def put_contour(image,
size=1,
offset=0,
contour_color=0,
fill_color=0,
opacity=100,
include_image=True):
if not has_transparency(image):
return put_border(image, size, offset, contour_color, fill_color,
opacity, include_image)
image = image.convert('RGBA')
mask = imtools.get_alpha(image)
w, h = image.size
outer_mask = mask.resize(
(w + 2 * (size + offset), h + 2 * (size + offset)), Image.ANTIALIAS)
inner_mask = mask.resize((w + 2 * offset, h + 2 * offset), Image.ANTIALIAS)
inner_mask = ImageOps.expand(inner_mask, border=size, fill=0)
paste(outer_mask, (255 * opacity) / 100, mask=inner_mask)
if include_image:
image = ImageOps.expand(image, border=size + offset, fill=(0, 0, 0, 0))
mask = ImageOps.expand(mask, border=size + offset, fill=0)
paste(outer_mask, 255, mask=mask)
contour = ImageOps.colorize(outer_mask, (255, 255, 255), contour_color)
paste(contour, fill_color, mask=inner_mask)
if include_image:
paste(contour, image, mask=image)
contour.putalpha(outer_mask)
return contour
def load_image(self, idx):
filename = self.X[idx]
import Image
import ImageOps
# print "loading ", self.X[idx]
image = Image.open(self.X[idx])
width, height = image.size
if width > height:
delta2 = int((width - height)/2)
image = ImageOps.expand(image, border=(0, delta2, 0, delta2))
else:
delta2 = int((height - width)/2)
image = ImageOps.expand(image, border=(delta2, 0, delta2, 0))
image = image.resize((self.width, self.width), resample=Image.BICUBIC)
try:
imagenp = np.array(image.getdata()).reshape((self.width,self.width,3))
imagenp = imagenp.transpose((2,0,1)) # move color channels to beginning
except:
# print "reshape failure (black and white?)"
imagenp = self.load_image(np.random.randint(len(self.X)))
return imagenp.astype(theano.config.floatX)
def put_contour(image, size=1, offset=0, contour_color=0, fill_color=0,
opacity=100, include_image=True):
if not has_transparency(image):
return put_border(
image, size, offset, contour_color, fill_color,
opacity, include_image)
image = image.convert('RGBA')
mask = imtools.get_alpha(image)
w, h = image.size
outer_mask = mask.resize(
(w + 2 * (size + offset), h + 2 * (size + offset)),
Image.ANTIALIAS)
inner_mask = mask.resize(
(w + 2 * offset, h + 2 * offset),
Image.ANTIALIAS)
inner_mask = ImageOps.expand(inner_mask, border=size, fill=0)
paste(outer_mask, (255 * opacity) / 100, mask=inner_mask)
if include_image:
image = ImageOps.expand(image, border=size + offset, fill=(0, 0, 0, 0))
mask = ImageOps.expand(mask, border=size + offset, fill=0)
paste(outer_mask, 255, mask=mask)
contour = ImageOps.colorize(outer_mask, (255, 255, 255), contour_color)
paste(contour, fill_color, mask=inner_mask)
if include_image:
paste(contour, image, mask=image)
contour.putalpha(outer_mask)
return contour
def make_image_square(image, img_sz, outfile=None, overwrite=False):
"""
Will resize an image.
Parameters
----------
image : Image.Image or str
The image to transform. If str it is interpreted to be a path.
img_sz : int
New size for that image.
Returns
-------
image : Image.image
The transformed image.
"""
if isinstance(image, basestring):
image = Image.open(image)
#NEAREST, BILINEAR, BICUBIC, ANTIALIAS
#image = image.resize((img_sz, img_sz), resample=Image.BICUBIC)
width, height = image.size
if width > height:
delta2 = int((width - height)/2)
image = ImageOps.expand(image, border=(0, delta2, 0, delta2))
else:
delta2 = int((height - width)/2)
image = ImageOps.expand(image, border=(delta2, 0, delta2, 0))
image = image.resize((img_sz, img_sz), resample=Image.BICUBIC)
if not outfile is None:
if image.mode == 'P':
fbase, ext = os.path.splitext(outfile)
if ext == '.jpg' or ext == '.jpeg':
orig_out = outfile
outfile = '%s.png' % fbase
logging.info('%s renamed to %s because jpg '
'does not support palletes',
orig_out, outfile)
if os.path.isfile(outfile):
if not overwrite:
logging.info('%s exists; skipping', outfile)
return image
orig_out = outfile
for ext in ('%s.png', '%s.jpg', '%s.bmp', '%s.tiff', '%s'):
try:
image.save(outfile)
break
except (KeyError, IOError):
fbase, old_ext = os.path.splitext(outfile)
outfile = ext % fbase
if ext == '%s':
logging.error('unable to save %s', orig_out)
return image
def draw_histogram(pixbuf, height=170, fill=170, text=True):
"""Draw a histogram from <pixbuf> and return it as another pixbuf.
The returned prixbuf will be 262x<height> px.
The value of <fill> determines the colour intensity of the filled graphs,
valid values are between 0 and 255.
If <text> is True a label with the maximum pixel value will be added to
one corner.
"""
im = Image.new('RGB', (258, height - 4), (30, 30, 30))
hist_data = image.pixbuf_to_pil(pixbuf).histogram()
maximum = max(hist_data[:768] + [1])
y_scale = float(height - 6) / maximum
r = [int(hist_data[n] * y_scale) for n in xrange(256)]
g = [int(hist_data[n] * y_scale) for n in xrange(256, 512)]
b = [int(hist_data[n] * y_scale) for n in xrange(512, 768)]
im_data = im.getdata()
# Draw the filling colours
for x in xrange(256):
for y in xrange(1, max(r[x], g[x], b[x]) + 1):
r_px = y <= r[x] and fill or 0
g_px = y <= g[x] and fill or 0
b_px = y <= b[x] and fill or 0
im_data.putpixel((x + 1, height - 5 - y), (r_px, g_px, b_px))
# Draw the outlines
for x in xrange(1, 256):
for y in range(r[x-1] + 1, r[x] + 1) + [r[x]] * (r[x] != 0):
r_px, g_px, b_px = im_data.getpixel((x + 1, height - 5 - y))
im_data.putpixel((x + 1, height - 5 - y), (255, g_px, b_px))
for y in range(r[x] + 1, r[x-1] + 1):
r_px, g_px, b_px = im_data.getpixel((x, height - 5 - y))
im_data.putpixel((x, height - 5 - y), (255, g_px, b_px))
for y in range(g[x-1] + 1, g[x] + 1) + [g[x]] * (g[x] != 0):
r_px, g_px, b_px = im_data.getpixel((x + 1, height - 5 - y))
im_data.putpixel((x + 1, height - 5 - y), (r_px, 255, b_px))
for y in range(g[x] + 1, g[x-1] + 1):
r_px, g_px, b_px = im_data.getpixel((x, height - 5 - y))
im_data.putpixel((x, height - 5 - y), (r_px, 255, b_px))
for y in range(b[x-1] + 1, b[x] + 1) + [b[x]] * (b[x] != 0):
r_px, g_px, b_px = im_data.getpixel((x + 1, height - 5 - y))
im_data.putpixel((x + 1, height - 5 - y), (r_px, g_px, 255))
for y in range(b[x] + 1, b[x-1] + 1):
r_px, g_px, b_px = im_data.getpixel((x, height - 5 - y))
im_data.putpixel((x, height - 5 - y), (r_px, g_px, 255))
if text:
maxstr = 'max: ' + str(maximum)
draw = ImageDraw.Draw(im)
draw.rectangle((0, 0, len(maxstr) * 6 + 2, 10), fill=(30, 30, 30))
draw.text((2, 0), maxstr, fill=(255, 255, 255))
im = ImageOps.expand(im, 1, (80, 80, 80))
im = ImageOps.expand(im, 1, (0, 0, 0))
return image.pil_to_pixbuf(im)
def draw_histogram(pixbuf, height=170, fill=170, text=True):
"""Draw a histogram from <pixbuf> and return it as another pixbuf.
