def hide_image(public_img, secret_img):
s=4
#the bits we are going to overwrite
data = Image.open(public_img)
#the bits we are going to write
key = ImageOps.autocontrast(Image.open(secret_img).resize(data.size))
for x in range(data.size[0]):
for y in range(data.size[1]):
p = data.getpixel((x, y))
q = key.getpixel((x, y))
red = p[0] - (p[0] % s) + (s * q[0] / 255)
if(x > 200 and x < 206 and y > 200 and y < 206):
print(p[0] - (p[0] % s) + (s * q[0] / 255),
p[1] - (p[1] % s) + (s * q[1] / 255),
p[2] - (p[2] % s) + (s * q[2] / 255))
# print('p[0], q[0]')
# print(p[0], q[0])
# print('p[1],q[1]')
# print(p[1],q[1])
# print('p[2],q[2]')
# print(p[2],q[2])
green = p[1] - (p[1] % s) + (s * q[1] / 255)
blue = p[2] - (p[2] % s) + (s * q[2] / 255)
data.putpixel((x,y), (red,green,blue))
# if (red > 100 and green < 100 and blue < 100):
# print('x,y')
# print(x, y)
# print('Cover IMG, Hide Image')
# print(p,q)
# print('R,G,B')
# print(red,green,blue)
return data
def generate_diff(img1, img2):
_img1 = Image.open(img1)
_img2 = Image.open(img2)
#return ImageChops.blend(_img1, _img2, 0.5)
#return ImageChops.difference(_img1, _img2)
bld = Image.blend(_img1, _img2, 0.5)
return Image.composite(_img1, _img2, bld)
def TestD():
i1 = np.array(Image.open("test_inputs/checker.jpg").convert('L'),dtype="float")
i2 = np.array(Image.open("test_inputs/checker_grad.jpg").convert('L'),dtype="float")
i3 = np.array(Image.open("test_inputs/checker_blur.jpg").convert('L'),dtype="float")
i1Norm = norm(i1)
i2Norm = norm(i2)
i3Norm = norm(i3)
d11 = d(i1,i1,i1Norm,i1Norm)
d22 = d(i2,i2,i2Norm,i2Norm)
print "\nd(i1,i1) =", d11
print "d(i2,i2) =", d22
# test2: symmetry
d12 = d(i1,i2,i1Norm,i2Norm)
d21 = d(i2,i1,i2Norm,i1Norm)
print "\nd(i1,i2) =", d12
print "d(i2,i1) =", d21
# test3: triangle inequality
d23 = d(i2,i3,i2Norm,i3Norm)
d13 = d(i1,i3,i1Norm,i3Norm)
print "\nd(i1,i2) =", d12
print "d(i2,i3) =", d23
print "d(i1,i3) =", d13
print "d(i1,i3) =< d(i1,i2) + d(i2,i3)"
print "d(i1,i3) >= abs(d(i1,i2) - d(i2,i3))"
print abs(d12 - d23), "<=", d13, "<=", d12 + d23, "\n"
def make_tile(fname,out,rot=0):
image = prep_image(fname)
image = image.rotate(rot,expand=1)
# chop added extra pixels by expanding
d = quality*4
dx,dy = image.size
image = image.crop((d,d,dx-d,dy-d)).copy()
# Scale Y-axis
# convert -resample is much better than PIL.
# ideally we'd use GIMP ...
image.save("in.png")
os.system("convert in.png -resample %dx%d out.png" % (size[0]*quality,size[1]*quality))
image = Image.open("out.png")
# Apply tilemask
w,h = image.size
tmask,imask = make_tilemasks((w,h))
tile = Image.new("RGBA",(w,h),(0,0,0,0))
tile.paste(image,tmask)
# Again convert -resize is better ...
tile.save("in.png")
os.system("convert in.png -resize %dx%d out.png" % (size))
image = Image.open("out.png")
image.save(out)
def decode(self, _, imgObj):
""" Convert a image stored (PIL library readable image file format)
in a StringIO object to a ROS compatible message
(sensor_msgs.Image).
"""
if not _checkIsStringIO(imgObj):
raise TypeError('Given object is not a StringIO instance.')
