
Recherche avancée
Autres articles (79)
-
Selection of projects using MediaSPIP
2 mai 2011, parThe examples below are representative elements of MediaSPIP specific uses for specific projects.
MediaSPIP farm @ Infini
The non profit organizationInfini develops hospitality activities, internet access point, training, realizing innovative projects in the field of information and communication technologies and Communication, and hosting of websites. It plays a unique and prominent role in the Brest (France) area, at the national level, among the half-dozen such association. Its members (...) -
Sélection de projets utilisant MediaSPIP
29 avril 2011, parLes exemples cités ci-dessous sont des éléments représentatifs d’usages spécifiques de MediaSPIP pour certains projets.
Vous pensez avoir un site "remarquable" réalisé avec MediaSPIP ? Faites le nous savoir ici.
Ferme MediaSPIP @ Infini
L’Association Infini développe des activités d’accueil, de point d’accès internet, de formation, de conduite de projets innovants dans le domaine des Technologies de l’Information et de la Communication, et l’hébergement de sites. Elle joue en la matière un rôle unique (...) -
Personnaliser en ajoutant son logo, sa bannière ou son image de fond
5 septembre 2013, parCertains thèmes prennent en compte trois éléments de personnalisation : l’ajout d’un logo ; l’ajout d’une bannière l’ajout d’une image de fond ;
Sur d’autres sites (6652)
-
Revision 31020 : max = 255, ça bloquait la création de la table sur certaine base
20 août 2009, par vincent@… — Logmax = 255, ça bloquait la création de la table sur certaine base
-
Revision 29963 : Passage en version 0.3 avec au menu : - Une vérification CFG pour le ...
19 juillet 2009, par kent1@… — LogPassage en version 0.3 avec au menu :
Une vérification CFG pour le token d’identification et l’url du serveur, montre une erreur dans le cas où l’on a mal configuré et empêche d’aller plus loin
l’utilisation du token d’identification du serveur Piwik pour récupérer la liste des sites que l’on a déjà créé.
la possibilité de créer un nouveau site sur le serveur Piwik s’il n’existe pas encore en utilisant les metas ’adresse_site’ et ’nom_site’
On nécessite spip-bonux malheureusement
-
Queue in Python processing more than one video at a time ? [closed]
12 novembre 2024, par Mateus CoelhoI 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()