reprise du code et renommages

0_alpha.py

@@ -0,0 +1,31 @@
+#!/usr/bin/python
+# coding: utf-8
+
+
+import Image
+import sys
+import ImageDraw
+from PIL.Image import composite,LINEAR
+
+# MILLISECONDES
+from datetime import datetime
+dt = datetime.now()
+dt.microsecond
+
+im1 = Image.open(str(sys.argv[1])).convert('RGBA')
+im2 = Image.open(str(sys.argv[2])).convert('RGBA')
+im3 = Image.new("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)
+
+im1.save(script+".1.alpha."+heure+".png",'PNG', quality=100)
+im2.save(script+".2.alpha."+heure+".png",'PNG', quality=100)
+im3.save(script+".3.alpha."+heure+".png",'PNG', quality=100)

0_effets.py

@@ -0,0 +1,51 @@
+#!/usr/bin/python
+# -*- 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 = Image.open(str(sys.argv[1]))
+im1 = im1.convert('RGB')
+
+# BLUR
+'''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)
+		
+imagedest.save("test.jpg"+strftime("%Y-%m-%d-%Hh%Mm%Ss", gmtime())+".jpg",quality=100)
+
+'''
+#collage de l'image résultante dans une image 1bit
+im4 = Image.new("1", (im1.size[0], im1.size[1]))
+im4.paste(im1, (0, 0, im1.size[0], im1.size[1]))
+
+# CTRL + S
+im4.save("griis-out-"+strftime("%Y-%m-%d-%Hh%Mm%Ss", gmtime())+".jpg",quality=100)
+'''
+
+#COPIER/COLLAGE SIMPLE ET EFFICACE :
+'''
+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)
+'''

0_hac.py

@@ -0,0 +1,144 @@
+#!/usr/bin/python
+# coding: utf-8
+
+import sys
+import Image
+import random
+import os
+import ImageDraw
+import ImageFont
+import ImageFilter
+import time
+import ImageEnhance
+import pickle
+
+# MILLISECONDES
+from datetime import datetime
+dt = datetime.now()
+dt.microsecond
+heure = str(dt.hour)+"h"+str(dt.minute)+"m"+str(dt.second)+"s"+str(dt.microsecond)+"ms"
+
+print dt
+
+# AGRANDISSEMENT
+allongement = 3
+
+# IMAGES
+im1 = Image.open(str(sys.argv[1])).convert('RGBA')
+im2 = Image.new("RGBA",(im1.size[0], im1.size[1]))
+im3 = Image.new("RGBA",(im1.size[0], im1.size[1]))
+im4 = Image.new("RGBA",(im1.size[0], im1.size[1]))
+im5 = Image.new("RGBA",(im1.size[0], im1.size[1]))
+im6 = Image.new("RGBA",(im1.size[0]*allongement, im1.size[1]))
+im7 = Image.new("RGBA",(im1.size[0], im1.size[1]), "white") # masque alpha
+
+# LARGEUR HAUTEUR
+Larg = im1.size[0]
+Haut = im1.size[1]
+loadfile = False
+
+# EMPLACEMENT SCRIPT
+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(), \
+im1.size[1]]
+
+print  randomCoupeHauteur1
+# ENLEVE DOUBLONS
+randomCoupeHauteur = set(randomCoupeHauteur1)
+randomCoupeHauteur = list(randomCoupeHauteur)
+
+print randomCoupeHauteur
+
+# RANGEMENT
+randomCoupeHauteur.sort()
+print  randomCoupeHauteur
+	
+# HAACHEUUR
+def Hacheur(haut, bas) :
+	n = 0
+	i = 0
+	while n<im6.size[0] :
+		i+=1
+		loop = 0
+		
+		# PROPORTIONS
+		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),\
+		(16,2),(16,3),(16,4),(16,5),(16,8),(16,16),(16,32),\
+		(32,3),(32,5),(32,8),(32,16),(32,32),\
+		(128,1),(128,2),(128,4),(128,8),\
+		(256,1),(256,2),(256,4),\
+		(512,1),(512,2)]
+		
+		'''
+		(768,1),(768,2),\
+		(1024,1),(1024,2),\
+		(2048,1),\
+		(3072,1)]
+		'''
+		
+		# COPY POS X 
+		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]
+		
+		# PIXEL SIZE
+		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]
+		
+		# CROP
+		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]))
+		
+		# MASQUE
+		im7 = Image.new("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)
+			im7draw.rectangle(((rx,n1*tranches),(rx+l/2,n1*tranches+tranches)),"white")
+			n1 = n1 + 1
+		
+		# REPETITION MOTIF MASQUÉ
+		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)
+im6.save(script+"."+heure+".png",'PNG', quality=100)
+im6.show()

