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reprise du code et renommages

rep 4 years ago
27 changed files with 1136 additions and 4 deletions
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      IMG_SRC/PANORAMIQUES/IMG_6038_panoramique - IMG_6046_panoramique.pto
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      IMG_SRC/PANORAMIQUES/IMG_6038_panoramique - IMG_6046_panoramique.tif
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      IMG_SRC/PANORAMIQUES/IMG_6038_panoramique - IMG_6046_panoramique2.tif
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# coding: utf-8
import Image
import sys
import ImageDraw
from PIL.Image import composite,LINEAR
from datetime import datetime
dt =
im1 =[1])).convert('RGBA')
im2 =[2])).convert('RGBA')
im3 ="1", (512,512), "white")
draw = ImageDraw.Draw(im3)
draw.ellipse(((100,100),(200,200)), fill="black")
draw.ellipse(((180,180),(300,300)), fill="black")
scriptpy = str(sys.argv[1])
script = scriptpy[:-4]
heure = str(dt.hour)+"h"+str(dt.minute)+"m"+str(dt.second)+"s"+str(dt.microsecond)+"ms"
im1.paste(im2, im3)".1.alpha."+heure+".png",'PNG', quality=100)".2.alpha."+heure+".png",'PNG', quality=100)".3.alpha."+heure+".png",'PNG', quality=100)

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# -*- coding: utf-8 -*-
import sys
import Image
import random
import os
import ImageDraw
import ImageFont
import ImageFilter
from time import gmtime, strftime
# modifs du 30/10/2013
import ImageEnhance
im1 =[1]))
im1 = im1.convert('RGB')
'''for i in range(40):
im1 = im1.filter(ImageFilter.BLUR)
#operation 'degoulinage', pixel par pixel
imagesource = im1
imagedest = im1
for i in range (60000) :
posrandX = random.randint(1, imagesource.size[0]-1)
posrandY = random.randint(1, imagesource.size[1]-55)
pixelRGB = imagesource.getpixel((posrandX,posrandY))
for Y in range (1, 49) :
imagedest.putpixel((posrandX, posrandY + random.randint(1,Y)+5), pixelRGB)"test.jpg"+strftime("%Y-%m-%d-%Hh%Mm%Ss", gmtime())+".jpg",quality=100)
#collage de l'image résultante dans une image 1bit
im4 ="1", (im1.size[0], im1.size[1]))
im4.paste(im1, (0, 0, im1.size[0], im1.size[1]))
# CTRL + S"griis-out-"+strftime("%Y-%m-%d-%Hh%Mm%Ss", gmtime())+".jpg",quality=100)
box = (30, 30, 110, 110)
sample = image.crop(box)
for i in range(10): # with the BLUR filter, you can blur a few times to get the effect you're seeking
sample = sample.filter(ImageFilter.BLUR)
image.paste(sample, box)

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# coding: utf-8
import sys
import Image
import random
import os
import ImageDraw
import ImageFont
import ImageFilter
import time
import ImageEnhance
import pickle
from datetime import datetime
dt =
heure = str(dt.hour)+"h"+str(dt.minute)+"m"+str(dt.second)+"s"+str(dt.microsecond)+"ms"
print dt
allongement = 3
im1 =[1])).convert('RGBA')
im2 ="RGBA",(im1.size[0], im1.size[1]))
im3 ="RGBA",(im1.size[0], im1.size[1]))
im4 ="RGBA",(im1.size[0], im1.size[1]))
im5 ="RGBA",(im1.size[0], im1.size[1]))
im6 ="RGBA",(im1.size[0]*allongement, im1.size[1]))
im7 ="RGBA",(im1.size[0], im1.size[1]), "white") # masque alpha
Larg = im1.size[0]
Haut = im1.size[1]
loadfile = False
scriptpy = str(sys.argv[1])
script = scriptpy[:-4]
def randHaut():
return random.randint(0, im1.size[1]/16)*16
randomCoupeHauteur1 = [0, \
randHaut(),randHaut(),randHaut(),randHaut(), \
randHaut(),randHaut(),randHaut(),randHaut(), \
randHaut(),randHaut(),randHaut(),randHaut(), \
randHaut(),randHaut(),randHaut(),randHaut(), \
randHaut(),randHaut(),randHaut(),randHaut(), \
randHaut(),randHaut(),randHaut(),randHaut(), \
print randomCoupeHauteur1
randomCoupeHauteur = set(randomCoupeHauteur1)
randomCoupeHauteur = list(randomCoupeHauteur)
print randomCoupeHauteur
print randomCoupeHauteur
def Hacheur(haut, bas) :
n = 0
i = 0
while n<im6.size[0] :
loop = 0
proportions = [\
# (2,2),(2,4),(2,5),(2,8),(2,16),(2,32),\
# (4,4),(4,5),(4,8),(4,16),(4,32),(4,64),\
# (8,3),(8,5),(8,8),(8,16),(8,32),\
choix_rnd = random.randint(0, len(proportions)-1)
largeur = proportions[choix_rnd][0]
copyPosX = random.randint(0, (im1.size[0]-largeur))
largeur = proportions[choix_rnd][0]
repeat = proportions[choix_rnd][1]
pixelSizeList = [1]
#pixelSizeList = [1, 1, 1, 1, 2, 2, 4, 8, 16, 32, 64, 128, 256]
#pixelSizeList = [1,5,25,125]
pixelSizeIndex = random.randint(0,len(pixelSizeList)-1)
pixelSize = pixelSizeList[pixelSizeIndex]
hauteur = bas-haut
cropfinal = [largeur,hauteur]
im2 = im1.crop((copyPosX,haut,copyPosX+largeur,haut+hauteur))
im3 = im2.resize((im2.size[0]/pixelSize, im2.size[1]/pixelSize), Image.NEAREST)
im4 = im3.resize((im3.size[0]*pixelSize, im3.size[1]*pixelSize), Image.NEAREST)
im5 = im4.crop((0,0,cropfinal[0],cropfinal[1]))
im7 ="1", (cropfinal[0],cropfinal[1]), "black")
l = im7.size[0]
h = im7.size[1]
im7draw = ImageDraw.Draw(im7)
n1 = 0
ecart = 3
tranches = h / ecart
while n1 < tranches :
rx = random.randint(0,l/2)
n1 = n1 + 1
while loop<repeat:
px1 = n
px2 = n + cropfinal[0]
im6.paste(im5, (px1, haut, px2, bas), im7)
n = n + l/2
loop = loop + 1
n = n - im7.size[0]/2
for j in range(len(randomCoupeHauteur)-1):
Hacheur(randomCoupeHauteur[j], randomCoupeHauteur[j+1])
#TODO : inclure version du script + taille finale image
#im6.putalpha(255)"."+heure+".png",'PNG', quality=100)

