def make_image_to_post(self, job_string, image, image_format): font_size_to_width_ratio = 0.061 font_location = './Gotham-Bold.otf' fontColors = ['white', 'black'] logging.info(str(datetime.now()) + ': Begin image compositing.') try: im = Image(blob=image) except MissingDelegateError as e: raise except: raise font_size = im.width * font_size_to_width_ratio im_clone = im.clone() im_clone.resize(1,1) for row in im_clone: for col in row: assert isinstance(col, Color) if (col.red + col.green + col.blue) / 3.0 >= 0.5: fontColors.reverse() font = Font(font_location, size=font_size, color=Color(fontColors[1])) im.caption(job_string, left=7, top=7, width=im.width-10, height=im.height-10, font=font) font = Font(font_location, size=font_size, color=Color(fontColors[0])) im.caption(job_string, left=5, top=5, width=im.width-10, height=im.height-10, font=font) im.format = image_format return im
def create_row(imgs,
offsets,
gap,
fixed_width=0,
caption=None,
caption_offset=(0, 0)):
row_width = 0
i = 0
row_height = 0
for img in imgs:
if isinstance(img, Image):
row_width += img.width + gap
row_height = max(img.height, row_height)
else:
row_width += offsets[i][0] + gap
i += 1
if fixed_width:
row_width = fixed_width
row = Image(width=row_width, height=row_height)
i = 0
x = 0
for img in imgs:
if isinstance(img, Image):
row.composite(img,
left=x + offsets[i],
top=(row_height - img.height) / 2)
x += img.width + offsets[i] + gap
else:
(offset_x, offset_y, width, font) = offsets[i]
row.caption(img,
left=x + offset_x,
top=offset_y,
width=250,
height=250,
font=font)
x += width + gap
i += 1
if caption:
caption_font = Font(
path="%s/source-code-pro/SourceCodePro-Medium.otf" % args.fonts,
size=14)
row_w_caption = Image(width=row_width, height=row_height + 20)
row_w_caption.caption(caption,
left=caption_offset[0],
top=caption_offset[1],
width=1450,
height=50,
font=caption_font)
row_w_caption.composite(row, left=0, top=20)
return row_w_caption
else:
return row
def write_banner():
img = Image(width=250, height=100, pseudo='plasma:fractal')
f = Font(path='/cgi-bin/sarial.ttf', size=32, color="#d33682")
img.caption(text='ibbb.me', font=f, gravity='south_east')
img.save(filename='/var/www/cgi-bin/files/banner.png')
print('<div class="banner">'
'<center>'
'<img src="/cgi-bin/files/banner.png">'
'</center>'
'</div>')
def set_intro_text(self, txt):
img = Image(filename="{}/blank.png".format(self.src))
img.caption(text=txt,
font=self.FONT,
width=430,
left=45,
height=60,
top=200,
gravity='center')
img.save(filename="{}/intro.png".format(self.out))
def genTextPNG(text,font="/usr/share/fonts/type1/gsfonts/c059016l.pfb",fsize=48):
#put these here so that they are not imported until needed
from wand.image import Image
from wand.font import Font
from wand.color import Color
# convert -size 1000x180 xc:transparent -fx 0 -channel A -fx 'cos(0.6*pi*(i/w-0.5))-0.0' background.png
img=Image(filename="background1280.png")
fontwhite=Font(path=font,color=Color("white"),size=fsize,antialias=True)
fontblack=Font(path=font,color=Color("black"),size=fsize,antialias=True)
img.caption(text,font=fontblack,gravity='center',left=8,top=8)
img.caption(text,font=fontwhite,gravity='center')
final = Image(width=1280,height=720)
final.composite(img,0,530)
return final