0_motif.py

@@ -0,0 +1,41 @@
+#!/usr/bin/python
+# 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
+
+# MILLISECONDES
+from datetime import datetime
+dt = datetime.now()
+dt.microsecond
+heure = str(dt.hour)+"h"+str(dt.minute)+"m"+str(dt.second)+"s"+str(dt.microsecond)+"ms"
+
+image = Image.new("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)
+		image.rectangle(((rx,n*tranches),(rx+l/2,n*tranches+tranches)),"white")
+		n = n + 1
+
+motifs(motif)
+
+image.save(heure+".png",'PNG', quality=100)
+'''

1_crop.py

@@ -0,0 +1,42 @@
+#!/usr/bin/python
+# coding: utf-8
+
+import Image, sys
+from time import gmtime, strftime
+
+im1 = Image.open(str(sys.argv[1]))
+largeur = im1.size[0]
+hauteur = im1.size[1]
+crop = hauteur * 3 / 4
+nb = largeur/crop
+
+# print infos image
+print 
+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
+	print "x1 %d" % x1
+	print "y1 %d"  % y1
+	print "x2 %d" % x2
+	print "y2 %d" % y2
+	print
+
+	#enregistrement
+	im2 = im1.crop((x1,y1,x2,y2))
+	im2.save(script+".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

2_video2d.py

@@ -0,0 +1,154 @@
+#!/usr/bin/python
+# 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 	# Image.open()
+import os 		# os.getcwd
+
+'''
+im1 = Image.open(str(sys.argv[1]))
+width, height = im1.size
+<<<<<<< HEAD
+print "width  =% 5.2i" % width
+print "height =% 5.2i" % height
+allongement = 8
+im4 = Image.new("RGBA",(im1.size[0]*allongement, im1.size[1]))
+=======
+print 
+print "width  =% 5.2i" % width
+print "height =% 5.2i" % height
+print
+allongement = 8
+im4 = Image.new("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 = Image.open("./lila/img001.jpg")
+im2 = Image.new("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 = Image.open("./lila/img%03.1i.jpg" % z)
+		im2.paste(im1, (positionx,0))
+		positionx = positionx + largeur
+	im2.save(script+"/"+str(x)+".2.png",'PNG', quality=100)
+
+'''
+# VERSION BATAILLE NAVALE
+for x in range(0,allongement):	
+	positionx = 0
+
+	for y in range(1,6):
+		z = x*10 + y
+		im1 = Image.open("./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]
+
+im2.save(script+"/"+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 = Image.open("./drone/img001.jpg")
+im2 = Image.new("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 = Image.open("./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]
+	im2.save(script+"_"+str(x)+".png",'PNG', quality=100)
+'''

3_enscribe_.sh

@@ -0,0 +1,34 @@
+# ------------- 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/hacheuur.py $image_output_resize
+
+# ------------- HORIZONTAL
+
+
+# ------------- ROTATE IMAGE 90 DEGRES SENS HORAIRE
+#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
+
+
+# ------------- NORMALIZE ENSCRIBE AUDIO OUTPUT
+# normaliser l'audio, histoire d'avoir une amplitude (volume) optimale 
+#sox --norm sound_output.enscribe.wav sound_output.wav

3_horizontal.simple.py

@@ -0,0 +1,48 @@
+#!/usr/bin/python
+import os, sys, Image, ImageDraw, ImageColor
+from time import gmtime, strftime
+
+fichier=sys.argv[1]
+
+try:
+	#im1 = Image.open(fichier).convert('1')
+	im1 = Image.open(fichier)
+	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())
+
+x=0
+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"
+	im3.save(nomdefichier, "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+".final.video.mp4")
+print " OUTPUT FINAL : "+fichier+".final.video.mp4"
+
+# Nettoyage
+#os.system("rm horizontal*.png")

