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GetID3 - Bloc informations de fichiers
9 avril 2013, par
Mis à jour : Mai 2013
Langue : français
Type : Image
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Mis à jour : Avril 2013
Langue : français
Type : Image
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Autres articles (79)
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Le profil des utilisateurs
12 avril 2011, parChaque utilisateur dispose d’une page de profil lui permettant de modifier ses informations personnelle. Dans le menu de haut de page par défaut, un élément de menu est automatiquement créé à l’initialisation de MediaSPIP, visible uniquement si le visiteur est identifié sur le site.
L’utilisateur a accès à la modification de profil depuis sa page auteur, un lien dans la navigation "Modifier votre profil" est (...) -
XMP PHP
13 mai 2011, parDixit Wikipedia, XMP signifie :
Extensible Metadata Platform ou XMP est un format de métadonnées basé sur XML utilisé dans les applications PDF, de photographie et de graphisme. Il a été lancé par Adobe Systems en avril 2001 en étant intégré à la version 5.0 d’Adobe Acrobat.
Étant basé sur XML, il gère un ensemble de tags dynamiques pour l’utilisation dans le cadre du Web sémantique.
XMP permet d’enregistrer sous forme d’un document XML des informations relatives à un fichier : titre, auteur, historique (...) -
La sauvegarde automatique de canaux SPIP
1er avril 2010, parDans le cadre de la mise en place d’une plateforme ouverte, il est important pour les hébergeurs de pouvoir disposer de sauvegardes assez régulières pour parer à tout problème éventuel.
Pour réaliser cette tâche on se base sur deux plugins SPIP : Saveauto qui permet une sauvegarde régulière de la base de donnée sous la forme d’un dump mysql (utilisable dans phpmyadmin) mes_fichiers_2 qui permet de réaliser une archive au format zip des données importantes du site (les documents, les éléments (...)
Sur d’autres sites (10535)
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dnn/vf_dnn_detect.c : add tensorflow output parse support
6 mai 2021, par Ting Fudnn/vf_dnn_detect.c : add tensorflow output parse support
Testing model is tensorflow offical model in github repo, please refer
https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/tf2_detection_zoo.md
to download the detect model as you need.
For example, local testing was carried on with 'ssd_mobilenet_v2_coco_2018_03_29.tar.gz', and
used one image of dog in
https://github.com/tensorflow/models/blob/master/research/object_detection/test_images/image1.jpgTesting command is :
./ffmpeg -i image1.jpg -vf dnn_detect=dnn_backend=tensorflow:input=image_tensor:output=\
"num_detections&detection_scores&detection_classes&detection_boxes":model=ssd_mobilenet_v2_coco.pb,\
showinfo -f null -We will see the result similar as below :
[Parsed_showinfo_1 @ 0x33e65f0] side data - detection bounding boxes :
[Parsed_showinfo_1 @ 0x33e65f0] source : ssd_mobilenet_v2_coco.pb
[Parsed_showinfo_1 @ 0x33e65f0] index : 0, region : (382, 60) -> (1005, 593), label : 18, confidence : 9834/10000.
[Parsed_showinfo_1 @ 0x33e65f0] index : 1, region : (12, 8) -> (328, 549), label : 18, confidence : 8555/10000.
[Parsed_showinfo_1 @ 0x33e65f0] index : 2, region : (293, 7) -> (682, 458), label : 1, confidence : 8033/10000.
[Parsed_showinfo_1 @ 0x33e65f0] index : 3, region : (342, 0) -> (690, 325), label : 1, confidence : 5878/10000.There are two boxes of dog with cores 94.05% & 93.45% and two boxes of person with scores 80.33% & 58.78%.
