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The Great Big Beautiful Tomorrow
28 octobre 2011, par
Mis à jour : Octobre 2011
Langue : English
Type : Texte
Autres articles (51)
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Dépôt de média et thèmes par FTP
31 mai 2013, parL’outil MédiaSPIP traite aussi les média transférés par la voie FTP. Si vous préférez déposer par cette voie, récupérez les identifiants d’accès vers votre site MédiaSPIP et utilisez votre client FTP favori.
Vous trouverez dès le départ les dossiers suivants dans votre espace FTP : config/ : dossier de configuration du site IMG/ : dossier des média déjà traités et en ligne sur le site local/ : répertoire cache du site web themes/ : les thèmes ou les feuilles de style personnalisées tmp/ : dossier de travail (...) -
Personnaliser les catégories
21 juin 2013, parFormulaire de création d’une catégorie
Pour ceux qui connaissent bien SPIP, une catégorie peut être assimilée à une rubrique.
Dans le cas d’un document de type catégorie, les champs proposés par défaut sont : Texte
On peut modifier ce formulaire dans la partie :
Administration > Configuration des masques de formulaire.
Dans le cas d’un document de type média, les champs non affichés par défaut sont : Descriptif rapide
Par ailleurs, c’est dans cette partie configuration qu’on peut indiquer le (...) -
Selection of projects using MediaSPIP
2 mai 2011, parThe examples below are representative elements of MediaSPIP specific uses for specific projects.
MediaSPIP farm @ Infini
The non profit organizationInfini develops hospitality activities, internet access point, training, realizing innovative projects in the field of information and communication technologies and Communication, and hosting of websites. It plays a unique and prominent role in the Brest (France) area, at the national level, among the half-dozen such association. Its members (...)
Sur d’autres sites (8015)
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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 configure always returns "not found" when using sysroot and cross-prefix options - how to use them correctly ?
5 août 2014, par user2212461I try to build ffmpeg with a cross-compiler. When setting the configure flags I am getting the following errors :
WARNING: Compiler does not indicate floating-point ABI, guessing soft.
build_it.sh: 29: build_it.sh: --sysroot=/home/android/android-ndk-r9/platforms/
android-9/arch-arm/: not found
build_it.sh: 32: build_it.sh.sh: --cross-prefix=/home/android/android-ndk-r9/
toolchains/arm-linux-androideabi-4.8/prebuilt/linux-x86/bin/arm-linux-and
roideabi-: not foundThe error message "not found" sounds like the paths dont exist but they are all correct and existing. How can I resolve this error ?
build_it.sh :
NDK=/home/android/android-ndk-r9
SYSROOT=$NDK/platforms/android-9/arch-arm/
TOOLCHAIN=$NDK/toolchains/arm-linux-androideabi-4.8/prebuilt/linux-x86
CPU=arm
PREFIX=test
ADDI_CFLAGS="-marm"
platform="android-9"
./configure \
--disable-asm \
--enable-shared \
--target-os=linux \
--arch=arm \
--enable-cross-compile \
--disable-static \
--sysroot=$SYSROOT \
--extra-cflags="-Os -fpic $ADDI_CFLAGS" \
--extra-ldflags="$ADDI_LDFLAGS"
--cross-prefix=$TOOLCHAIN/bin/arm-linux-androideabi- \
--prefix=$PREFIX \
##configure fails here
... -
Opencv VideoCapture not streaming RTSP link and returns "no frame !"
6 septembre 2023, par Asadullah NaeemI am trying to stream my HikVision IP camera throough python. I am using
cv2.VideoCapture("rtsp_link")
which works fine on my Laptop but when I try to run the same python script with same Opencv and FFmpeg version it gives me following error :

Error :


[h264 @ 000002124c7f9a40] missing picture in access unit with size 47
[h264 @ 000002124c7f9a40] no frame!



I have so far tried to run this script on 5 computer devices but it gives the same error. I am using the following python script and my Opencv version is
4.6.0.66
and ffmpeg version2022-06-20-git-56419428a8-essentials_build-www.gyan.dev
:

Python Script :


import cv2

# RTSP stream URL
rtsp_url = "rtsp://username:password@ip_address:port/Streaming/Channels/501"

# Open the RTSP stream
cap = cv2.VideoCapture(rtsp_url)

# Check if the stream was successfully opened
if not cap.isOpened():
 print("Failed to open RTSP stream.")
 exit()

# Read and display frames from the stream
while True:
 # Read a frame from the stream
 ret, frame = cap.read()

 # Check if the frame was successfully read
 if not ret:
 print("Failed to read frame from RTSP stream.")
 break

 # Display the frame
 cv2.imshow("RTSP Stream", frame)

 # Exit if 'q' is pressed
 if cv2.waitKey(1) & 0xFF == ord('q'):
 break

# Release the resources
cap.release()
cv2.destroyAllWindows()




Update :


Code runs on a laptop on both wifi and mobile internet (4G) but on other devices rtsp link is accessible only with mobile internet (4G).