# Checking of image according to django.forms.fields.ImageField
try:
imgObj.seek(0)
img = Image.open(imgObj)
img.verify()
except:
raise ValueError('Content of given image could not be verified.')
imgObj.seek(0)
img = Image.open(imgObj)
img.load()
# Everything ok, convert PIL.Image to ROS and return it
if img.mode == 'P':
img = img.convert('RGB')
rosimage = sensor_msgs.msg.Image()
rosimage.encoding = ImageConverter._ENCODINGMAP_PY_TO_ROS[img.mode]
(rosimage.width, rosimage.height) = img.size
rosimage.step = (ImageConverter._PIL_MODE_CHANNELS[img.mode]
* rosimage.width)
rosimage.data = img.tostring()
return rosimage
def _generate_thumbnail(self):
"""
Be aware that this function handle very badly remote backends such as
s3. You can add in your save() method something like::
if 's3boto' in settings.DEFAULT_FILE_STORAGE:
self.external_url = self.image.file.url
"""
image = None
if self.external_url:
import urllib
filepath, headers = urllib.urlretrieve(self.external_url)
image = PilImage.open(filepath)
filename = os.path.basename(filepath)
elif self.file:
image = PilImage.open(self.file.path)
filename = os.path.basename(self.file.name)
if image is None:
return
if image.mode not in ('L', 'RGB'):
image = image.convert('RGB')
image.thumbnail(THUMB_SIZE, PilImage.ANTIALIAS)
destination = StringIO()
image.save(destination, format='JPEG')
destination.seek(0)
self.thumbnail.save(filename, ContentFile(destination.read()))
def procesamiento_imagen():
## Convertir a grayscale
img = Image.open(rostro).convert('LA')
img.save('greyscale.png')
## Resize
foo = Image.open("greyscale.png")
foo = foo.resize((256,256),Image.ANTIALIAS)
foo.save("greyscale.png",optimize=True,quality=95)
## Eliminar ruido
img = cv2.imread('greyscale.png')
dst = cv2.fastNlMeansDenoisingColored(img,None,10,10,7,21)
## Canny detector
img = cv2.imread('greyscale.png',0)
edges = cv2.Canny(img,256,256)
plt.subplot(121),plt.imshow(img,cmap = 'gray')
plt.title('Original Image'), plt.xticks([]), plt.yticks([])
plt.subplot(122),plt.imshow(edges,cmap = 'gray')
plt.title('Edge Image'), plt.xticks([]), plt.yticks([])
plt.show()
def draw_matches(matches, qimg, dbimg, outimg):
print 'Drawing homography verified sift matches...'
def scaledown(image, max_height):
scale = 1.0
hs = float(image.size[1]) / max_height
if hs > 1:
w,h = image.size[0]/hs, image.size[1]/hs
scale /= hs
image = image.resize((int(w), int(h)), Image.ANTIALIAS)
return image, scale
assert os.path.exists(dbimg)
assert os.path.exists(qimg)
a = Image.open(qimg)
b = Image.open(dbimg)
if a.mode != 'RGB':
a = a.convert('RGB')
if b.mode != 'RGB':
b = b.convert('RGB')
height = b.size[1]
a, scale = scaledown(a, height)
assert a.mode == 'RGB'
off = a.size[0]
target = Image.new('RGBA', (a.size[0] + b.size[0], height))
def xdrawline((start,stop), color='hsl(20,100%,50%)', off=0):
def add_new_plymouth(self, customBG, plymouthName):
# if plymouthName exist return false
existingPlymouth = self.get_existing_plymouth_list()
customBG = customBG.encode('utf-8')
plymouthName = plymouthName.encode('utf-8')
plymouthName
if(plymouthName in existingPlymouth):
return False
else:
existingDir = '/var/lib/youker-assistant-daemon/plymouth/existing/'
customScript = '/var/lib/youker-assistant-daemon/plymouth/defaults/only_background.script'
defaultplymouthfile = '/var/lib/youker-assistant-daemon/plymouth/defaults/default.plymouth'
# add new plymouth conf dir
os.mkdir(existingDir + plymouthName)
shutil.copy(defaultplymouthfile, existingDir + plymouthName + '/default.plymouth')
# modify config file
fileHandle = open(existingDir + plymouthName + '/default.plymouth', 'a')
fileHandle.write('ImageDir=/lib/plymouth/themes/' + plymouthName + '\n')
fileHandle.write('ScriptFile=/lib/plymouth/themes/' + plymouthName + '/youker.script')
fileHandle.close()
# add new system plymouth dir
os.mkdir('/lib/plymouth/themes/' + plymouthName)
shutil.copy(customScript, '/lib/plymouth/themes/' + plymouthName + '/youker.script')
#shutil.copy(customBG, '/lib/plymouth/themes/' + plymouthName + '/customBG.png')
Image.open(customBG).save('/lib/plymouth/themes/' + plymouthName + '/customBG.png')
return True
def draw_tags(C, Q, matches, pose, dname, dlat, dlon, Kd, Kq):
print 'Drawing homography and tags...'