The returned prixbuf will be 262x<height> px.
The value of <fill> determines the colour intensity of the filled graphs,
valid values are between 0 and 255.
If <text> is True a label with the maximum pixel value will be added to
one corner.
"""
im = Image.new('RGB', (258, height - 4), (30, 30, 30))
hist_data = image.pixbuf_to_pil(pixbuf).histogram()
maximum = max(hist_data[:768] + [1])
y_scale = float(height - 6) / maximum
r = [int(hist_data[n] * y_scale) for n in xrange(256)]
g = [int(hist_data[n] * y_scale) for n in xrange(256, 512)]
b = [int(hist_data[n] * y_scale) for n in xrange(512, 768)]
im_data = im.getdata()
# Draw the filling colours
for x in xrange(256):
for y in xrange(1, max(r[x], g[x], b[x]) + 1):
r_px = y <= r[x] and fill or 0
g_px = y <= g[x] and fill or 0
b_px = y <= b[x] and fill or 0
im_data.putpixel((x + 1, height - 5 - y), (r_px, g_px, b_px))
# Draw the outlines
for x in xrange(1, 256):
for y in range(r[x-1] + 1, r[x] + 1) + [r[x]] * (r[x] != 0):
r_px, g_px, b_px = im_data.getpixel((x + 1, height - 5 - y))
im_data.putpixel((x + 1, height - 5 - y), (255, g_px, b_px))
for y in range(r[x] + 1, r[x-1] + 1):
r_px, g_px, b_px = im_data.getpixel((x, height - 5 - y))
im_data.putpixel((x, height - 5 - y), (255, g_px, b_px))
for y in range(g[x-1] + 1, g[x] + 1) + [g[x]] * (g[x] != 0):
r_px, g_px, b_px = im_data.getpixel((x + 1, height - 5 - y))
im_data.putpixel((x + 1, height - 5 - y), (r_px, 255, b_px))
for y in range(g[x] + 1, g[x-1] + 1):
r_px, g_px, b_px = im_data.getpixel((x, height - 5 - y))
im_data.putpixel((x, height - 5 - y), (r_px, 255, b_px))
for y in range(b[x-1] + 1, b[x] + 1) + [b[x]] * (b[x] != 0):
r_px, g_px, b_px = im_data.getpixel((x + 1, height - 5 - y))
im_data.putpixel((x + 1, height - 5 - y), (r_px, g_px, 255))
for y in range(b[x] + 1, b[x-1] + 1):
r_px, g_px, b_px = im_data.getpixel((x, height - 5 - y))
im_data.putpixel((x, height - 5 - y), (r_px, g_px, 255))
if text:
maxstr = 'max: ' + str(maximum)
draw = ImageDraw.Draw(im)
draw.rectangle((0, 0, len(maxstr) * 6 + 2, 10), fill=(30, 30, 30))
draw.text((2, 0), maxstr, fill=(255, 255, 255))
im = ImageOps.expand(im, 1, (80, 80, 80))
im = ImageOps.expand(im, 1, (0, 0, 0))
return image.pil_to_pixbuf(im)
def put_border(image, size, offset, contour_color, fill_color, opacity,
include_image):
if opacity < 100:
fill_color = HTMLColorToRGBA(fill_color, (255 * opacity) / 100)
if not include_image:
w, h = image.size
image = Image.new('RGBA', (w + 2 * offset, h + 2 * offset), fill_color)
else:
image = image.convert('RGBA')
image = ImageOps.expand(image, border=offset, fill=fill_color)
image = ImageOps.expand(image, border=size, fill=contour_color)
return image
def put_border(image, size, offset, contour_color, fill_color, opacity,
include_image):
if opacity < 100:
fill_color = HTMLColorToRGBA(fill_color, (255 * opacity) / 100)
if not include_image:
w, h = image.size
image = Image.new('RGBA', (w + 2 * offset, h + 2 * offset), fill_color)
else:
image = image.convert('RGBA')
image = ImageOps.expand(image, border=offset, fill=fill_color)
image = ImageOps.expand(image, border=size, fill=contour_color)
return image
def update_preview(self, *args):
self.im_cropped = self.im_source.crop((self.adj_x1.value,self.adj_y1.value,\
self.adj_x2.value,self.adj_y2.value))
prev = self.im_cropped
prev = ImageOps.expand(prev, border=10, fill=(208, 32, 144))
self.image2.set_from_pixbuf(Image_to_GdkPixbuf(prev))
def img_from_tex(tex, font_size=20):
figure = matplotlib.figure.Figure(None, facecolor='white')
#canvas = matplotlib.backends.backend_wxagg.FigureCanvasWxAgg(None, -1, figure)
canvas = matplotlib.backends.backend_wxagg.FigureCanvasAgg(figure)
font_size = font_size
tex = "${0}$".format(tex)
figure.clear()
figure.text(0.05, 0.5, tex, size=font_size)
canvas.draw()
filename = 'equ.png'
figure.savefig(filename, dpi=600)
img = Image.open(filename)
imginv = ImageChops.invert(img.convert('L'))
box = imginv.getbbox()
img = img.crop(box)
img = ImageOps.expand(img, border=10, fill=(255, 255, 255))
img.save(filename)
return img
def OnSaveToFileBtn(self, event):
if not self.math_panel.renderError:
filename = 'equ.png'
self.math_panel.figure.savefig(filename, dpi=300)
pilImg = Image.open(filename)
