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• vf_dnn_processing : add support for more formats gray8 and grayf32

  27 décembre 2019, par Guo, Yejun

  vf_dnn_processing : add support for more formats gray8 and grayf32
  The following is a python script to halve the value of the gray
  
  image. It demos how to setup and execute dnn model with python+tensorflow.
  
  It also generates .pb file which will be used by ffmpeg.
  import tensorflow as tf
  
  import numpy as np
  
  from skimage import color
  
  from skimage import io
  
  in_img = io.imread('input.jpg')
  
  in_img = color.rgb2gray(in_img)
  
  io.imsave('ori_gray.jpg', np.squeeze(in_img))
  
  in_data = np.expand_dims(in_img, axis=0)
  
  in_data = np.expand_dims(in_data, axis=3)
  
  filter_data = np.array([0.5]).reshape(1,1,1,1).astype(np.float32)
  
  filter = tf.Variable(filter_data)
  
  x = tf.placeholder(tf.float32, shape=[1, None, None, 1], name='dnn_in')
  
  y = tf.nn.conv2d(x, filter, strides=[1, 1, 1, 1], padding='VALID', 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, '.', 'halve_gray_float.pb', as_text=False)
  
  print("halve_gray_float.pb generated, please use \
  
  path_to_ffmpeg/tools/python/convert.py to generate halve_gray_float.model\n")
  
  output = sess.run(y, feed_dict=x : in_data)
  
  output = output * 255.0
  
  output = output.astype(np.uint8)
  
  io.imsave("out.jpg", np.squeeze(output))
  To do the same thing with ffmpeg :
  
   generate halve_gray_float.pb with the above script
  
   generate halve_gray_float.model with tools/python/convert.py
  
   try with following commands
  
    ./ffmpeg -i input.jpg -vf format=grayf32,dnn_processing=model=halve_gray_float.model:input=dnn_in:output=dnn_out:dnn_backend=native out.native.png
  
    ./ffmpeg -i input.jpg -vf format=grayf32,dnn_processing=model=halve_gray_float.pb:input=dnn_in:output=dnn_out:dnn_backend=tensorflow out.tf.png
  Signed-off-by : Guo, Yejun <yejun.guo@intel.com>
  
  Signed-off-by : Pedro Arthur <bygrandao@gmail.com>
  

  • [DH] doc/filters.texi
  • [DH] libavfilter/vf_dnn_processing.c

• "The system cannot find the file specified" when animating with ffmpeg in matplotlib

  27 novembre 2019, par algol

  I am trying to generate a movie from a stack of numpy arrays using a function I have used on a different computer (a mac) on my home computer (Windows 10). Here is the function that I am using :

  def make_animation(frames,name): 
  
  
  
      plt.rcParams['animation.ffmpeg_path'] = u'C:\ffmpeg-20190320-0739d5c-win64-static\bin\ffmpeg.exe' 
  
      n_images=frames.shape[2] 
  
      assert (n_images>1)   
  
      figsize=(10,10)
  
      fig, ax = plt.subplots(figsize=figsize)
  
      fig.tight_layout()
  
      fig.subplots_adjust(left=0, bottom=0, right=1, top=1, wspace=None, hspace=None)
  
      #lineR, = ax.plot(xaxis_data[0],R_data[0],'c-',label="resources")
  
      img = ax.imshow(frames[:,:,0], animated = True)   
  
  
  
  
  
      def updatefig(img_num): 
  
  
  
          #lineR.set_data(xaxis_data[img_num],R_data[img_num],'r-')
  
  
  
          img.set_data(frames[:,:,img_num])
  
  
  
          return [img]
  
  
  
  
  
      ani = animation.FuncAnimation(fig, updatefig, np.arange(1, n_images), interval=50, blit=True)
  
      mywriter = animation.FFMpegWriter(fps = 20)
  
      #ani.save('mymovie.mp4',writer=mywriter)
  
  
  
      ani.save(f"D:\{name}.mp4",writer=mywriter)
  
  
  
      plt.close(fig)

  Here is the error that I am getting :

  Traceback (most recent call last):
  
