oralDiseasePredictionRun - Oral disease prediction analysis

oralDiseasePredictionRun(params: Object)

Requires:

AIKit≥1.6.0@ray-js/ray≥1.7.43

Platforms:

iOSAndroid

import { ai } from '@ray-js/ray';

const { oralDiseasePredictionRun } = ai;

// Promise usage
try {
  const res = await oralDiseasePredictionRun({ ...params });
  console.log(res);
} catch (err) {
  console.log(err.errorMsg);
}

Description

Oral disease prediction

Parameters

Property	Type	Required	Description	AIKit Since
`devId`	string	Yes	Device name	v2.0.1
`inputImagePath`	string	Yes	Image input path	-
`outImagePath`	string	Yes	Image output directory	-
`complete`	() => void	No	Completion callback (executed on both success and failure)	-
`success`	(params: Object) => void	No	Callback on successful API call	-
`fail`	(params: Object) => void	No	Failure callback	-

success callback parameters

Property	Type	Description
`nonOral`	boolean	Whether it is a non-oral image
`diseaseType`	string[]	Prediction result Normal Normal Calculus Calculus Caries Caries Gingivitis Gingivitis Ulcers Ulcers Discoloration Tooth discoloration Hypodontia Tooth hypoplasia
`heatMapPath`	string	Model heatmap
`sunlightPath`	string	Daylight mode filter
`chromaPath`	string	Periodontal mode filter image
`grayscalePath`	string	Caries mode filter image

fail callback parameters

Property	Type	Description
`errorMsg`	string	Error message
`errorCode`	string \| number	Error code
		Error extension

Return Value

None

Examples

import { ai } from '@ray-js/ray'

ai.oralDiseasePredictionRun({
  devId: "xx",
  inputImagePath: "xx",
  outImagePath: "xx",
  success: data => {
    console.log(data);
  },
  fail: error => {
    console.error(error);
  },
});