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• Evolution #4471 (En cours) : singulier_ou_pluriel pour l’arabe

  5 juin 2020, par b b

  Super, merci pour le patch ! Je viens justement de corriger cette fonction pour le français, ton patch sera l’occasion de la compléter :)

• Evolution #4471 : singulier_ou_pluriel pour l’arabe

  1er juin 2020, par George Kandalaft

  Correction :

  <span class="CodeRay"><span class="comment">/**
   * Afficher un message "un truc"/("deux trucs" pour l'arabe)/"N trucs" 
   * Les items sont à indiquer comme pour la fonction _T() sous la forme :
   * "module:chaine" 
   *
   * @param int $nb : le nombre
   * @param string $chaine_un : l'item de langue si $nb vaut un (ou $nb > 10 pour l'arabe)
   * @param string $chaine_plusieurs : l'item de lanque si $nb > 1 ($nb est compris entre 3 et 10 pour l'arabe)
   * @param string $var : La variable à remplacer par $nb dans l'item de langue (facultatif, défaut "nb")
   * @param array $vars : Les autres variables nécessaires aux chaines de langues (facultatif)
   * @return string : la chaine de langue finale en utilisant la fonction _T()
   */</span>
  <span class="keyword">function</span> <span class="function">ar_singulier_ou_pluriel</span>(<span class="local-variable">$nb</span>, <span class="local-variable">$chaine_un</span>, <span class="local-variable">$chaine_plusieurs</span>, <span class="local-variable">$var</span> = <span class="string"><span class="delimiter">'</span><span class="content">nb</span><span class="delimiter">'</span></span>, <span class="local-variable">$vars</span> = <span class="predefined">array</span>()) {
      <span class="keyword">if</span> (!<span class="local-variable">$nb</span> = <span class="predefined">intval</span>(<span class="local-variable">$nb</span>)) {
          <span class="keyword">return</span> <span class="string"><span class="delimiter">'</span><span class="delimiter">'</span></span>;
      }
      <span class="keyword">if</span> (!<span class="predefined">is_array</span>(<span class="local-variable">$vars</span>)) {
          <span class="keyword">return</span> <span class="string"><span class="delimiter">'</span><span class="delimiter">'</span></span>;
      }
      <span class="local-variable">$vars</span>[<span class="local-variable">$var</span>] = <span class="local-variable">$nb</span>;
   
      <span class="keyword">if</span> (<span class="predefined">$GLOBALS</span>[<span class="string"><span class="delimiter">'</span><span class="content">spip_lang</span><span class="delimiter">'</span></span>] == <span class="string"><span class="delimiter">'</span><span class="content">ar</span><span class="delimiter">'</span></span>) {
          <span class="local-variable">$fem</span> = <span class="predefined">substr</span>(_T(<span class="local-variable">$chaine_un</span>), -<span class="integer">2</span>);
          <span class="keyword">switch</span> (<span class="predefined-constant">true</span>) {
              <span class="keyword">case</span> (<span class="local-variable">$nb</span> == <span class="integer">1</span>):
                  <span class="keyword">if</span> (<span class="local-variable">$fem</span> == <span class="string"><span class="delimiter">'</span><span class="content">ة</span><span class="delimiter">'</span></span>) {
                      <span class="local-variable">$un</span> = _T(<span class="local-variable">$chaine_un</span>) . <span class="string"><span class="delimiter">'</span><span class="content"> واحدة</span><span class="delimiter">'</span></span>;
                  } <span class="keyword">else</span> {
                      <span class="local-variable">$un</span> = _T(<span class="local-variable">$chaine_un</span>) . <span class="string"><span class="delimiter">'</span><span class="content"> واحد</span><span class="delimiter">'</span></span>;
                  }
                  <span class="keyword">return</span> <span class="local-variable">$un</span>;
                  <span class="keyword">break</span>;
              <span class="keyword">case</span> (<span class="local-variable">$nb</span> == <span class="integer">2</span>):
                  <span class="keyword">if</span> (<span class="local-variable">$fem</span> == <span class="string"><span class="delimiter">'</span><span class="content">ة</span><span class="delimiter">'</span></span>) {
                      <span class="local-variable">$deux</span> = <span class="predefined">rtrim</span>(_T(<span class="local-variable">$chaine_un</span>), <span class="local-variable">$fem</span>) . <span class="string"><span class="delimiter">'</span><span class="content">تان</span><span class="delimiter">'</span></span>;
                  } <span class="keyword">else</span> {
                      <span class="local-variable">$deux</span> = _T(<span class="local-variable">$chaine_un</span>) . <span class="string"><span class="delimiter">'</span><span class="content">ان</span><span class="delimiter">'</span></span>;
                  }
                  <span class="keyword">return</span> <span class="local-variable">$deux</span>;
                  <span class="keyword">break</span>;
              <span class="keyword">case</span> (<span class="local-variable">$nb</span> ><span class="integer">2</span> &#38;&#38; <span class="local-variable">$nb</span> &lt; <span class="integer">11</span>):
                  <span class="keyword">return</span> _T(<span class="local-variable">$chaine_plusieurs</span>, <span class="local-variable">$vars</span>);
                  <span class="keyword">break</span>;
              <span class="keyword">default</span>:
                  <span class="local-variable">$chaine_un</span> = <span class="local-variable">$nb</span> . <span class="string"><span class="delimiter">'</span><span class="content"> </span><span class="delimiter">'</span></span> . <span class="local-variable">$chaine_un</span>;
                  <span class="keyword">return</span> _T(<span class="local-variable">$chaine_un</span>, <span class="local-variable">$vars</span>);
          }
      } <span class="keyword">else</span> {
          <span class="keyword">if</span> (<span class="local-variable">$nb</span> > <span class="integer">1</span>) {
              <span class="keyword">return</span> _T(<span class="local-variable">$chaine_plusieurs</span>, <span class="local-variable">$vars</span>);
          } <span class="keyword">else</span> {
              <span class="keyword">return</span> _T(<span class="local-variable">$chaine_un</span>, <span class="local-variable">$vars</span>);
          }
      }
  }
  </span>
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• Saving mp4 files into csv for training the data