IMG_SRC/PANORAMIQUES/IMG_6038_panoramique - IMG_6046_panoramique.pto

@@ -0,0 +1,439 @@
+# 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
+v
+
+
+# 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
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+c n5 N6 x1708.2687346164 y1088.28157789048 X587.888829897369 Y1068.37348122313 t0
+c n5 N6 x1711.96946137072 y2105.09494554982 X538.988284670389 Y2125.08677939179 t0
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+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
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+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
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+c n6 N8 x2794.74056589321 y972.168805391016 X472.210539554855 Y1030.80520039121 t0
+c n6 N8 x2630.2622655772 y1780.15196153525 X244.844885357346 Y1808.15430485533 t0
+c n6 N8 x2773.24410079055 y2689.87105731223 X347.05748686051 Y2748.10132978863 t0
+c n6 N8 x2790.13601501393 y2911.92356493708 X357.901565500309 Y2973.39897246218 t0
+c n6 N8 x2646.22590568334 y3661.09754772841 X190.077297099182 Y3755.4267708754 t0
+c n6 N8 x2936.56674739839 y827.257406865911 X620.881829066467 Y928.972292941741 t0
+c n6 N8 x2937.18309195177 y1879.96802684746 X552.076923788101 Y1951.04699781582 t0
+c n6 N8 x2919.42103033926 y2573.00602285626 X500.688760984256 Y2634.07262157433 t0
+c n6 N8 x2952.60322909392 y2809.18327055865 X524.978451411299 Y2870.05685363274 t0
+c n6 N8 x3020.87652623494 y1304.97909164836 X667.031573523914 Y1404.82386773491 t0
+c n6 N8 x3153.49432314497 y1823.04820741644 X761.547799448586 Y1922.6298743216 t0
+c n6 N8 x3177.89883987328 y2654.45474555952 X745.184106242338 Y2722.06057277684 t0
+c n6 N8 x3064.40565764445 y2903.51330433324 X630.173607202006 Y2962.96894171909 t0
+c n6 N8 x3242.00258852497 y1463.99126151256 X862.337426832855 Y1597.66339120049 t0
+c n6 N8 x3229.3541959884 y1854.94429634142 X829.580094501462 Y1962.09656171523 t0
+c n6 N8 x3265.95231686667 y2630.66817534227 X827.96197168939 Y2701.49754335737 t0
+c n6 N8 x3399.66739673583 y3395.46459886995 X932.323266139281 Y3421.65616136321 t0
+c n6 N8 x3354.56475660914 y3872.21549974983 X887.014581842096 Y3872.69033735597 t0
+c n8 N8 x1321.92 y2154.6 X1334.88 Y2417.04 t1
+
+#hugin_optimizeReferenceImage 0
+#hugin_blender enblend
+#hugin_remapper nona
+#hugin_enblendOptions 
+#hugin_enfuseOptions 
+#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

README.md

@@ -1,16 +1,122 @@
+INTENTIONS
+________________________________________________________________________
+
+
 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
+
+
+
+PROGRAMMES
+________________________________________________________________________
+
+
+0_effets.py 	: appliquer des effets à l'IMAGE_SOURCE : IMAGE_EFFET
+
+0_hac.py 		: haacheer l'IMAGE_SOURCE pour produire IMAGE_HAACHEE
+
+1_crop.py 		: découper IMAGE_HAACHEE en de multiples images 4/3, 
+				  prêtes pour l'impression : IMAGE_PRINT
+
+2_video2d.py 	: transformer un fichier VIDEO_SOURCE en une image 
+				  reprennant et alignant une à une toutes les images de
+				  VIDEO_SOURCE, pour donner VIDEO_IMAGE2D
+
+3_enscribe_.sh	: tranformer l'IMAGE_SOURCE en un fchier audio, 
+				  constituant la piste sonore de la vidéo produite par 
+				  HORIZONTAL
+
+3_horizontal.py : 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
+
+
+
+
+TODO
+________________________________________________________________________
+
+
+_IMAGE SOURCE_
+ + EFFECTS (auto levels)
+ + RESIZE (2^n)
+ + COLOR MODE (1 bit)
+ + HAACHEUUR
+ 	|
+	|_IMAGE HAACHEE
+	| + ENSCRIBE
+	| + NORMALIZE (sox)
+	|	|_FICHIER AUDIO
+	|
+	| + CROP
+	|
+	| + HORIZONTAL
+		|
+		|_FICHIERS IMAGES
+		  + FFMPEG
+			|_FICHIER VIDEO
+
+
+
+FFMPEG ONE LINER
+________________________________________________________________________
+
+#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
+
+
+
 

geany_run_script.sh

@@ -2,7 +2,7 @@
 
 rm $0
 
-python "hac.py"
+python "0_hac.py"
 
 echo "
 

motif.py

@@ -0,0 +1,42 @@
+#!/usr/bin/python
+# coding: utf-8
+
+import sys
+import Image
+import random
+import os
+import ImageDraw
+import ImageFont
+import ImageFilter
+from time import gmtime, strftime
+
+# MILLISECONDES
+from datetime import datetime
+dt = datetime.now()
+dt.microsecond
+heure = str(dt.hour)+"h"+str(dt.minute)+"m"+str(dt.second)+"s"+str(dt.microsecond)+"ms"
+
+
+image = Image.new("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)
+	img.rectangle(((rx,n*tranches),(rx+l/2,n*tranches+tranches)),"white")
+	n = n + 1
+
+
+img.save(heure+".png",'PNG', quality=100)
+	
+
+	
+def txt(strii):
+	print strii
+
+
+