備忘錄_20160105

目前條件	欄位	設定條件
5	限定筆數
0～999999999999	序號	～
100～100	能見度	～
00010101～20251027	登錄日期	～
000000～235959	登錄時間	～
	鬆散關鍵字1	標題或內容任一符合即可
	標題關鍵字1
	標題關鍵字2
	類別關鍵字
	內容關鍵字1
	內容關鍵字2

一張圖片(jpg or png ......)，一個音檔(mp3 or m4a ......)，組成一個影片(mp4 [h.264+aac])

前往試試

index.php

<!doctype html>
<html lang="zh-Hant-TW">
  <head>
    <meta http-equiv="content-type" content="text/html; charset=utf-8">
    <title>圖片+聲音→影片</title>
    <style>
*
{
  font-size: 24pt;
}

.classTitle
{
  font-size: 36pt;
}
#divProgress
{
  white-space: pre-wrap; /* 保留空格和換行，長行自動換行 */
  word-wrap: break-word; /* 避免超長單字溢出 */
  font-family: monospace; /* 可選，看起來像 pre */
}
    </style>
  </head>
  <body>
    <div class="classTitle">圖片+聲音→影片</div>
    <br>
    <form class="classFormMaster" name="frm20251020102957" id="frm20251020102957" method="post" action="convert2mp4.php" enctype="multipart/form-data">
      <div>
        <label for="fileImage">圖片</label>
        <input type="file" name="fileImage" id="fileImage" accept="image/*" required>
      </div>
      <div>
        <label for="fileAudio">聲音</label>
        <input type="file" name="fileAudio" id="fileAudio" accept="audio/*" required>
      </div>
      <input type="hidden" name="txtUniq" id="txtUniq" value="">
      <button type="button" id="btnSubmit" onclick="checkAndSubmit_master();">送出</button>
    </form>
    <div id="divProgress"></div>
    <script>
function gebi(strId)
{
  return document.getElementById(strId);
}

function checkAndSubmit_master()
{
  gebi('btnSubmit').setAttribute("disabled",true);
  gebi('txtUniq').value="progress-"+Math.random().toString(36).substr(2, 16)+".txt";
  
  while(true)
  {
    if(gebi('fileImage').files.length<1)
    {
      alert("抱歉，您還沒有選擇圖片喔！請修正後再上傳，謝謝！");
      break;
    }
    
    if(gebi('fileAudio').files.length<1)
    {
      alert("抱歉，您還沒有選擇聲音喔！請修正後再上傳，謝謝！");
      break;
    }
    
    gebi('frm20251020102957').submit();
    gebi("divProgress").innerHTML="上傳中，請耐心等待，謝謝！";
    
    showProgress();
    
    return;
  }

  gebi('btnSubmit').removeAttribute("disabled");
}

async function showProgress()
{
  let strFilename="tmp/"+gebi('txtUniq').value;
  let oRes=await fetch(strFilename+"?rand=" + Math.random());
  let strTxt = await oRes.text();
  
  console.log((new Date()).toLocaleString());
  
  if(strTxt.indexOf("progress=end")!=-1)
  {
    gebi('divProgress').innerHTML="";
    gebi('btnSubmit').removeAttribute("disabled");
  }
  else if(strTxt.indexOf("404 Not Found")!=-1)
  {
    gebi('divProgress').innerHTML="上傳中，請稍候~~~"+(new Date()).toLocaleString();
    window.setTimeout(showProgress, 1000);
  }
  else
  {
    var iPtr=strTxt.lastIndexOf('frame=');
    if(iPtr!=-1)
    {
      strTxt=strTxt.substring(iPtr);
    }
    
    gebi('divProgress').textContent=strTxt;
    window.scrollTo(0, document.body.scrollHeight);
    window.setTimeout(showProgress, 2000);
  }
}
    </script>
  </body>
</html>

convert2mp4.php

<?php

  //$strTmpDir=sys_get_temp_dir();
  $strTmpDir=rtrim(dirname(realpath(__FILE__)), DIRECTORY_SEPARATOR) . DIRECTORY_SEPARATOR . "tmp";
  
  $strExtImage=pathinfo($_FILES['fileImage']['name'], PATHINFO_EXTENSION);
  $strExtAudio=pathinfo($_FILES['fileAudio']['name'], PATHINFO_EXTENSION);
  
  $strImage=$strTmpDir . "/" . uniqid() . "." . $strExtImage;
  $strAudio=$strTmpDir . "/" . uniqid() . "." . $strExtAudio;

  $strProgressFilename=$strTmpDir . "/" . $_REQUEST['txtUniq'];
  
  $booImage=move_uploaded_file($_FILES['fileImage']['tmp_name'], $strImage);
  $booAudio=move_uploaded_file($_FILES['fileAudio']['tmp_name'], $strAudio);
  
  $strVideo=$strTmpDir . "/" . uniqid() . ".mp4";
  