Signed-off-by : Ting Fu <ting.fu@intel.com>
Signed-off-by : Guo, Yejun <yejun.guo@intel.com> -
ffmpeg how to add mkv to formats
30 décembre 2015, par Mahmoud Saadhello after installing ffmpeg in my linux server with centos 6 after searching google i run ffmpeg -formats so i need to add mkv i know i will need to recompile ffmpeg but i do not know how to do it
thank youFile formats:
D. = Demuxing supported
.E = Muxing supported
--
E 3g2 3GP2 format
E 3gp 3GP format
D 4xm 4X Technologies format
D IFF IFF format
D ISS Funcom ISS format
D MTV MTV format
DE RoQ raw id RoQ format
D aac raw ADTS AAC
DE ac3 raw AC-3
E adts ADTS AAC
D aea MD STUDIO audio
DE aiff Audio IFF
DE alaw PCM A-law format
DE alsa ALSA audio output
DE amr 3GPP AMR file format
D anm Deluxe Paint Animation
D apc CRYO APC format
D ape Monkey's Audio
DE asf ASF format
E asf_stream ASF format
DE ass SSA/ASS format
DE au SUN AU format
DE avi AVI format
E avm2 Flash 9 (AVM2) format
D avs AVS format
D bethsoftvid Bethesda Softworks VID format
D bfi Brute Force & Ignorance
D bink Bink
D c93 Interplay C93
D caf Apple Core Audio Format
D cavsvideo raw Chinese AVS video
D cdg CD Graphics Format
E crc CRC testing format
DE daud D-Cinema audio format
DE dirac raw Dirac
DE dnxhd raw DNxHD (SMPTE VC-3)
D dsicin Delphine Software International CIN format
DE dts raw DTS
DE dv DV video format
D dv1394 DV1394 A/V grab
E dvd MPEG-2 PS format (DVD VOB)
D dxa DXA
D ea Electronic Arts Multimedia Format
D ea_cdata Electronic Arts cdata
DE eac3 raw E-AC-3
DE f32be PCM 32 bit floating-point big-endian format
DE f32le PCM 32 bit floating-point little-endian format
DE f64be PCM 64 bit floating-point big-endian format
DE f64le PCM 64 bit floating-point little-endian format
DE ffm FFM (FFserver live feed) format
D film_cpk Sega FILM/CPK format
DE filmstrip Adobe Filmstrip
DE flac raw FLAC
D flic FLI/FLC/FLX animation format
DE flv FLV format
E framecrc framecrc testing format
E gif GIF Animation
D gsm raw GSM
DE gxf GXF format
DE h261 raw H.261
DE h263 raw H.263
DE h264 raw H.264 video format
D idcin id Cinematic format
DE image2 image2 sequence
DE image2pipe piped image2 sequence
D ingenient raw Ingenient MJPEG
D ipmovie Interplay MVE format
E ipod iPod H.264 MP4 format
D iv8 A format generated by IndigoVision 8000 video server
D libdc1394 dc1394 v.2 A/V grab
D lmlm4 lmlm4 raw format
DE m4v raw MPEG-4 video format
DE matroska Matroska file format
DE mjpeg raw MJPEG video
DE mlp raw MLP
D mm American Laser Games MM format
DE mmf Yamaha SMAF
E mov MOV format
D mov,mp4,m4a,3gp,3g2,mj2 QuickTime/MPEG-4/Motion JPEG 2000 format
E mp2 MPEG audio layer 2
DE mp3 MPEG audio layer 3
E mp4 MP4 format
D mpc Musepack
D mpc8 Musepack SV8
DE mpeg MPEG-1 System format
E mpeg1video raw MPEG-1 video
E mpeg2video raw MPEG-2 video
DE mpegts MPEG-2 transport stream format
D mpegtsraw MPEG-2 raw transport stream format
D mpegvideo raw MPEG video
E mpjpeg MIME multipart JPEG format
D msnwctcp MSN TCP Webcam stream
DE mulaw PCM mu-law format
D mvi Motion Pixels MVI format
