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Rennes Emotion Map 2010-11
19 octobre 2011, par
Mis à jour : Juillet 2013
Langue : français
Type : Texte
Autres articles (72)
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MediaSPIP version 0.1 Beta
16 avril 2011, parMediaSPIP 0.1 beta est la première version de MediaSPIP décrétée comme "utilisable".
Le fichier zip ici présent contient uniquement les sources de MediaSPIP en version standalone.
Pour avoir une installation fonctionnelle, il est nécessaire d’installer manuellement l’ensemble des dépendances logicielles sur le serveur.
Si vous souhaitez utiliser cette archive pour une installation en mode ferme, il vous faudra également procéder à d’autres modifications (...) -
MediaSPIP 0.1 Beta version
25 avril 2011, parMediaSPIP 0.1 beta is the first version of MediaSPIP proclaimed as "usable".
The zip file provided here only contains the sources of MediaSPIP in its standalone version.
To get a working installation, you must manually install all-software dependencies on the server.
If you want to use this archive for an installation in "farm mode", you will also need to proceed to other manual (...) -
Mise à jour de la version 0.1 vers 0.2
24 juin 2013, parExplications des différents changements notables lors du passage de la version 0.1 de MediaSPIP à la version 0.3. Quelles sont les nouveautés
Au niveau des dépendances logicielles Utilisation des dernières versions de FFMpeg (>= v1.2.1) ; Installation des dépendances pour Smush ; Installation de MediaInfo et FFprobe pour la récupération des métadonnées ; On n’utilise plus ffmpeg2theora ; On n’installe plus flvtool2 au profit de flvtool++ ; On n’installe plus ffmpeg-php qui n’est plus maintenu au (...)
Sur d’autres sites (11508)
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python [WinError 2] the System Cannot Find the File Specified
15 août 2024, par user26831166Code cant create a certain file
The thing is code isn't mine a took it from a friend and my friend get it from another person
and this 2 person can run code without any problem
but i have.


import os
import random
import shutil
import subprocess

# Путь к папке с видео
video_folder = r'D:\bots\ttvidads\VID\Videorez'

# Путь к папке для сохранения результатов
output_folder = r'D:\bots\ttvidads\VID\ZAGOTOVKI\Videopod1'

# Очищаем содержимое конечной папки перед сохранением
for file in os.listdir(output_folder):
 file_path = os.path.join(output_folder, file)
 try:
 if os.path.isfile(file_path):
 os.unlink(file_path)
 except Exception as e:
 print(f"Failed to delete {file_path}. Reason: {e}")

# Получаем список видеофайлов
video_files = [os.path.join(video_folder, file) for file in os.listdir(video_folder) if file.endswith(('.mp4', '.avi'))]

# Выбираем случайное видео
random_video = random.choice(video_files)

# Получаем длительность видео в секундах
video_duration_command = f'ffprobe -v error -show_entries format=duration -of default=noprint_wrappers=1:nokey=1 "{random_video}"'
video_duration_process = subprocess.Popen(video_duration_command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True)
video_duration_output, _ = video_duration_process.communicate()
video_duration = float(video_duration_output)

# Выбираем случайное начальное время для вырезания
random_start = random.randrange(0, int(video_duration) - 19, 8)

# Получаем ширину и высоту исходного видео
video_info_command = f'ffprobe -v error -select_streams v:0 -show_entries stream=width,height -of csv=s=x:p=0 "{random_video}"'
video_info_process = subprocess.Popen(video_info_command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True)
video_info_output, _ = video_info_process.communicate()
video_width, video_height = map(int, video_info_output.strip().split(b'x'))

# Вычисляем новые координаты x1 и x2 для обрезки
max_x1 = video_width - int(video_height * 9 / 16)
random_x1 = random.randint(0, max_x1)
random_x2 = random_x1 + int(video_height * 9 / 16)