# Find the ordinates of the minimally enclosing bounding box.
#
# Create a simplified and inverted version of the original image to examine.
invertedImage = ImageChops.invert(pilImg.convert('L'))
# Get the bounding box's ordinates. Works on any image with a black background.
box = invertedImage.getbbox()
pilImg = pilImg.crop(box)
# Add back a thin border padding
pilImg = ImageOps.expand(pilImg, border=10, fill=(255, 255, 255))
# Save the image to a disk file. Only PNG and TIFF formats are non-destructive.
pilImg.save(filename)
else:
pass
def main():
numpy.set_printoptions(threshold=numpy.nan)
# Open the image
img = Image.open(sys.argv[1])
# Threshold the image
img = img.convert('L')
img = ImageOps.expand(img, border=1, fill='white')
img = numpy.array(img)
img = binarize(img)
"""
img = [ [0,0,0,0,0,0,0,0,0,0],
[0,1,1,0,1,1,1,0,1,0],
[0,1,1,0,1,0,1,0,1,0],
[0,1,1,1,1,0,0,0,1,0],
[0,0,0,0,0,0,0,0,1,0],
[0,1,1,1,1,0,1,0,1,0],
[0,0,0,0,1,0,1,0,1,0],
[0,1,1,1,1,0,0,0,1,0],
[0,1,1,1,1,0,1,1,1,0],
[0,0,0,0,0,0,0,0,0,0]]
"""
img = ccl4(img)
# Colour the image using labels
coloured_img = colourize(img)
# Show the coloured image
coloured_img.show()
def tex2img(tex, filename="equ.png", font_size=20):
font_size = 20
figure = matplotlib.figure.Figure(None, facecolor=(0, 0, 0, 0))
canvas = matplotlib.backends.backend_agg.FigureCanvasAgg(figure)
font_size = font_size
tex = "${0}$".format(tex)
figure.clear()
figure.text(0.05, 0.5, tex, size=font_size)
canvas.draw()
png = "equ.png"
figure.savefig(png, transparent=True, dpi=300, format="png")
img = Image.open(png)
imginv = ImageChops.invert(img.convert('L'))
box = imginv.getbbox()
img = img.crop(box)
img = ImageOps.expand(img, border=10, fill=(255, 255, 255, 0))
img.save(png, format="png")
return img
def update_preview(self,*args):
self.im_cropped = self.im_source.crop((self.adj_x1.value,self.adj_y1.value,\
self.adj_x2.value,self.adj_y2.value))
prev = self.im_cropped
prev = ImageOps.expand(prev, border=10, fill=(208,32,144))
self.image2.set_from_pixbuf(Image_to_GdkPixbuf(prev))
def resizeForPrinter(self,img):
width,height=img.size
if width>384:
img=img.crop(((width/2)-(height/2),0,(width/2)+(height/2),height))
img = ImageOps.expand(img,border=5,fill='white')
img=img.resize((384,384))
return img
def dynamicBanner(request, serverid):
"""
Create dynamic banner
"""
# variables
info = Server.objects.get(pk=serverid)
servername = str(info.name).upper()
address = str(info.ip).upper()
port = str(info.port).upper()
online = str("Online").upper()
offline = str("Offline").upper()
players = str(info.players)
maxplayers = str(info.maxplayers)
text = str("Players online.").upper()
#loading minotar head
fd = urllib.urlopen("https://minotar.net/avatar/" + info.owner + "/30")
head = cStringIO.StringIO(fd.read())
# image setup + creation
im = Image.open(STATIC_ROOT + "/images/serverbanner.png")
im2 = Image.open(head)
ImageOps.expand(im2,border=5, fill=(255,255,255))
im.paste(im2,(300,5))
draw = ImageDraw.Draw(im)
# image text + options
font = ImageFont.truetype(STATIC_ROOT + "/images/heavy_dock11.otf", 15)
upfont = ImageFont.truetype(STATIC_ROOT + "/images/heavy_dock11.otf", 30)
colour = (255, 255, 255)
draw.text((5, 0), servername, font=font, fill=colour)
draw.text((5, 45), address + ":" + port, font=font, fill=colour)
if info.online == True:
draw.text((350, 10), online, font=upfont, fill=(0, 255, 0))
draw.text((5, 30), players + "/" + maxplayers + " " + text , font=font, fill=colour)
else:
draw.text((340, 10), offline, font=upfont, fill=(255, 0, 0))
draw.text((5, 30), '0' + "/" + '0' + " " + text , font=font, fill=colour)
# rendering for response in browser
response = HttpResponse(mimetype="image/png")
im.save(response, "PNG")
return response
def faiesalva(urlo, i):
URL = goo_shorten_url(urlo)
qr = QRCode(version=1, error_correction=ERROR_CORRECT_H, box_size=20)
qr.add_data(URL)
qr.make()
im = qr.make_image()
im = ImageOps.expand(im,border=(0,50,0,80),fill='white')
draw = ImageDraw.Draw(im)
lines = textwrap.wrap(URL, width = 41)
y_text = 760
for line in lines:
width, height = font.getsize(line)
draw.text((80, y_text), line, font = font, fill = 'black')
y_text += height
im = ImageOps.expand(im,border=(0,0,2,2),fill='black')
im.save("%s/%d.png" %(outdir, i))
def generate_thumbnail(self, im, size, file_name):
if size in [50, 25]:
# ensure that perfect squares:
im.thumbnail((size * 2, size * 2), Image.ANTIALIAS)
im = im.crop([0, 0, size - 2, size - 2])
# for some reason, ImageOps.expand throws an error
# for some files:
im = ImageOps.expand(im, border=2, fill=(255, 255, 255, 255))
else:
im.thumbnail((size, size), Image.ANTIALIAS)
return self.pil_to_django_file(im, file_name)
def generate_thumbnail(self, im, size, file_name):
if size in [50, 25]:
# ensure that perfect squares:
im.thumbnail((size * 2, size * 2), Image.ANTIALIAS)
im = im.crop([0, 0, size - 2, size - 2])
# for some reason, ImageOps.expand throws an error
# for some files:
im = ImageOps.expand(im, border=2, fill=(255, 255, 255, 255))
else:
im.thumbnail((size, size), Image.ANTIALIAS)
return self.pil_to_django_file(im, file_name)
def outliner(orig_image):
orig_data = orig_image.load()
image = ImageOps.expand(orig_image, 1, 255)
polygons = []
ds = [(1,0), (0,1), (-1,0), (0,-1)]
ns = [(0,0), (-1,0), (-1,-1), (0,-1)]
data = image.load()
while True:
polygon = []
d = 0
(px, py) = find_first(image)
if (px, py) == (-1, -1):
# no more black pixels, terminate
return polygons
polygon.append((px, py))
done = False
while not done:
(x,y) = map(sum, zip((px,py),ns[d]))
(x1,y1) = map(sum, zip((px,py),ns[(d+3)%4]))
nextr = data[x,y]
nextl = data[x1,y1]
if nextl == nextr:
polygon.append((px,py))
if nextr > 0: # both white, turn right
d = (d+1)%4
else: # both black, turn left
d = (d+3)%4
(px,py) = map(sum, zip((px,py),ds[d]))
else:
if nextl > 0: # left white, right black - go straight
(px,py) = map(sum, zip((px,py),ds[d])) # dont append
else: # turning dilemma, go ... left
polygon.append((px, py))
d = (d+3)%4
(px,py) = map(sum, zip((px,py),ds[d]))
if (px, py) == polygon[0]:
done = True
invert_pixels(image, polygon)
polygons.append([tuple(map(sum, zip(x,(-1,-1)))) for x in polygon])
def generate_barcode(input_string, tempdir):
ean = barcode.get("UPCA")