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# coding: utf-8
def pr3nt():
print hello
import sys
import Image
import random
import os
import ImageDraw
import ImageFont
import ImageFilter
from time import gmtime, strftime
from datetime import datetime
dt =
heure = str(dt.hour)+"h"+str(dt.minute)+"m"+str(dt.second)+"s"+str(dt.microsecond)+"ms"
image ="RGBA",(512,512), "black")
h = image.size[0]
l = image.size[1]
motif = ImageDraw.Draw(image)
def motifs(image):
n = 0
ecart = 20
tranches = h / ecart
while n < tranches :
rx = random.randint(0,l/2)
n = n + 1
motifs(motif)".png",'PNG', quality=100)

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# coding: utf-8
import Image, sys
from time import gmtime, strftime
im1 =[1]))
largeur = im1.size[0]
hauteur = im1.size[1]
crop = hauteur * 3 / 4
nb = largeur/crop
# print infos image
print "dimensions : %d * %d pix" % (largeur, hauteur)
print "crop : %d, nb = largeur/crop = %d" % (crop, nb)
i = 0
x1 = y1 = 0
x2 = crop
y2 = hauteur
scriptpy = str(sys.argv[1])
script = scriptpy[:-3]
while i < nb :
#print infos crop
print "x1 %d" % x1
print "y1 %d" % y1
print "x2 %d" % x2
print "y2 %d" % y2
im2 = im1.crop((x1,y1,x2,y2))".crop."+str(crop)+"."+strftime("%Y%m%d-%Hh%Mm%Ss", gmtime())+"._"+str(i)+"_.png",'PNG', quality=100)
#incr boucle
x1 = x1 + crop
x2 = x2 + crop
i = i +1

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# coding: utf-8
# sys.popen youtube.dl
youtube-dl $1
# rename file
sys.popen("mv $1 $2")
# mosaique
ffmpeg -i drone.mp4 -vf fps=30 ./drone/img%03d.jpg
import sys # sys.argv[]
import Image #
import os # os.getcwd
im1 =[1]))
width, height = im1.size
<<<<<<< HEAD
print "width =% 5.2i" % width
print "height =% 5.2i" % height
allongement = 8
im4 ="RGBA",(im1.size[0]*allongement, im1.size[1]))
print "width =% 5.2i" % width
print "height =% 5.2i" % height
allongement = 8
im4 ="RGBA",(im1.size[0]*allongement, im1.size[1]))
>>>>>>> adc56b0f751a338bfe5c843061889df049d4390b
for x in range(1,allongement+1):
print('%03.1i' % x)
script = os.getcwd()
print script
index = 1
allongement = 32 #4818
im1 ="./lila/img001.jpg")
im2 ="RGBA",(im1.size[0]*allongement, im1.size[1]))
largeur = im1.size[0]
for x in range(0,allongement):
positionx = 0
for y in range(1,33):
z = x*allongement + y
im1 ="./lila/img%03.1i.jpg" % z)
im2.paste(im1, (positionx,0))
positionx = positionx + largeur"/"+str(x)+".2.png",'PNG', quality=100)
for x in range(0,allongement):
positionx = 0
for y in range(1,6):
z = x*10 + y
im1 ="./capt/img%03.1i.jpg" % z)
#print "z="+str(z)
im2.paste(im1, (positionx,positiony))
#print position
#print("./drone/img%03.1i.jpg" % x)
positionx = positionx + largeur
#print "px"+str(positionx)
positiony = positiony + hauteur
#print "py"+str(positiony)
#scriptpy = str(sys.argv[1])
#script = scriptpy[:-3]"/"+str(x)+".2.png",'PNG', quality=100)
1145 ffmpeg -i noir...png.mp4 noir...png.enscribe.norm.wav -c:a copy -c:v copy noir..HQ..mp4
1146 ffmpeg -i noir...png.mp4 -i noir...png.enscribe.norm.wav -c:a copy -c:v copy noir..HQ..mp4
1147 ffmpeg -i noir...png.mp4 -i noir...png.enscribe.norm.wav -c:a aac -c:v copy noir..HQ..mp4
1148 ffmpeg -i noir...png.mp4 -i noir...png.enscribe.norm.wav -c:a libfaac -c:v copy noir..HQ..mp4
1158 ffmpeg -i pylone3.png.mp4 -i pylone3.png.enscribe.norm.wav -c:a libfaac -c:v copy pylone3.HQ.mp4
1162 ffmpeg -i pylone3.HQ.mp4
1163 ffmpeg -i pylone3.png.mp4 -i pylone3.png.enscribe.norm.wav -c:a libfaac -c:v copy pylone3.HQ.mp4
1177 ffmpeg -i horizontal%d.png -i pylone3.png.enscribe.norm.wav -c:a libfaac -c:v libx264 -preset ultrafast -crf 32 final.mp4
1178 ffmpeg -i horizontal%d.png -i pylone3.png.enscribe.norm.wav -c:a libfaac -c:v libx264 -b:v 5000k final2.mp4
1179 ffmpeg -i horizontal%d.png -i pylone3.png.enscribe.norm.wav -c:a libfaac -c:v libx264 -vf format=gray -b:v 5000k final2.mp4
1180 ffmpeg -i horizontal%d.png -i pylone3.png.enscribe.norm.wav -c:a libfaac -c:v libx264 -vf format=gray -b:v 5000k final3.mp4
1181 ffmpeg -i horizontal%d.png -i pylone3.png.enscribe.norm.wav -c:a libfaac -c:v libx264 -pix_fmt monow final3.mp4
1182 ffmpeg -i horizontal%d.png -i pylone3.png.enscribe.norm.wav -c:a libfaac -c:v mjpeg -b:v 3000 final4.avi
1183 ffmpeg -q:v
1184 ffmpeg -q:v 0
1186 ffmpeg -pix_fmts
1265 ffmpeg -pix_fmts
1266 ffmpeg -pix_fmts | grep H
1321 history | grep ffmpeg
1323 nano ffmpeg_one_liner
1403 ffmpeg -i Ajja_Tulpa_Full_Album.webm -vn -ar 44100 -ac 2 -ab 192k -f mp3 Ajja_Tulpa_Full_Album.mp3
1404 ffmpeg -i Ajja_Tulpa_Full_Album.webm -vn -ar 44100 -ac 2 -ab 192k -acodec copy Ajja_Tulpa_Full_Album.ogg
1770 ffmpeg ffmpeg -i test0%4d.jpg -vcodec mjpeg out.avi
1771 ffmpeg -i test0%4d.jpg -vcodec mjpeg out.avi
1774 ffmpeg -i out.avi -c:v libvpx -crf 10 -b:v 2M -threads 4 out.webm
1916 ffmpeg -i drone.mp4 -vf fps=1 ./drone/img%03d.jpg
1917 ffmpeg -i drone.mp4 -vf fps=4 ./drone/img%03d.jpg
1918 ffmpeg -i drone.mp4 -vf fps=20 ./drone/img%03d.jpg
1922 ffmpeg -i drone.mp4 -vf fps=30 ./drone/img%03d.jpg
1943 ffmpeg -i drone.mp4 -vf fps=20 ./images_yatil/img%03d.jpg
1946 ffmpeg -i yatil.mkv -vf fps=1 ./images_yatil/img%03d.jpg
1952 ffmpeg -i final.mp4 -v:c h264 -a:c copy tintin.mpeg
1953 ffmpeg -i final.mp4 -v:c libvpx -a:c copy tintin.mpeg
1954 ffmpeg -i final.mp4 -v:c libvpx -a:c copy tintin.mpeg
1956 ffmpeg -i final.mp4 -c:v libvpx -crf 10 -b:v 2M -threads 4 final.webm
1958 ffmpeg -formats
1959 ffmpeg -formats | grep DE
1975 ffmpeg -i drone.mp4
2006 history | grep ffmpeg
2009 history | grep ffmpeg
index = 1
allongement = 300 #4818
im1 ="./drone/img001.jpg")
im2 ="RGBA",(im1.size[0]*allongement, im1.size[1]))
largeur = im1.size[0]
for x in range(0,allongement/10):
position = 0
for y in range(1,11):
im1 ="./drone/img%03.1i.jpg" % y)
im2.paste(im1, (position,0))
#print position
#print("./drone/img%03.1i.jpg" % x)
position = position + largeur
scriptpy = str(sys.argv[1])
script = scriptpy[:-3]"_"+str(x)+".png",'PNG', quality=100)