qname = Q.name
dbimg = os.path.join(C.hiresdir,dname+'.jpg')
qimg = os.path.join(C.querydir,'hires',qname+'.jpg')
outimg = os.path.join(C.pose_param['resultsdir'],'tags;'+qname+';'+dname+'.jpg')
H = matches['estH']
def scaledown(image, max_height):
scale = 1.0
hs = float(image.size[1]) / max_height
if hs > 1:
w,h = image.size[0]/hs, image.size[1]/hs
scale /= hs
image = image.resize((int(w), int(h)), Image.ANTIALIAS)
return image, scale
assert os.path.exists(dbimg)
assert os.path.exists(qimg)
a = Image.open(qimg)
b = Image.open(dbimg)
if a.mode != 'RGB':
a = a.convert('RGB')
if b.mode != 'RGB':
b = b.convert('RGB')
height = b.size[1]
a, scale = scaledown(a, height)
assert a.mode == 'RGB'
off = a.size[0]
target = Image.new('RGBA', (a.size[0] + b.size[0], height))
def xdrawline((start,stop), color='hsl(20,100%,50%)', off=0, width=1):
def draw_dbimage(C, Q, matchedimg, match):
print 'Drawing query and database images side by side...'
qname = Q.name
dbimg = os.path.join(C.hiresdir,matchedimg+'.jpg')
qimg = os.path.join(C.querydir,'hires',qname+'.jpg')
outimg = os.path.join(C.pose_param['resultsdir'],qname+';'+str(match)+';'+matchedimg+'.jpg')
def scaledown(image, max_height):
scale = 1.0
hs = float(image.size[1]) / max_height
if hs > 1:
w,h = image.size[0]/hs, image.size[1]/hs
scale /= hs
image = image.resize((int(w), int(h)), Image.ANTIALIAS)
return image, scale
assert os.path.exists(dbimg)
assert os.path.exists(qimg)
a = Image.open(qimg)
b = Image.open(dbimg)
if a.mode != 'RGB':
a = a.convert('RGB')
if b.mode != 'RGB':
b = b.convert('RGB')
height = b.size[1]
a, scale = scaledown(a, height)
assert a.mode == 'RGB'
off = a.size[0]
target = Image.new('RGBA', (a.size[0] + b.size[0], height))
def xdrawline((start,stop), color='hsl(20,100%,50%)', off=0):
def imagepost(self,**kw):
registry = RegistryManager.get(request.session.db)
obj = registry.get("rhwl.easy.genes")
with registry.cursor() as cr:
if kw.get("id",0) and int(kw.get("id",0))>0:
id = [int(kw.get("id",0))]
else:
id = obj.search(cr,request.uid,[("name","=",kw.get("no"))])
if not id:
return "NO_DATA_FOUND"
file_like = cStringIO.StringIO(kw.get("img1").split(";")[-1].split(",")[-1].decode('base64','strict'))
img = Image.open(file_like)
width,height = img.size
file_like2 = cStringIO.StringIO(kw.get("img2").split(";")[-1].split(",")[-1].decode('base64','strict'))
img2 = Image.open(file_like2)
region = img2.crop((0,0,width/2,height))
img.paste(region, (width/2, 0,width,height))
val={"img":base64.encodestring(img.tostring("jpeg",img.mode))}
if kw.get("etx",""):
val["except_note"]=kw.get("etx")
obj.write(cr,request.uid,id,val,context={'lang': "zh_CN",'tz': "Asia/Shanghai","name":kw.get("no")})
if val.has_key("except_note") or kw.get("is_confirm")=="true":
o=obj.browse(cr,request.uid,id,context={'lang': "zh_CN",'tz': "Asia/Shanghai"})
if o.state=="draft":
if val.has_key("except_note"):
obj.action_state_except(cr,request.uid,id,context={'lang': "zh_CN",'tz': "Asia/Shanghai"})
elif kw.get("is_confirm")=="true":
obj.action_state_confirm(cr,request.uid,id,context={'lang': "zh_CN",'tz': "Asia/Shanghai"})
return "OK"
def imagecompare(imgfile1, imgfile2):
