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Valkaama DVD Label
4 octobre 2011, par
Mis à jour : Février 2013
Langue : English
Type : Image
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Podcasting Legal guide
16 mai 2011, par
Mis à jour : Mai 2011
Langue : English
Type : Texte
Autres articles (98)
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List of compatible distributions
26 avril 2011, parThe table below is the list of Linux distributions compatible with the automated installation script of MediaSPIP. Distribution nameVersion nameVersion number Debian Squeeze 6.x.x Debian Weezy 7.x.x Debian Jessie 8.x.x Ubuntu The Precise Pangolin 12.04 LTS Ubuntu The Trusty Tahr 14.04
If you want to help us improve this list, you can provide us access to a machine whose distribution is not mentioned above or send the necessary fixes to add (...) -
(Dés)Activation de fonctionnalités (plugins)
18 février 2011, parPour gérer l’ajout et la suppression de fonctionnalités supplémentaires (ou plugins), MediaSPIP utilise à partir de la version 0.2 SVP.
SVP permet l’activation facile de plugins depuis l’espace de configuration de MediaSPIP.
Pour y accéder, il suffit de se rendre dans l’espace de configuration puis de se rendre sur la page "Gestion des plugins".
MediaSPIP est fourni par défaut avec l’ensemble des plugins dits "compatibles", ils ont été testés et intégrés afin de fonctionner parfaitement avec chaque (...) -
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 (9583)
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cap.isOpened() : returns false in CentOS for Python 3 and OpenCV 3.1.0
29 octobre 2017, par Mona JalalSo cap from opencv 3 doesn’t work in CentOS. I had no problem in OSX or Windows 7 which I tried initially.
Here is the example code :import cv2
cap = cv2.VideoCapture('/home/grad3/jalal/PycharmProjects/hw4_cs585/Concession_LAN_800k.mp4',cv2.CAP_FFMPEG)
if not cap.isOpened():
print('not opened')
while True:
ret,frame = cap.read()
if ret == False:
print('frame empty')
break
cv2.imshow('frame', frame)
if cv2.waitKey(1) == ord('q'):
breakAnd I get :
/usr/local/anaconda3/bin/python /home/grad3/jalal/PycharmProjects/hw4_cs585/test.py
not opened
frame empty
Process finished with exit code 0I can open the video using ffplay vid_name and also here is the result of https://pastebin.com/YGk2DDCi here https://pastebin.com/HSyHSsEZ (ffmpeg codecs). How should I fix this ?
I have opencv 3.1.0 and here’s some sys info.
$ uname -a
Linux goku.bu.edu 3.10.0-693.5.2.el7.x86_64 #1 SMP Fri Oct 20 20:32:50 UTC 2017 x86_64 x86_64 x86_64 GNU/Linuxand
$ lsb_release -a
LSB Version: :core-4.1-amd64:core-4.1-noarch
Distributor ID: CentOS
Description: CentOS Linux release 7.4.1708 (Core)
Release: 7.4.1708
Codename: Core
cv2. getBuildInformation()
General configuration for OpenCV 3.1.0 =====================================
Version control: unknown
Platform:
Host: Linux 4.8.0-46-generic x86_64
CMake: 3.6.3
CMake generator: Unix Makefiles
CMake build tool: /usr/bin/gmake
Configuration: Release
C/C++:
Built as dynamic libs?: YES
C++ Compiler: /opt/rh/devtoolset-2/root/usr/bin/c++ (ver 4.8.2)
C++ flags (Release): -I/cs/software/anaconda3/include -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -Wno-narrowing -Wno-delete-non-virtual-dtor -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -msse -msse2 -mno-avx -msse3 -mno-ssse3 -mno-sse4.1 -mno-sse4.2 -ffunction-sections -fvisibility=hidden -fvisibility-inlines-hidden -fopenmp -O3 -DNDEBUG -DNDEBUG
C++ flags (Debug): -I/cs/software/anaconda3/include -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -Wno-narrowing -Wno-delete-non-virtual-dtor -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -msse -msse2 -mno-avx -msse3 -mno-ssse3 -mno-sse4.1 -mno-sse4.2 -ffunction-sections -fvisibility=hidden -fvisibility-inlines-hidden -fopenmp -g -O0 -DDEBUG -D_DEBUG
C Compiler: /opt/rh/devtoolset-2/root/usr/bin/cc
C flags (Release): -I/cs/software/anaconda3/include -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wno-narrowing -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -msse -msse2 -mno-avx -msse3 -mno-ssse3 -mno-sse4.1 -mno-sse4.2 -ffunction-sections -fvisibility=hidden -fopenmp -O3 -DNDEBUG -DNDEBUG
C flags (Debug): -I/cs/software/anaconda3/include -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wno-narrowing -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -msse -msse2 -mno-avx -msse3 -mno-ssse3 -mno-sse4.1 -mno-sse4.2 -ffunction-sections -fvisibility=hidden -fopenmp -g -O0 -DDEBUG -D_DEBUG
Linker flags (Release):
Linker flags (Debug):
Precompiled headers: YES
Extra dependencies: /cs/software/anaconda3/lib/libjpeg.so /cs/software/anaconda3/lib/libpng.so /cs/software/anaconda3/lib/libtiff.so /cs/software/anaconda3/lib/libhdf5.so /usr/lib64/librt.so /usr/lib64/libpthread.so /cs/software/anaconda3/lib/libz.so /usr/lib64/libdl.so /usr/lib64/libm.so dl m pthread rt
3rdparty dependencies: libwebp libjasper IlmImf libprotobuf
OpenCV modules:
To be built: core flann hdf imgproc ml photo reg surface_matching video dnn fuzzy imgcodecs shape videoio highgui objdetect plot superres xobjdetect xphoto bgsegm bioinspired dpm face features2d line_descriptor saliency text calib3d ccalib datasets rgbd stereo structured_light tracking videostab xfeatures2d ximgproc aruco optflow stitching python3
Disabled: world contrib_world
Disabled by dependency: -
Unavailable: cudaarithm cudabgsegm cudacodec cudafeatures2d cudafilters cudaimgproc cudalegacy cudaobjdetect cudaoptflow cudastereo cudawarping cudev java python2 ts viz cvv matlab sfm
GUI:
QT: NO
GTK+: NO
GThread : NO
GtkGlExt: NO
OpenGL support: NO
VTK support: NO
Media I/O:
ZLib: /cs/software/anaconda3/lib/libz.so (ver 1.2.8)
JPEG: /cs/software/anaconda3/lib/libjpeg.so (ver 80)
WEBP: build (ver 0.3.1)
PNG: /cs/software/anaconda3/lib/libpng.so (ver 1.6.27)
TIFF: /cs/software/anaconda3/lib/libtiff.so (ver 42 - 4.0.6)
JPEG 2000: build (ver 1.900.1)
OpenEXR: build (ver 1.7.1)
GDAL: NO
Video I/O:
DC1394 1.x: NO
DC1394 2.x: NO
FFMPEG: NO
codec: NO
format: NO
util: NO
swscale: NO
resample: NO
gentoo-style: NO
GStreamer: NO
OpenNI: NO
OpenNI PrimeSensor Modules: NO
OpenNI2: NO
PvAPI: NO
GigEVisionSDK: NO
UniCap: NO
UniCap ucil: NO
V4L/V4L2: YES/YES
XIMEA: NO
Xine: NO
gPhoto2: NO
Parallel framework: OpenMP
Other third-party libraries:
Use IPP: 9.0.1 [9.0.1]
at: /opt/conda/conda-bld/opencv_1491943704081/work/opencv-3.1.0/3rdparty/ippicv/unpack/ippicv_lnx
Use IPP Async: NO
Use VA: NO
Use Intel VA-API/OpenCL: NO
Use Eigen: YES (ver 3.2.8)
Use Cuda: NO
Use OpenCL: NO
Use custom HAL: NO
Python 2:
Interpreter: (ver 3.5.3)
Python 3:
Interpreter: /cs/software/anaconda3/bin/python (ver 3.5.3)
Libraries: /cs/software/anaconda3/lib/libpython3.5m.so (ver 3.5.3)
numpy: /cs/software/anaconda3/lib/python3.5/site-packages/numpy/core/include (ver 1.12.1)
packages path: /cs/software/anaconda3/lib/python3.5/site-packages
Python (for build):
Java:
ant: NO
JNI: NO
Java wrappers: NO
Java tests: NO
Matlab: NO
Tests and samples:
Tests: NO
Performance tests: NO
C/C++ Examples: NO
Install path: /cs/software/anaconda3
cvconfig.h is in: /opt/conda/conda-bld/opencv_1491943704081/work/opencv-3.1.0/build
-----------------------------------------------------------------UPDATE : tried .avi and .flv formats and the same problem !
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[FFmpeg on Windows] : help me converting a set of .png files to a video file
31 octobre 2016, par Stefano FedeleHi everybody I am on windows 10, I installed FFMpeg and I would like to use it to convert 100 .png image files into a video file.
I am using it via the prompt, which is the Windows console, and I am struggling with the syntax (which probability comes from Linux). I set the folder in which ffmpeg.exe is contained as a windows system path as suggested on many websites and I moved the prompt to the folders in which the image files are contained which is reported here :
cd C:\video\pnts + ag 40 nm- during-tmpyp 10-12- laser power 7mw- kinetic100- exposure time 1s- gain
I would like to convert the image files contained in this folder into a video file, the names of those image files are reported here :
pnts + ag 40 nm- during-tmpyp 10-12- laser power 7mw- kinetic100- exposure time 1s- gain 20 001.png
pnts + ag 40 nm- during-tmpyp 10-12- laser power 7mw- kinetic100- exposure time 1s- gain 20 002.png
...
...
pnts + ag 40 nm- during-tmpyp 10-12- laser power 7mw- kinetic100- exposure time 1s- gain 20 100.png
The number of frames per second whould be 2.
I read on internet that I should have to type something like this
ffmpeg -i image-%03d.png video.webm
But it looks like there are a lot of variables to consider and all the times I try to set them and run FFmpeg I get an error from the prompt.
Is there anyone who could suggest me the proper syntax, please ? -
Users Flow for Piwik : discover the most popular paths your users take through your website or app
14 décembre 2016, par InnoCraft — PluginsHi, this is Tom from InnoCraft. The company of the makers of Piwik.
Do you know how your visitors navigate through your website or app ? Well, we thought we did, but it turned out we didn’t until we actually were able to visualize those paths over several steps in an easy to understand graph. We were really surprised by some paths our users took every day. We discovered new popular pages where we totally under-estimated their importance. We found that many users actually had a problem on our home page so they had to reload it and we improved some popular paths we didn’t expect users were going. Now these paths are much more straight-forward for our users.
-> Read the rest of the story on the Users Flow Marketplace page.
What does the new Users Flow report look like ?
Here is below just a little preview of the Users Flow report. The plugin includes more reports and goodies !
Where do I get Users Flow ?
Users Flow is available on the Piwik Marketplace :
Users Flow is premium plugin for Piwik and comes with our 14 day money back guarantee and 1-click installation & updates (all product updates come for free).
You can also signup for a free Piwik Cloud-hosted trial to discover the power of Users Flow !
Happy Analytics,