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GetID3 - Bloc informations de fichiers
9 avril 2013, par
Mis à jour : Mai 2013
Langue : français
Type : Image
Autres articles (111)
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MediaSPIP v0.2
21 juin 2013, parMediaSPIP 0.2 is the first MediaSPIP stable release.
Its official release date is June 21, 2013 and is announced here.
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 (...) -
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 (...) -
Encoding and processing into web-friendly formats
13 avril 2011, parMediaSPIP automatically converts uploaded files to internet-compatible formats.
Video files are encoded in MP4, Ogv and WebM (supported by HTML5) and MP4 (supported by Flash).
Audio files are encoded in MP3 and Ogg (supported by HTML5) and MP3 (supported by Flash).
Where possible, text is analyzed in order to retrieve the data needed for search engine detection, and then exported as a series of image files.
All uploaded files are stored online in their original format, so you can (...)
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Revision 37300 : On documente cet inclure On lui ajoute une option et on corrige certaines ...
15 avril 2010, par kent1@… — LogOn documente cet inclure
On lui ajoute une option et on corrige certaines erreurs -
Cortex-A7 instruction cycle timings
15 mai 2014, par Mans — ARMThe Cortex-A7 ARM core is a popular choice in low-power and low-cost designs. Unfortunately, the public TRM does not include instruction timing information. It does reveal that execution is in-order which makes measuring the throughput and latency for individual instructions relatively straight-forward.
The table below lists the measured issue cycles (inverse throughput) and result latency of some commonly used instructions.
It should be noted that in some cases, the perceived latency depends on the instruction consuming the result. Most of the values were measured with the result used as input to the same instruction. For instructions with multiple outputs, the latencies of the result registers may also differ.
Finally, although instruction issue is in-order, completion is out of order, allowing independent instructions to issue and complete unimpeded while a multi-cycle instruction is executing in another unit. For example, a 3-cycle MUL instruction does not block ADD instructions following it in program order.
ALU instructions Issue cycles Result latency MOV Rd, Rm 1/2 1 ADD Rd, Rn, #imm 1/2 1 ADD Rd, Rn, Rm 1 1 ADD Rd, Rn, Rm, LSL #imm 1 1 ADD Rd, Rn, Rm, LSL Rs 1 1 LSL Rd, Rn, #imm 1 2 LSL Rd, Rn, Rs 1 2 QADD Rd, Rn, Rm 1 2 QADD8 Rd, Rn, Rm 1 2 QADD16 Rd, Rn, Rm 1 2 CLZ Rd, Rm 1 1 RBIT Rd, Rm 1 2 REV Rd, Rm 1 2 SBFX Rd, Rn 1 2 BFC Rd, #lsb, #width 1 2 BFI Rd, Rn, #lsb, #width 1 2 NOTE : Shifted operands and shift amounts needed one cycle early. Multiply instructions Issue cycles Result latency MUL Rd, Rn, Rm 1 3 MLA Rd, Rn, Rm, Ra 1 31 SMULL Rd, RdHi, Rn, Rm 1 3 SMLAL Rd, RdHi, Rn, Rm 1 31 SMMUL