# select output image size via dpi. internally, pybarcode renders as svg, then renders that as a png file.
# dpi is the conversion from svg image size in mm, to what the image writer thinks is inches.
options = {
'dpi': 130,
'module_height': 5.0,
'text_distance': 1,
'font_size': 6,
'quiet_zone': 2
}
# ean.default_writer_options['dpi'] = int(130)
# # module height is the barcode bar height in mm
# ean.default_writer_options['module_height'] = float(5)
# # text distance is the distance between the bottom of the barcode, and the top of the text in mm
# ean.default_writer_options['text_distance'] = 1
# # font size is the text size in pt
# ean.default_writer_options['font_size'] = int(6)
# # quiet zone is the distance from the ends of the barcode to the ends of the image in mm
# ean.default_writer_options['quiet_zone'] = 2
# save barcode image with generated filename
print("generating barcode image")
with tempfile.NamedTemporaryFile(dir=tempdir,
suffix='.png',
delete=False) as initial_temp_file:
ean(input_string, writer=ImageWriter()).write(initial_temp_file,
options=options)
filename = initial_temp_file.name
print(filename)
print("success, barcode image path is: " + filename)
print("opening " + str(filename) + " to add border")
barcode_image = pil_Image.open(
str(filename)) # open image as pil object
print("success")
print("adding barcode and saving")
img_save = pil_ImageOps.expand(barcode_image, border=0,
fill='white') # add border around image
width, height = img_save.size # get image size of barcode with border
# write out image to file
with tempfile.NamedTemporaryFile(dir=tempdir,
suffix='.png',
delete=False) as final_barcode_path:
img_save.save(final_barcode_path.name)
print("success, final barcode path is: " + final_barcode_path.name)
return final_barcode_path.name, width, height
def OnSaveToFileBtn( self, event ) :
if not self.math_panel.renderError :
filename = 'Rendered_Equation.png'
self.math_panel.figure.savefig( filename, dpi=300 )
print('\n---- Equation Graphic Saved to File [ %s ]' % filename)
# See if the PIL package is installed.
pilIsInstalled = True
try :
# Try to crop the image to its near-minimum extent.
import Image # PIL (Python Image Library)
import ImageChops # Image Channel Operations library
import ImageStat # Image Statistics library
import ImageOps # Various whole image operations.
except :
pilIsInstalled = False # Image will not get auto-cropped.
#end try
if pilIsInstalled : # Auto-crop the image.
pilImg = Image.open( filename )
# Find the ordinates of the minimally enclosing bounding box.
#
# Create a simplified and inverted version of the original image to examine.
invertedImage = ImageChops.invert( pilImg.convert( 'L' ) ) # BG must be black to examine.
# Get the bounding box's ordinates. Works on any image with a black background.
box = invertedImage.getbbox()
pilImg = pilImg.crop( box )
# Add back a thin border padding. This is arbitrary, but seems reasonable.
pilImg = ImageOps.expand( pilImg, border=10, fill=(255, 255, 255) )
# Save the image to a disk file. Only PNG and TIFF formats are non-destructive.
pilImg.save( filename )
print(' Cropped Equation Graphic Saved')
#end if
else :
print('\n---- Tex Rendering Error: Figure Image NOT SAVED to a File.')
def download_and_collage(self,imgsrc_list):
#empty the temp path folder
self.delete_images()
#collage image object
collage = Image.new('RGB',(self.collage_width, self.collage_height))
#calculate the number of images that fit horizontally
effective_img_width = 192 + self.image_border*2
no_of_columns = (self.collage_width / effective_img_width)
col_index = [0]*no_of_columns
print "Downloading and creating collage[", #status bar
for i,each in enumerate(imgsrc_list):
print ".", #status bar update
#fetch the image from the list
img_fn = os.path.join(self.path, str(i)+".jpg")
urllib.urlretrieve(each, img_fn)
orig_img = Image.open(img_fn)
#add border to it
bordered_img = ImageOps.expand(orig_img, border=self.image_border, fill=self.image_border_color)
width, height = bordered_img.size
collage.paste(bordered_img, ((i%no_of_columns)*width, col_index[i%no_of_columns]))
col_index[i%no_of_columns] += height
print "]"#status bar end
#insert Pintrest logo on the top left conrner
pinterest_logo = Image.open(os.path.abspath('./pinterest_logo.png'))
collage.paste(pinterest_logo,(0,0), mask=pinterest_logo)
#output the collage
collage_fn = os.path.join(self.path, 'collage.jpg')
collage.save(collage_fn)
return collage_fn
screenshot1 = photos.pick_image(show_albums=True)
screenshot2 = photos.pick_image(show_albums=True)
screenshot3 = photos.pick_image(show_albums=True)
mode = console.alert('Create or Clean', 'Select a mode below.', 'Create Now', 'Clean First')
if mode == 2:
from Cleanbar import cleanbar
cleanbar(screenshot1)
cleanbar(screenshot2)
cleanbar(screenshot3)
# Creates final image
console.clear()
print "Creating final image..."