DE mxf Material eXchange Format
E mxf_d10 Material eXchange Format, D-10 Mapping
D nc NC camera feed format
D nsv Nullsoft Streaming Video
E null raw null video format
DE nut NUT format
D nuv NuppelVideo format
DE ogg Ogg
D oma Sony OpenMG audio
DE oss Open Sound System playback
E psp PSP MP4 format
D psxstr Sony Playstation STR format
D pva TechnoTrend PVA file and stream format
D qcp QCP format
D r3d REDCODE R3D format
DE rawvideo raw video format
E rcv VC-1 test bitstream
D rl2 RL2 format
DE rm RealMedia format
D rpl RPL/ARMovie format
E rtp RTP output format
DE rtsp RTSP output format
DE s16be PCM signed 16 bit big-endian format
DE s16le PCM signed 16 bit little-endian format
DE s24be PCM signed 24 bit big-endian format
DE s24le PCM signed 24 bit little-endian format
DE s32be PCM signed 32 bit big-endian format
DE s32le PCM signed 32 bit little-endian format
DE s8 PCM signed 8 bit format
D sdp SDP
D shn raw Shorten
D siff Beam Software SIFF
D smk Smacker video
D sol Sierra SOL format
DE sox SoX native format
E spdif IEC958 - S/PDIF (IEC-61937)
E svcd MPEG-2 PS format (VOB)
DE swf Flash format
D thp THP
D tiertexseq Tiertex Limited SEQ format
D tmv 8088flex TMV
DE truehd raw TrueHD
D tta True Audio
D txd Renderware TeXture Dictionary
DE u16be PCM unsigned 16 bit big-endian format
DE u16le PCM unsigned 16 bit little-endian format
DE u24be PCM unsigned 24 bit big-endian format
DE u24le PCM unsigned 24 bit little-endian format
DE u32be PCM unsigned 32 bit big-endian format
DE u32le PCM unsigned 32 bit little-endian format
DE u8 PCM unsigned 8 bit format
D vc1 raw VC-1
D vc1test VC-1 test bitstream format
E vcd MPEG-1 System format (VCD)
D video4linux Video4Linux device grab
D video4linux2 Video4Linux2 device grab
D vmd Sierra VMD format
E vob MPEG-2 PS format (VOB)
DE voc Creative Voice file format
D vqf Nippon Telegraph and Telephone Corporation (NTT) TwinVQ
D w64 Sony Wave64 format
DE wav WAV format
D wc3movie Wing Commander III movie format
E webm WebM file format
D wsaud Westwood Studios audio format
D wsvqa Westwood Studios VQA format
D wv WavPack
D x11grab X11grab
D xa Maxis XA File Format
D yop Psygnosis YOP Format
DE yuv4mpegpipe YUV4MPEG pipe format -
Open CV Codec FFMPEG Error fallback to use tag 0x7634706d/'mp4v'
22 mai 2019, par CohenDoing a filter recording and all is fine. The code is running, but at the end the video is not saved as MP4. I have this error :
OpenCV: FFMPEG: tag 0x44495658/'XVID' is not supported with codec id 12 and format 'mp4 / MP4 (MPEG-4 Part 14)'
OpenCV: FFMPEG: fallback to use tag 0x7634706d/'mp4v'Using a MAC and the code is running correctly, but is not saving. I tried to find more details about this error, but wasn’t so fortunate. I use as editor Sublime. The code run on Atom tough but is giving this error :
OpenCV: FFMPEG: tag 0x44495658/'XVID' is not supported with codec id 12 and format 'mp4 / MP4 (MPEG-4 Part 14)'
OpenCV: FFMPEG: fallback to use tag 0x7634706d/'mp4v'
2018-05-28 15:04:25.274 Python[17483:2224774] AVF: AVAssetWriter status: Cannot create file....