Rd, Rn, Rm 1 3 SMMLA Rd, Rn, Rm, Ra 1 31 SMULBB Rd, Rn, Rm 1 3 SMLABB Rd, Rn, Rm, Ra 1 31 SMULWB Rd, Rn, Rm 1 3 SMLAWB Rd, Rn, Rm, Ra 1 31 SMUAD Rd, Rn, Rm 1 3 1 Accumulator forwarding allows back to back MLA instructions without delay. Divide instructions Issue cycles Result latency SDIV Rd, Rn, Rm 4-20 6-22 UDIV Rd, Rn, Rm 3-19 5-21 Load/store instructions Issue cycles Result latency LDR Rt, [Rn] 1 3 LDR Rt, [Rn, #imm] 1 3 LDR Rt, [Rn, Rm] 1 3 LDR Rt, [Rn, Rm, lsl #imm] 1 3 LDRD Rt, Rt2, [Rn] 1 3-4 LDM Rn, regs 1-8 3-10 STR Rt, [Rn] 1 2 STRD Rt, Rt2, [Rn] 1 2 STM Rn, regs 1-10 2-12 NOTE : Load results are forwarded to dependent stores without delay. VFP instructions Issue cycles Result latency VMOV.F32 Sd, Sm 1 4 VMOV.F64 Dd, Dm 1 4 VNEG.F32 Sd, Sm 1 4 VNEG.F64 Dd, Dm 1 4 VABS.F32 Sd, Sm 1 4 VABS.F64 Dd, Dm 1 4 VADD.F32 Sd, Sn, Sm 1 4 VADD.F64 Dd, Dn, Dm 1 4 VMUL.F32 Sd, Sn, Sm 1 4 VMUL.F64 Dd, Dn, Dm 4 7 VMLA.F32 Sd, Sn, Sm 1 81 VMLA.F64 Dd, Dn, Dm 4 112 VFMA.F32 Sd, Sn, Sm 1 81 VFMA.F64 Dd, Dn, Dm 5 82 VDIV.F32 Sd, Sn, Sm 15 18 VDIV.F64 Dd, Dn, Dm 29 32 VSQRT.F32 Sd, Sm 14 17 VSQRT.F64 Dd, Dm 28 31 VCVT.F32.F64 Sd, Dm 1 4 VCVT.F64.F32 Dd, Sm 1 4 VCVT.F32.S32 Sd, Sm 1 4 VCVT.F64.S32 Dd, Sm 1 4 VCVT.S32.F32 Sd, Sm 1 4 VCVT.S32.F64 Sd, Dm 1 4 VCVT.F32.S32 Sd, Sd, #fbits 1 4 VCVT.F64.S32 Dd, Dd, #fbits 1 4 VCVT.S32.F32 Sd, Sd, #fbits 1 4 VCVT.S32.F64 Dd, Dd, #fbits 1 4 1 5 cycles with dependency only on accumulator.
2 8 cycles with dependency only on accumulator.NEON integer instructions Issue cycles Result latency VADD.I8 Dd, Dn, Dm 1 4 VADDL.S8 Qd, Dn, Dm 2 4 VADD.I8 Qd, Qn, Qm 2 4 VMUL.I8 Dd, Dn, Dm 2 4 VMULL.S8 Qd, Dn, Dm 2 4 VMUL.I8 Qd, Qn, Qm 4 4 VMLA.I8 Dd, Dn, Dm 2 4 VMLAL.S8 Qd, Dn, Dm 2 4 VMLA.I8 Qd, Qn, Qm 4 4 VADD.I16 Dd, Dn, Dm 1 4 VADDL.S16 Qd, Dn, Dm 2 4 VADD.I16 Qd, Qn, Qm 2 4 VMUL.I16 Dd, Dn, Dm 1 4 VMULL.S16 Qd, Dn, Dm 2 4 VMUL.I16 Qd, Qn, Qm 2 4 VMLA.I16 Dd, Dn, Dm 1 4 VMLAL.S16 Qd, Dn, Dm 2 4 VMLA.I16 Qd, Qn, Qm 2 4 VADD.I32 Dd, Dn, Dm 1 4 VADDL.S32 Qd, Dn, Dm 2 4 VADD.I32 Qd, Qn, Qm 2 4 VMUL.I32 Dd, Dn, Dm 2 4 VMULL.S32 Qd, Dn, Dm 2 4 VMUL.I32 Qd, Qn, Qm 4 4 VMLA.I32 Dd, Dn, Dm 2 4 VMLAL.S32 Qd, Dn, Dm 2 4 VMLA.I32 Qd, Qn, Qm 4 4 NEON floating-point instructions Issue cycles Result latency VADD.F32 Dd, Dn, Dm 2 4 VADD.F32 Qd, Qn, Qm 4 4 VMUL.F32 Dd, Dn, Dm 2 4 VMUL.F32 Qd, Qn, Qm 4 4 VMLA.F32 Dd, Dn, Dm 2 81 VMLA.F32 Qd, Qn, Qm 4 81 1 5 cycles with dependency only on accumulator. NEON permute instructions Issue cycles Result latency VEXT.n Dd, Dn, Dm, #imm 1 4 VEXT.n Qd, Qn, Qm, #imm 2 5 VTRN.n Dd, Dn, Dm 2 5 VTRN.n Qd, Qn, Qm 4 5 VUZP.n Dd, Dn, Dm 2 5 VUZP.n Qd, Qn, Qm 4 6 VZIP.n Dd, Dn, Dm 2 5 VZIP.n Qd, Qn, Qm 4 6 VTBL.8 Dd, Dn, Dm 1 4 VTBL.8 Dd, Dn-Dn+1, Dm 1 4 VTBL.8 Dd, Dn-Dn+2, Dm 2 5 VTBL.8 Dd, Dn-Dn+3, Dm 2 5 -
Running a py script in the Cloud