background = Image.new('RGBA', (1850,1275), (255, 255, 255, 255))
file1 = screenshot1.resize((545,969),Image.ANTIALIAS)
file2 = screenshot2.resize((700,1245),Image.ANTIALIAS)
file3 = screenshot3.resize((545,969),Image.ANTIALIAS)
file1 = ImageOps.expand(file1,border=1,fill='gray')
file2 = ImageOps.expand(file2,border=1,fill='gray')
file3 = ImageOps.expand(file3,border=1,fill='gray')
background.paste(file1,(10,138))
background.paste(file2,(575,15))
background.paste(file3,(1295,138))
console.hide_activity()
background.show()
print "\n\n Image created"
#input argument check
if (len(sys.argv) != 2):
print "Usage: python bmp2array.py <Image.bmp>"
sys.exit(1)
else:
inputImage = Image.open(sys.argv[1],'r')
#convert the image to gray scale image, 8 bit per pixel
inputImage = inputImage.convert('L')
#resize the image to 512 by 512 pixels
inputImage = inputImage.resize((512,512),Image.ANTIALIAS)
#create 4-pixel border
inputImage = ImageOps.expand(inputImage,border=4,fill='black')
#convert image to pixel array
imageArray = numpy.array(inputImage)
#inputArray = open('inputArray','w')
#inputArray.write(imageArray)
#inputArray.close()
#open the pixel array file to write to
outputArray = open('pixelArray','w')
row_number = 0
def border(original_image):
original_image = ImageOps.expand(original_image, border=45)
original_image.save('test_overlay.png')
def do_process_workbook():
# this is called as a background thread to ensure the interface is responsive
print_if_debug("creating temp directory")
if not args.keep_barcodes_in_cwd:
tempdir = tempfile.mkdtemp()
else:
temp_dir_in_cwd = os.path.join(program_launch_cwd, 'barcode images')
os.mkdir(temp_dir_in_cwd)
tempdir = temp_dir_in_cwd
print_if_debug("temp directory created as: " + tempdir)
progress_bar.configure(mode='indeterminate', maximum=100)
progress_bar.start()
progress_numbers.configure(text="opening workbook")
wb = openpyxl.load_workbook(old_workbook_path)
ws = wb.worksheets[0]
progress_numbers.configure(text="testing workbook save")
wb.save(new_workbook_path)
count = 0
save_counter = 0
progress_bar.configure(maximum=ws.max_row, value=count)
progress_numbers.configure(text=str(count) + "/" + str(ws.max_row))
border_size = int(border_spinbox.get())
for _ in ws.iter_rows(): # iterate over all rows in current worksheet
if not process_workbook_keep_alive:
break
try:
count += 1
progress_bar.configure(maximum=ws.max_row, value=count, mode='determinate')
progress_numbers.configure(text=str(count) + "/" + str(ws.max_row))
progress_bar.configure(value=count)
# get code from column selected in input_colum_spinbox, on current row,
# add a zeroes to the end if option is selected to make seven or 12 digits
print_if_debug("getting cell contents on line number " + str(count))
upc_barcode_string = str(ws[input_column_spinbox.get() + str(count)].value)
print_if_debug("cell contents are: " + upc_barcode_string)
if not upc_barcode_string == '':
if barcode_type_variable.get() == "ean13" or barcode_type_variable.get() == "ean8":
try:
_ = int(upc_barcode_string) # check that "upc_barcode_string" can be cast to int
except ValueError:
raise ValueError("Cell contents are not an integer, skipping")
# select barcode type, specify barcode, and select image writer to save as png
if barcode_type_variable.get() == "ean8":
if pad_ean_option.get() is True:
if len(upc_barcode_string) < 6:
upc_barcode_string = upc_barcode_string.rjust(6, '0')
if len(upc_barcode_string) <= 7:
upc_barcode_string = upc_barcode_string.ljust(7, '0')
else:
raise ValueError("Cell contents are more than 7 characters, skipping row")
else:
if len(upc_barcode_string) != 7:
raise ValueError("Cell contents are not 7 characters, skipping row")
elif barcode_type_variable.get() == "ean13":
if pad_ean_option.get() is True:
if len(upc_barcode_string) < 11:
upc_barcode_string = upc_barcode_string.rjust(11, '0')
if len(upc_barcode_string) <= 12:
upc_barcode_string = upc_barcode_string.ljust(12, '0')
else:
raise ValueError("Cell contents are more than 12 characters, skipping row")
else:
if len(upc_barcode_string) != 12:
raise ValueError("Cell contents are not 12 characters, skipping row")
elif barcode_type_variable.get() == "code39":
upc_barcode_string = upc_barcode_string.upper()
upc_barcode_string = re.sub('[^A-Z0-9./*$%+\- ]+', ' ', upc_barcode_string)
else:
raise ValueError("Cell is empty, skipping row")
ean = barcode.get(barcode_type_variable.get(), upc_barcode_string, writer=ImageWriter())
# select output image size via dpi. internally, pybarcode renders as svg, then renders that as a png file.
# dpi is the conversion from svg image size in mm, to what the image writer thinks is inches.
ean.default_writer_options['dpi'] = int(dpi_spinbox.get())
# module height is the barcode bar height in mm
ean.default_writer_options['module_height'] = float(height_spinbox.get())
# text distance is the distance between the bottom of the barcode, and the top of the text in mm
ean.default_writer_options['text_distance'] = 1
# font size is the text size in pt
ean.default_writer_options['font_size'] = int(font_size_spinbox.get())
# quiet zone is the distance from the ends of the barcode to the ends of the image in mm
ean.default_writer_options['quiet_zone'] = 2
# save barcode image with generated filename
print_if_debug("generating barcode image")
with tempfile.NamedTemporaryFile(dir=tempdir, suffix='.png', delete=False) as initial_temp_file_path:
filename = ean.save(initial_temp_file_path.name[0:-4])
print_if_debug("success, barcode image path is: " + filename)
print_if_debug("opening " + str(filename) + " to add border")
barcode_image = pil_Image.open(str(filename)) # open image as pil object
print_if_debug("success")
print_if_debug("adding barcode and saving")
img_save = pil_ImageOps.expand(barcode_image, border=border_size,
fill='white') # add border around image
width, height = img_save.size # get image size of barcode with border
# resize cell to size of image
ws.column_dimensions[output_column_spinbox.get()].width = int(math.ceil(float(width) * .15))
ws.row_dimensions[count].height = int(math.ceil(float(height) * .75))
# write out image to file
with tempfile.NamedTemporaryFile(dir=tempdir, suffix='.png', delete=False) as final_barcode_path:
img_save.save(final_barcode_path.name)
print_if_debug("success, final barcode path is: " + final_barcode_path.name)
# open image with as openpyxl image object
print_if_debug("opening " + final_barcode_path.name + " to insert into output spreadsheet")
img = OpenPyXlImage(final_barcode_path.name)
print_if_debug("success")
# attach image to cell
print_if_debug("adding image to cell")
# add image to cell
ws.add_image(img, anchor=output_column_spinbox.get() + str(count))
save_counter += 1
print_if_debug("success")
except Exception as barcode_error:
print_if_debug(barcode_error)
# This save in the loop frees references to the barcode images,
# so that python's garbage collector can clear them
if save_counter >= file_limit - 50:
print_if_debug("saving intermediate workbook to free file handles")
progress_bar.configure(mode='indeterminate', maximum=100)
progress_bar.start()
progress_numbers.configure(text=str(count) + "/" + str(ws.max_row) + " saving")
wb.save(new_workbook_path)
print_if_debug("success")
save_counter = 1
progress_numbers.configure(text=str(count) + "/" + str(ws.max_row))
progress_bar.configure(value=0)
print_if_debug("saving workbook to file")
progress_bar.configure(mode='indeterminate', maximum=100)
progress_bar.start()
progress_numbers.configure(text="saving")
wb.save(new_workbook_path)
print_if_debug("success")
if not args.keep_barcode_files:
print_if_debug("removing temp folder " + tempdir)
shutil.rmtree(tempdir)
print_if_debug("success")
def __init__(self, image):
self.image = image.convert('RGBA')
if self.any_translucent_pixels():
image = self.image
background = Image.open(join(dirname(__file__), 'iconfade.png'))
scale_w = int(background.size[0] * 0.70)
w, h = background.size
x = (w - scale_w) / 2
#alpha = alpha.filter(ImageFilter.BLUR)
#image = ImageOps.expand(image, 2)
alpha = image.split()[-1]
#iw, ih = image.size
#getpixel = alpha.getpixel
#putpixel = alpha.putpixel
#for ay in xrange(iw):
# for ax in xrange(ih):
# c = getpixel((ax, ay))
# if c:
# putpixel((ax, ay), 255)
# #
#if c[-1]:
# c = [i/255.0 for i in c]
# r, g, b, a = c
# r = a * r + 1.-a
# g = a * g + 1.-a
# b = a * b + 1.-a
# a = 255
# alpha.putpixel((x, y), tuple(int(c*255.0) for c in (r, g, b, a)))
alpha = alpha.resize((scale_w, scale_w), Image.BILINEAR)
border_alpha = Image.new('L', (scale_w+40, scale_w+40))
border_alpha.paste(alpha, (20, 20))
alpha = border_alpha
#alpha = ImageOps.expand(image, 20)
alpha = alpha.filter(ImageFilter.MaxFilter(7))
alpha = alpha.filter(ImageFilter.MaxFilter(7))
alpha = alpha.filter(ImageFilter.BLUR)
#alpha = alpha.filter(ImageFilter.SHARPEN)
#alpha = ImageEnhance.Contrast(alpha).enhance(1.3)
image = image.resize((scale_w, scale_w), Image.NEAREST)
image = ImageOps.expand(image, 20)
edge = Image.new('RGBA',alpha.size, (255, 255, 255, 0))
edge.putalpha(alpha)
x = (background.size[0]-edge.size[0])/2
background.paste((255, 255, 255), (x, x), edge)
background.paste(image, (x, x), image)
#image.paste(alpha, None, alpha)
#image.putalpha(alpha)
#image.show()
self.image = image
#background = Image.open(join(dirname(__file__), 'iconfade.png'))
#background.thumbnail(self.image.size)
#background.paste(self.image, (x, x), self.image)
self.image = background
self.scan()
# Make sure we were handed something sane
# FIXME: Future rev - deal with paths
if len(sys.argv) < 2:
print "Usage: python img.py filename.jpg"
sys.exit(1)
# Get set up
source_filename = sys.argv[1]
source_basename = source_filename.split('.')[0]
source_image = Image.open(source_filename)
font = ImageFont.truetype('Inconsolata.otf', 7)
# Add our black border/frame
framed_image = ImageOps.expand(source_image,
border=border_size,
fill='black')
# Add our footer text
# FIXME: That 90 is a magic number, figure it out later
drawer = ImageDraw.Draw(framed_image)
text_size = drawer.textsize(footer)
drawer.text((framed_image.size[0]-text_size[0]+90,
framed_image.size[1]-border_size),
footer,
font=font)
# Save out the new image, in PNG format
framed_image.save(source_basename + '.png', 'png')
# Make the thumbnails - yes, I know, this is a proportional
def add_border(path, newpath):
# print newpath
image_file = Image.open(path)
new_image_file = ImageOps.expand(image_file, border=2, fill='black')
new_image_file.save(newpath)
bg_color=(np.array(bw.getdata()).mean(axis=0))
if color:
bg_color=tuple(bg_color)
mask=Image.new("RGB",(newsize,newsize),bg_color)
else:
mask=Image.new("L",(newsize,newsize),bg_color)
x_noise= y_noise=0
for it in xrange(jitter_count):
x0=(newsize-bw.size[0])/2+x_noise
y0=(newsize-bw.size[1])/2+y_noise
x1=x0+bw.size[0]
y1=y0+bw.size[1]
x = (x0,y0,x1,y1)
offset=20
x_ = (x0+offset,y0+offset,x1+offset,y1+offset)
mask=ImageOps.expand(mask,offset,fill=bg_color)
mask.paste(bw,x_)
for i in xrange(20):
mask=mask.filter(ImageFilter.SMOOTH)
mask.paste(bw,x_)
mask=ImageOps.crop(mask,offset)
newdata=np.array(mask.getdata()).T.flatten().copy()
#mask.show()
#pdb.set_trace()
#plt.imshow(np.array(mask.getdata()).reshape(newsize,newsize,3))
#plt.show()
data.append(newdata)
labels.append(label)
x_noise,y_noise=np.random.normal(0,5,2)
x_noise=max(-20,min(x_noise,20))
y_noise=max(-20,min(y_noise,20))
import os
import Image, ImageOps
"""
This parser requires ImageMagick (http://www.imagemagick.org/) library.
You can install it by typing:
sudo apt-get install imagemagick
"""
commands =[\
'wget http://www.ini.uzh.ch/~acardona/data/membranes-neurites-glia.tif.tar.bz2 -O atlases/tem/src/membranes-neurites-glia.tif.tar.bz2',
'bunzip2 -f atlases/tem/src/membranes-neurites-glia.tif.tar.bz2',
'tar -xvvf atlases/tem/src/membranes-neurites-glia.tif.tar -C atlases/tem/src/',
'convert atlases/tem/src/membranes-neurites-glia.tif -level 0,255 -depth 8 -type grayscale atlases/tem/src/membranes-neurites-glia.png']
map(os.system, commands)
for index in range(30):
filename = 'atlases/tem/src/membranes-neurites-glia-%d.png' % index
frame = Image.open(filename)
frame = ImageOps.expand(frame, border=4, fill=168)
frame.save(filename)
def add_frame(image):
'''Add frame for image.'''
im = ImageOps.expand(image,
border=int(0.01 * max(image.size)),
fill=0xffffff)
return im
def add_frame(image):
'''Add frame for image.'''
