [
            {
                "count": 0,
                "name": "category1"
            },
            {
                "count": 0,
                "name": "category2"
            }
        ],
        "ModelID": "00000000-0000-0000-0000-000000000000",
        "ModelType": "localization",
        "State": 0,
        "Status": "Current Status"
    }
}

修改于 2024-05-29 05:52:24

Train Model

Upload training images by Url