def borderresize(filename, infolderpath, runtype):
'''
Resize ISH images
:param filename:
:param infolderpath:
:return:
'''
newimagewidth = 6000/4
newimageheight = 4500/4
if 'ishfull' in filename: newimage = Image.new('L', (newimagewidth,newimageheight), (255) ) #white image
else:newimage = Image.new('L', (newimagewidth,newimageheight), (0) ) #black image
resizefactor = 1.25 # images 0.8 of original size
try:
ishimage = Image.open(infolderpath +filename).convert("L")
except IOError:
print filename, 'Image failed'
return
# Not used previously - remove outer border to get rid of any dark borders on original image
ishimage = ImageOps.crop(ishimage, border=5)
dwidth = newimagewidth - ishimage.size[0]
dheight = newimageheight - ishimage.size[1]
newimage.paste(ishimage, (dwidth/2,dheight/2,dwidth/2+ishimage.size[0],dheight/2+ishimage.size[1]))
newimage = newimage.resize((int(float(newimagewidth)/resizefactor),int(float(newimageheight)/resizefactor)))
newimage.save(re.sub('Original_%s' % runtype,'Resize_%s' % runtype, infolderpath) + filename)
def crop(image, mode=None, all=0, left=0, right=0, top=0, bottom=0):
if mode == _t('Auto'):
image = auto_crop(image)
elif mode == _t('All'):
image = ImageOps.crop(image, border=all)
else:
w, h = image.size
box = (left, top, w - right, h - bottom)
image = image.crop(box)
return image
def crop(image, mode=None, all=0, left=0, right=0, top=0, bottom=0):
if mode == _t('Auto'):
image = auto_crop(image)
elif mode == _t('All'):
image = ImageOps.crop(image, border=all)
else:
w, h = image.size
box = (
left,
top,
w - right,
h - bottom)
image = image.crop(box)
return image
def run(self):
while True:
# get out user defined border
border = self.get_parameter('border')
# for each document waiting on our input port
for doc in self.receive_all('in'):
try:
# grab the serialized image
raw_image = doc.get('image_data')
# grab the meta-data we need
size = doc.get_meta('size', 'image_data')
mode = doc.get_meta('mode', 'image_data')
# deserialize the image content
image = Image.fromstring(mode, size, raw_image)
# perform the cropping using our user defined border
try:
border = int(border)
except:
border = DEFAULT_BORDER
cropped_image = ImageOps.crop(image, border)
# update the meta-data for the image
doc.set_meta('size', cropped_image.size, 'image_data')
doc.set_meta('mode', cropped_image.mode, 'image_data')
# update the image_data with the new serialized payload
doc.set('image_data', cropped_image.tostring())
except Exception as e:
log.error('Component Failed: %s' % self.__class__.__name__)
log.error('Reason: %s' % str(e))
log.debug(traceback.print_exc())
# send the document to the next component
self.send('out', doc)
# yield the CPU
self.yield_ctrl()
def run(self):
while True:
# get out user defined border
border = self.get_parameter('border')
# for each document waiting on our input port
for doc in self.receive_all('in'):
try:
# grab the serialized image
raw_image = doc.get('image_data')
# grab the meta-data we need
size = doc.get_meta('size', 'image_data')
mode = doc.get_meta('mode', 'image_data')
# deserialize the image content
image = Image.fromstring(mode, size, raw_image)
# perform the cropping using our user defined border
try:
border = int(border)
except:
border = DEFAULT_BORDER
cropped_image = ImageOps.crop(image, border)
# update the meta-data for the image
doc.set_meta('size', cropped_image.size, 'image_data')
doc.set_meta('mode', cropped_image.mode, 'image_data')
# update the image_data with the new serialized payload
doc.set('image_data', cropped_image.tostring())
except Exception as e:
log.error('Component Failed: %s' % self.__class__.__name__)
log.error('Reason: %s' % str(e))
log.debug(traceback.print_exc())
# send the document to the next component
self.send('out', doc)
# yield the CPU
self.yield_ctrl()
def postProcessing(pic_name, imsize, labels, profile_save_path):
labels = denoise(labels)
labels = 1 - labels
labels = denoise(labels)
labels = 1 - labels
h = imsize[1]
w = int(h * 0.75)
im = Image.fromarray(np.uint8(labels * 255).reshape(80, 60))
im = im.convert('RGB')
im = im.resize((w, h), Image.ANTIALIAS)
background = Image.new('L', imsize, 'white')
left_border = (w - imsize[0] + 1) / 2
if left_border > 0:
im = ImageOps.crop(im, border=(left_border, 0))
background.paste(im, (0, 0))
else:
background.paste(im, (-left_border, 0))
background.save(profile_save_path + pic_name + '-profile.jpg')
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))
if color:
np.save("caltech_30_color", data)
else:
np.save("caltech_30_gray", data)
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))
if color:
np.save("caltech_30_color",data)
else:
np.save("caltech_30_gray",data)
def Cropborder(self, Button):
self.p = Image.open(self.Newpath)
self.border = self.border + 10
self.s = ImageOps.crop(self.p, self.border)
self.s.show()
self.s.save(self.Newpath)