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# ------------- FILE INFO OUTPUT
file = $1
echo 'file : '+file
# ------------- RESIZE IMAGE (512, 1024, 2048, 4096 pixels de haut)
# donc de 5184*3456 pix à 1536*1024 pix par exemple
#convert $image_input -resize 768x512 $image_output_resize
# ------------- HACHAGE
#python ~/Projets/haacheur/ $image_output_resize
# ------------- HORIZONTAL
#convert -rotate 90 $image_input $image_output
# ------------- ENSCRIBE
# 1536 pixels / 25 fps = 61 secondes (durée fichier audio)
# enscribe -ts 1024 -hf 20 -o output.wav input.wav -mask /usr/local/share/horizontal/sounds/piano_7.flac -lenght $tailleImage/$fps
# enscribe -ts=1 -hf=20 -mask /usr/local/share/horizontal/sounds/piano-major7.flac -length=61.0 _MG_8817.out.2colors.tiff _MG_8817.out.2colors.tiff.wav
# enscribe retenu : sans mask, avec du hissing : -h, largeur image : 1024 -ts=1, sur une png 2 couleurs
#enscribe -ts=0 -length=30.72 image_input.jpg sound_output.enscribe.wav
#enscribe -ts=1 -h -length=61.0 -mask /usr/local/share/horizontal/sounds/alto-majormode.flac _MG_8817.out.2colors.png _MG_8817.out.2colors.png.61s.alto-majormode.wav
# normaliser l'audio, histoire d'avoir une amplitude (volume) optimale
#sox --norm sound_output.enscribe.wav sound_output.wav

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import os, sys, Image, ImageDraw, ImageColor
from time import gmtime, strftime
#im1 ='1')
im1 =
im2 = im1.copy()
im3 = im1.copy()
draw = ImageDraw.Draw(im2)
except IOError:
print "Erreur : fichier manquant", infile
date = strftime("%Y%m%d-%Hh%Mm%Ss", gmtime())
while x < im1.size[0] :
y = 0
while y < im1.size[1] :
colorpixel = im1.getpixel((x,y))
draw.line((0, y, im2.size[0], y) , fill=colorpixel)
draw.line((x, 0, x, im2.size[1]-1), fill=1)
y = y + 1
# ALPHA tout bete :
im3 = Image.blend(im1, im2, 0.8)
n = "%05d" % x
nomdefichier = "horizontal"+n+".png", "PNG")
print nomdefichier
x = x + 1
del draw
# audio + video
#os.system("ffmpeg -i horizontal%05d.png -i "+fichier+".enscribe.norm.wav -c:a libfaac -c:v libx264 -preset ultrafast -crf 32 "+fichier+".final.mp4")
# video seule
os.system("ffmpeg -i horizontal%05d.png -c:v libx264 -preset ultrafast -crf 32 "+fichier+"")
print " OUTPUT FINAL : "+fichier+""
# Nettoyage
#os.system("rm horizontal*.png")

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IMG_SRC/IMG_4190.JPG View File

