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• Queue in Python processing more than one video at a time ? [closed]

  12 novembre 2024, par Mateus Coelho

  I have an raspberry pi, that i proccess videos, rotate and put 4 water marks, but, when i run into the raspberry pi, it uses 100% of 4CPUS threads and it reboots. I solved this using -threads 1, to prevent the usage of just one of the 4 CPUS cores, it worked.

  


  I made a Queue to procces one at a time, because i have 4 buttons that trigger the videos. But, when i send more then 3 videos to the Queue, the rasp still reboots, and im monitoring the CPU usage, is 100% for only one of the four CPUS


  


  But, if i send 4 or 5 videos to the thread folder, it completly reboots, and the most awkward, its after the reboot, it made its way to proceed all the videos.

  


  
import os
import time
import subprocess
from google.cloud import storage
import shutil

QUEUE_DIR = "/home/abidu/Desktop/ApertaiRemoteClone"
ERROR_VIDEOS_DIR = "/home/abidu/Desktop/ApertaiRemoteClone/ErrorVideos"
CREDENTIALS_PATH = "/home/abidu/Desktop/keys.json"
BUCKET_NAME = "videos-283812"

def is_valid_video(file_path):
    try:
        result = subprocess.run(
            ['ffprobe', '-v', 'error', '-show_entries', 'format=duration', '-of', 'default=noprint_wrappers=1:nokey=1', file_path],
            stdout=subprocess.PIPE,
            stderr=subprocess.PIPE
        )
        return result.returncode == 0
    except Exception as e:
        print(f"Erro ao verificar o vídeo: {e}")
        return False

def overlay_images_on_video(input_file, image_files, output_file, positions, image_size=(100, 100), opacity=0.7):
    inputs = ['-i', input_file]
    for image in image_files:
        if image:
            inputs += ['-i', image]
    filter_complex = "[0:v]transpose=2[rotated];"
    current_stream = "[rotated]"
    for i, (x_offset, y_offset) in enumerate(positions):
        filter_complex += f"[{i+1}:v]scale={image_size[0]}:{image_size[1]},format=rgba,colorchannelmixer=aa={opacity}[img{i}];"
        filter_complex += f"{current_stream}[img{i}]overlay={x_offset}:{y_offset}"
        if i < len(positions) - 1:
            filter_complex += f"[tmp{i}];"
            current_stream = f"[tmp{i}]"
        else:
            filter_complex += ""
    command = ['ffmpeg', '-y', '-threads', '1'] + inputs + ['-filter_complex', filter_complex, '-threads', '1', output_file]

    try:
        result = subprocess.run(command, check=True)
        result.check_returncode()  # Verifica se o comando foi executado com sucesso
        print(f"Vídeo processado com sucesso: {output_file}")
    except subprocess.CalledProcessError as e:
        print(f"Erro ao processar o vídeo: {e}")
        if "moov atom not found" in str(e):
            print("Vídeo corrompido ou sem o moov atom. Pulando o arquivo.")
        raise  # Relança a exceção para ser tratada no nível superior

def process_and_upload_video():
    client = storage.Client.from_service_account_json(CREDENTIALS_PATH)
    bucket = client.bucket(BUCKET_NAME)
    
    while True:
        # Aguarda 10 segundos antes de verificar novos vídeos
        time.sleep(10)

        # Verifica se há arquivos no diretório de fila
        queue_files = [f for f in os.listdir(QUEUE_DIR) if f.endswith(".mp4")]
        
        if queue_files:
            video_file = os.path.join(QUEUE_DIR, queue_files[0])  # Pega o primeiro vídeo na fila
            
            # Define o caminho de saída após o processamento com o mesmo nome do arquivo de entrada
            output_file = os.path.join(QUEUE_DIR, "processed_" + os.path.basename(video_file))
            if not is_valid_video(video_file):
                print(f"Arquivo de vídeo inválido ou corrompido: {video_file}. Pulando.")
                os.remove(video_file)  # Remove arquivo corrompido
                continue

