def process(self, image): yield 'Start...', image simage = ImageOps.autocontrast(image, 20) s_width, s_height = image.size[0] / 2, image.size[1] / 2 simage = image.resize((s_width, s_height)) simage = colors.convert_to_luminosity(simage) simage = simage.filter(ImageFilter.SMOOTH) yield 'Mask...', simage mask = ImageEnhance.Brightness(simage).enhance(2) mask = ImageOps.posterize(mask, 2) mask = ImageOps.autocontrast(mask, 20) yield 'Curves...', mask simage = ImageEnhance.Contrast(simage).enhance(2) yield 'posterize...', simage simage = ImageOps.posterize(simage, 2) yield 'Red...', simage red_img = self._apply_color(simage, (255, 0, 0), mask) yield 'green...', red_img green_img = self._apply_color(simage, (0, 255, 0), mask) yield 'blue...', green_img blue_img = self._apply_color(simage, (0, 0, 255), mask) yield 'yellow...', blue_img yellow_img = self._apply_color(simage, (255, 255, 0), mask) yield 'Merge...', yellow_img image = image.copy() image.paste(red_img, (0, 0, s_width, s_height)) image.paste(green_img, (s_width, 0, s_width * 2, s_height)) image.paste(yellow_img, (0, s_height, s_width, s_height * 2)) image.paste(blue_img, (s_width, s_height, s_width * 2, s_height * 2)) yield 'Done', image
def process(self, image): yield 'Start...', image simage = ImageOps.autocontrast(image, 20) s_width, s_height = image.size[0] / 2, image.size[1] / 2 simage = image.resize((s_width, s_height)) simage = simage.filter(ImageFilter.SMOOTH) yield 'Mask...', simage mask = ImageEnhance.Brightness(simage).enhance(2) mask = ImageOps.posterize(mask, 2) mask = ImageOps.autocontrast(mask, 20) yield 'posterize...', mask simage = ImageEnhance.Brightness(simage).enhance(2) simage = ImageOps.equalize(simage) simage = simage.filter(ImageFilter.SMOOTH_MORE) simage = ImageOps.posterize(simage, 1) yield 'Red...', simage red_img = self._apply_color(simage, 0.25, mask) yield 'green...', red_img green_img = self._apply_color(simage, 0.75, mask) yield 'blue...', green_img blue_img = self._apply_color(simage, 1, mask) yield 'yellow...', blue_img yellow_img = self._apply_color(simage, 0.5, mask) yield 'Merge...', yellow_img image = image.copy() image.paste(red_img, (0, 0, s_width, s_height)) image.paste(green_img, (s_width, 0, s_width * 2, s_height)) image.paste(yellow_img, (0, s_height, s_width, s_height * 2)) image.paste(blue_img, (s_width, s_height, s_width * 2, s_height * 2)) yield 'Done', image
def process(self, image):
yield 'Start...', image
s_width, s_height = image.size[0] / 2, image.size[1] / 2
simage = image.resize((s_width, s_height))
yield 'posterize...', simage
simage = simage.convert("L")
yield 'posterize 2...', simage
simage = ImageEnhance.Brightness(simage).enhance(2)
simage = ImageOps.equalize(simage)
yield 'posterize 3...', simage
simage = ImageOps.autocontrast(simage, 20)
yield 'posterize 4...', simage
simage = ImageOps.posterize(simage, 1)
colors = []
colors.extend([255] * 128)
colors.extend([0] * 128)
colors.extend([0] * 128)
colors.extend([255] * 128)
colors.extend([0] * 256)
simage = simage.convert("RGB").point(colors)
yield 'Red...', simage
red_img = self._apply_color(simage, 0.82)
yield 'green...', red_img
green_img = self._apply_color(simage, 0.75)
yield 'blue...', green_img
blue_img = self._apply_color(simage, 0)
yield 'yellow...', blue_img
yellow_img = self._apply_color(simage, 0.6)
yield 'Merge...', yellow_img
image = image.copy()
image.paste(red_img, (0, 0, s_width, s_height))
image.paste(green_img, (s_width, 0, s_width * 2, s_height))
image.paste(yellow_img, (0, s_height, s_width, s_height * 2))