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# hugin project file
#hugin_ptoversion 2
p f2 w13292 h5521 v195 E13.9128 R0 S103,13025,248,4555 n"TIFF_m c:LZW r:CROP"
m g1 i0 f0 m2 p0.00784314
# image lines
#-hugin cropFactor=1.57033
i w3456 h5184 f0 v48.04396619621 Ra-2.86424684524536 Rb1.23315286636353 Rc-0.0984228998422623 Rd0.282287895679474 Re-0.0308591909706593 Eev13.9433503215031 Er1 Eb1 r0.753672998610233 p4.88229759582812 y-72.3227130059661 TrX0 TrY0 TrZ0 Tpy0 Tpp0 j0 a0 b-0.00723177623032044 c0 d0 e0 g0 t0 Va1 Vb-0.125545501942763 Vc0.0297098805006692 Vd-0.080144503105947 Vx0 Vy0 Vm5 n"IMG_6038_panoramique.JPG"
#-hugin cropFactor=1.5703308517507
i w3456 h5184 f0 v=0 Ra=0 Rb=0 Rc=0 Rd=0 Re=0 Eev14.1119201671745 Er1.01400061645181 Eb0.97876423868998 r0.0583860063023377 p4.44414398258613 y-51.2956987603616 TrX0 TrY0 TrZ0 Tpy0 Tpp0 j0 a=0 b=0 c=0 d=0 e=0 g=0 t=0 Va=0 Vb=0 Vc=0 Vd=0 Vx=0 Vy=0 Vm5 n"IMG_6039_panoramique.JPG"
#-hugin cropFactor=1.5703308517507
i w3456 h5184 f0 v=0 Ra=0 Rb=0 Rc=0 Rd=0 Re=0 Eev14.1074465169566 Er0.999377024007792 Eb0.973583459636295 r-0.551071531254118 p3.83303563606199 y-32.6101870330387 TrX0 TrY0 TrZ0 Tpy0 Tpp0 j0 a=0 b=0 c=0 d=0 e=0 g=0 t=0 Va=0 Vb=0 Vc=0 Vd=0 Vx=0 Vy=0 Vm5 n"IMG_6040_panoramique.JPG"
#-hugin cropFactor=1.5703308517507
i w3456 h5184 f0 v=0 Ra=0 Rb=0 Rc=0 Rd=0 Re=0 Eev14.054846179819 Er1.0061710148976 Eb0.99243879989158 r0.104421413939895 p3.90920846354046 y-16.6866683500332 TrX0 TrY0 TrZ0 Tpy0 Tpp0 j0 a=0 b=0 c=0 d=0 e=0 g=0 t=0 Va=0 Vb=0 Vc=0 Vd=0 Vx=0 Vy=0 Vm5 n"IMG_6041_panoramique.JPG"
#-hugin cropFactor=1.5703308517507
i w3456 h5184 f0 v=0 Ra=0 Rb=0 Rc=0 Rd=0 Re=0 Eev13.8925214167912 Er0.98930231928563 Eb0.987276897635803 r-0.121597358074024 p4.1113679177379 y0.709294799026623 TrX0 TrY0 TrZ0 Tpy0 Tpp0 j0 a=0 b=0 c=0 d=0 e=0 g=0 t=0 Va=0 Vb=0 Vc=0 Vd=0 Vx=0 Vy=0 Vm5 n"IMG_6042_panoramique.JPG"
#-hugin cropFactor=1.5703308517507
i w3456 h5184 f0 v=0 Ra=0 Rb=0 Rc=0 Rd=0 Re=0 Eev13.8397846805661 Er0.98666261131379 Eb0.986038431370235 r0.458857504520535 p4.77621406909587 y19.4163565971344 TrX0 TrY0 TrZ0 Tpy0 Tpp0 j0 a=0 b=0 c=0 d=0 e=0 g=0 t=0 Va=0 Vb=0 Vc=0 Vd=0 Vx=0 Vy=0 Vm5 n"IMG_6043_panoramique.JPG"
#-hugin cropFactor=1.5703308517507
i w3456 h5184 f0 v=0 Ra=0 Rb=0 Rc=0 Rd=0 Re=0 Eev13.7884987291266 Er1.03713922413671 Eb1.0068272885624 r-0.242458803186299 p5.64590218854188 y36.4778863594857 TrX0 TrY0 TrZ0 Tpy0 Tpp0 j0 a=0 b=0 c=0 d=0 e=0 g=0 t=0 Va=0 Vb=0 Vc=0 Vd=0 Vx=0 Vy=0 Vm5 n"IMG_6044_panoramique.JPG"
#-hugin cropFactor=1.5703308517507
i w3456 h5184 f0 v=0 Ra=0 Rb=0 Rc=0 Rd=0 Re=0 Eev13.7302482063072 Er1.01704090451386 Eb0.988129549127632 r-0.545362926720318 p6.24823414086808 y52.2460912241287 TrX0 TrY0 TrZ0 Tpy0 Tpp0 j0 a=0 b=0 c=0 d=0 e=0 g=0 t=0 Va=0 Vb=0 Vc=0 Vd=0 Vx=0 Vy=0 Vm5 n"IMG_6045_panoramique.JPG"
#-hugin cropFactor=1.5703308517507
i w3456 h5184 f0 v=0 Ra=0 Rb=0 Rc=0 Rd=0 Re=0 Eev13.7463574592268 Er1.06956243187017 Eb1.00841619661451 r0.976154216834816 p6.3634416655883 y71.1394630919333 TrX0 TrY0 TrZ0 Tpy0 Tpp0 j0 a=0 b=0 c=0 d=0 e=0 g=0 t=0 Va=0 Vb=0 Vc=0 Vd=0 Vx=0 Vy=0 Vm5 n"IMG_6046_panoramique.JPG"
# specify variables that should be optimized
v Ra0
v Rb0
v Rc0
v Rd0
v Re0
v r0
v Vb0
v Vc0
v Vd0
v Eev1
v r1
v p1
v y1
v Eev2
v r2
v p2
v y2
v Eev3
v r3
v p3
v y3
v Eev4
v r4
v p4
v y4
v Eev5
v r5
v p5
v y5
v Eev6
v r6
v p6
v y6
v Eev7
v r7
v p7
v y7
v Eev8
v r8
v p8
v y8
# control points
c n0 N1 x1856.23834946163 y2041.56900725352 X414.960974481774 Y1977.13724450414 t0
c n0 N1 x1644.88816379826 y2544.95384133652 X158.037258071464 Y2493.3570397774 t0
c n0 N1 x1773.87230820478 y3019.30594307718 X284.377923489588 Y2997.92588560232 t0
c n0 N1 x1684.06167072949 y3508.07174755349 X158.230562342962 Y3514.51121113818 t0
c n0 N1 x2005.5769198607 y1772.31385792515 X590.342423650594 Y1714.14747104714 t0
c n0 N1 x2173.92770685371 y2292.79205901256 X739.296522028518 Y2260.69390598432 t0
c n0 N1 x2156.06528025168 y2773.81675223167 X702.927572576519 Y2748.13531643319 t0
c n0 N1 x2107.3274645914 y3650.44527982421 X608.194945850018 Y3641.95806698244 t0
c n0 N1 x2323.24217304867 y1588.63277663196 X930.366359631445 Y1564.00216367061 t0
c n0 N1 x2537.75030283318 y2609.88554396441 X1093.91335172948 Y2593.93629444581 t0
c n0 N1 x2305.03631032519 y2771.93189286086 X856.903680825629 Y2748.41875759404 t0
c n0 N1 x2276.5518996658 y3581.78554929846 X784.714881608782 Y3564.13441360193 t0
c n0 N1 x2628.10260164695 y4334.83959594149 X1090.63584561166 Y4280.88042538621 t0
c n0 N1 x2796.41898150386 y1715.42896883412 X1384.00969445137 Y1739.69718490821 t0
c n0 N1 x2920.40405134615 y2755.68372854059 X1454.90617022732 Y2745.05058889796 t0
