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Autres articles (67)
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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 ;
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Les tâches Cron régulières de la ferme
1er décembre 2010, parLa gestion de la ferme passe par l’exécution à intervalle régulier de plusieurs tâches répétitives dites Cron.
Le super Cron (gestion_mutu_super_cron)
Cette tâche, planifiée chaque minute, a pour simple effet d’appeler le Cron de l’ensemble des instances de la mutualisation régulièrement. Couplée avec un Cron système sur le site central de la mutualisation, cela permet de simplement générer des visites régulières sur les différents sites et éviter que les tâches des sites peu visités soient trop (...) -
Les autorisations surchargées par les plugins
27 avril 2010, parMediaspip core
autoriser_auteur_modifier() afin que les visiteurs soient capables de modifier leurs informations sur la page d’auteurs
Sur d’autres sites (10189)
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dnn/native : add native support for divide
11 avril 2020, par Guo, Yejundnn/native : add native support for divide
it can be tested with model file generated with below python script :
import tensorflow as tf
import numpy as np
import imageioin_img = imageio.imread('input.jpg')
in_img = in_img.astype(np.float32)/255.0
in_data = in_img[np.newaxis, :]x = tf.placeholder(tf.float32, shape=[1, None, None, 3], name='dnn_in')
z1 = 2 / x
z2 = 1 / z1
z3 = z2 / 0.25 + 0.3
z4 = z3 - x * 1.5 - 0.3
y = tf.identity(z4, name='dnn_out')sess=tf.Session()
sess.run(tf.global_variables_initializer())graph_def = tf.graph_util.convert_variables_to_constants(sess, sess.graph_def, ['dnn_out'])
tf.train.write_graph(graph_def, '.', 'image_process.pb', as_text=False)print("image_process.pb generated, please use \
path_to_ffmpeg/tools/python/convert.py to generate image_process.model\n")output = sess.run(y, feed_dict=x : in_data)
imageio.imsave("out.jpg", np.squeeze(output))Signed-off-by : Guo, Yejun <yejun.guo@intel.com>
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How to create a spectrogram image from an audio file in Python just like how FFMPEG does ?
2 mai 2020, par hamandishe MkMy code :



import matplotlib.pyplot as plt
from matplotlib.pyplot import specgram
import librosa
import librosa.display
import numpy as np
import io
from PIL import Image

samples, sample_rate = librosa.load('thabo.wav')
fig = plt.figure(figsize=[4, 4])
ax = fig.add_subplot(111)
ax.axes.get_xaxis().set_visible(False)
ax.axes.get_yaxis().set_visible(False)
ax.set_frame_on(False)
S = librosa.feature.melspectrogram(y=samples, sr=sample_rate)
librosa.display.specshow(librosa.power_to_db(S, ref=np.max))
buf = io.BytesIO()
plt.savefig(buf, bbox_inches='tight',pad_inches=0)

# plt.close('all')
buf.seek(0)
im = Image.open(buf)
# im = Image.open(buf).convert('L')
im.show()
buf.close()



Spectrogram produced






Using FFMPEG



ffmpeg -i thabo.wav -lavfi showspectrumpic=s=224x224:mode=separate:legend=disabled spectrogram.png



Spectrogram produced






Please help, i want a spectrogram that is exactly the same as the one produced by FFMPEG, for use with a speech recognition model exported from google's teachable machine.
Offline recognition


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【carrierwave+ffmpeg】can't upload the video with sound
10 avril 2020, par ken akitaI want to make "Fake Instagram" Rails application.
then I made the uploader and I can upload the video(mp4), but no sound.
I can listen to the sound on my desktop but can't on my application, like this image, speakers not working.
enter image description here



Code is here. I guess something wrong with image_uploader.rb or show.html.erb.
Note that first I made the ImageUploader to upload image, then I want to add video posting system to upload video. Both uploading done, but video without sound.
Really thank you for your advise !



*image_uploader.rb
require 'streamio-ffmpeg'

class ImageUploader < CarrierWave::Uploader::Base
 include CarrierWave::MiniMagick
 process resize_to_fit: [230, 183]

 storage :file

 def store_dir
 "uploads/#{model.class.to_s.underscore}/#{mounted_as}/#{model.id}"
 end

 version :thumb do
 process resize_to_fit: [230, 183]
 end
 version :screenshot do
 process :screenshot
 def full_filename (for_file = model.logo.file)
 "screenshot.jpg"
 end
 end

 def screenshot
 tmpfile = File.join(File.dirname(current_path), "tmpfile")

 File.rename(current_path, tmpfile)

 movie = FFMPEG::Movie.new(tmpfile)
 movie.screenshot(current_path + ".jpg", {resolution: '230x183' }, preserve_aspect_ratio: :width)
 File.rename(current_path + ".jpg", current_path)

 File.delete(tmpfile)
 end

 def extension_whitelist
 %w(jpg jpeg gif png mp4)
 end
end



*show.html.erb
<h1>Stroll</h1>
<p><%= notice %></p>
<p></p>
<% if @stroll[:image] == nil %>
 <%= image_tag"03summer_ver8-l.jpg", width:"230", height:"183" %>
<% elsif @stroll.image.file.content_type.include?('video/') %>
 <%= link_to @stroll.image_url.to_s do %>
 <%= image_tag(@stroll.image_url(:screenshot).to_s, id: "image", :alt => "screenshot") %>
 <% end %>
<% else %>
 <%= image_tag(@stroll.image.url) if @stroll.image && @stroll.image.url %>
<% end %>
<p>user <%= @stroll.user.name %></p>
<p>『<%= @stroll.title %>』</p>
<p>content: <%= @stroll.content %></p>
<p>tag: <%= @stroll.tag %></p>
<p>comment: </p>
<div>
 <%= render partial: 'comments/index', locals: { comments: @comments, stroll: @stroll } %>
</div>
<% if user_signed_in? && @stroll.user_id != current_user.id %>
 <%= render partial: 'comments/form', locals: { comment: @comment, stroll: @stroll } %>
<% end %>
<% if current_user %>
 <% unless @stroll.user_id == current_user.id %>
 <% if @favorite.present? %>
 <%= link_to 'cancel', favorite_path(id: @favorite.id), method: :delete, class: 'btn btn-info' %>
 <% else %>
 <%= link_to 'Like！', favorites_path(stroll_id: @stroll.id), method: :post, class: 'btn btn-warning' %>
 <% end %>
 <% end %>
<% end %>
&emsp;
<%= link_to "Index", strolls_path %>


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