try:
import ImageChops, Image
except ImportError:
raise Exception('Python-Imaging package not installed')
try:
diffcount = 0.0
im1 = Image.open(imgfile1)
im2 = Image.open(imgfile2)
imgcompdiff = ImageChops.difference(im1, im2)
diffboundrect = imgcompdiff.getbbox()
imgdiffcrop = imgcompdiff.crop(diffboundrect)
data = imgdiffcrop.getdata()
seq = []
for row in data:
seq += list(row)
for i in xrange(0, imgdiffcrop.size[0] * imgdiffcrop.size[1] * 3, 3):
if seq[i] != 0 or seq[i+1] != 0 or seq[i+2] != 0:
diffcount = diffcount + 1.0
diffImgLen = imgcompdiff.size[0] * imgcompdiff.size[1] * 1.0
diffpercent = (diffcount * 100) / diffImgLen
return diffpercent
except IOError:
raise Exception('Input file does not exist')
def thumb(m):
d = m.groupdict()
url = d['url']
old_th = d['th']
code_origin = m.group()
code_normal = '[url={0}][img]{1}[/img][/url]'
tname = 't' + hashurl(url) + '.jpg'
th = rehost_m.cache_search(tname)
if th is not None:
print('. {0} - from cache'.format(th))
return code_normal.format(url, th)
try:
i = Image.open(open_thing(url)[0])
if old_th != url:
t = Image.open(open_thing(old_th)[0])
f1 = float(i.size[1]) / i.size[0]
f2 = float(t.size[1]) / t.size[0]
if abs(f1 - f2) / (f1 + f2) < 0.02 and t.size[0] >= 180:
print('. {0} - good'.format(old_th))
rehost_m.cache_write(tname, old_th)
return code_origin
i.thumbnail(THUMB_SIZE, Image.ANTIALIAS)
i.save(tname, quality=85)
except IOError as ex:
print(ex)
return code_origin
th = rehost(tname, force_cache=True)
try:
os.unlink(tname)
except:
pass
print('. {0} - new'.format(th))
return code_normal.format(url, th)
def AlphaOverlay(baseFile, inFile, position, outname=None, format="PNG"):
""" Overlay an image with an alpha value onto a background image
Params:
baseFile --
inFile --
position --
outname=None --
format="PNG" --
Returns:
None
"""
try:
bottom = Image.open(baseFile)
top = Image.open(inFile)
top.load() # Sometimes PIL is lazy and forgets to load the image, so we do it explicitly
r, g, b, a = top.split()
top = Image.merge("RGB", (r, g, b))
mask = Image.merge("L", (a,))
bottom.paste(top, position, mask)
bottom.save(outname, format)
except IOError:
print "cannot Overlay %s onto %s" % (inFile, baseFile)
return None
def printOutputs(outputs):
#initialize
canvas = Image.new("RGB", (330,3350), (255,255,255))
step = 80
row = 1
font = ImageFont.truetype("Arial.ttf",10)
draw = ImageDraw.Draw(canvas)
#print header
headerFont = ImageFont.truetype("Arial.ttf",15)
draw.text((20,30),"Image",font=headerFont, fill=(0,0,0))
draw.text((120,30),"Best Match",font=headerFont, fill=(0,0,0))
draw.text((220,30),"Worst Match",font=headerFont, fill=(0,0,0))
#print images
for output in outputs:
imageNum = output[0]
bestImageNum = output[1]
worstImageNum = output[2]
image = Image.open(helper_functions.image_path(imageNum))
bestImage = Image.open(helper_functions.image_path(bestImageNum))
worstImage = Image.open(helper_functions.image_path(worstImageNum))
canvas.paste(image,(10,row*step,99,row*step+60))
canvas.paste(bestImage,(110,row*step,199,row*step+60))
canvas.paste(worstImage,(210,row*step,299,row*step+60))
draw.text((20,row*step+63),"Image: " + str(imageNum),font=font, fill=(0,0,0))