            # Processa o vídeo com a função overlay_images_on_video
            try:
                overlay_images_on_video(
                    video_file,
                    ["/home/abidu/Desktop/ApertaiRemoteClone/Sponsor/image1.png", 
                     "/home/abidu/Desktop/ApertaiRemoteClone/Sponsor/image2.png", 
                     "/home/abidu/Desktop/ApertaiRemoteClone/Sponsor/image3.png", 
                     "/home/abidu/Desktop/ApertaiRemoteClone/Sponsor/image4.png"],
                    output_file,
                    [(10, 10), (35, 1630), (800, 1630), (790, 15)],
                    image_size=(250, 250),
                    opacity=0.8
                )
                
                if os.path.exists(output_file):
                    blob = bucket.blob(os.path.basename(video_file).replace("-", "/"))
                    blob.upload_from_filename(output_file, content_type='application/octet-stream')
                    print(f"Uploaded {output_file} to {BUCKET_NAME}")
                    os.remove(video_file)
                    os.remove(output_file)
                    print(f"Processed and deleted {video_file} and {output_file}.")
            
            except subprocess.CalledProcessError as e:
                print(f"Erro ao processar {video_file}: {e}")
                
                move_error_video_to_error_directory(video_file)

                continue  # Move para o próximo vídeo na fila após erro

def move_error_video_to_error_directory(video_file):
    print(f"Movendo arquivo de vídeo com erro {video_file} para {ERROR_VIDEOS_DIR}")

    if not os.path.exists(ERROR_VIDEOS_DIR):
        os.makedirs(ERROR_VIDEOS_DIR)
                
    shutil.move(video_file, ERROR_VIDEOS_DIR)

if __name__ == "__main__":
    process_and_upload_video()



  


• RTSP to HLS conversion with error on some devices

  2 septembre 2024, par Wallace Ketler

  I'm trying to convert, on a node server, RTSP IP camera devices to HLS to run livestreams on the web. The following code works well for some RTSP devices, but for others I encounter problems.

  


     function startLive(rtspUrl, outputDir, id_local, id_camera) {
        return new Promise((resolve, reject) => {
            const processKey = `${id_local}_${id_camera}`;
            if (ffmpegProcesses[processKey]) {
                return reject(new Error('Conversão já está em andamento para esta câmera'));
            }
        
            const process = ffmpeg(rtspUrl)
                .inputOptions([
                    '-rtsp_transport', 'tcp',
                    '-fflags', 'nobuffer',
                    '-max_delay', '1000000',
                    '-analyzeduration', '1000000',
                    '-probesize', '1000000',
                    '-flush_packets', '1',
                    '-avioflags', 'direct'
                ])
                .outputOptions([
                    '-c:v', 'libx264',
                    '-preset', 'ultrafast',
                    '-tune', 'zerolatency',
                    '-c:a', 'aac',
                    '-hls_time', '10',
                    '-hls_flags', 'delete_segments',
                    '-hls_list_size', '5',
                    '-hls_wrap', '5',
                    '-strict', '-2'
                ])
                .output(path.join(outputDir, 'stream.m3u8'))
                .on('start', (commandLine) => {
                    console.log('Spawned FFmpeg with command: ' + commandLine);
                })
                .on('stderr', (stderrLine) => {
                    console.log('FFmpeg stderr: ' + stderrLine);
                })
                .on('end', () => {
                    console.log('Conversão concluída');
                    delete ffmpegProcesses[processKey]; 
                    resolve();
                })
                .on('error', (err, stdout, stderr) => {
                    console.error('Erro na conversão', err);
                    console.error('FFmpeg stdout:', stdout);
                    console.error('FFmpeg stderr:', stderr);
                    delete ffmpegProcesses[processKey]; 
                    reject(err);
                })
                .run();
    
            ffmpegProcesses[processKey] = process; 
        });
    }


  


  When the conversion succeeds, it continues indefinitely with the logs :

  


