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• Anomalie #4598 (Fermé) : PHP 8 : Resource vs GdImage object problem.

  4 novembre 2020

  GD ne retourne plus une "resource", mais une instance de GdImage.

  Ça fait planter une partie des filtres images dans SPIP.
  Notamment s’il y a des tests avec is_resource()

  Exemple :
  

  Warning : Trying to access array offset on value of type bool in [...]ecrire/inc/filtres_images_lib_mini.php on line 1607 à 1610
  Qui provient de grosso modo :
  
  [(#CHEMINun_fichier.png|image_applatirico)]
  

  Docs¶

  - https://php.watch/versions/8.0/gdimage
  - La correction chez WP : https://core.trac.wordpress.org/ticket/50833

  Avec la solution proposée :

  Note that in PHP 7.2 and older, instanceOf operator requires an object. If you need to make your code function across PHP versions older than 7.3 through PHP 8.0, you will need an additional is_object() check :

  - if (is_resource($image))
  + if (is_resource($image) || (is_object($image) && $image instanceOf \GdImage))

• 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()



  


• Audiopulse record multiple xfbv screens with python

  7 octobre 2020, par Eric Lagarda

  I’m trying to do something complicated and I need some help.

  


  I’m able to record a session (video and audio) with python using xvfb and ffmpeg.

  


  I just want to visit a page using selenium and record the video and audio. It’s working but when I try to run multiple instances, the audio is mixing between records.

  


  How can achieve that ? I’m using pulseaudio. I know that with also you can set like a interface per instance, but I don’t know how to do it.

  


  Thanks for you support and comments.