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Publier une image simplement
13 avril 2011, par ,
Mis à jour : Février 2012
Langue : français
Type : Video
Autres articles (98)
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MediaSPIP 0.1 Beta version
25 avril 2011, parMediaSPIP 0.1 beta is the first version of MediaSPIP proclaimed as "usable".
The zip file provided here only contains the sources of MediaSPIP in its standalone version.
To get a working installation, you must manually install all-software dependencies on the server.
If you want to use this archive for an installation in "farm mode", you will also need to proceed to other manual (...) -
Personnaliser en ajoutant son logo, sa bannière ou son image de fond
5 septembre 2013, parCertains thèmes prennent en compte trois éléments de personnalisation : l’ajout d’un logo ; l’ajout d’une bannière l’ajout d’une image de fond ;
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Multilang : améliorer l’interface pour les blocs multilingues
18 février 2011, parMultilang est un plugin supplémentaire qui n’est pas activé par défaut lors de l’initialisation de MediaSPIP.
Après son activation, une préconfiguration est mise en place automatiquement par MediaSPIP init permettant à la nouvelle fonctionnalité d’être automatiquement opérationnelle. Il n’est donc pas obligatoire de passer par une étape de configuration pour cela.
Sur d’autres sites (11969)
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OpenCV returns an Array of All Zeros on video.read
19 janvier 2020, par Ikechukwu AnudeBelow is the relevant code
import cv2 as cv
import numpy as np
video = cv.VideoCapture(0) #tells obj to use built in camera\
#create a face cascade object
face_cascade =
cv.CascadeClassifier(r"C:\Users\xxxxxxx\AppData\Roaming\Python\Python36\site-
packages\cv2\data\haarcascade_frontalcatface.xml")
a = 1
#create loop to display a video
while True:
a = a + 1
check, frame = video.read()
print(frame)
#converts to a gray scale img
gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)
#create the faces
faces = face_cascade.detectMultiScale(gray, scaleFactor=1.5, minNeighbors=5)
for(x, y, w, h) in faces:
print(x, y, w, h)
#show the image
cv.imshow('capturing', gray)
key = cv.waitKey(1) #gen a new frame every 1ms
if key == ord('q'): #once you enter 'q' the loop will be exited
break
print(a) #this will print the number of frames
#captures the first frame
video.release() #end the web cam
#destroys the windows when you are not defined
cv.destroyAllWindows()The code displays a video captured from my webcam camera. Despite that, OpevCV doesn’t seem to be processing any frames as all the frames look like this
[[0 0 0]
[0 0 0]
[0 0 0]
...
[0 0 0]
[0 0 0]
[0 0 0]]]which I assume means that they are empty.
This I believe is preventing the algorithm from being able to detect my face in the frame. I have a feeling that the issue lies in the ffmpeg codec, but I’m not entirely sure how to proceed even if that is the case.
OS : Windows 10
Language : PythonEDIT : The Frame is not empty but all the values in the array seem to be ’0’
Why is the frame empty and how can I get OpenCV to detect my face in the frame ?
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OpenCV returns an Empty Frame on video.read
20 mars 2019, par Ikechukwu AnudeBelow is the relevant code
import cv2 as cv
import numpy as np
video = cv.VideoCapture(0) #tells obj to use built in camera\
#create a face cascade object
face_cascade =
cv.CascadeClassifier(r"C:\Users\xxxxxxx\AppData\Roaming\Python\Python36\site-
packages\cv2\data\haarcascade_frontalcatface.xml")
a = 1
#create loop to display a video
while True:
a = a + 1
check, frame = video.read()
print(frame)
#converts to a gray scale img
gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)
#create the faces
faces = face_cascade.detectMultiScale(gray, scaleFactor=1.5, minNeighbors=5)
for(x, y, w, h) in faces:
print(x, y, w, h)
#show the image
cv.imshow('capturing', gray)
key = cv.waitKey(1) #gen a new frame every 1ms
if key == ord('q'): #once you enter 'q' the loop will be exited
break
print(a) #this will print the number of frames
#captures the first frame
video.release() #end the web cam
#destroys the windows when you are not defined
cv.destroyAllWindows()The code displays a video captured from my webcam camera. Despite that, OpevCV doesn’t seem to be processing any frames as all the frames look like this
[[0 0 0]
[0 0 0]
[0 0 0]
...
[0 0 0]
[0 0 0]
[0 0 0]]]which I assume means that they are empty.
This I believe is preventing the algorithm from being able to detect my face in the frame. I have a feeling that the issue lies in the ffmpeg codec, but I’m not entirely sure how to proceed even if that is the case.
OS : Windows 10
Language : PythonWhy is the frame empty and how can I get OpenCV to detect my face in the frame ?
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JavaCV grab frame method delays and returns old frames
27 janvier 2019, par Null PointerI’m trying to create a video player in Java using JavaCV and its FFmpegFrameGrabber class. Simply, Inside a loop, I use
.grab() to get a frame and then paint it on a panel
Problem is, player gets delayed. For example, after 30 seconds passes, in video only 20 seconds passes.
Source is ok. Other players can play the stream normally. Problem is possibly the long printing time.
What I do not understand is that : "why does .grab() method brings me a frame from 10 seconds ago ?" Shouldn’t it just grab the frame which is being streamed at the moment ?
(Sorry for not providing a working code, it’s all over different huge classes)
I use the following grabber options (selected by some other colleague) :
grabber.setImageHeight(480);
grabber.setImageWidth(640);
grabber.setOption("reconnect", "1");
grabber.setOption("reconnect_at_eof", "1");
grabber.setOption("reconnect_streamed", "1");
grabber.setOption("reconnect_delay_max", "2");
grabber.setOption("preset", "veryfast");
grabber.setOption("probesize", "192");
grabber.setOption("tune", "zerolatency");
grabber.setFrameRate(30.0);
grabber.setOption("buffer_size", "" + this.bufferSize);
grabber.setOption("max_delay", "500000");
grabber.setOption("stimeout", String.valueOf(6000000));
grabber.setOption("loglevel", "quiet");
grabber.start();Thanks