  
  
    File "", line 1, in <module>
  
      make_animation(stack,'full_test')
  
  
  
    File "", line 27, in make_animation
  
      ani.save(f"D:\{name}.mp4",writer=mywriter)
  
  
  
    File "C:\Users\~snip~\Anaconda3\lib\site-packages\matplotlib\animation.py", line 1136, in save
  
      with writer.saving(self._fig, filename, dpi):
  
  
  
    File "C:\Users\~snip~\Anaconda3\lib\contextlib.py", line 112, in __enter__
  
      return next(self.gen)
  
  
  
    File "C:\Users\~snip~\Anaconda3\lib\site-packages\matplotlib\animation.py", line 228, in saving
  
      self.setup(fig, outfile, dpi, *args, **kwargs)
  
  
  
    File "C:\Users\~snip~\Anaconda3\lib\site-packages\matplotlib\animation.py", line 352, in setup
  
      self._run()
  
  
  
    File "C:\Users\~snip~\Anaconda3\lib\site-packages\matplotlib\animation.py", line 363, in _run
  
      creationflags=subprocess_creation_flags)
  
  
  
    File "C:\Users\~snip~\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 143, in __init__
  
      super(SubprocessPopen, self).__init__(*args, **kwargs)
  
  
  
    File "C:\Users\~snip~\Anaconda3\lib\subprocess.py", line 775, in __init__
  
      restore_signals, start_new_session)
  
  
  
    File "C:\Users\~snip~\Anaconda3\lib\subprocess.py", line 1178, in _execute_child
  
      startupinfo)
  
  
  
  FileNotFoundError: [WinError 2] The system cannot find the file specified
  
  </module>

  I know this code basically works since I have used it before on another computer. My guess is that something about ffmpeg is messed up or something about the output path is wrong. I’m not sure what could be wrong with the ffmpeg since I definitely have it installed (via conda) and the path is pretty straightforward. On the other hand I’m not sure what could be wrong with the output path.

• Power-Up your Piwik installation with Custom Reports

  13 novembre 2017, par InnoCraft — Plugins

  Would you like to create a report in Piwik with just the data you want and nothing else ? Would you like to be free to decide the shape of it ? Are you struggling with the Piwik database and wish you could have an easy interface to create the report you want ? Are you tired of exporting your data in a spreadsheet ? Since last October, there’s a solution and it’s called Custom Reports.

  With custom reports you will :

  1. get a user-friendly interface to create the report you wish
  2. see all the possible combinations to create the report you desire
  3. reveal new data combinations which were not directly available in Piwik

  User friendly interface

  The time when you created your reports from MySQL database is over. Now with custom reports you can create the report you want and get the data you need in just a few seconds.
  Custom reports are part of the main user interface. You can access them in just one click :

  

  As you can see from above the interface is straightforward, just indicate the name of your report and start to select the dimensions and metrics you would like to see.

  See all the possible combinations to create the report you desire

  As a user the big question has always been, how much data does Piwik collect and where can I find a list of all those data points ? Here you have the solution. Piwik is gathering in custom reports all the possible combinations so you can select only the data you want :

  

  Creating such a report is going to take you no more than a minute. As with any reports within Piwik, you can easily get information regarding the specific data you are using by hovering your mouse on the question mark next to each dimension and metric :

  

  Make new combinations which were not directly available in Piwik

  By default, not all combinations are possible within the Piwik user interface. Now thanks to Custom Reports, you can easily design the report you want. Here is for example a report crossing page titles and page url :

  

  You can then identify if there are any duplicate titles within your content and see the associated URL in a single report.

  You could also identify easily what are your most viewed entry page from Google :

  

  Custom reports can also be used with segments and filters in order to get even more specific data.
  Here we have an example of a custom report designed to take into consideration only the visits coming from Wikipedia :

  

  What is the next step ?

  As you understood it, Piwik custom reports is the must-have plugin in order to take your Piwik to the next level. Why wait ? Piwik custom reports are available through the marketplace.

  Get Custom Reports

  If you are not sure yet, you can always give it a try within our Piwik Cloud infrastructure.