  // 檢查檔案
  if (!file_exists($strImage) || !file_exists($strAudio))
  {
    die("缺少檔案，終止執行！(上傳檔案上限為100MB)");
  }
  
  // ffmpeg 指令
  $strCmd = sprintf(
    'ffmpeg -loop 1 -i %s -i %s -vf "scale=\'trunc(min(iw\\,1280)/2)*2:trunc(min(ih\\,720)/2)*2\',format=yuv420p" -c:v libx264 -tune stillimage -c:a aac -b:a 192k -pix_fmt yuv420p -shortest -progress %s %s 2>&1',
    escapeshellarg($strImage),
    escapeshellarg($strAudio),
    escapeshellarg($strProgressFilename),
    escapeshellarg($strVideo)
  );
  
  file_put_contents($strTmpDir . '/log.log', $strCmd . "\r\n" , FILE_APPEND);
  
  // 執行 ffmpeg
  exec($strCmd, $strLog, $strRet);

  // 清除原始檔
  @unlink($strImage);
  @unlink($strAudio);

  // 檢查結果
  if(file_exists($strVideo)==false)
  {
    header("Content-Type: text/plain; charset=utf-8");
    echo "影片產生失敗。\r\n";
    echo htmlspecialchars(implode("\r\n", $strLog));
    exit;
  }
  
  // 回傳下載
  header('Content-Description: File Transfer');
  header('Content-Type: video/mp4');
  header('Content-Disposition: attachment; filename="result.mp4"');
  header('Content-Length: ' . filesize($strVideo));
  readfile($strVideo);
  
  // 刪除暫存影片,與進度
  @unlink($strVideo);
  @unlink($strProgressFilename);
  
?>

windows10 + pyttsx3, 文字轉語音

import pyttsx3

list1=["1 小鎮","2 柿餅節","3 開始","4 靜靜的","5 新埔","6 因此","7 變得","8 熱鬧","9 走進小鎮","10 飄了過來","11 看到","12 屋前","13 屋後","14 都排了","15 遠看","16 一籃","17 陽光","18 金黃色","19 近看","20 可愛","21 每年九月","22 這裡","23 慢慢風乾","24 變成","25 香甜","26 遊客","27 除了","28 客家菜","29 也會買","30 送給","31 親朋好友","32 心想事成","33 事事如意"]

engine = pyttsx3.init()

# 列出所有可用語音
voices = engine.getProperty('voices')
for v in voices:
    print(v.id)

# 選擇中文語音（依系統而定，通常包含 "ZH" 或 "Chinese"）
for v in voices:
    if "ZH" in v.id.upper() or "CHINESE" in v.name.upper():
        engine.setProperty('voice', v.id)
        break

engine.setProperty('rate', 180)   # 語速
engine.setProperty('volume', 1.0) # 音量

for lst1 in list1:
  #print(lst1)
  engine.say(lst1)
  engine.runAndWait()
  input("press enter to continue")

運用 python 讓電腦即時監聽，錄音，辨識成文字。當聽到再見時，程式就會停下來。----語音助理前哨站(opus)

import threading
import time

# pyenv shell 3.13.1
# sudo apt install portaudio19-dev
# pip install pyaudio
import pyaudio

import numpy as np
import wave

# pyenv shell 3.13.1
# pip3 install torch torchvision --index-url https://download.pytorch.org/whl/cpu
import torch 

# pyenv shell 3.13.1
# sudo apt install ffmpeg 
# pip install -U openai-whisper
import whisper 

# pyenv shell 3.13.1
# pip install opencc
from opencc import OpenCC

# pip install soundfile
import soundfile

import subprocess

import io

iIndexWrite=0
iIndexRead=0
iCount=0
iMax=10
booStop=False

def getFDecibel(oAudioData):
    oAudioData=oAudioData.astype(np.float32) # 轉換為浮點數，避免整數溢出
    fRMS=np.sqrt(np.mean(np.square(oAudioData))) # 計算rms
    if fRMS>0:
        fDecibel=20*np.log10(fRMS+1e-10) # 避免 log(0) 錯誤
    else:
        fDecibel=-np.inf
    return fDecibel

def getStrAduioFilename(iIndex):
    return "rec_"+str(iIndex)+".ogg"

def threadA():
    
    global iIndexWrite, iIndexRead, iCount, iMax, booStop
    
    CHUNK=1024 # 單次讀取的樣本數
    FORMAT=pyaudio.paInt16 # 音訊格式(16-bit)
    CHANNELS=1 # 單聲道
    RATE=16000 # 取樣率(Hz)
    THRESHOLD_DB=70 # 觸發錄音的分貝閥值
    SILENCE_DURATION=1 # 安靜維持幾秒後停止錄音
    DROP_DURATION=2 # 長度不足就丟棄
    CUT_DURATION=30 # 超過就截斷
    
    oAudio=pyaudio.PyAudio()
    oStream=oAudio.open(format=FORMAT, channels=CHANNELS, rate=RATE, input=True, frames_per_buffer=CHUNK)
    
    booRecording=False
    oaAudioData=[]
    iTotalSamples=0
    fSilenceStart=None
    
    print("開始聆聽")
    
    try:
        while booStop==False:
            # 讀取音訊數據
            oAudioData=np.frombuffer(oStream.read(CHUNK, exception_on_overflow=False), dtype=np.int16)
            fDecibel=getFDecibel(oAudioData)
            
