度大师OCR API文档

-- 引入必要的模块
local https = require("ssl.https")
local ltn12 = require("ltn12")

-- 度大师OCR函数定义
function 度大师OCR(x1, y1, x2, y2)
    -- 先截图并保存到指定路径
    snapShot("/mnt/sdcard/test.png", x1, y1, x2, y2)
    
    -- 读取图片并转换为base64
    local post_data = getFileBase64("/mnt/sdcard/test.png")
    
    -- 发送HTTP请求
    local response_body = {}
    local headers = {
        ["Content-Type"] = "application/json",
        ["Content-Length"] = tostring(#post_data)
    }
    
    local res, code, response_headers = https.request{
        url = "https://w.duds.cn/api/ocr_proxy.php?apikey=099ab58a13f036bfb710ab6bc172ef3f",
        method = "POST",
        headers = headers,
        source = ltn12.source.string(post_data),
        sink = ltn12.sink.table(response_body)
    }
    
    -- 处理响应
    return table.concat(response_body)
end

-- 调用示例
local result = 度大师OCR(100, 200, 500, 350)
dialog("识别结果: " .. result, 0)

function 度大师ocr(x1, y1, x2, y2)
    -- 屏幕截图
    snapshot("1.png", x1, y1, x2, y2)
    
    -- 加载所需库
    local sz = require("sz")
    local ts = require("ts")
    local http = require("szocket.http")
    local ltn12 = require("ltn12")
    
    -- 转换图片为Base64
    local post_data = imageBase64(userPath() .. "/res/1.png")
    
    -- 准备HTTP请求
    local response_body = {}
    local staus, code, header = http.request{
        url = "https://w.duds.cn/api/ocr_proxy.php?apikey=e7f0ed01c3ccf84a6ee25db8da89ffc61",
        method = "POST",
        headers = {
            ["Content-Type"] = "application/json",
            ["Content-Length"] = #post_data,
        },
        source = ltn12.source.string(post_data),
        sink = ltn12.sink.table(response_body),
    }
    
    -- 处理响应
    local aaaa = table.concat(response_body)
    if aaaa ~= "" then
        return aaaa
    else
        return "未知" -- 所有 URL 都尝试失败后返回"未知"
    end
end

-- 调用度大师OCR函数识别屏幕区域(100,200)到(500,350)的文字
local result = 度大师ocr(100, 200, 500, 350)
print("识别结果: " .. result)