draw.text((120,row*step+63),"Image: " + str(bestImageNum),font=font, fill=(0,0,0))
draw.text((220,row*step+63),"Image: " + str(worstImageNum),font=font, fill=(0,0,0))
row += 1
canvas.save("Part3Output.jpg", "JPEG")
def s2i(jsonsig, input_image=BLANK_IMAGE, pincolor=(0,0,255),
force_no_sig_image=False, nosig_image=NO_SIG_IMAGE):
if force_no_sig_image==True:
im = Image.open(nosig_image)
return im
#Decode valid json or return None
try:
l=json.loads(jsonsig)
except(exceptions.ValueError):
im = Image.open(nosig_image)
return im
#Make sure its a signature or return None
if not l[0].has_key('lx') or not l[0].has_key('my'):
im = Image.open(nosig_image)
return im
#create a blank image from out template
im = Image.open(input_image)
#create a drawing object
draw = ImageDraw.Draw(im)
#iterate over our list of points and draw corresponding lines
for i in l:
draw.line((i['lx'], i['ly'], i['mx'], i['my']), fill=pincolor, width=1)
#delete our draw object (cleanup and free the memory)
del draw
# save image
#im.save(output_image, "PNG")
return im
def imagen():
img = Image.open("prueba.png")
img2= Image.open("prueba.png")
img6 =Image.open("prueba.png")
ancho,alto = img.size
img = eg(img,ancho,alto,img2)
return img, ancho, alto
def visit_image(self, node):
''' EMPTY
uri CDATA #REQUIRED
alt CDATA #IMPLIED
height NMTOKEN #IMPLIED
width NMTOKEN #IMPLIED
scale NMTOKEN #IMPLIED
'''
attrs = node.attributes
# TODO: scale
uri = node.attributes['uri']
try:
img = Image.open(uri)
except IOError:
uri = uri[3:]
img = Image.open(uri)
w, h = img.size
print '%dx%d %s' % (w, h, uri)
if h > 420:
nw = int((w * 420) / float(h))
nh = 420
else:
nw, nh = w, h
self.w('<image filename="../%s" width="%d" height="%d" />' %
(uri, nw, nh))
def open(url):
"""
"""
bytes = StringIO(urlopen(url).read())
image = Image.open(bytes)
try:
image.load()
except IOError:
pass
else:
return image
s, h, path, p, q, f = urlparse(url)
head, tail = splitext(path)
handle, input_filename = mkstemp(prefix='imagemath-', suffix=tail)
write(handle, bytes.getvalue())
close(handle)
handle, output_filename = mkstemp(prefix='imagemath-', suffix='.jpg')
close(handle)
try:
convert = Popen(('convert', input_filename, output_filename))
convert.wait()
if convert.returncode != 0:
raise IOError("Couldn't read %(url)s even with convert" % locals())
return Image.open(output_filename)
finally:
unlink(input_filename)
unlink(output_filename)
def main(argv):
"""
main loop
"""
for arg in argv:
print arg
if argv[1] == '-f':
try:
image = Image.open(ABSFILEPATH + '/' + argv[2])
blogsize(image, argv[2])
image.show()
except Exception:
print 'cant open'
elif argv[1] == '-blog':
for name in os.listdir(os.getcwd()):
try:
if name[-3:] == 'jpg' or name[-3:] == 'JPG' :
image = Image.open(ABSFILEPATH + '/' + name)
blogsize(image, name)
except Exception:
pass
elif argv[1] == '-flickr':
#for root,dirs,files in os.walk(ABSFILEPATH.join(argv[1])):
for name in os.listdir(os.getcwd()):
try:
if name[-3:] == 'jpg' or name [-3:] == 'JPG' :
image = Image.open(ABSFILEPATH + '/' + name)
flickrsize(image, name)
except Exception:
pass
else:
print 'unknown parameter!'