im = ImageOps.expand(image, border=int(0.01 * max(image.size)), fill=0xffffff)
return im
#input argument check
if (len(sys.argv) != 2):
print "Usage: python bmp2array.py <Image.bmp>"
sys.exit(1)
else:
inputImage = Image.open(sys.argv[1], 'r')
#convert the image to gray scale image, 8 bit per pixel
inputImage = inputImage.convert('L')
#resize the image to 512 by 512 pixels
inputImage = inputImage.resize((512, 512), Image.ANTIALIAS)
#create 4-pixel border
inputImage = ImageOps.expand(inputImage, border=4, fill='black')
#convert image to pixel array
imageArray = numpy.array(inputImage)
#inputArray = open('inputArray','w')
#inputArray.write(imageArray)
#inputArray.close()
#open the pixel array file to write to
outputArray = open('pixelArray', 'w')
row_number = 0
def do_process_workbook():
print_if_debug("creating temp directory")
if not args.keep_barcodes_in_home:
tempdir = tempfile.mkdtemp()
else:
temp_dir_in_cwd = os.path.join(program_launch_cwd, 'barcode images')
os.mkdir(temp_dir_in_cwd)
tempdir = temp_dir_in_cwd
print_if_debug("temp directory created as: " + tempdir)
progress_bar.configure(mode='indeterminate', maximum=100)
progress_bar.start()
progress_numbers.configure(text="opening workbook")
wb = openpyxl.load_workbook(old_workbook_path)
ws = wb.worksheets[0]
progress_numbers.configure(text="testing workbook save")
wb.save(new_workbook_path)
count = 0
save_counter = 0
progress_bar.configure(maximum=ws.max_row, value=count)
progress_numbers.configure(text=str(count) + "/" + str(ws.max_row))
border_size = int(border_spinbox.get())
for _ in ws.iter_rows(): # iterate over all rows in current worksheet
if not process_workbook_keep_alive:
break
try:
count += 1
progress_bar.configure(maximum=ws.max_row, value=count, mode='determinate')
progress_numbers.configure(text=str(count) + "/" + str(ws.max_row))
progress_bar.configure(value=count)
# get code from column "B", on current row, add a zero to the end to make seven digits
print_if_debug("getting cell contents on line number " + str(count))
upc_barcode_number = ws["B" + str(count)].value + "0"
print_if_debug("cell contents are: " + upc_barcode_number)
# select barcode type, specify barcode, and select image writer to save as png
ean = barcode.get('ean8', upc_barcode_number, writer=ImageWriter())
# select output image size via dpi. internally, pybarcode renders as svg, then renders that as a png file.
# dpi is the conversion from svg image size in mm, to what the image writer thinks is inches.
ean.default_writer_options['dpi'] = int(dpi_spinbox.get())
# module height is the barcode bar height in mm
ean.default_writer_options['module_height'] = float(height_spinbox.get())
# text distance is the distance between the bottom of the barcode, and the top of the text in mm
ean.default_writer_options['text_distance'] = 1
# font size is the text size in pt
ean.default_writer_options['font_size'] = int(font_size_spinbox.get())
# quiet zone is the distance from the ends of the barcode to the ends of the image in mm
ean.default_writer_options['quiet_zone'] = 2
# save barcode image with generated filename
print_if_debug("generating barcode image")
with tempfile.NamedTemporaryFile(dir=tempdir, suffix='.png', delete=False) as initial_temp_file_path:
filename = ean.save(initial_temp_file_path.name[0:-4])
print_if_debug("success, barcode image path is: " + filename)
print_if_debug("opening " + str(filename) + " to add border")
barcode_image = pil_Image.open(str(filename)) # open image as pil object
print_if_debug("success")
print_if_debug("adding barcode and saving")
img_save = pil_ImageOps.expand(barcode_image, border=border_size,
fill='white') # add border around image
width, height = img_save.size # get image size of barcode with border
# resize cell to size of image
ws.column_dimensions['A'].width = int(math.ceil(float(width) * .15))
ws.row_dimensions[count].height = int(math.ceil(float(height) * .75))
# write out image to file
with tempfile.NamedTemporaryFile(dir=tempdir, suffix='.png', delete=False) as final_barcode_path:
img_save.save(final_barcode_path.name)
print_if_debug("success, final barcode path is: " + final_barcode_path.name)
# open image with as openpyxl image object
print_if_debug("opening " + final_barcode_path.name + " to insert into output spreadsheet")
img = OpenPyXlImage(final_barcode_path.name)
print_if_debug("success")
# attach image to cell
print_if_debug("adding image to cell")
img.anchor(ws.cell('A' + str(count)), anchortype='oneCell')
# add image to cell
ws.add_image(img)
save_counter += 1
print_if_debug("success")
# This save in the loop frees references to the barcode images,
# so that python's garbage collector can clear them
except Exception as barcode_error:
print_if_debug(barcode_error)
if save_counter >= file_limit - 50:
print_if_debug("saving intermediate workbook to free file handles")
progress_bar.configure(mode='indeterminate', maximum=100)
progress_bar.start()
progress_numbers.configure(text=str(count) + "/" + str(ws.max_row) + " saving")
wb.save(new_workbook_path)
print_if_debug("success")
save_counter = 1
progress_numbers.configure(text=str(count) + "/" + str(ws.max_row))
progress_bar.configure(value=0)
print_if_debug("saving workbook to file")
progress_bar.configure(mode='indeterminate', maximum=100)
progress_bar.start()
progress_numbers.configure(text="saving")
wb.save(new_workbook_path)
print_if_debug("success")
if not args.keep_barcode_files:
print_if_debug("removing temp folder " + tempdir)
shutil.rmtree(tempdir)
print_if_debug("success")
progress_bar.stop()
progress_bar.configure(maximum=100, value=0, mode='determinate')
progress_numbers.configure(text="")
img.putpixel([w,h], not b[a])
a += 1
c = 0
# TODO: fix this (eof)
'''
for i in range(8):
if w >= a4_width:
w = 0
h += 1
img.putpixel([w+i,h], 0)
'''
# add border
img = ImageOps.expand(img,border=2,fill="white")
img = ImageOps.expand(img,border=2,fill="black")
# move to bigger canvas
out = Image.new("1", (a4_width+4,a4_height+8+12), "white")
out.paste(img, (0,0))
# add text
drw = ImageDraw.Draw(out)
drw.text( (5, a4_height+7), "File: %s, page: %i/%i, file size: %i B, " \
"page size: %i B, interval: %i, est. ppi: %i, width: %ipx, height: %ipx." \
% (filename, p + 1, pages, len(b)/8, a/8, interval, ppi, a4_width, a4_height) )
out.save("out" + str(p) + ".bmp")
print("Page %s saved to: out%s.bmp." % (str(p+1), str(p)))
import os
import Image, ImageOps
"""
This parser requires ImageMagick (http://www.imagemagick.org/) library.
