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Médias (91)
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MediaSPIP Simple : futur thème graphique par défaut ?
26 septembre 2013, par
Mis à jour : Octobre 2013
Langue : français
Type : Video
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avec chosen
13 septembre 2013, par
Mis à jour : Septembre 2013
Langue : français
Type : Image
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sans chosen
13 septembre 2013, par
Mis à jour : Septembre 2013
Langue : français
Type : Image
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config chosen
13 septembre 2013, par
Mis à jour : Septembre 2013
Langue : français
Type : Image
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SPIP - plugins - embed code - Exemple
2 septembre 2013, par
Mis à jour : Septembre 2013
Langue : français
Type : Image
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GetID3 - Bloc informations de fichiers
9 avril 2013, par
Mis à jour : Mai 2013
Langue : français
Type : Image
Autres articles (29)
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Les autorisations surchargées par les plugins
27 avril 2010, parMediaspip core
autoriser_auteur_modifier() afin que les visiteurs soient capables de modifier leurs informations sur la page d’auteurs -
Ajouter notes et légendes aux images
7 février 2011, parPour pouvoir ajouter notes et légendes aux images, la première étape est d’installer le plugin "Légendes".
Une fois le plugin activé, vous pouvez le configurer dans l’espace de configuration afin de modifier les droits de création / modification et de suppression des notes. Par défaut seuls les administrateurs du site peuvent ajouter des notes aux images.
Modification lors de l’ajout d’un média
Lors de l’ajout d’un média de type "image" un nouveau bouton apparait au dessus de la prévisualisation (...) -
Supporting all media types
13 avril 2011, parUnlike most software and media-sharing platforms, MediaSPIP aims to manage as many different media types as possible. The following are just a few examples from an ever-expanding list of supported formats : images : png, gif, jpg, bmp and more audio : MP3, Ogg, Wav and more video : AVI, MP4, OGV, mpg, mov, wmv and more text, code and other data : OpenOffice, Microsoft Office (Word, PowerPoint, Excel), web (html, CSS), LaTeX, Google Earth and (...)
Sur d’autres sites (4108)
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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> -
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/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>