  FFmpeg stderr: frame=   61 fps= 48 q=13.0 size=N/A time=00:00:02.03 bitrate=N/A dup=60 drop=0 speed= 1.6x    
FFmpeg stderr: frame=   75 fps= 42 q=17.0 size=N/A time=00:00:02.52 bitrate=N/A dup=62 drop=0 speed=1.41x    
FFmpeg stderr: frame=   91 fps= 39 q=16.0 size=N/A time=00:00:03.04 bitrate=N/A dup=65 drop=0 speed=1.31x    
FFmpeg stderr: frame=  108 fps= 38 q=15.0 size=N/A time=00:00:03.60 bitrate=N/A dup=68 drop=0 speed=1.27x    
FFmpeg stderr: frame=  121 fps= 36 q=24.0 size=N/A time=00:00:04.03 bitrate=N/A dup=70 drop=0 speed=1.21x    
FFmpeg stderr: frame=  138 fps= 36 q=16.0 size=N/A time=00:00:04.60 bitrate=N/A dup=73 drop=0 speed= 1.2x    
FFmpeg stderr: frame=  152 fps= 35 q=17.0 size=N/A time=00:00:05.08 bitrate=N/A dup=75 drop=0 speed=1.17x    
FFmpeg stderr: frame=  168 fps= 35 q=16.0 size=N/A time=00:00:05.60 bitrate=N/A dup=78 drop=0 speed=1.15x    
FFmpeg stderr: frame=  183 fps= 34 q=21.0 size=N/A time=00:00:06.11 bitrate=N/A dup=80 drop=0 speed=1.13x    
FFmpeg stderr: frame=  198 fps= 34 q=16.0 size=N/A time=00:00:06.60 bitrate=N/A dup=83 drop=0 speed=1.12x    
FFmpeg stderr: frame=  215 fps= 33 q=16.0 size=N/A time=00:00:07.16 bitrate=N/A dup=86 drop=0 speed=1.11x    
FFmpeg stderr: frame=  230 fps= 33 q=16.0 size=N/A time=00:00:07.66 bitrate=N/A dup=88 drop=0 speed= 1.1x    
FFmpeg stderr: frame=  246 fps= 33 q=19.0 size=N/A time=00:00:08.20 bitrate=N/A dup=91 drop=0 speed= 1.1x    


  


  And with the segments saved in the folder configured as output. But for certain devices, after creating the stream.m3u8 file and saving the first segment, the conversion is considered finished and falls into .on('end') . The error log is as follows :

  


  FFmpeg stderr: frame=    0 fps=0.0 q=0.0 size=N/A time=00:00:01.12 bitrate=N/A speed=2.08x    
FFmpeg stderr: [hls @ 0x55e00dfc4380] Opening 'my_path/stream0.ts' for writing
FFmpeg stderr: [hls @ 0x55e00dfc4380] Opening 'my_path/stream.m3u8.tmp' for writing
FFmpeg stderr: frame=    0 fps=0.0 q=0.0 Lsize=N/A time=00:00:01.37 bitrate=N/A speed= 2.5x    
FFmpeg stderr: video:0kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: unknown
FFmpeg stderr: [aac @ 0x55e00dfff840] Qavg: 65536.000
FFmpeg stderr: 
Conversão concluída


  


  The muxing overhead: unknown only appears when the error occurs and the conversion is complete.

  


  I've already tried changing the video and audio encoders, as well as the various input and output parameters of the conversion. I also tried updating ffmpeg (it's already on the latest version, using fluent-ffmpeg, "fluent-ffmpeg": "^2.1.3",)

  


  I would like to understand why this happens on some devices and how to fix it. Thanks.

  


• Remove audio from specific audio track

  9 août 2024, par Ronaldo Júdice

  I have this code, and i would like to remove audio from tracks 5 and 6. I had tried everything but is not working, I can mute the audio tracks but on edition program i can see the waves, can you help me ?

  


  if (conv.format === 'mxf') {
        // Add 8 audio tracks
        ffmpeg(inputFile)
            .audioCodec('pcm_s16le') // Codec de áudio para MXF
            .outputOptions([
                '-c:v mpeg2video', // Codec de vídeo para MXF
                '-q:v 2', // Qa  vídeo
                '-map 0:v:0', 
                '-map 0:a:0', 
                '-map 0:a:0',
                '-map 0:a:0', 
                '-map 0:a:0', 
                '-map 0:a:0', // this track i want to remove the audio but keep the track
                '-map 0:a:0', //this track i want to remove the audio but keep the track
                '-map 0:a:0', 
                '-map 0:a:0', 
                '-disposition:a:0 default' // Marcar trilha 1 como padrão
            ])
            .save(outputFile)
            .on('start', commandLine => console.log(`FFmpeg comando iniciado: ${commandLine}`))
            .on('progress', progress => console.log(`Progresso: ${progress.percent}%`))
            .on('end', () => console.log(`Conversão concluída: ${outputFile}`))
            .on('error', err => console.error(`Erro na conversão de ${inputFile} para ${outputFile}: ${err.message}`));
    } else {
        // Outras conversões
        ffmpeg(inputFile)
            .outputOptions(conv.options)
            .save(outputFile)
            .on('start', commandLine => console.log(`FFmpeg comando iniciado: ${commandLine}`))
            .on('progress', progress => console.log(`Progresso: ${progress.percent}%`))
            .on('end', () => console.log(`Conversão concluída: ${outputFile}`))
            .on('error', err => console.error(`Erro na conversão de ${inputFile} para ${outputFile}: ${err.message}`));
    }


  


  I tried to use ffmpeg comands to remove audio from track.