            # print(f"目前分貝數：{fDecibel:.2f} dB")
            
            if fDecibel>THRESHOLD_DB:
                fSilenceStart=None # 重置靜音計時
            
            if booRecording==False and fDecibel>THRESHOLD_DB:
                
                print("偵測到聲音，開始錄音...")
                booRecording=True
                oaAudioData=[]
                oaAudioData.append(oAudioData)
                iTotalSamples=oAudioData.shape[0]
                
            elif booRecording==True:

                oaAudioData.append(oAudioData)
                iTotalSamples=iTotalSamples+oAudioData.shape[0]
                fSeconds=iTotalSamples/RATE
                
                if fSilenceStart is None:
                    fSilenceStart=time.time() # 開始計算靜音時間
                elif ((time.time()-fSilenceStart)>=SILENCE_DURATION) or (fSeconds>CUT_DURATION):
                    
                    if fSeconds<DROP_DURATION:
                        print("不足"+str(DROP_DURATION)+"秒，不予儲存")
                    else:
                        
                        if fSeconds>CUT_DURATION:
                            print("超過"+str(CUT_DURATION)+"秒，截斷錄音。("+str(fSeconds)+")")
                        else:
                            print("偵測到靜音，停止錄音。("+str(fSeconds)+")")
                        
                        if iCount<iMax:
                            
                            oTotalAudioData=np.concatenate(oaAudioData)
                            
                            # 寫入 wav 到記憶體
                            oWaveBuffer=io.BytesIO()
                            soundfile.write(oWaveBuffer, oTotalAudioData, RATE, format="wav")
                            oWaveBuffer.seek(0)
                            
                            # 壓縮成 Opus 存入記憶體
                            oOpusBuffer=io.BytesIO()
                            oProcess=subprocess.Popen(
                              ['ffmpeg', '-i', 'pipe:0', '-c:a', 'libopus', '-b:a', '32k', '-f', 'ogg', 'pipe:1'],
                              stdin=subprocess.PIPE,
                              stdout=subprocess.PIPE,
                              stderr=subprocess.DEVNULL
                            )
                            oOpusData,_=oProcess.communicate(input=oWaveBuffer.read())
                            oOpusBuffer.write(oOpusData)
                            oOpusBuffer.seek(0)
                            
                            strFilename=getStrAduioFilename(iIndexWrite)
                            print(f"正在儲存錄音檔案:{strFilename}")
                            with open(strFilename, "wb") as oF:
                              oF.write(oOpusBuffer.getvalue())
                            print("錄音儲存完成！")
                            
                            oWaveBuffer.close()
                            oOpusBuffer.close()
                            
                            iIndexWrite=(iIndexWrite+1) % iMax
                            iCount=iCount+1
                        else:
                            print("空間不足，不予儲存")
                    
                    booRecording=False
                    oaAudioData=[]
                    iTotalSamples=0
                    fSilenceStart=None
            
    except KeyboardInterrupt:
        booStop=True
        print("手動結束聆聽")
    
    # 停止並關閉音訊流
    oStream.stop_stream()
    oStream.close()
    oAudio.terminate()

def threadB():
    
    global iIndexWrite, iIndexRead, iCount, iMax, booStop
    
    strDevice="cuda" if torch.cuda.is_available() else "cpu"
    booCuda=True if strDevice=="cuda" else False
    oModel=whisper.load_model("tiny").to(strDevice) # tiny, base, small, medium, large
    oCC=OpenCC('s2t')  # 's2t' 表示簡體轉繁體
    
    print("使用裝置："+strDevice)
    
    while booStop==False:
        
        if iCount>0:
            
            strFilename=getStrAduioFilename(iIndexRead)
            oResult=oModel.transcribe(strFilename, language="zh", fp16=booCuda) # 假如有cuda支援，用fp16=True會更快
            strTraditionalText=oCC.convert(oResult["text"])
            print("------")
            print("辨識 "+strFilename+" 結果:"+strTraditionalText)
            print("------")
            
            iIndexRead=(iIndexRead+1) % iMax
            iCount=iCount-1
            
            if strTraditionalText.find("再見")!=-1:
                print('Goodbye!')
                booStop=True
        
        time.sleep(0.1)
        

# 創建兩個執行緒
oThreadA=threading.Thread(target=threadA)
oThreadB=threading.Thread(target=threadB)

# 啟動執行緒
oThreadA.start()
oThreadB.start()

# 讓主執行緒保持運行
oThreadA.join()
oThreadB.join()

print('兩個執行緒都停下來了')