c n0 N1 x2981.90624613209 y2784.0560858619 X1510.2609992069 Y2774.35459094623 t0
c n0 N1 x3028.80783307085 y1891.12118561166 X1591.14732090982 Y1928.2544229964 t0
c n0 N1 x3244.94716860846 y2716.28658420925 X1750.33162809457 Y2713.88254565243 t0
c n0 N1 x3263.61371102611 y2811.36021145037 X1765.22749177949 Y2803.51916685946 t0
c n1 N2 x1529.95752810079 y1804.0073612743 X222.407400820934 Y1668.53457269263 t0
c n1 N2 x1747.22992533803 y2706.74351475985 X432.755492551191 Y2646.90116974624 t0
c n1 N2 x1763.83123300117 y2834.63529132725 X445.611168882521 Y2781.08912831164 t0
c n1 N2 x2072.70084096745 y1934.8333003795 X808.925125904459 Y1858.20363053167 t0
c n1 N2 x2023.3354116238 y2635.27465903097 X728.729150652722 Y2579.80901430193 t0
c n1 N2 x1867.23761537052 y2965.05343104524 X555.472247431847 Y2918.60225881314 t0
c n1 N2 x1980.25985808155 y3843.13272589862 X640.370828790856 Y3831.22769793433 t0
c n1 N2 x2107.08740645478 y4173.40480392563 X768.675090057155 Y4161.44233645201 t0
c n1 N2 x2260.41103717746 y1886.12616846882 X1006.10511645234 Y1823.7429599772 t0
c n1 N2 x2403.02598530747 y2116.2486593346 X1141.50392050529 Y2067.91554538241 t0
c n1 N2 x2196.673436014 y3300.34514896035 X891.213060151125 Y3263.22077149906 t0
c n1 N2 x2320.40383848453 y3912.32597909037 X995.555611122866 Y3878.26169800141 t0
c n1 N2 x2263.07156459602 y4258.81884174769 X928.275405390126 Y4233.48417633421 t0
c n1 N2 x2846.49530712191 y1784.12146432662 X1587.69863114413 Y1772.46597885651 t0
c n1 N2 x2657.28045333214 y2329.51140945494 X1385.59694357293 Y2295.67631794485 t0
c n1 N2 x2635.43808461658 y2891.64058951642 X1348.21477109587 Y2851.36857422401 t0
c n1 N2 x2772.38074836278 y4007.02002652598 X1434.50499251575 Y3940.38608541851 t0
c n1 N2 x2961.36638349633 y4203.11039615002 X1610.89115776511 Y4112.83407292474 t0
c n1 N2 x3288.67483770777 y1875.21920268654 X1989.9956553713 Y1896.66656121008 t0
c n1 N2 x3216.76965171294 y2202.57488962827 X1915.29896884582 Y2200.62477999816 t0
c n1 N2 x3378.71773084512 y3304.07313161888 X2026.12347491679 Y3243.79923197744 t0
c n1 N2 x3079.99484112346 y3953.88893804 X1721.84682068445 Y3866.35092004959 t0
c n1 N2 x3067.57217427213 y4149.93213696878 X1709.26025490564 Y4053.11936731819 t0
c n2 N3 x1613.3890045427 y1779.46542882627 X500.576441580543 Y1732.3765823376 t0
c n2 N3 x1233.71464074869 y2120.14089762838 X71.3714721074499 Y2067.98045307439 t0
c n2 N3 x1278.03649919485 y3434.22567978475 X119.032611305277 Y3478.13847571245 t0
c n2 N3 x1562.00735414524 y4123.96304936112 X437.891729829489 Y4195.13541893453 t0
c n2 N3 x1375.56554368101 y4326.99132735787 X230.845533209922 Y4434.10806962012 t0
c n2 N3 x2071.32951688215 y2010.79271103414 X975.500449505818 Y1999.86351258063 t0
c n2 N3 x1915.29896884582 y2200.62477999816 X809.084029602855 Y2185.72047550416 t0
c n2 N3 x1816.38823229613 y3315.71516566733 X694.835592779611 Y3333.18970902061 t0
c n2 N3 x1709.26025490564 y4053.11936731819 X598.978458592707 Y4104.3874320975 t0
c n2 N3 x1764.94130561698 y4254.69923899033 X658.18456450057 Y4310.08954378073 t0
c n2 N3 x2475.13894222309 y1865.80481484488 X1383.72610690552 Y1877.97041375931 t0
c n2 N3 x2114.94268757412 y2582.95533957566 X1010.96134352272 Y2580.0320322548 t0
c n2 N3 x2087.29752457262 y3133.12667500698 X980.273939447429 Y3137.81742291611 t0
c n2 N3 x2441.25194003805 y4186.97833586526 X1361.58785033395 Y4179.61844072116 t0
c n2 N3 x2776.73116749852 y1559.33196019877 X1681.01839256396 Y1599.95764864072 t0
c n2 N3 x2810.87630229887 y2736.95910386542 X1690.70726510908 Y2741.49513415374 t0
c n2 N3 x2594.37790101061 y2996.85727068238 X1484.58850504757 Y2994.16879764738 t0
c n2 N3 x2920.37325804053 y3793.98185970508 X1819.05748535951 Y3759.57613835432 t0
c n2 N3 x2563.87601336652 y4438.44541441078 X1484.16352876036 Y4415.57813418095 t0
c n2 N3 x3072.15841216796 y1410.73866957945 X1957.46707483537 Y1482.81623222887 t0
c n2 N3 x3185.17554024522 y2618.97888343381 X2038.33012988061 Y2631.12902621872 t0
c n2 N3 x2984.31451230802 y3576.20678677848 X1880.15315319006 Y3548.28807805482 t0
c n2 N3 x3227.61960539469 y4746.99588798947 X2091.23342387186 Y4626.63493537581 t0
c n3 N4 x1589.2057306494 y1651.42493444877 X396.813279642924 Y1602.27764735988 t0
c n3 N4 x1414.02836865241 y1883.24135440203 X196.08484205176 Y1830.62476560024 t0
c n3 N4 x1387.57397220272 y2635.48764846832 X145.610236587662 Y2628.82655841802 t0
c n3 N4 x1588.3069501572 y3454.15459624877 X325.324480966842 Y3488.10684222275 t0
c n3 N4 x1957.46707483537 y1482.81623222887 X794.276129175082 Y1464.6845836925 t0
c n3 N4 x1913.20375042952 y2420.79337316843 X718.004058369029 Y2418.56958383511 t0