12 janvier 2018, par Anay BoseI’m new to Google’s cloud & Virtual Machine(VM) instances, and I need some clarifications on a couple of points. I have a python script ; it imports a long range of functions. I need to run those functions in parallel. I’m using multiprocessing and Process, not threads. These functions are basically image and media processors, and they use many other tools like FFMPEG, imagemagick and Avisynth in addition to a wide range of python modules, including moviepy. Now, I would like to run some 50 functions in parallel assigning a CPU for each process. Images, media and avi files are stored in seperate folders. I’m on Windows7 Core-i7 machine. So, need cloud computing power.
Now, my question can I run such a python script/app in the cloud that requires a very complicated file system and non-python tools i.e. ffmpeg, avisynth and avi files ?
Can Google VMs emulate my local machine and empower me with more cores and memory to run such a program ? if not, then what are my options ? Is their any tutorials that I can follow ? I need your suggestions. I have given below an example script and some codes to help facilitate your understanding about my situation.
from __future__ import unicode_literals
import youtube_dl
import os
import time
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
from multiprocessing import Process
from utils import *
from clip31 import VIDEO31
from clip32 import VIDEO32
from clip189 import VIDEO189
from clip16 import VIDEO16
from clip39 import VIDEO39
if __name__== '__main__':
# 1. CALLING A FUNCTION
folder = "bodyforce3\\16"
serial = "16"
images = get_filepaths("../16")
videos = get_filepaths("12__media")
pngs = get_filepaths("../pngs")
Process(target=VIDEO192, args=(folder, serial, color1, color2, color3, images, videos)).start()
# 2. CALLING A FUNCTION
folder = "bodyforce3\\20"
serial = "20"
images = get_filepaths("../20")
videos = get_filepaths("18__media")
Process(target=VIDEO32, args=(folder, serial, color1, color2, color3, images, videos)).start()
# 3. CALLING A FUNCTION
folder = "bodyforce3\\14"
serial = "14"
images = get_filepaths("../14")
videos = get_filepaths("16__media")
Process(target=VIDEO91, args=(folder, serial, color1, color2, color3, images, videos)).start()I copy avi files in functions like this :
src = "clip50_files"
src_files = os.listdir(src)
for file_name in src_files:
full_file_name = os.path.join(src, file_name)
if (os.path.isfile(full_file_name)):
shutil.copy(full_file_name, folder)I call ffmpeg commands like this, and they are included within py functions.
###########################
#### FFMPEG OPERATIONS ####
###########################
print "Starting FFMPEG operations ..."
if os.path.isfile(os.path.join(folder, "bounce-(3).avi")):
os.remove(os.path.join(folder, "bounce-(3).avi"))
infile = folder + "/bounce-(3).avs"
outfile = folder + "/bounce-(3).avi"
codec = "rawvideo"
pix_fmt = "bgra"
try:
subprocess.call(["ffmpeg",
"-i" ,infile,
"-c:v" ,codec,
"-pix_fmt", pix_fmt,
outfile],
stdout=open(os.devnull, 'w'),
stderr=subprocess.STDOUT)
except subprocess.CalledProcessError as e:
#except subprocess.CalledProcessError as e:
sys.exit(e.output)
except OSError as e:
sys.exit(e.strerror)
print "FFMPEG operations ended"