image.paste(blue_img, (s_width, s_height, s_width * 2, s_height * 2))
yield 'Done', image
def process(self, image):
yield 'Start...', image
s_width, s_height = image.size[0] / 3, image.size[1] / 3
simage = image.resize((s_width, s_height))
yield 'posterize...', simage
simage = simage.convert("L")
simage = ImageEnhance.Brightness(simage).enhance(2)
simage = ImageOps.equalize(simage)
simage = ImageOps.autocontrast(simage, 20)
simage = ImageOps.posterize(simage, 1)
yield 'colors...', simage
colormap = []
colormap.extend([255] * 128)
colormap.extend([0] * 128)
colormap.extend([0] * 128)
colormap.extend([255] * 128)
colormap.extend([0] * 256)
simage = simage.convert("RGB").point(colormap)
image = image.copy()
for x in xrange(3):
for y in xrange(3):
yield 'Img %d...' % (x * 3 + y + 1), simage
simg = colors.apply_hue_lightness_saturation(simage,
((x * 3 + (2.9 - y)) / 10.), 0, 1, True)
image.paste(simg, (x * s_width, y * s_height,
(x + 1) * s_width, (y + 1) * s_height))
yield 'Done', image
def posterize(image, bits, amount=100):
"""Apply a filter
- amount: 0-1"""
image = imtools.convert_safe_mode(image)
posterized = imtools.remove_alpha(image)
posterized = ImageOps.posterize(posterized, bits)
if imtools.has_alpha(image):
imtools.put_alpha(posterized, imtools.get_alpha(image))
if amount < 100:
return imtools.blend(image, posterized, amount / 100.0)
return posterized
def posterize(image, bits, amount=100):
"""Apply a filter
- amount: 0-1"""
image = imtools.convert_safe_mode(image)
posterized = imtools.remove_alpha(image)
posterized = ImageOps.posterize(posterized, bits)
if imtools.has_alpha(image):
imtools.put_alpha(posterized, imtools.get_alpha(image))
if amount < 100:
return imtools.blend(image, posterized, amount / 100.0)
return posterized
def get_hash(_im, size=__CONST_SIZE, posterize=False):
im = Image.open(_im).resize(size).convert('L')
if posterize:
im = ImageOps.posterize(im, __CONST_POSTERIZE_BIT)
pixels = im.load()
avg = sum([pixels[coord] for coord in __CONST_COORDINATES]) / __CONST_PIXEL_COUNT_FLOAT
_hash = reduce(__CONST_HASH_REDUCE_FUNC(avg, pixels),
__CONST_PIXEL_COUNT_LIST,
0) >> 1 # after 64 left-shifts, the result is 65bit, need shift right once to get a 64bit hash
return _hash
def processImage(indir, filename, cam, master_image=None):
infilepathfilename = inpath(indir, filename)
thumbpathfilename = thumbpath(indir, filename)
mediumpathfilename = mediumpath(indir, filename)
print "Processing %s\n" % (infilepathfilename)
thumbexists = os.path.exists(thumbpathfilename)
mediumexists = os.path.exists(mediumpathfilename)
cropped_img = None
if not (thumbexists and mediumexists):
try :
img = Image.open(infilepathfilename)
except IOError:
print "Cannot open file %s" % infilepathfilename
cropped_img = crop_image(img, cam.croparea)
if (not mediumexists) and (not cropped_img==None) :
cropped_img.thumbnail(mediumsize, Image.ANTIALIAS)
try :
cropped_img.save(mediumpathfilename, "JPEG")
except IOError:
print "Cannot save mediumres image %s" % mediumpathfilename
if (not thumbexists) and (not cropped_img==None):
try:
cropped_img.thumbnail(thumbsize, Image.ANTIALIAS)
except IOError:
print "Cannot make thumbnail %s" % thumbpathfilename
if master_image != None:
#compare current image with Master and make a box around the change
diff_image = ImageOps.posterize(ImageOps.grayscale(ImageChops.difference(master_image, cropped_img)),1)
rect = diff_image.getbbox()
if rect != None:
ImageDraw.Draw(cropped_img).rectangle(rect, outline="yellow", fill=None)
try :
cropped_img.save(thumbpathfilename, "JPEG")
except IOError:
print "Cannot save thumbnail %s" % thumbpathfilename
# done processing, move raw file to storage, so we won't process it again.
infilepathfilename = inpath(indir, filename)
hirespathfilename = hirespath(indir, filename)
shutil.move(infilepathfilename,hirespathfilename)
# return the thumbnail image
return cropped_img
def render(self,im):
im2 = im.copy()
if self.grayscale:
im2 = ImageOps.grayscale(im2)
im2 = ImageOps.colorize(im2,"black","white")
if self.posterized:
im2 = ImageOps.autocontrast(im2)
im2 = ImageOps.posterize(im2,self.posterize_bits)
im2 = ImageOps.autocontrast(im2)
if self.gridlines > 0:
im2 = draw_grid(im2,self.gridlines)
data = im2.tostring()
surface = pygame.image.fromstring(data, im2.size, im2.mode)
screen.blit(surface,(0,0))
pygame.display.flip()
def __get_hash(im_path, size=(8, 8), posterize=False):
im = Image.open(im_path).resize(size).convert('L')
if posterize:
im = ImageOps.posterize(im, 6) # 64 = 2 ** 6
pixels = im.load()
avg = 0
for i in range(size[0]):
for j in range(size[1]):
avg += pixels[i, j]
avg /= 64.
_hash = 0
for i in range(size[0] * size[1]):
_hash += 0 if pixels[i % 8, i / 8] < avg else 1
_hash <<= 1
return hex(_hash >> 1)
from __future__ import division
import Image
import ImageOps
source_files = [
'../../data/vort_sim/single_vort_sim_0001.tif',
'../../data/vort_sim/single_vort_sim_0002.tif'
]
for source_file in source_files:
dest_file = source_file.replace('.tif', '.txt')
with open(dest_file, 'w') as f:
original = Image.open(source_file)
bit_8 = original.convert("L")
bit_4 = ImageOps.posterize(bit_8, 4)
for pix in bit_4.getdata():
f.write(str(pix) + '\n')
def processImage(indir, filename, cam, master_image=None):
global images_to_process
logging.info("Starting processImage()")
images_to_process = True # only for testing purposes
try:
infilepathfilename = inpath(indir, filename)
thumbpathfilename = thumbpath(indir, filename)
mediumpathfilename = mediumpath(indir, filename)
logging.info("Processing %s" % (infilepathfilename))
thumbexists = os.path.exists(thumbpathfilename)
mediumexists = os.path.exists(mediumpathfilename)
cropped_img = None
if not (thumbexists and mediumexists):
img = None
try :
img = Image.open(infilepathfilename)
except IOError, e:
logging.error("Cannot open file %s: %s" % (infilepathfilename, repr(e)))
if img:
cropped_img = crop_image(img, cam.croparea)
del img # close img
if cropped_img == None:
logging.error("Failed to crop image %s, croparea: %s" % (infilepathfilename, str(cam.croparea)))
# crop failure is likely due to attempting to process the
# incoming image while it is still being uploaded. Return from
# processImage() here and leave image in incoming dir--don't
# mark it "done" by moving it to the hires dir. When we get
# around to processing this image again, it will probably work
# correctly. However, if the image mod time is more than an
# hour old, it's not likely to still be uploading, so assume
# it's just broken and let the normal code move it to hires
# so we don't try to process it again
if os.path.getmtime(infilepathfilename) >= (time.time() - 3600):
logging.info("Returning from processImage()" \
+ ", leaving original image in place")
return cropped_img
if (not mediumexists) and (not cropped_img==None) :
cropped_img.thumbnail(mediumsize, Image.ANTIALIAS)
try :
cropped_img.save(mediumpathfilename, "JPEG")
except IOError:
logging.error("Cannot save mediumres image %s" % mediumpathfilename)
if (not thumbexists) and (not cropped_img==None):
try:
cropped_img.thumbnail(thumbsize, Image.ANTIALIAS)
except IOError:
logging.error("Cannot make thumbnail %s" % thumbpathfilename)
if master_image != None:
#compare current image with Master and make a box around the change
diff_image = ImageOps.posterize(ImageOps.grayscale(ImageChops.difference(master_image, cropped_img)),1)
rect = diff_image.getbbox()
if rect != None:
ImageDraw.Draw(cropped_img).rectangle(rect, outline="yellow", fill=None)
try :
cropped_img.save(thumbpathfilename, "JPEG")
except IOError:
logging.error("Cannot save thumbnail %s" % thumbpathfilename)