c n3 N4 x1753.88358143023 y2669.86870760892 X543.379878119546 Y2669.8111795583 t0
c n3 N4 x1880.15315319006 y3548.28807805482 X634.606076742447 Y3572.70290972587 t0
c n3 N4 x1923.17984219967 y4834.18816260651 X671.095034157925 Y4896.98028356946 t0
c n3 N4 x2150.68273036462 y1668.91096473212 X985.865030010006 Y1670.87612773748 t0
c n3 N4 x2228.99702715295 y2045.31040616193 X1051.37378051235 Y2054.41934757751 t0
c n3 N4 x2410.23917036287 y4579.10619120114 X1171.44698221284 Y4567.94847297909 t0
c n3 N4 x2713.06173672517 y1318.04948762547 X1546.96165927094 Y1382.66996533315 t0
c n3 N4 x2928.1248725035 y2263.72849063899 X1718.57383086975 Y2301.54974939315 t0
c n3 N4 x2671.18164016399 y2556.10226448295 X1469.89887757342 Y2575.08281660504 t0
c n3 N4 x2709.89978853069 y3378.03298318326 X1471.51402436681 Y3372.4397645848 t0
c n3 N4 x3069.42741671111 y1187.27708265179 X1877.92830630043 Y1297.10105002663 t0
c n3 N4 x3054.36866003593 y2524.55595091904 X1830.09903463239 Y2552.54334478353 t0
c n3 N4 x3387.62940263593 y2859.51742517288 X2119.27892482261 Y2871.92518560624 t0
c n4 N5 x1546.96165927094 y1382.66996533315 X242.961810580791 Y1343.70267134937 t0
c n4 N5 x1730.71986436279 y2311.29955205944 X423.968173690552 Y2341.061945983 t0
c n4 N5 x1727.53028950276 y3249.45499304293 X409.381654935011 Y3328.13390319541 t0
c n4 N5 x1750.13092946698 y3560.14829424864 X409.492093371794 Y3651.20103341828 t0
c n4 N5 x2084.40313016353 y1542.49871565856 X817.17099073751 Y1568.34814360691 t0
c n4 N5 x1938.39430383971 y2357.72980547816 X645.330301894114 Y2397.0638361682 t0
c n4 N5 x1856.39466542305 y2610.59035331672 X554.993883286766 Y2657.51613992205 t0
c n4 N5 x2097.68007369262 y3722.38087196696 X779.198320924246 Y3794.00542114183 t0
c n4 N5 x2127.28741075897 y4435.89719655882 X822.901228595665 Y4524.13514489227 t0
c n4 N5 x2577.99986743706 y1327.4721863958 X1318.48326397411 Y1402.38046809833 t0
c n4 N5 x2338.11508979374 y1802.94822072609 X1068.73793961805 Y1852.76358877147 t0
c n4 N5 x2206.75013352285 y2886.43155401587 X918.245841609392 Y2940.22756169685 t0
c n4 N5 x2592.60279870059 y3855.17418483524 X1282.84809266491 Y3890.84521716086 t0
c n4 N5 x2347.68533933087 y4599.74772673017 X1036.1405097662 Y4659.37124336991 t0
c n4 N5 x2765.62011019525 y1260.44977096674 X1499.56966877357 Y1359.06134059729 t0
c n4 N5 x2923.24658404004 y1867.87046609163 X1631.60134805368 Y1954.33812614803 t0
c n4 N5 x2722.35071309929 y3168.02798477244 X1427.94699518231 Y3210.35007113577 t0
c n4 N5 x2816.87402474063 y3630.06781925705 X1517.1430996617 Y3656.1455207252 t0
c n4 N5 x2894.93989404894 y4458.69483313303 X1576.97815944317 Y4446.11248663123 t0
c n4 N5 x3023.78737096863 y1370.36031484121 X1735.68848396176 Y1490.64933466299 t0
c n4 N5 x3013.08073817179 y2021.98734391847 X1711.96946137072 Y2105.09494554982 t0
c n4 N5 x3247.77874079649 y2571.27603522632 X1917.88846327901 Y2632.2864258948 t0
c n4 N5 x3191.39413954698 y3319.68714458415 X1861.60843813466 Y3339.48204527011 t0
c n4 N5 x3067.27793223161 y4736.64019364074 X1732.654824154 Y4683.78138268646 t0
c n5 N6 x1318.48326397411 y1402.38046809833 X140.251753724797 Y1342.67729047717 t0
c n5 N6 x1631.60134805368 y1954.33812614803 X459.621693584516 Y1960.84280987634 t0
c n5 N6 x1488.82685645977 y2462.93391528798 X277.877408279743 Y2486.72563065615 t0
c n5 N6 x1517.1430996617 y3656.1455207252 X263.985116191667 Y3757.56984894961 t0
c n5 N6 x1644.35719194814 y4554.60357523426 X352.330605480372 Y4718.73020435845 t0
c n5 N6 x1708.2687346164 y1088.28157789048 X587.888829897369 Y1068.37348122313 t0
c n5 N6 x1711.96946137072 y2105.09494554982 X538.988284670389 Y2125.08677939179 t0
c n5 N6 x2041.9029615824 y2572.32801707055 X865.065878893748 Y2623.16990986896 t0
c n5 N6 x1768.54667677779 y3518.9565099717 X544.290133818012 Y3601.71747661651 t0
c n5 N6 x1729.70837778461 y4679.10880398338 X438.137043355451 Y4842.34887529081 t0
c n5 N6 x2191.14726109791 y1262.6194285893 X1080.46743274231 Y1312.91443234193 t0
c n5 N6 x2398.45969462452 y2177.75769720628 X1242.70925194829 Y2243.24203970474 t0
c n5 N6 x2343.63429910967 y2484.06811523671 X1176.15125916691 Y2545.71346115821 t0
c n5 N6 x2379.37999688978 y3984.77028713666 X1144.7480709311 Y4050.98725023698 t0
c n5 N6 x2200.45665921383 y4418.31475209321 X956.384706115831 Y4506.85277673736 t0
c n5 N6 x2657.68716054804 y1362.79899954588 X1532.10378196963 Y1467.05064439288 t0
c n5 N6 x2673.76562738591 y1930.83137787563 X1521.34640607541 Y2018.93725343381 t0
c n5 N6 x2974.32455439576 y2414.9070824596 X1786.70766088134 Y2503.43441984331 t0
c n5 N6 x2932.5904678926 y3526.3972858148 X1715.76777914335 Y3574.50219758648 t0
