🔍 图像识别 · 云端API文档

import("com.nx.assist.lua.LuaEngine")
import("android.graphics.BitmapFactory")
import("android.util.Base64")

function CompressPicture(bitmap, quality)
    local baos = ByteArrayOutputStream()
    bitmap.compress(Bitmap.CompressFormat.JPEG, quality, baos)
    local encoded = Base64.encodeToString(baos.toByteArray(), Base64.DEFAULT)
    baos.close()
    if bitmap and not bitmap.isRecycled() then bitmap.recycle() end
    return encoded
end

local bitmap = LuaEngine.snapShot(0,0,0,0)
local base64Img = CompressPicture(bitmap, 80)    -- 质量80%
local payload = {
    Byte = base64Img,
    Save = false,
    Size = 640,
    Prob = 0.45,
    Nms = 0.55
}
local resp = httpPost("http://101.91.144.59:9999/TYT", jsonLib.encode(payload))
local data = jsonLib.decode(resp)
if data.Code == 200 then
    print("检测到目标:", #data.Detections)
end

require("TSLib")
require("tsnet")
local ts = require("ts")
local json = ts.json

local imgPath = "/sdcard/screenshot.png"
snapshot(imgPath, 0, 0, 720, 1280)  -- 自定义区域
local base64Data = imageBase64(imgPath)

local postData = {
    Byte = base64Data,
    Save = false,
    Size = 640,
    Prob = 0.45,
    Nms = 0.55
}

local _, _, respBody = http.post("http://101.91.144.59:9999/TYT", 
    {postdata = json.encode(postData)})
local result = json.decode(respBody)
if result and result.Code == 200 then
    for _, obj in pairs(result.Detections or {}) do
        nLog(obj.label, obj.confidence)
    end
end

Import "ShanHai.lua"
Dim 图片路径="/sdcard/pic.png"
SnapShot 图片路径
Dim 文件数据 = file.Read(图片路径)
Dim 图片Base64 = ShanHai.Base64En(文件数据)

Dim 请求表 = {"Byte":图片Base64, "Save":False, "Size":640, "Prob":0.45, "Nms":0.55}
Dim jsonStr = Encode.TableToJson(请求表)
Dim 地址 = "http://101.91.144.59:9999/TYT"
Dim 响应 = Url.HttpPost({"url":地址, "data":jsonStr})
Dim 结果 = Encode.JsonToTable(响应)
If 结果["Code"] = 200 Then
    TracePrint "识别成功，共有" & UBound(结果["Detections"])+1 & "个目标"
End If

// 示例基于auto.js或普通JS环境
let BitMap = screen.screenShot(640, 960, 100).compress('jpg', 30);
let base64Str = BitMap.toBase64();

let content = {
    Byte: base64Str,
    Save: false,
    Size: 640,
    Prob: 0.45,
    Nms: 0.55
};

let url = "http://101.91.144.59:9999/TYT";
let response = new okHttp().json(url, JSON.stringify(content));
let data = JSON.parse(response);
if (data.Code === 200) {
    console.log("检测结果:", data.Detections);
}