# done processing, move raw file to storage, so we won't process it again.
infilepathfilename = inpath(indir, filename)
hirespathfilename = hirespath(indir, filename)
shutil.move(infilepathfilename,hirespathfilename)
from __future__ import division
import Image
import ImageOps
source_files = ['../../data/vort_sim/single_vort_sim_0001.tif', '../../data/vort_sim/single_vort_sim_0002.tif']
for source_file in source_files:
dest_file = source_file.replace('.tif', '.txt')
with open(dest_file, 'w') as f:
original = Image.open(source_file)
bit_8 = original.convert("L")
bit_4 = ImageOps.posterize(bit_8, 4)
for pix in bit_4.getdata():
f.write(str(pix)+'\n')
def processImage(indir, filename, cam, master_image=None):
global images_to_process
logging.info("Starting processImage()")
images_to_process = True # only for testing purposes
try:
infilepathfilename = inpath(indir, filename)
thumbpathfilename = thumbpath(indir, filename)
mediumpathfilename = mediumpath(indir, filename)
logging.info("Processing %s" % (infilepathfilename))
thumbexists = os.path.exists(thumbpathfilename)
mediumexists = os.path.exists(mediumpathfilename)
cropped_img = None
if not (thumbexists and mediumexists):
img = None
try:
img = Image.open(infilepathfilename)
except IOError, e:
logging.error("Cannot open file %s: %s" %
(infilepathfilename, repr(e)))
if img:
cropped_img = crop_image(img, cam.croparea)
del img # close img
if cropped_img == None:
logging.error("Failed to crop image %s, croparea: %s" %
(infilepathfilename, str(cam.croparea)))
# crop failure is likely due to attempting to process the
# incoming image while it is still being uploaded. Return from
# processImage() here and leave image in incoming dir--don't
# mark it "done" by moving it to the hires dir. When we get
# around to processing this image again, it will probably work
# correctly. However, if the image mod time is more than an
# hour old, it's not likely to still be uploading, so assume
# it's just broken and let the normal code move it to hires
# so we don't try to process it again
if os.path.getmtime(infilepathfilename) >= (time.time() -
3600):
logging.info("Returning from processImage()" \
+ ", leaving original image in place")
return cropped_img
if (not mediumexists) and (not cropped_img == None):
cropped_img.thumbnail(mediumsize, Image.ANTIALIAS)
try:
cropped_img.save(mediumpathfilename, "JPEG")
except IOError:
logging.error("Cannot save mediumres image %s" %
mediumpathfilename)
if (not thumbexists) and (not cropped_img == None):
try:
cropped_img.thumbnail(thumbsize, Image.ANTIALIAS)
except IOError:
logging.error("Cannot make thumbnail %s" %
thumbpathfilename)
if master_image != None:
#compare current image with Master and make a box around the change
diff_image = ImageOps.posterize(
ImageOps.grayscale(
ImageChops.difference(master_image, cropped_img)),
1)
rect = diff_image.getbbox()
if rect != None:
ImageDraw.Draw(cropped_img).rectangle(rect,
outline="yellow",
fill=None)
try:
cropped_img.save(thumbpathfilename, "JPEG")
except IOError:
logging.error("Cannot save thumbnail %s" %
thumbpathfilename)
# done processing, move raw file to storage, so we won't process it again.
infilepathfilename = inpath(indir, filename)
hirespathfilename = hirespath(indir, filename)
shutil.move(infilepathfilename, hirespathfilename)
##PIL_IMAGE
import PIL
import Image
import io
import ImageOps
import ImageFilter
image = Image.open("Cartilagini.png")
a=ImageOps.solarize(image, threshold=128)
a.show()
bits=2
b=ImageOps.posterize(image, bits)
b.show()
imout1 = image.filter(ImageFilter.EDGE_ENHANCE)
imout1.show()
imout2 = image.filter(ImageFilter.EDGE_ENHANCE_MORE)
imout2.show()
imout3 = image.filter(ImageFilter.EMBOSS)
imout3.show()
imout4 = image.filter(ImageFilter.FIND_EDGES)
import pycisco.cipimage as cipimage
import pycisco.cmxml as cmxml
WIDTH = 132
HEIGHT = 64
if __name__ == '__main__':
import sys
fname = sys.argv[1]
outfname = sys.argv[2]
im = Image.open(fname)
#im = im.resize((WIDTH, HEIGHT))
im_l = im.convert('L')
im_post = ImageOps.posterize(im_l, 2)
im_post.show()
data = dump_cip(im_post)
width, height = im_l.size
outf = open(outfname, 'w')
xml = cmxml.PHONE_IMAGE % {'width': width, 'height': height, 'data': data}
outf.write(xml)