c n5 N6 x2635.42184673404 y4355.50447266677 X1389.4011331058 Y4400.89326025909 t0
c n5 N6 x3018.27632135271 y1226.33128636721 X1872.28298280835 Y1379.33404160274 t0
c n5 N6 x3105.87396094973 y2160.38488286785 X1915.42060666543 Y2267.98712343737 t0
c n5 N6 x3041.4477054654 y2386.65970933554 X1848.99782072149 Y2479.43114515783 t0
c n5 N6 x2984.52617920614 y4427.8743736416 X1713.77104569856 Y4439.38031280885 t0
c n6 N7 x1497.80171290891 y1566.8600377174 X428.542547720459 Y1532.64111238712 t0
c n6 N7 x1242.70925194829 y2243.24203970474 X118.288721396534 Y2225.42865550078 t0
c n6 N7 x1276.00768865151 y2666.44123905834 X141.378944862164 Y2675.55942493715 t0
c n6 N7 x1586.42007269455 y3964.92358045403 X424.248681797943 Y4044.10827096592 t0
c n6 N7 x1464.8804483742 y4567.26023199882 X258.146428043209 Y4701.23041583066 t0
c n6 N7 x1750.69305372569 y1567.04665364421 X698.747447264563 Y1560.84470321154 t0
c n6 N7 x1701.78274917954 y1609.890402745 X646.449448108822 Y1599.23700013946 t0
c n6 N7 x1744.25886535411 y2518.45948012693 X655.447582188494 Y2536.44667084788 t0
c n6 N7 x1906.87087098552 y4028.55822014696 X764.21474659929 Y4087.9456780975 t0
c n6 N7 x1638.82392322909 y4748.37216427769 X447.712848561494 Y4873.81129498596 t0
c n6 N7 x2195.97479597615 y1579.01227137746 X1154.17647926116 Y1612.1473778197 t0
c n6 N7 x2410.18840372294 y1637.1579149638 X1363.32540704687 Y1687.92557563225 t0
c n6 N7 x2152.88465481717 y2799.50795472013 X1068.03926984603 Y2831.47978008256 t0
c n6 N7 x2314.20299835846 y4108.04616677971 X1176.45163381034 Y4140.51615041965 t0
c n6 N7 x2334.0410514218 y4588.06643842086 X1190.12489390436 Y4619.40362332494 t0
c n6 N7 x2541.37308154354 y1463.66709809075 X1496.99792330948 Y1530.44077960807 t0
c n6 N7 x2543.04586052098 y1779.86179429036 X1486.53720074216 Y1838.17530754599 t0
c n6 N7 x2773.24410079055 y2689.87105731223 X1677.12847976163 Y2734.37615486151 t0
c n6 N7 x2549.30869911447 y3344.05955289248 X1449.9991444233 Y3372.6921009814 t0
c n6 N7 x2771.13828462787 y4478.05614409217 X1615.87660155735 Y4466.5124429446 t0
c n6 N7 x3242.00258852497 y1463.99126151256 X2142.42556828549 Y1595.68777770035 t0
c n6 N7 x3153.49432314497 y1823.04820741644 X2053.25114943511 Y1922.20283049092 t0
c n6 N7 x3360.16631630414 y3153.5946332365 X2203.67796356317 Y3177.72060062575 t0
c n6 N7 x3385.76787840174 y3387.23519535961 X2221.67907865839 Y3395.83443628241 t0
c n6 N7 x3047.90394805561 y4244.11336491177 X1877.4875283718 Y4219.69760462896 t0
c n7 N8 x1517.91788775296 y1588.42561444962 X192.882022019442 Y1531.10578968243 t0
c n7 N8 x1436.52495680101 y2539.24091896943 X82.9506213412458 Y2539.19917310117 t0
c n7 N8 x1677.12847976163 y2734.37615486151 X347.05748686051 Y2748.10132978863 t0
c n7 N8 x1538.88092822187 y3680.44769765147 X190.077297099182 Y3755.4267708754 t0
c n7 N8 x1829.51818813352 y954.193961346502 X556.139183776427 Y903.037266951476 t0
c n7 N8 x2053.25114943511 y1922.20283049092 X761.547799448586 Y1922.6298743216 t0
c n7 N8 x2203.67796356317 y3177.72060062575 X899.400366045658 Y3194.61013266639 t0
c n7 N8 x2170.25247338045 y4044.49804263829 X870.938129279837 Y4072.99366500072 t0
c n7 N8 x2169.08581839401 y4622.33083961786 X875.468046409629 Y4661.22942336844 t0
c n7 N8 x2263.80458903043 y1604.31819605729 X984.537837126518 Y1616.19817138718 t0
c n7 N8 x2519.69486239276 y2422.55183709642 X1220.16005746265 Y2441.00328586929 t0
c n7 N8 x2410.06938094686 y3408.02943137087 X1108.2377334387 Y3417.45611264074 t0
c n7 N8 x2299.30340011538 y4221.46702923847 X1004.51017114416 Y4237.96074018125 t0
c n7 N8 x2413.40762106244 y4351.38400675249 X1119.96247845368 Y4353.53756843784 t0
c n7 N8 x2821.09536897094 y1045.12978906302 X1542.87974261725 Y1132.32522370909 t0
c n7 N8 x2869.65599182024 y2474.20886937073 X1554.7720131734 Y2499.60244173493 t0
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#hugin_optimizeReferenceImage 0
#hugin_blender enblend
#hugin_remapper nona
#hugin_hdrmergeOptions -m avg -c
#hugin_outputLDRBlended true
#hugin_outputLDRLayers false
#hugin_outputLDRExposureRemapped false
#hugin_outputLDRExposureLayers false
#hugin_outputLDRExposureBlended false
#hugin_outputLDRStacks false
#hugin_outputLDRExposureLayersFused false
#hugin_outputHDRBlended false
#hugin_outputHDRLayers false
#hugin_outputHDRStacks false
#hugin_outputLayersCompression LZW
#hugin_outputImageType tif
#hugin_outputImageTypeCompression LZW
#hugin_outputJPEGQuality 90
#hugin_outputImageTypeHDR exr
#hugin_outputImageTypeHDRCompression LZW
#hugin_outputStacksMinOverlap 0.7
#hugin_outputLayersExposureDiff 0.5
#hugin_optimizerMasterSwitch 1
#hugin_optimizerPhotoMasterSwitch 21

