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• avcodec/mpeg12dec : Don't initialize IDCT more than once

  1er octobre 2023, par Andreas Rheinhardt

  avcodec/mpeg12dec : Don't initialize IDCT more than once
  Before 998c9f15d1ca8c7489775ebcca51623b915988f1, the IDCTDSPContext
  
  has only been initialized in ff_mpv_common_init() which is deferred
  
  until immediately before decoding a picture ; to nevertheless parse
  
  the quant matrices in sequence headers or quant matrix extensions,
  
  a dummy (identity) permutation has been stored in the codec's init
  
  function ; after ff_mpv_common_init() which could change the permutation
  
  the matrices were repermutated.
  Yet since said commit, the IDCTDSPContext is initialized during init
  
  and does not change afterwards (unless the user forces different CPU
  
  flags), so there is no need to reinitialize it ; the repermutation code
  
  can be removed as well.
  Signed-off-by : Andreas Rheinhardt <andreas.rheinhardt@outlook.com>
  

  • [DH] libavcodec/mpeg12dec.c

• dnn_backend_native_layer_mathunary : add sin support

  6 juin 2020, par Ting Fu

  dnn_backend_native_layer_mathunary : add sin support
  It can be tested with the model file generated with below python scripy :
  import tensorflow as tf
  
  import numpy as np
  
  import imageio
  in_img = imageio.imread('input.jpeg')
  
  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')
  
  x1 = tf.multiply(x, 3.14)
  
  x2 = tf.sin(x1)
  
  y = tf.identity(x2, 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 : Ting Fu <ting.fu@intel.com>
  
  Signed-off-by : Guo Yejun <yejun.guo@intel.com>
  

  • [DH] libavfilter/dnn/dnn_backend_native_layer_mathunary.c
  • [DH] libavfilter/dnn/dnn_backend_native_layer_mathunary.h
  • [DH] tools/python/convert_from_tensorflow.py
  • [DH] tools/python/convert_header.py

• Gstreamer : how to achieve the same effect as ffmpeg filter tmix

  2 février, par dudengke

  The ffmpeg command can smooth video :

  


  ffmpeg -i 1.h265 -vf "tmix=frames=3:weights=1 1 1" 2.h265


  


  Now i want to use gstreamer to smooth but I can't find the avfilter in gst-libav

  


  gst-launch-1.0 filesrc location=1.h265 ! decodebin ! videoconvert ! avfilter filter="tmix=frames=3:weights=1 1 1" ! videoconvert ! gstsink


  


  My question : Is there another way gstreamer can achieve the same effect as "tmix" in ffmpeg ?
I tried chatGPT, but the effect was not.

  


  gst-launch-1.0 filesrc location=1.h265 ! h265parse ! avdec_h265 ! videoconvert ! tee name=t \
t. ! queue ! identity single-segment=true ! videomixer name=mix sink_0::alpha=0.33 \
t. ! queue ! identity single-segment=true ! mix.sink_1 \
t. ! queue ! identity single-segment=true ! mix.sink_2 \
mix. ! gtksink