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Personnaliser en ajoutant son logo, sa bannière ou son image de fond
5 September 2013, byCertains 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;
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Ecrire une actualité
21 June 2013, byPrésentez les changements dans votre MédiaSPIP ou les actualités de vos projets sur votre MédiaSPIP grâce à la rubrique actualités.
Dans le thème par défaut spipeo de MédiaSPIP, les actualités sont affichées en bas de la page principale sous les éditoriaux.
Vous pouvez personnaliser le formulaire de création d’une actualité.
Formulaire de création d’une actualité Dans le cas d’un document de type actualité, les champs proposés par défaut sont : Date de publication ( personnaliser la date de publication ) (...) -
Publier sur MédiaSpip
13 June 2013Puis-je poster des contenus à partir d’une tablette Ipad ?
Oui, si votre Médiaspip installé est à la version 0.2 ou supérieure. Contacter au besoin l’administrateur de votre MédiaSpip pour le savoir
On other websites (11427)
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How do i install ffmpeg to my heroku hosted bot
20 April 2021, by Alcatraz b312I am making a discord.py bot , so I installed FFMPEG on my PC and I also did it on the Heroku , but when I am giving the command of the song , its not playing . The Heroku is unable to find the Build pack I guess , what should I do ?
I downloaded this FFMPEG on the Heroku:
https://github.com/jonathanong/heroku-buildpack-ffmpeg-latest.git


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How to split a mp4 file into multiple .m4s chunks with one init.mp4 file
29 November 2018, by JAVA CoderI am trying to split one audio.mp4 into multiple chunks(each of 10 seconds) with file format of .m4s or .mpd and one init.mp4 .
1>I have successfully made chunks of 10 secs with one m3u8 file by this command-
ffmpeg -i song.mp3 -c:a aac -b:a 64k -vn -hls_time 10 -hls_list_size 0 abc.m3u8
2>Tried this command also
MP4Box -dash 10000 -frag 1000 -rap -segment-name myDash -subsegs-per-sidx 5 -url-template test.mp4
But not able to make .m4s chunks with one init.mp4.
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FFMPEG eating up ram in railway deployment [flask app]
23 June 2024, by Eshan DasI created a flask app , meme generator, hosting it in railway using gunicorn, i am suspecting ffmpeg is eating the most ram.....
so what i am doing is , generating a tts, and a text adding into one of the parts of the video , and then finally combining all together


from flask import Flask, request, jsonify, send_file, url_for
from moviepy.editor import VideoFileClip, ImageClip, CompositeVideoClip, AudioFileClip, concatenate_videoclips
from pydub import AudioSegment
from PIL import Image, ImageDraw, ImageFont
from gtts import gTTS
from flask_cors import CORS
import os

app = Flask(__name__)
CORS(app)
app.config['UPLOAD_FOLDER'] = 'uploads'

def generate_video(name, profile_image_path, song_path, start_time):
 first_video = VideoFileClip("first.mp4")
 second_video = VideoFileClip("second.mp4")
 third_video = VideoFileClip("third.mp4")

 #font_path = os.path.join("fonts", "arial.ttf") # Updated font path
 font_size = 70
 font = ImageFont.load_default()
 text = name
 image_size = (second_video.w, second_video.h)
 text_image = Image.new('RGBA', image_size, (0, 0, 0, 0))
 draw = ImageDraw.Draw(text_image)
 text_width, text_height = draw.textsize(text, font=font)
 text_position = ((image_size[0] - text_width) // 2, (image_size[1] - text_height) // 2)
 draw.text(text_position, text, font=font, fill="black")

 text_image_path = os.path.join(app.config['UPLOAD_FOLDER'], f"text_{name}.png")
 text_image.save(text_image_path)

 txt_clip = ImageClip(text_image_path, duration=second_video.duration)

 tts = gTTS(text=name, lang='en')
 audio_path = os.path.join(app.config['UPLOAD_FOLDER'], f"audio_{name}.wav")
 tts.save(audio_path)