IMG_SRC/PANORAMIQUES/IMG_6038_panoramique - IMG_6046_panoramique.tif View File

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Ce projet essai, en partant d'une IMAGE_SOURCE de :
- appliquer des effets à l'image (auto levels)
- la redimmensionner (en puissance de 2)
- changer son mode de couleur (en passant à du 1 bit)
- la HAACHEER (re-séquencer, de manière plus ou moins aléatoire des zones de l'image) pour produire une IMAGE_HAACHEE
- la HAACHEER (re-séquencer, de manière plus ou moins aléatoire des
zones de l'image) pour produire une IMAGE_HAACHEE
A partir de l'IMAGE_HAACHEE :
- appliquer une ifft aux pixels et générer un FICHIER_AUDIO (enscribe)
- normaliser ce fichier audio (pour une bonne amplification)
A partir de l'IMAGE_HAACHEE :
- appliquer HORIZONTAL qui va produire une SERIE DE N IMAGES, N correspondant aux nombres de pixels (en largeur) de l'IMAGE SOURCE
- appliquer HORIZONTAL qui va produire une SERIE DE N IMAGES, N
correspondant aux nombres de pixels (en largeur) de l'IMAGE SOURCE
A partir de la SERIE_DE_N_IMAGES :
- produire un FICHIER_VIDEO (de l'image ZERO à l'image N) intégrant en bande son le FICHIER_AUDIO
- produire un FICHIER_VIDEO (de l'image ZERO à l'image N) intégrant en
bande son le FICHIER_AUDIO
________________________________________________________________________ : appliquer des effets à l'IMAGE_SOURCE : IMAGE_EFFET : haacheer l'IMAGE_SOURCE pour produire IMAGE_HAACHEE : découper IMAGE_HAACHEE en de multiples images 4/3,
prêtes pour l'impression : IMAGE_PRINT : transformer un fichier VIDEO_SOURCE en une image
reprennant et alignant une à une toutes les images de
VIDEO_SOURCE, pour donner VIDEO_IMAGE2D : tranformer l'IMAGE_SOURCE en un fchier audio,
constituant la piste sonore de la vidéo produite par
HORIZONTAL : transforme IMAGE_HAACHEE (ou une autre au choix)
en un fichier video comportant autant d'images que de
colonnes dans l'image
(a) chargement_IMAGE
(1) mise à l échelle
(2) passage à 1 bit (noir|blanc)
(3) si nécessaire, conversion de format en non compressé (raw)
(b) haacheuurr
(1) plusieurs mode pour les traites de coupes :
- tout le tour
- juste les bords droit/gauche (plus épais si sample plus grand
- aucun contour
- couleur blanche|noire
(c) horizontal_IMAGE
(1) largeur Image (en pixels) / FPS = temps de diffusion
(d) horizontal_AUDIO
(1) calcul de la FTT inverse en fonction de la hauteur de l image
+ EFFECTS (auto levels)
+ RESIZE (2^n)
+ COLOR MODE (1 bit)
| + NORMALIZE (sox)
| + CROP
#input AVI, output WEBM
ffmpeg -i hachures-out-2011-01-30-12h05m57s-0.jpg.resized.jpg.avi -c:v libvpx -crf 10 -b:v 1M -c:a libvorbis output.webm
#input WEBM, output WEBM + audio
ffmpeg -i output.webm -i hachures-out-2011-01-30-12h05m57s-0.jpg.wav -acodec libvorbis -shortest output_audio.webm
#input AVI, output webm vpx (CRF) + audio inpujt WAV, audio output libvorbis
ffmpeg -i hachures-out-2011-01-30-12h05m57s-0.jpg.resized.jpg.avi -i hachures-out-2011-01-30-12h05m57s-0.jpg.wav -c:v libvpx -crf 10 -b:v 2M -c:a libvorbis -threads 4 output_audio.webm
#input : suite d'images + audio (wav) output x264 mp4, audio libfaac
ffmpeg -i horizontal%d.png -i pylone3.png.enscribe.norm.wav -c:a libfaac -c:v libx264 -preset ultrafast -crf 32 final.mp4
ffmpeg -i horizontal%d.png -i pylone3.png.enscribe.norm.wav -c:a libfaac -c:v libx264 -b:v 5000k final2.mp4
# pareil mais en essayant un format de pixel en niveau de gris, ou meme 1 bit
ffmpeg -i horizontal%d.png -i pylone3.png.enscribe.norm.wav -c:a libfaac -c:v libx264 -vf format=gray -b:v 5000k final2.mp4
ffmpeg -i horizontal%d.png -i pylone3.png.enscribe.norm.wav -c:a libfaac -c:v libx264 -pix_fmt monow final3.mp4

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rm $0
python ""
python ""
echo "

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# coding: utf-8
import sys
import Image
import random
import os
import ImageDraw
import ImageFont
import ImageFilter
from time import gmtime, strftime
from datetime import datetime
dt =
heure = str(dt.hour)+"h"+str(dt.minute)+"m"+str(dt.second)+"s"+str(dt.microsecond)+"ms"
image ="1", (512,512,), "white")
h = image.size[0]
l = image.size[1]
img = ImageDraw.Draw(image)
n = 0
ecart = 4
tranches = h / ecart
while n < tranches :
rx = random.randint(0,l/2)
n = n + 1".png",'PNG', quality=100)
def txt(strii):
print strii

motif.pyc View File