Recherche avancée

Sur d’autres sites (8198)

• Pydub FFMPEG issue [closed]

  14 janvier, par Nikolai van den Hoven

  I am attempting to use FFMPEG with Pydub to create a program that chops .mp3 files into different words, each contained in their own .mp3 file, but when I run the script I am getting the following error :

  


  PS C:\Users\nik> & C:/Users/nik/AppData/Local/Microsoft/WindowsApps/python3.12.exe "d:/Python/Word Splitter.py"
C:\Users\nik\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.12_qbz5n2kfra8p0\LocalCache\local-packages\Python312\site-packages\pydub\utils.py:170: RuntimeWarning: Couldn't find ffmpeg or avconv - defaulting to ffmpeg, but may not work
  warn("Couldn't find ffmpeg or avconv - defaulting to ffmpeg, but may not work", RuntimeWarning)


  


  This is the code I am using.

  


  import os
from pydub import AudioSegment
from pydub.silence import split_on_silence
import speech_recognition as sr
AudioSegment.ffmpeg = r"D:\Python\ffmpeg\bin\ffmpeg.exe"
def mp3_to_words(mp3_file, output_folder):
    # Ensure output folder exists
    os.makedirs(output_folder, exist_ok=True)

    # Load MP3 file
    print("Loading audio file...")
    audio = AudioSegment.from_mp3(mp3_file)

    # Split audio into chunks using silence detection
    print("Splitting audio into chunks...")
    chunks = split_on_silence(
        audio,
        min_silence_len=200,  # Minimum silence duration in ms to consider as a split point
        silence_thresh=audio.dBFS - 14,  # Silence threshold relative to average loudness
        keep_silence=100  # Retain some silence in chunks
    )

    recognizer = sr.Recognizer()

    for i, chunk in enumerate(chunks):
        print(f"Processing chunk {i + 1}/{len(chunks)}...")

        # Save the chunk temporarily
        temp_file = os.path.join(output_folder, f"chunk_{i}.wav")
        chunk.export(temp_file, format="wav")

        # Recognize words in the chunk
        with sr.AudioFile(temp_file) as source:
            audio_data = recognizer.record(source)
            try:
                text = recognizer.recognize_google(audio_data)
                words = text.split()

                # Export each word as its own MP3
                word_start = 0
                for j, word in enumerate(words):
                    word_duration = len(chunk) // len(words)  # Approximate duration per word
                    word_audio = chunk[word_start:word_start + word_duration]
                    word_file = os.path.join(output_folder, f"word_{i}_{j}.mp3")
                    word_audio.export(word_file, format="mp3")
                    word_start += word_duration

            except sr.UnknownValueError:
                print(f"Could not understand chunk {i + 1}.")
            except sr.RequestError as e:
                print(f"Could not request results; {e}")

        # Clean up temporary file
        os.remove(temp_file)

    print(f"Processed {len(chunks)} chunks. Word MP3s saved in {output_folder}.")

if __name__ == "__main__":
    input_file = input("Enter the path to the MP3 file: ").strip()
    output_dir = input("Enter the output folder path: ").strip()

    mp3_to_words(input_file, output_dir)


  


  I have added the Base FFMPEG folder and the bin folder within it to Windows PATH
My PATH variable on Windows 11,
But it does not show up in the variable when I typed PATH into cmd

  


• ffmpeg is making my audio and video frozen and I don't know why

  17 avril 2024, par Sdpro

  I'm using bunjs runtime to execute ffmpeg as terminal code but I don't know if my code is typescript code is wrong or ffmpeg is wrong
and I'm using json file to get the clips correctly

  


      let videos = 0;
    let stepsTrim = "";
    let concatInputs = "";

    for (let i = 0; i < 40; i++) {
        if (unwantedWords[i].keepORdelete === true) {
            stepsTrim += `[0:v]trim=0:${
                unwantedWords[i].start
            },setpts=PTS[v${i}];[0:a]atrim=0:${
                unwantedWords[i].start
            },asetpts=PTS-STARTPTS[a${i}];[0:v]trim=${unwantedWords[i].start}:${
                unwantedWords[i].end
            },setpts=PTS[v${unwantedWords.length + i + 1}];[0:a]atrim=${
                unwantedWords[i].start
            }:${unwantedWords[i].end},asetpts=PTS-STARTPTS[a${
                unwantedWords.length + i + 1
            }];`;

            concatInputs += `[v${i}][a${i}][v${unwantedWords.length + i + 1}][a${
                unwantedWords.length + i + 1
            }]`;
            videos += 2; 
        }
    }

    stepsTrim = stepsTrim.slice(0, -1);

    await $`ffmpeg -hide_banner -i ${videoRequirements.output} -filter_complex "${stepsTrim},${concatInputs} concat=n=${videos}:v=1:a=1[outv][outa]" -map "[outv]" -map "[outa]" -c:v libopenh264 -preset slow -c:a mp3 -vsync 1 -y ${removedUnwantedWords}/fastAf.mp4`;


  


  at the end after everything was done :

  


  warning
[vost#0:0/libopenh264 @ 0x558f80ea1dc0] More than 1000 frames duplicated.9kbits/s dup=110 drop=1 speed=0.831x    
[out_0_0 @ 0x558f8100a880] 100 buffers queued in out_0_0, something may be wrong. dup=1064 drop=1 speed=1.43x    
[out_0_1 @ 0x558f8100af80] 100 buffers queued in out_0_1, something may be wrong.
[out_0_1 @ 0x558f8100af80] 1000 buffers queued in out_0_1, something may be wrong.
I can't figure out why ffmpeg is sometimes making the audio + video work and sometimes not
[enter image description here](https://i.stack.imgur.com/PicaA.png)


  


  [
  {
    "word": "Hello",
    "id": 0,
    "keepORdelete": false,
    "start": 0,
    "end": 9.06
  },
  {
    "word": "guys,",
    "id": 1,
    "keepORdelete": false,
    "start": 9.06,
    "end": 10.2
  },
  {
    "word": "there",
    "id": 2,
    "keepORdelete": false,
    "start": 11.76,
    "end": 12.06
  },
...


  


  I have tried commands from many types of ffmpeg commands changing the code and I can't seem to get the audio and video right

  


• Read part of every frame of a video file

  18 novembre 2012, par user1414470

  I'm doing some tracking on video files. First I separate frames using ffmpeg and the for each frame i apply a mask and then perform the tracking algorithm.

  To make this process faster I'm thinking about reading only the parts I need. like reading the part that I apply the mask or better than that reading boxes around the previous positions of objects. So I'm looking for a way to decode and read a specific part of a specific frame from a video file. Is there any way to do that ?