 sound = AudioSegment.from_file(audio_path)
 chipmunk_sound = sound._spawn(sound.raw_data, overrides={
 "frame_rate": int(sound.frame_rate * 1.5)
 }).set_frame_rate(sound.frame_rate)

 chipmunk_audio_path = os.path.join(app.config['UPLOAD_FOLDER'], f"chipmunk_audio_{name}.wav")
 chipmunk_sound.export(chipmunk_audio_path, format="wav")

 audio_clip_second = AudioFileClip(chipmunk_audio_path)

 second_video = CompositeVideoClip([second_video, txt_clip.set_position((45, 170))])
 second_video = second_video.set_audio(audio_clip_second)

 song = AudioSegment.from_file(song_path)
 start_ms = start_time * 1000
 cropped_song = song[start_ms:start_ms + 20000]

 chipmunk_song = cropped_song._spawn(cropped_song.raw_data, overrides={
 "frame_rate": int(cropped_song.frame_rate * 1.5)
 }).set_frame_rate(cropped_song.frame_rate)

 chipmunk_song_path = os.path.join(app.config['UPLOAD_FOLDER'], f"chipmunk_song_{name}.wav")
 chipmunk_song.export(chipmunk_song_path, format="wav")

 audio_clip_third = AudioFileClip(chipmunk_song_path)
 third_video = third_video.set_audio(audio_clip_third)

 profile_image = ImageClip(profile_image_path).set_duration(first_video.duration).resize(height=first_video.h / 8).set_position((950, 500))
 first_video = CompositeVideoClip([first_video, profile_image])
 
 profile_image = ImageClip(profile_image_path).set_duration(second_video.duration).resize(height=second_video.h / 8).set_position((950, 500))
 second_video = CompositeVideoClip([second_video, profile_image])
 
 profile_image = ImageClip(profile_image_path).set_duration(third_video.duration).resize(height=third_video.h / 8).set_position((950, 500))
 third_video = CompositeVideoClip([third_video, profile_image])

 final_video = concatenate_videoclips([first_video, second_video, third_video])
 final_video = final_video.subclip(0, 10)

 output_path = os.path.join(app.config['UPLOAD_FOLDER'], f"output_{name}.mp4")
 final_video.write_videofile(output_path, codec="libx264", audio_codec='aac')

 final_video.close()
 first_video.close()
 second_video.close()
 third_video.close()
 audio_clip_second.close()
 audio_clip_third.close()

 os.remove(audio_path)
 os.remove(text_image_path)
 os.remove(chipmunk_song_path)
 os.remove(chipmunk_audio_path)
 
 return output_path

@app.route('/generate', methods=['POST'])
async def generate():
 if not os.path.exists(app.config['UPLOAD_FOLDER']):
 os.makedirs(app.config['UPLOAD_FOLDER'])

 name = request.form['name']
 start_time = float(request.form['start_time'])

 profile_image = request.files['profile_image']
 profile_image_path = os.path.join(app.config['UPLOAD_FOLDER'], profile_image.filename)
 profile_image.save(profile_image_path)

 song = request.files['song']
 song_path = os.path.join(app.config['UPLOAD_FOLDER'], song.filename)
 song.save(song_path)

 video_path = generate_video(name, profile_image_path, song_path, start_time)
 return jsonify({"video_url": url_for('uploaded_file', filename=os.path.basename(video_path))})

@app.route('/uploads/<filename>')
def uploaded_file(filename):
 path = os.path.join(app.config['UPLOAD_FOLDER'], filename)
 return send_file(path, as_attachment=True)

if __name__ == "__main__":
 if not os.path.exists(app.config['UPLOAD_FOLDER']):
 os.makedirs(app.config['UPLOAD_FOLDER'])
 app.run(host='0.0.0.0', port=5000)
</filename>

I am trying to solve this issue, any way to optimize my code , or any other alternative of ffmpeg which i can use , to reduce the ram consumption


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