import numpy as np
import cv2
import random
from utils import CFEVideoConf, image_resize
import glob
import math
cap = cv2.VideoCapture(0)
frames_per_seconds = 24
save_path='saved-media/filter.mp4'
config = CFEVideoConf(cap, filepath=save_path, res='360p')
out = cv2.VideoWriter(save_path, config.video_type, frames_per_seconds, config.dims)
def verify_alpha_channel(frame):
try:
frame.shape[3] # looking for the alpha channel
except IndexError:
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2BGRA)
return frame
def apply_hue_saturation(frame, alpha, beta):
hsv_image = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
h, s, v = cv2.split(hsv_image)
s.fill(199)
v.fill(255)
hsv_image = cv2.merge([h, s, v])
out = cv2.cvtColor(hsv_image, cv2.COLOR_HSV2BGR)
frame = verify_alpha_channel(frame)
out = verify_alpha_channel(out)
cv2.addWeighted(out, 0.25, frame, 1.0, .23, frame)
return frame
def apply_color_overlay(frame, intensity=0.5, blue=0, green=0, red=0):
frame = verify_alpha_channel(frame)
frame_h, frame_w, frame_c = frame.shape
sepia_bgra = (blue, green, red, 1)
overlay = np.full((frame_h, frame_w, 4), sepia_bgra, dtype='uint8')
cv2.addWeighted(overlay, intensity, frame, 1.0, 0, frame)
return frame
def apply_sepia(frame, intensity=0.5):
frame = verify_alpha_channel(frame)
frame_h, frame_w, frame_c = frame.shape
sepia_bgra = (20, 66, 112, 1)
overlay = np.full((frame_h, frame_w, 4), sepia_bgra, dtype='uint8')
cv2.addWeighted(overlay, intensity, frame, 1.0, 0, frame)
return frame
def alpha_blend(frame_1, frame_2, mask):
alpha = mask/255.0
blended = cv2.convertScaleAbs(frame_1*(1-alpha) + frame_2*alpha)
return blended
def apply_circle_focus_blur(frame, intensity=0.2):
frame = verify_alpha_channel(frame)
frame_h, frame_w, frame_c = frame.shape
y = int(frame_h/2)
x = int(frame_w/2)
mask = np.zeros((frame_h, frame_w, 4), dtype='uint8')
cv2.circle(mask, (x, y), int(y/2), (255,255,255), -1, cv2.LINE_AA)
mask = cv2.GaussianBlur(mask, (21,21),11 )
blured = cv2.GaussianBlur(frame, (21,21), 11)
blended = alpha_blend(frame, blured, 255-mask)
frame = cv2.cvtColor(blended, cv2.COLOR_BGRA2BGR)
return frame
def portrait_mode(frame):
cv2.imshow('frame', frame)
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
_, mask = cv2.threshold(gray, 120,255,cv2.THRESH_BINARY)
mask = cv2.cvtColor(mask, cv2.COLOR_GRAY2BGRA)
blured = cv2.GaussianBlur(frame, (21,21), 11)
blended = alpha_blend(frame, blured, mask)
frame = cv2.cvtColor(blended, cv2.COLOR_BGRA2BGR)
return frame
def apply_invert(frame):
return cv2.bitwise_not(frame)
while(True):
# Capture frame-by-frame
ret, frame = cap.read()
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2BGRA)
#cv2.imshow('frame',frame)
hue_sat = apply_hue_saturation(frame.copy(), alpha=3, beta=3)
cv2.imshow('hue_sat', hue_sat)
sepia = apply_sepia(frame.copy(), intensity=.8)
cv2.imshow('sepia',sepia)
color_overlay = apply_color_overlay(frame.copy(), intensity=.8, red=123, green=231)
cv2.imshow('color_overlay',color_overlay)
invert = apply_invert(frame.copy())
cv2.imshow('invert', invert)
blur_mask = apply_circle_focus_blur(frame.copy())
cv2.imshow('blur_mask', blur_mask)
portrait = portrait_mode(frame.copy())
cv2.imshow('portrait',portrait)
if cv2.waitKey(20) & 0xFF == ord('q'):
break
# When everything done, release the capture
cap.release()
cv2.destroyAllWindows()
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