You can install it by typing:
sudo apt-get install imagemagick
"""
commands =[\
'wget http://www.ini.uzh.ch/~acardona/data/membranes-neurites-glia.tif.tar.bz2 -O atlases/tem/src/membranes-neurites-glia.tif.tar.bz2',
'bunzip2 -f atlases/tem/src/membranes-neurites-glia.tif.tar.bz2',
'tar -xvvf atlases/tem/src/membranes-neurites-glia.tif.tar -C atlases/tem/src/',
'convert atlases/tem/src/membranes-neurites-glia.tif -level 0,255 -depth 8 -type grayscale atlases/tem/src/membranes-neurites-glia.png']
map(os.system, commands)
for index in range(30):
filename = 'atlases/tem/src/membranes-neurites-glia-%d.png' % index
frame = Image.open(filename)
frame = ImageOps.expand(frame, border=4, fill=168)
frame.save(filename)
def rotate(image_path, degrees_to_rotate, saved_location):
image_obj = Image.open(image_path)
rotated_image = image_obj.rotate(degrees_to_rotate)
rotated_image.save(saved_location)
rotated_image.show()
image = Image.open('test.jpg')
image = 'test.jpg'
rotate(image, 90, 'rotated_mantis.jpg')
def flip_image(image_path, saved_location):
image_obj = Image.open(image_path)
rotated_image = image_obj.transpose(Image.FLIP_LEFT_RIGHT)
rotated_image.save(saved_location)
rotated_image.show()
image = 'flipped_2_mantis.jpg'
flip_image(image, 'test_2.jpg')
rotate(image, 10, 'rotated_10.jpg')
import Image, ImageOps
img = Image.open('rotated_5.jpg')
img_with_border = ImageOps.expand(img,border=300,fill='black')
img_with_border.save('imaged-with-border.jpg')
bg_color = (np.array(bw.getdata()).mean(axis=0))
if color:
bg_color = tuple(bg_color)
mask = Image.new("RGB", (newsize, newsize), bg_color)
else:
mask = Image.new("L", (newsize, newsize), bg_color)
x_noise = y_noise = 0
for it in xrange(jitter_count):
x0 = (newsize - bw.size[0]) / 2 + x_noise
y0 = (newsize - bw.size[1]) / 2 + y_noise
x1 = x0 + bw.size[0]
y1 = y0 + bw.size[1]
x = (x0, y0, x1, y1)
offset = 20
x_ = (x0 + offset, y0 + offset, x1 + offset, y1 + offset)
mask = ImageOps.expand(mask, offset, fill=bg_color)
mask.paste(bw, x_)
for i in xrange(20):
mask = mask.filter(ImageFilter.SMOOTH)
mask.paste(bw, x_)
mask = ImageOps.crop(mask, offset)
newdata = np.array(mask.getdata()).T.flatten().copy()
#mask.show()
#pdb.set_trace()
#plt.imshow(np.array(mask.getdata()).reshape(newsize,newsize,3))
#plt.show()
data.append(newdata)
labels.append(label)
x_noise, y_noise = np.random.normal(0, 5, 2)
x_noise = max(-20, min(x_noise, 20))
y_noise = max(-20, min(y_noise, 20))
def Segmentacao(caminho, diretorio):
# cria o direotorio novo para a captura
try:
os.stat('Imagens/Cortes/' + diretorio)
except:
os.mkdir('Imagens/Cortes/' + diretorio)
imagem = cv2.imread(caminho) #le a imagem resultante do resultado anterior
peb = cv2.cvtColor(imagem, cv2.COLOR_BGR2GRAY) # tons de cinza
_, segmentacao = cv2.threshold(
peb, 150, 255, cv2.THRESH_BINARY_INV) # segmentacao threshold
holding = cv2.getStructuringElement(
cv2.MORPH_CROSS, (1, 2)) #1 e 2 sao porporcoes de descoberta
dilated = cv2.dilate(segmentacao, holding,
iterations=2) #dilatacao dos resultados encontrados
contornos, hierarchy = cv2.findContours(
dilated, cv2.RETR_EXTERNAL,
cv2.CHAIN_APPROX_NONE) # gera array de contornos
media = 0
b = 0
for cont in contornos: # para cada contorno gerado
[x, y, w,
h] = cv2.boundingRect(cont) #gera um retangulo da area dos contornos
largimg, altimg = imagem.shape[:2]
contorno = int(largimg / 110)
corte = imagem[y:y + h, x:x +
w] #gera a imagem de corte com margens de 3 e 4 px
largura, altura = corte.shape[:
2] #pega a largura e altura da imagem de corte
if altura == 0: #caso nao haja altura, se atribui 0,001 para evitar divisao por 0
altura = 0.001
proporcao = largura / altura #gera a proporcao entre largura e altura
min = largimg / 15
#f largura > 30 and proporcao > 1.28 and proporcao < 2.55:
print(str(x + y) + ".jpg " + str(proporcao) + " " + str(largura)
) #printa a proporcao e largura da imagem de corte atual
media = media + altura
if largura > b:
b = largura
cv2.imwrite('Imagens/Cortes/' + diretorio + '/' + str(x + y) + '.jpg',
corte) #salva imagem de corte
imag = Image.open('Imagens/Cortes/' + diretorio + '/' + str(x + y) +
'.jpg')
img_borda = ImageOps.expand(imag, border=10, fill='white')
img_borda.save('Imagens/Cortes/' + diretorio + '/' + str(x + y) +
'.jpg')
#cv2.rectangle(imagem,(x,y),(x+w,y+h),(255,0,255),2)
print(b)
def apply_border(self, padding_size=4, border_size=1, fill_color="white", border_color="#ccc"):
self.img = ImageOps.expand(self.img, border=padding_size, fill=fill_color)
self.img = ImageOps.expand(self.img, border=border_size, fill=border_color)
screenshot2 = photos.pick_image(show_albums=True)
screenshot3 = photos.pick_image(show_albums=True)
mode = console.alert('Create or Clean', 'Select a mode below.', 'Create Now',
'Clean First')
if mode == 2:
from Cleanbar import cleanbar
cleanbar(screenshot1)
cleanbar(screenshot2)
cleanbar(screenshot3)
# Creates final image
console.clear()
print("Creating final image...")
background = Image.new('RGBA', (1850, 1275), (255, 255, 255, 255))
file1 = screenshot1.resize((545, 969), Image.ANTIALIAS)
file2 = screenshot2.resize((700, 1245), Image.ANTIALIAS)
file3 = screenshot3.resize((545, 969), Image.ANTIALIAS)
file1 = ImageOps.expand(file1, border=1, fill='gray')
file2 = ImageOps.expand(file2, border=1, fill='gray')
file3 = ImageOps.expand(file3, border=1, fill='gray')
background.paste(file1, (10, 138))
background.paste(file2, (575, 15))
background.paste(file3, (1295, 138))
console.hide_activity()
background.show()
print("\n\n Image created")