# Формируем команду для FFmpeg для выборки случайного отрезка видео с соотношением 9:16
ffmpeg_command = f'ffmpeg -hwaccel cuda -ss {random_start} -i "{random_video}" -t 19 -vf "crop={random_x2-random_x1}:{video_height}:{random_x1}:0" -c:v h264_nvenc -preset default -an -c:a aac -b:a 128k "{output_folder}\\temp.mp4"'

# Выполняем команду с помощью subprocess
subprocess.run(ffmpeg_command, shell=True)

# Изменяем яркость, контрастность и размываем видео
brightness_factor = random.uniform(-0.18, -0.12) # Случайный коэффициент яркости
contrast_factor = random.uniform(0.95, 1.05) # Случайный коэффициент контрастности
blur_factor = random.uniform(4, 5) # Случайный коэффициент размытия

# Формируем команду для FFmpeg для изменения яркости, контрастности и размытия видео
ffmpeg_modify_command = f'ffmpeg -hwaccel cuda -i "{output_folder}\\temp.mp4" -vf "eq=brightness={brightness_factor}:contrast={contrast_factor},boxblur={blur_factor}:{blur_factor}" -c:v h264_nvenc -preset default -an -c:a aac -b:a 128k "{output_folder}\\temp_modify.mp4"'

# Выполняем команду с помощью subprocess
subprocess.run(ffmpeg_modify_command, shell=True)

# Растягиваем видео до нужного разрешения (1080x1920)
ffmpeg_stretch_command = f'ffmpeg -hwaccel cuda -i "{output_folder}\\temp_modify.mp4" -vf "scale=1080:1920" -c:v h264_nvenc -preset default -an -c:a aac -b:a 128k -r 30 "{output_folder}\\final_output.mp4"'

# Выполняем команду с помощью subprocess
subprocess.run(ffmpeg_stretch_command, shell=True)

# Удаляем временные файлы
os.remove(os.path.join(output_folder, 'temp.mp4'))
os.remove(os.path.join(output_folder, 'temp_modify.mp4'))

print("Видеофайл успешно обработан и сохранен.")



Error i got after run the code


= RESTART: D:\Bots\2vidpod.py
Traceback (most recent call last):
 File "D:\Bots\2vidpod.py", line 71, in <module>
 os.remove(os.path.join(output_folder, 'temp.mp4'))
FileNotFoundError: [WinError 2] Не удается найти указанный файл: 'D:\\bots\\ttvidads\\VID\\ZAGOTOVKI\\Videopod1\\temp.mp4'
</module>


so things i checked is
path is right
programs is installed FFMPEG and PYTHON all additional libraries downloaded
i pretty sure error caused by regular path and i wanna know if absolute path can do the thing


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Is it possible to change a google cloud function from Ubuntu 22 (default image) to Ubuntu 18 ?
19 octobre 2023, par Asher AI created a google cloud function via the Firebase CLI. I wasn't initially aware of which runtime environment the function (2nd generation) I created would be running on, however, I noticed that it didn't have
ffmpeg
installed so I tried looking for the actual runtime env. I then encountered this : https://cloud.google.com/functions/docs/reference/system-packages#requesting_a_package and through additional searches understood that the default base image is now ubuntu 22 which doesn't haveffmpeg
-> so I tried checking if I could switch back to Ubuntu 18 (I haven't figured out how, or if it's possible at all). Is it possible to switch images or at least installing ffmpeg in the runtime I'm using ?

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Python Azure Function Blob trigger concurrency problem
22 août 2024, par Mihai PodaruI developed an OCR in python using pytesseract and cv2. It takes files for a blob container and extracts text from them. I deployed it to an Azure Function container. I used a container because I need system dependencies (poppler-utils tesseract-ocr ffmpeg libsm6 libxext6).


If I simulate the function locally using Azurite I am able to process multiple files at a time. But if I deploy it to Azure, if I upload 2 files at once, the CPU goes to 100% and blocks there. I figured there is a concurrency problem, because it runs well if I configure the host file like this


"extensions": {
 "blobs": {
 "maxDegreeOfParallelism": 1,
 ...
 }
}



Can I do something about it or are the libraries/dependencies not compatible with concurrency ?