def __diff(img1, img2):
_img1, _img2 = Image.open(img1), Image.open(img2)
__img1, __img2 = _img1.load(), _img2.load()
wdiff, hdiff, wans, hans, wsame, hsame = {}, {}, 0, 0, 0, 0
for w in range(-3, 8):
wdiff[w] = 0
for h in range(-10, 10):
hdiff[h] = 0
for x in range(_img1.size[0]):
for y in range(_img1.size[1]):
try:
if __img1[x, y] == __img2[x+w, y+h]:
wdiff[w] = wdiff[w] + 1
hdiff[h] = hdiff[h] + 1
except IndexError:
pass
for k, v in wdiff.items():
if v > wsame:
wans, wsame = k, v
for k, v in hdiff.items():
if v > hsame:
hans, hsame = k, v
print(wans, hans)
return (wans, hans)
def main():
pool = multiprocessing.Pool() # For the parallel map()
if sys.argv[1] == "decode":
source = Image.open(sys.argv[1])
print ("Decoding the encoded...")
secret = decode (sys.argv[1], 3, 2, 3)
output = Image.new("L", source.size)
output.putdata(secret)
output.save(sys.argv[2])
elif sys.argv[1] == "encode":
im = Image.open(sys.argv[1])
print ("Chopping Bits...")
secret = hidden(sys.argv[1])
print ("Cooking the Pot...")
messenger = carrier(sys.argv[2])
print ("Potting the Bits...")
final = zip (secret, messenger)
# In the first versions the variables used a disproportionate amount of
# RAM
del (secret)
del (messenger)
final = list (pool.map (add, final))
final = list (pool.map (tuple, final))
output = Image.new("RGB",im.size)
output.putdata(final)
output.save(sys.argv[3])
def convertToPNG(imageData): inbuff = StringIO.StringIO(imageData) outbuff = StringIO.StringIO() Image.open(inbuff).save(outbuff, "PNG") outbuff.seek(0) imageData = outbuff.read() return imageData
def getTemplate(img_test):
im1 = Image.open('Template1/0130')
im2 = Image.open('Template1/3214')
im3 = Image.open('Template1/7564')
im4 = Image.open('Template1/7849')
bw_im1 = im1.convert('1')
bw_im2 = im2.convert('1')
bw_im3 = im3.convert('1')
bw_im4 = im4.convert('1')
#bw_im1 = numpy.ndarray(im1)
dic_0 = np.asarray(bw_im1.crop((0,0,10,10)))
dic_1 = np.asarray(bw_im1.crop((10,0,20,10)))
dic_2 = np.array(bw_im2.crop((10,0,20,10)))
dic_3 = np.array(bw_im2.crop((0,0,10,10)))
dic_4 = np.array(bw_im2.crop((30,0,40,10)))
dic_5 = np.array(bw_im3.crop((10,0,20,10)))
dic_6 = np.array(bw_im3.crop((20,0,30,10)))
dic_7 = np.array(bw_im3.crop((0,0,10,10)))
dic_8 = np.array(bw_im4.crop((10,0,20,10)))
dic_9 = np.array(bw_im4.crop((30,0,40,10)))
Dict = [dic_0,dic_1,dic_2,dic_3,dic_4,dic_5,dic_6,dic_7,dic_8,dic_9]
dic_0 = np.asarray(dic_0, dtype='bool')
dic_1 = np.asarray(dic_1, dtype='bool')
a = dic_0^dic_1
b = [dic_0,dic_1]
c = b[0]
dic_2 = np.asarray(dic_2, dtype='int32')
img_test = img_test.convert('1')
for i in range(4):
subImg = img_test.crop((i*10,0,(i+1)*10,10))
def run():
pic = Image.open("tests/data/colored_square.jpg").resize((128,128)).convert("RGBA")
pig = Image.open("tests/data/gray_square.gif").resize((128,128)).convert("L")
#color_test(np.asarray(pic).reshape(128**2*4,1))
#gray_test( np.asarray(pig).reshape(128**2 ,1))
pig = Image.open("tests/data/gray_square.gif").resize((640,480)).convert("L")
def compare_images(file1, file2):
"""
Compare two images, pixel by pixel, summing up the differences in every
component and every pixel. Return the magnitude of the difference between
the two images.
