Async Prediction for image file

开发环境

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

POST

/OCR/Model/{model_id}/LabelFile/

Use the model to predict which one of the categories an image (given an image file) belongs to.

请求参数

Path 参数

Query 参数

Body 参数multipart/form-data

返回响应

🟢200message can contain 3 status messages 1. success - file has been successfully processed 2. pending - file is in the queue and will be processed 3. failure - There was an issue while processing the file. It has been retrried 3 times. It is recommended to r

application/json

Body

🟠400File missing. Check if you have included a file in the request OR Incorrect image. Check if file you included is a valid PNG or JPEG

🟠402Exhausted Free API Calls. You have exhausted your free API calls please change your plan <a href="https://app.nanonets.com/user/apps">here</a>

🟠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//LabelFile/?async=true' \
--form 'file=@""'

响应示例

200 - response

{
    "message": "Success",
    "result": [
        {
            "message": "Success",
            "result": [
                {
                    "file_url": "uploadedfiles/00000000-0000-0000-0000-000000000000/PredictionImages/original_file_name-xxxx.jpeg",
                    "filepath": "uploadedfiles/00000000-0000-0000-0000-000000000000/PredictionImages/filename.jpeg",
                    "id": "00000000-0000-0000-0000-000000000000",
                    "input": "filename.jpg",
                    "message": "Success",
                    "page": 55,
                    "prediction": [],
                    "request_file_id": "00000000-0000-0000-0000-000000000000",
                    "request_metadata": "metadata sent during prediction"
                }
            ]
        }
    ]
}

修改于 2024-05-29 05:52:24

Prediction for image file

Prediction for image url