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• avcodec/mqc : Hardcode tables to save space

  7 mai 2021, par Andreas Rheinhardt

  avcodec/mqc : Hardcode tables to save space
  mqc currently initializes three arrays at runtime ; each of them
  
  has 2 * 47 elements, one is uint16_t, two are uint8_t, so that their
  
  combined size is 8 * 47. The source data for these initializations
  
  is contained in an array of 47 elements of size six. Said array is
  
  only used in order to initialize the other arrays, so the savings
  
  are just 2 * 47B. Yet this is dwarfed by the size of the code for
  
  performing the initializations : It is 109B (GCC 10.2, x64, -O3 albeit
  
  in an av_cold function) ; this does not even include the size of the
  
  code in the callers. So just hardcode these tables.
  This also fixes a data race, because the encoder always initialized
  
  these tables during init, although they might already be used at the
  
  same time by already running encoder/decoder instances.
  Signed-off-by : Andreas Rheinhardt <andreas.rheinhardt@outlook.com>
  

  • [DH] libavcodec/j2kenc.c
  • [DH] libavcodec/jpeg2000dec.c
  • [DH] libavcodec/mqc.c
  • [DH] libavcodec/mqc.h

• I cant save the animation

  17 mai 2021, par Gokul

  i tried various examples though i cant find proper solution. This is the example code of my project i want to save this in a mp4 format and i used ffmpeg. Any suggestion for this would be appreciated. Thank you in advance

  


  import pandas as pd
import numpy as np
import ma``tplotlib.pyplot as plt
import matplotlib.animation as animation

df = data.iloc[0:250, 4:12]
df1 = df2.iloc[:,0:3]

a1 = df.iloc[:,0]/2
a2 = df.iloc[:,1]/2
b1 = df.iloc[:,2]/2
b2 = df.iloc[:,3]/2
c1 = df.iloc[:,4]/2
c2 = df.iloc[:,5]/2
m1 = df1.iloc[:,0]
m2 = df1.iloc[:,1]
m3 = df1.iloc[:,2]

fig ,ax = plt.subplots()

l1, = ax.plot (vert1, vert2, 'ro', markersize = m1[0])
l2, = ax.plot (long1, long2, 'ro', markersize = m2[0])
l3, = ax.plot (tras1, tras2, 'ro', markersize = m3[0])

def init():    
    l1.set_data([],[])
    l2.set_data([],[])
    l3.set_data([],[])
    
    return (l1,l2,l3)

def animate(i,l1,l2,l3):
    
    l1.set_data(vert1[i], vert2[i])
    l1.set_markersize(m1[i])
    l2.set_data(long1[i], long2[i])
    l2.set_markersize(m2[i])
    l3.set_data(tras1[i], tras2[i])
    l3.set_markersize(m3[i])

    return (l1,l2,l3)

Writer = animation.writers['ffmpeg']
writer = Writer(fps= 100, metadata = dict(artist = 'me'), bitrate = 1800)

ani = animation.FuncAnimation(fig, animate, fargs=(l1,l2,l3), init_func=init, interval=10, blit=False)
ani.save('/Users/gokulthangavel/Downloads/basic_animation.mp4', writer = writer)

plt.show()


  


• I cant save the animation in ffmpeg

  22 mai 2021, par Gokul

  i tried various examples though i cant find proper solution. This is the example code of my project i want to save this in a mp4 format and i used ffmpeg. the animation was saved if I use df = pd.DataFrame(np.random.rand(250,3)) but it is not working for my sample code, it showed key error = 0. Note : df1 = pd.DataFrame(np.random.randint(5,15,[250,3])).
Any suggestion for this would be appreciated. Thank you in advance

  


  import pandas as pd
import numpy as np
import ma``tplotlib.pyplot as plt
import matplotlib.animation as animation

df = data.iloc[0:250, 4:12]
df1 = df2.iloc[:,0:3]

a1 = df.iloc[:,0]/2
a2 = df.iloc[:,1]/2
b1 = df.iloc[:,2]/2
b2 = df.iloc[:,3]/2
c1 = df.iloc[:,4]/2
c2 = df.iloc[:,5]/2
m1 = df1.iloc[:,0]
m2 = df1.iloc[:,1]
m3 = df1.iloc[:,2]

fig ,ax = plt.subplots()

l1, = ax.plot (vert1, vert2, 'ro', markersize = m1[0])
l2, = ax.plot (long1, long2, 'ro', markersize = m2[0])
l3, = ax.plot (tras1, tras2, 'ro', markersize = m3[0])

def init():    
    l1.set_data([],[])
    l2.set_data([],[])
    l3.set_data([],[])
    
    return (l1,l2,l3)

def animate(i,l1,l2,l3):
    
    l1.set_data(vert1[i], vert2[i])
    l1.set_markersize(m1[i])
    l2.set_data(long1[i], long2[i])
    l2.set_markersize(m2[i])
    l3.set_data(tras1[i], tras2[i])
    l3.set_markersize(m3[i])

    return (l1,l2,l3)

Writer = animation.writers['ffmpeg']
writer = Writer(fps= 100, metadata = dict(artist = 'me'), bitrate = 1800)

ani = animation.FuncAnimation(fig, animate, fargs=(l1,l2,l3), init_func=init, interval=10, blit=False)
ani.save('/Users/gokulthangavel/Downloads/basic_animation.mp4', writer = writer)

plt.show()