file1: A path to the first image file on disk
file2: A path to the second image file on disk
"""
img1 = Image.open(file1)
img2 = Image.open(file2)
if img1.size[0] != img2.size[0] or img1.size[1] != img2.size[1]:
raise ValueError("Images are of different sizes: img1 = (" +
str(img1.size[0]) + " x " + str(img1.size[1]) +
") , img2 = (" + str(img2.size[0]) + " x " +
str(img2.size[1]) + ")")
size = img1.size
img1 = img1.load()
img2 = img2.load()
indices = itertools.product(range(size[0]), range(size[1]))
diff = 0
for i, j in indices:
p1 = img1[i, j]
p2 = img2[i, j]
diff += abs(p1[0] - p2[0]) + abs(p1[1] - p2[1]) + abs(p1[2] - p2[2])
return diff
def mslice( pf, fileout = 'junk.png',field="Density", center="max", width=4) :
newImage = Image.new("RGB", (1070,2000))
print fileout
p = SlicePlot(pf, "x", field, center=center,width=(width,"pc") )
p.set_zlim("Density", 1e-23,1e-19)
p.annotate_velocity(factor=16)
pid = os.getpid()
p.save("junk{0:06d}".format(pid))
p = SlicePlot(pf, "y", field, center=center, width=(4,"pc") )
p.set_zlim("Density", 1e-23,1e-19)
p.annotate_velocity(factor=16)
p.save("junk{0:06d}".format(pid))
file1 = "junk{0:06d}_Slice_x_{1}.png".format(pid,field)
file2 = "junk{0:06d}_Slice_y_{1}.png".format(pid,field)
image1 = Image.open(file1)
image2 = Image.open(file2)
newImage.paste( image1, (0,0))
newImage.paste( image2, (0,1000))
newImage.save(fileout)
os.remove(file1)
os.remove(file2)
def load(n=None):
try:
if not n:
n = nlist[randint(0,J)]
im = Image.open(pjoin(basedir, "dinocomics%06i.png"%n))
wxtest = piltowx(im) # error Interlaced PNGs
# print n,fromimage(im).shape
# assert(fromimage(im).shape == (500,735,3)), "Not the right shape"
# print im.size
while im.size != (735,500): # ignore wrong sized images (guest comics)
# print im.size
# copyPanel(load(1),im,2)
n = nlist[randint(0,J)]
im = Image.open(pjoin(basedir, "dinocomics%06i.png"%n))
wxtest = piltowx(im)
return im
# except AssertionError
except Exception, e:
print "Load Error: %i"%n,e
# import sys
# sys.exit()
# if n < J:
n = n%nlist[-1]
time.sleep(1)
return load(n+1)
def __init__(self):
self.fielddata = []
#image load
self.fieldimg = Image.open("field3.jpg")
self.puyoimg = Image.open("puyo.gif")
w=self.puyoimg.size[0]/6
h=self.puyoimg.size[1]/18
self.colorpuyo=[]
curw=0
curh=0
idx =0
while idx<=5:
tmp=[]
curh=0
while curh<self.puyoimg.size[1]:
im = self.puyoimg.crop((curw,curh,curw+w,curh+h))
im=im.convert("RGBA")
tmp.append(im)
curh+=h
self.colorpuyo.append(tmp)
idx+=1
curw+=w
#trans init
self.colortoint={"R":0,"B":1,"Y":2,"G":3,"P":4,"O":5}
#up right down left
#1,2,4,8
self.dxy=[[0,-1],[1,0],[0,1],[-1,0]]
self.dconidx=[1,2,4,8]
"""
0,1,4,5,8,9,12,13,2,3,6,7,10,11,14,15
"""
self.connectpattern={0:0,1:1,4:2,5:3,8:4,9:5,12:6,13:7,2:8
,3:9,6:10,7:11,10:12,11:13,14:14,15:15}
