Screen cropping

POST

/config/image-crop

Normalized Coordinates: Ensure the coordinates are normalized (values between 0 and 1) to maintain consistency across different image resolutions and devices.

Corner Points: Mark the four corners of the scale platform and use these points as the cropping area coordinates. This ensures accurate and consistent cropping across devices.

Mode Selection: Use the next mode for new devices and the origin mode for old devices to optimize recognition accuracy.

Data Synchronization: To ensure synchronization across multiple devices, standardize the cropping area coordinates during device setup and updates.

Request

Body Params application/json

points

array [object {2}]

required

crop coordinates

number | integer

required

number | integer

required

mode

string

required

Next or Origin, next new method, which can be used Don new devices, but not on old devices, otherwise the recognition rate will drop.

Example

{
  "points": [
    {
      "x": 0.1,
      "y": 0.3
    },
    {
      "x": 1,
      "y": 0
    },
    {
      "x": 1,
      "y": 1
    },
    {
      "x": 0,
      "y": 1
    }
  ],
  "mode": "Next"
}

Request samples

Shell

JavaScript

Java

Swift

PHP

Python

HTTP

Objective-C

Ruby

OCaml

Dart

curl --location --request POST 'http://localhost:17339/config/image-crop' \
--header 'Content-Type: application/json' \
--data-raw '{
    "points": [
        {
            "x": 0.1,
            "y": 0.3
        },
        {
            "x": 1.0,
            "y": 0.0
        },
        {
            "x": 1.0,
            "y": 1.0
        },
        {
            "x": 0.0,
            "y": 1.0
        }
    ],
    "mode": "Next"
}'

Responses

🟢204success

application/octet-stream

Body

object {0}

retrieve config

Screen cropping config