  4 février 2021, par KSp

  I am very new to the computer vision field and I am trying to train my model and as a start of the work, I used a label encoder to label my videos for events I am using. Here I have two events which are accident and no accident.

  


  Folder Structure for the images :

  


  Colab_Notebooks
- accident(all the .jpg frames are here)
- nonaccident(all the .jpg frames are here)


  


  So my data.csv file looks like this and code given below.

  


  data.csv 
image_path,target
/content/drive/MyDrive/Colab_Notebooks/accident/accident_0000638.jpg,0.0
/content/drive/MyDrive/Colab_Notebooks/nonaccident/nonaccident_0002143.jpg,1.0
/content/drive/MyDrive/Colab_Notebooks/accident/accident_0000372.jpg,0.0
/content/drive/MyDrive/Colab_Notebooks/accident/accident_0000419.jpg,0.0
/content/drive/MyDrive/Colab_Notebooks/nonaccident/nonaccident_0001675.jpg,1.0
/content/drive/MyDrive/Colab_Notebooks/accident/accident_0000307.jpg,0.0
/content/drive/MyDrive/Colab_Notebooks/accident/accident_00001099.jpg,0.0
/content/drive/MyDrive/Colab_Notebooks/accident/accident_0000940.jpg,0.0
/content/drive/MyDrive/Colab_Notebooks/accident/accident_0000892.jpg,0.0
/content/drive/MyDrive/Colab_Notebooks/accident/accident_0000805.jpg,0.0
/content/drive/MyDrive/Colab_Notebooks/accident/accident_0000232.jpg,0.0
/content/drive/MyDrive/Colab_Notebooks/accident/accident_0000255.jpg,0.0
/content/drive/MyDrive/Colab_Notebooks/accident/accident_0000840.jpg,0.0
/content/drive/MyDrive/Colab_Notebooks/accident/accident_0000974.jpg,0.0


  


  The code i used for generating data.csv is as shown below :

  


  all_paths = os.listdir('/content/drive/MyDrive/Colab_Notebooks/')

folder_paths = [x for x in all_paths if os.path.isdir('/content/drive/MyDrive/Colab_Notebooks/' + x )]

print(f"Folder paths : {folder_paths}")
print (f"Number of folders: {len(folder_paths)}")
create_labels = ['accident','nonaccident']

data = pd.DataFrame()

image_formats = ['jpg']
labels = []
counter = 0
for i, folder_path in tqdm(enumerate(folder_paths), total = len(folder_paths)):
    if folder_path not in create_labels:
        continue
    image_paths = os.listdir('/content/drive/MyDrive/Colab_Notebooks/' + folder_path)
    label = folder_path

    for image_path in image_paths:
        if image_path.split('.')[-1] in image_formats:
            data.loc[counter,'image_path'] =  f"/content/drive/MyDrive/Colab_Notebooks/{folder_path}/{image_path}"
            labels.append(label)
            counter += 1
labels = np.array(labels)
# one-hot encode the labels
lb = LabelBinarizer()
labels = lb.fit_transform(labels)

#print(labels)

# save as CSV file
data.to_csv('/content/drive/MyDrive/Colab_Notebooks/data.csv', index=False)

# pickle the binarized labels
print('Saving the binarized labels as pickled file')
joblib.dump(lb, '/content/drive/MyDrive/Colab_Notebooks/lb.pkl')

print(data.head(5))


  


  I was able to do this fine because the dataset you see on top is frames which are jpg images. But I would like to do the same for videos.

  


  Colab_Notebooks
- accident(all the .mp4 clips are here)
- nonaccident(all the .mp4 clips are here)

Expected output:
/content/drive/MyDrive/Colab_Notebooks/accident/accident_0000638.mp4,0.0
/content/drive/MyDrive/Colab_Notebooks/nonaccident/nonaccident_0002143.mp4,1.0
/content/drive/MyDrive/Colab_Notebooks/accident/accident_0000372.mp4,0.0
/content/drive/MyDrive/Colab_Notebooks/accident/accident_0000419.mp4,0.0
/content/drive/MyDrive/Colab_Notebooks/nonaccident/nonaccident_0001675.mp4,1.0
/content/drive/MyDrive/Colab_Notebooks/accident/accident_0000307.mp4,0.0


  


  Could someone tell me how do I modify the code to read the video clips instead of images ?