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Most people do not understand the knowledge points of this article "how to access Unity to AI to achieve fruit and vegetable identification", so the editor summarizes the following contents, detailed contents, clear steps, and has a certain reference value. I hope you can get something after reading this article. Let's take a look at this "how to access Unity to AI to achieve fruit and vegetable identification" article.

API description:

Identify the names of nearly 1000 kinds of fruits and vegetables, suitable for identifying pictures containing only one kind of fruits and vegetables, can customize the number of recognition results returned, and apply to the food APP related to the introduction of fruits and vegetables.

Create an application:

Search for image recognition in product services, create applications, and obtain AppID, APIKey, SecretKey information:

Check the official documents. The following are the details of the data parameters returned by the fruit and vegetable identification API:

Define the data structure:

Using System; / Fruit and vegetable identification / [Serializable] public class IngredientRecognition {/ unique log id for problem location / public float log_id; / the number of results returned, and the number of elements in the result array / public int result_num / public IngredientRecognitionResult [] result;} / [Serializable] public class IngredientRecognitionResult {/ public string name; / confidence / public float score;}

Download C# SDK:

Import the AipSdk.dll dynamic library into Unity when the download is complete:

The following are the details of the parameters passed when the API is called:

No overloaded functions called through url are found in the downloaded SDK, probably because the official documentation has not been updated:

Encapsulate the calling function:

Using System;using System.Collections.Generic;using UnityEngine; / Image recognition / public class ImageRecognition {/ / the following information is available on the Baidu developer Center console to create an application and get private const string appID = ""; private const string apiKey = ""; private const string secretKey = "" / Fruit and vegetable recognition / Picture byte data / returns the number of top results of the predicted score. If it is empty or less than 0, it defaults to 5. If it is greater than 20, default 20 / / public static IngredientRecognition Ingredient (byte [] bytes, int topNum = 5) {var client = new Baidu.Aip.ImageClassify.ImageClassify (apiKey, secretKey); try {var options = new Dictionary {{"top_num", topNum},}; var response = client.Ingredient (bytes, options) IngredientRecognition ingredientRecognition = JsonConvert.DeserializeObject (response.ToString ()); return ingredientRecognition;} catch (Exception error) {Debug.LogError (error);} return null;}}

Test picture:

Using System.IO;using UnityEngine; public class Example: MonoBehaviour {private void Start () {ImageRecognition.Ingredient (File.ReadAllBytes (Application.dataPath + "/ Picture.jpg");}}

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