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• FFmpeg av_read_frame not reading frames properly ?

  16 juin 2019, par Sir DrinksCoffeeALot

  Alright, so I’ve downloaded some raw UHD sequences in .yuv format and encoded them with ffmpeg in .mp4 container (h264 4:4:4, 100% quality, 25fps). When i use ffprobe to find out how many frames are encoded i get 600, so that’s 24 secs of video.

  BUT, when i run those encoded video sequences through av_read_frame i only get like 40-50% of frames processed before av_read_frame returns error code -12. So I’m wild guessing that there are some data packages in middle of the streams which get read by av_read_frame and forces a function to return -12.

  What my questions are, how should i deal with this problem so i can encode full number of frames (600) ? When av_read_frame returns value different from 0 should i av_free_packet and proceed to read next frame ? Since av_read_frame returns values < 0 for error codes, which error code is used for EOF so i can insulate end of file code ?

• Revision 36980 : La bonne méta dans la base pour éviter le message "Echec" en 2.1 Une ...

  5 avril 2010, par kent1@… — Log

  La bonne méta dans la base pour éviter le message "Echec" en 2.1
  Une icone pour les boutons de récupération d’infos
  Certains codecs (libx264) nécessitent de pouvoir diviser la taille de la video par 2 ... on fait en sorte que cela passe

• 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()