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Médias (91)
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Les Miserables
9 décembre 2019, par
Mis à jour : Décembre 2019
Langue : français
Type : Textuel
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VideoHandle
8 novembre 2019, par
Mis à jour : Novembre 2019
Langue : français
Type : Video
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Somos millones 1
21 juillet 2014, par
Mis à jour : Juin 2015
Langue : français
Type : Video
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Un test - mauritanie
3 avril 2014, par
Mis à jour : Avril 2014
Langue : français
Type : Textuel
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Pourquoi Obama lit il mes mails ?
4 février 2014, par
Mis à jour : Février 2014
Langue : français
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IMG 0222
6 octobre 2013, par
Mis à jour : Octobre 2013
Langue : français
Type : Image
Autres articles (112)
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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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Websites made with MediaSPIP
2 mai 2011, parThis page lists some websites based on MediaSPIP.
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Des sites réalisés avec MediaSPIP
2 mai 2011, parCette page présente quelques-uns des sites fonctionnant sous MediaSPIP.
Vous pouvez bien entendu ajouter le votre grâce au formulaire en bas de page.
Sur d’autres sites (11316)
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using clang compile ffmpeg with too much warning on osx
12 juin 2014, par arachideI use clang to compile ffmpeg, It reports too much warn
./libavutil/arm/intmath.h:102:40: warning: value size does not match register size specified by the constraint and modifier
[-Wasm-operand-widths]
./libavutil/arm/intmath.h:102:40: warning: value size does not match register size specified by the constraint and modifier
[-Wasm-operand-widths]and finally stop with error
libavcodec/arm/mlpdsp_armv5te.S:5180:9: error: unknown directive
.hword (75f - 0b) / 2
^
libavcodec/arm/mlpdsp_armv5te.S:5182:9: error: unknown directive
.hword (76f - 0b) / 2
^
libavcodec/arm/mlpdsp_armv5te.S:5184:9: error: unknown directive
.hword (77f - 0b) / 2
^
libavcodec/arm/mlpdsp_armv5te.S:5186:9: error: unknown directive
.hword (78f - 0b) / 2
^
libavcodec/arm/mlpdsp_armv5te.S:5648:9: error: unknown directiveIs there anyone met the same problem ?
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Fast green screen video processing on android device
17 mars 2015, par Si-NI have written an app in iOS that takes two video sources, one with moving character on a green screen and any other video. The program then uses the GPUImage framework to add a chroma key shader via OpenGL ES 2 and then merges each frame (so the bottom frame now shows where the green pixels are) and outputs to a new video file. This happens very quickly, faster than real time.
I have now been tasked with porting the app to Android. I thought it would be fairly straightforward. After doing some research I think I am wrong. There is an Android port of GPUImage but it does not handle video at the moment. I have done some research and come up with a very basic idea.
I was wondering if you think this approach is feasible :
Convert one video file to match resolution and type of other video using ffmpeg or JavaCV wrappers.
Read frame by frame of each video using ffmpeg as MediaMetadataRetriever is very slow and convert into some RGB format. Use shader to apply chroma key effect so both frames are merged.
Use ffmpeg to output result to a new file.
This sounds slow, but if it sounds feasible I will try it out. I am not at all sure about making sure the 2 video resolutions / bitrate etc match. One video will be fixed at 1280 * 720 and the other video source will come from the camera on the device so will be variable. Also I think ffmpeg means using NDK which is a whole world of pain I wanted to avoid.
I have a headache thinking about it. Any advice would be greatly appreciated.
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ffmpeg crop detect python using subprocess
12 mai 2015, par JRMI want to use python subprocess to call ffmpeg and use crop detect to find all black in a video. The crop detect return I want to put into a string variable and put in a database. At the moment I can get the process running in terminal and but I am unsure about how to grab the specific part of the terminal (stdout) output :
the script :
def cropDetect():
p = subprocess.Popen(["ffmpeg", "-i", "/Desktop/ffprobe_instance/Crop_detect/video_file.mpg", "-vf", "cropdetect=24:16:0", "-vframes", "10", "dummy.mp4"], stdout=subprocess.PIPE)
result = p.communicate()[0]
print result
# SCRIPT
cropDetect()Result in terminal :
[Parsed_cropdetect_0 @ 0x7fa1d840cb80] x1:719 x2:0 y1:575 y2:0 w :-704 h :-560 x:714 y:570 pos:432142 pts:44102 t:0.490022 crop=-704 :-560:714:570How do I take "crop=-704 :-560:714:570" and put it into a variable that I can store in a database ?
As per update :
def cropDetect1():
p = subprocess.check_output(["ffmpeg", "-i", "/Desktop/ffprobe_instance/Crop_detect/video_file.mpg", "-vf", "cropdetect=24:16:0", "-vframes", "10", "dummy.mp4"])
match = re.search("crop\S+", p)
crop_result = None
if match is not None:
crop_result = match.group()
print "hello %s" % crop_resultI can’t seem to print out the "crop_result" - I am presuming that means that the variable is empty ?
UPDATE : Found it :
def detectCropFile(localPath):
fpath = "/xxx/xx/Desktop/Crop_detect/videos/USUV.mp4"
print "File to detect crop: %s " % fpath
p = subprocess.Popen(["ffmpeg", "-i", fpath, "-vf", "cropdetect=24:16:0", "-vframes", "500", "-f", "rawvideo", "-y", "/dev/null"], stdout=subprocess.PIPE, stderr=subprocess.PIPE)
infos = p.stderr.read()
print infos
allCrops = re.findall(CROP_DETECT_LINE + ".*", infos)
print allCrops
mostCommonCrop = Counter(allCrops).most_common(1)
print "most common crop: %s" % mostCommonCrop
print mostCommonCrop[0][0]
global crop
crop = mostCommonCrop[0][0]
video_rename()Use :
p = subprocess.Popen(["ffmpeg", "-i", fpath, "-vf", "cropdetect=24:16:0", "-vframes", "500", "-f", "rawvideo", "-y", "/dev/null"], stdout=subprocess.PIPE, stderr=subprocess.PIPE)
to pipe it out