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Médias (1)
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Spitfire Parade - Crisis
15 mai 2011, par
Mis à jour : Septembre 2011
Langue : English
Type : Audio
Autres articles (62)
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Websites made with MediaSPIP
2 mai 2011, parThis page lists some websites based on MediaSPIP.
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Creating farms of unique websites
13 avril 2011, parMediaSPIP platforms can be installed as a farm, with a single "core" hosted on a dedicated server and used by multiple websites.
This allows (among other things) : implementation costs to be shared between several different projects / individuals rapid deployment of multiple unique sites creation of groups of like-minded sites, making it possible to browse media in a more controlled and selective environment than the major "open" (...) -
Problèmes fréquents
10 mars 2010, parPHP et safe_mode activé
Une des principales sources de problèmes relève de la configuration de PHP et notamment de l’activation du safe_mode
La solution consiterait à soit désactiver le safe_mode soit placer le script dans un répertoire accessible par apache pour le site
Sur d’autres sites (6368)
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avcodec/v210dec : add support for frame and slice threading
25 novembre 2019, par Limin Wangavcodec/v210dec : add support for frame and slice threading
1, Test server configure :
[root@localhost ]# cat /proc/cpuinfo |grep "model name"
model name : Intel(R) Xeon(R) CPU E5-2650 v2 @ 2.60GHz
model name : Intel(R) Xeon(R) CPU E5-2650 v2 @ 2.60GHz
...[root@localhost ]# free -h
total used free shared buff/cache available
Mem : 102G 1.1G 100G 16M 657M 100G
Swap : 4.0G 0B 4.0G2, Test result :
encode the v210 input data for testing :
./ffmpeg -y -i 4k_422.ts -c:v v210 -vframes 10 test.avimaster :
./ffmpeg -y -threads 1 -stream_loop 1000 -i ./test.avi -benchmark -f null -
frame=10010 fps= 60 q=-0.0 Lsize=N/A time=00:38:26.30 bitrate=N/A speed=13.7x
video:5240kB audio:432432kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead : unknown
bench : utime=101.869s stime=66.181s rtime=167.996s
bench : maxrss=186552kBpatch applied :
./ffmpeg -y -threads 2 -thread_type slice -stream_loop 1000 -i ./test.avi -benchmark -f null -
frame=10010 fps= 72 q=-0.0 Lsize=N/A time=00:38:26.30 bitrate=N/A speed=16.5x
video:5240kB audio:432432kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead : unknown
bench : utime=103.562s stime=74.858s rtime=139.599s
bench : maxrss=188616kB./ffmpeg -y -threads 2 -thread_type frame -stream_loop 1000 -i ./test.avi -benchmark -f null -
frame=10010 fps= 85 q=-0.0 Lsize=N/A time=00:38:26.30 bitrate=N/A speed=19.6x
video:5240kB audio:432432kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead : unknown
bench : utime=114.310s stime=92.685s rtime=117.693s
bench : maxrss=231896kBSigned-off-by : Limin Wang <lance.lmwang@gmail.com>
Signed-off-by : Michael Niedermayer <michael@niedermayer.cc> -
avfilter/vf_dnn_processing : add a generic filter for image proccessing with dnn networks
31 octobre 2019, par Guo, Yejunavfilter/vf_dnn_processing : add a generic filter for image proccessing with dnn networks
This filter accepts all the dnn networks which do image processing.
Currently, frame with formats rgb24 and bgr24 are supported. Other
formats such as gray and YUV will be supported next. The dnn network
can accept data in float32 or uint8 format. And the dnn network can
change frame size.The following is a python script to halve the value of the first
channel of the pixel. 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
import imageio
in_img = imageio.imread('in.bmp')
in_img = in_img.astype(np.float32)/255.0
in_data = in_img[np.newaxis, :]
filter_data = np.array([0.5, 0, 0, 0, 1., 0, 0, 0, 1.]).reshape(1,1,3,3).astype(np.float32)
filter = tf.Variable(filter_data)
x = tf.placeholder(tf.float32, shape=[1, None, None, 3], 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())
output = sess.run(y, feed_dict=x : in_data)
graph_def = tf.graph_util.convert_variables_to_constants(sess, sess.graph_def, ['dnn_out'])
tf.train.write_graph(graph_def, '.', 'halve_first_channel.pb', as_text=False)
output = output * 255.0
output = output.astype(np.uint8)
imageio.imsave("out.bmp", np.squeeze(output))To do the same thing with ffmpeg :
generate halve_first_channel.pb with the above script
generate halve_first_channel.model with tools/python/convert.py
try with following commands
./ffmpeg -i input.jpg -vf dnn_processing=model=halve_first_channel.model:input=dnn_in:output=dnn_out:fmt=rgb24:dnn_backend=native -y out.native.png
./ffmpeg -i input.jpg -vf dnn_processing=model=halve_first_channel.pb:input=dnn_in:output=dnn_out:fmt=rgb24:dnn_backend=tensorflow -y out.tf.pngSigned-off-by : Guo, Yejun <yejun.guo@intel.com>
Signed-off-by : Pedro Arthur <bygrandao@gmail.com> -
avcodec/v410dec : add support for frame and slice threading
25 novembre 2019, par Limin Wangavcodec/v410dec : add support for frame and slice threading
1, Test server configure :
[root@localhost ]# cat /proc/cpuinfo |grep "model name"
model name : Intel(R) Xeon(R) CPU E5-2650 v2 @ 2.60GHz
model name : Intel(R) Xeon(R) CPU E5-2650 v2 @ 2.60GHz
...[root@localhost ]# free -h
total used free shared buff/cache available
Mem : 102G 1.1G 100G 16M 657M 100G
Swap : 4.0G 0B 4.0G2, Test result :
encode the v410 input data for testing :
./ffmpeg -y -i 4k_422.ts -c:v v410 -vframes 10 test.avimaster :
./ffmpeg -y -stream_loop 1000 -i ./test.avi -benchmark -f null -
frame=10010 fps= 37 q=-0.0 Lsize=N/A time=00:38:26.30 bitrate=N/A speed= 8.6x
video:5240kB audio:432432kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead : unknown
bench : utime=166.016s stime=102.192s rtime=268.120s
bench : maxrss=273400kBpatch applied :
./ffmpeg -y -threads 2 -thread_type slice -stream_loop 1000 -i ./test.avi -benchmark -f null -
frame=10010 fps= 53 q=-0.0 Lsize=N/A time=00:38:26.30 bitrate=N/A speed=12.3x
video:5240kB audio:432432kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead : unknown
bench : utime=165.135s stime=100.456s rtime=187.994s
bench : maxrss=275476kB./ffmpeg -y -threads 2 -thread_type frame -stream_loop 1000 -i ./test.avi -benchmark -f null -
frame=10010 fps= 61 q=-0.0 Lsize=N/A time=00:38:26.30 bitrate=N/A speed=14.1x
video:5240kB audio:432432kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead : unknown
bench : utime=171.386s stime=122.102s rtime=163.637s
bench : maxrss=340308kBSigned-off-by : Limin Wang <lance.lmwang@gmail.com>
Signed-off-by : Michael Niedermayer <michael@niedermayer.cc>