def create_row(imgs, offsets, gap, fixed_width=0, caption=None, caption_offset=(0,0)): row_width = 0 i = 0 row_height = 0 for img in imgs: if isinstance(img, Image): row_width += img.width + gap row_height = max(img.height, row_height) else: row_width += offsets[i][0] + gap i += 1 if fixed_width: row_width = fixed_width row = Image(width=row_width, height=row_height) i = 0 x = 0 for img in imgs: if isinstance(img, Image): row.composite(img, left=x + offsets[i], top=(row_height - img.height) / 2) x += img.width + offsets[i] + gap else: (offset_x, offset_y, width, font) = offsets[i] row.caption(img, left=x + offset_x, top=offset_y, width=250, height=250, font=font) x += width + gap i += 1 if caption: caption_font = Font(path="%s/source-code-pro/SourceCodePro-Medium.otf" % args.fonts, size=14) row_w_caption = Image(width=row_width, height=row_height+20) row_w_caption.caption(caption, left=caption_offset[0], top=caption_offset[1], width=1450, height=50, font=caption_font) row_w_caption.composite(row, left=0, top=20) return row_w_caption else: return row
def compose_adaptive_prey(img_paths=None,
match_json=None,
gap=5,
horizontal_gap=5,
description=None,
caption="Catcierge"):
img = Image(width=600, height=1124, background=Color("#8A968E"))
#print("Font path: %s" % args.fonts)
font = Font(path="%s/source-code-pro/SourceCodePro-Medium.otf" %
args.fonts,
size=64)
font_title = Font(path="%s/alex-brush/AlexBrush-Regular.ttf" % args.fonts,
size=64)
font_math = Font(path="%s/Asana-Math/Asana-Math.otf" % args.fonts, size=64)
imgs = []
assert (img_paths and (len(img_paths) > 0)) or match_json, \
"Missing either a list of input image paths or a match json"
if not img_paths or len(img_paths) == 0:
step_count = match_json["step_count"]
for step in match_json["steps"][:step_count]:
print("Step: %s" % step["name"])
img_paths.append(step["path"])
# TODO: Allow any matcher type and number of images...
assert len(img_paths) == 1 or len(img_paths) == 11, \
"Invalid number of images %d, expected 2 or 11" % len(img_paths)
for img_path in img_paths:
#print img_path
imgs.append(Image(filename=img_path))
mpos = lambda w: (img.width - w) / 2
if len(img_paths) == 1:
img.caption(caption,
left=(img.width - 250) / 2,
top=5,
width=250,
height=100,
font=font_title)
img.composite(imgs[0], left=mpos(imgs[0].width), top=120)
return img
orgimg = imgs[0] # Original image.
detected = imgs[1] # Detected cat head roi.
croproi = imgs[2] # Cropped/extended roi.
globalthr = imgs[3] # Global threshold (inverted).
adpthr = imgs[4] # Adaptive threshold (inverted).
combthr = imgs[5] # Combined threshold.
opened = imgs[6] # Opened image.
dilated = imgs[7] # Dilated image.
combined = imgs[8] # Combined image (re-inverted).
contours = imgs[9] # Contours of white areas.
final = imgs[10] # Final image.
# TODO: Enable creating these based on input instead.
kernel3x3 = create_kernel(w=3, h=3)
kernel2x2 = create_kernel(w=2, h=2)
kernel5x1 = create_kernel(w=5, h=1)
x_start = 20
img.caption(caption,
left=(img.width - 250) / 2,
top=5,
width=250,
height=100,
font=font_title)
if description:
desc_font = Font(path="%s/source-code-pro/SourceCodePro-Medium.otf" %
args.fonts,
size=24)
text_width = (desc_font.size) * int(len(description) * 0.7)
img.caption(description,
left=(img.width - text_width) / 2,
top=80,
width=text_width,
height=100,
font=desc_font)
height = 120
# Original.
img.composite(orgimg, left=mpos(orgimg.width), top=height)
height += orgimg.height + gap
# Detected head + cropped region of interest.
head_row = create_row([detected, croproi], [0, 0],
horizontal_gap,
caption="Detected head Cropped ROI")
img.composite(head_row, left=mpos(head_row.width), top=height)
height += head_row.height + gap
# TODO: simplify the code below by making the symbols into images before they're used to create the rows.
# Combine the threshold images.
thr_row = create_row(
[globalthr, "+", adpthr, "=", combthr], [
x_start, (4 * horizontal_gap, -15, 14 * horizontal_gap, font), 0,
(2 * horizontal_gap, -15, 8 * horizontal_gap, font),
2 * horizontal_gap
],
horizontal_gap,
fixed_width=img.width,
caption=
"Global Threshold Adaptive Threshold Combined Threshold",
caption_offset=(x_start, 0))
img.composite(thr_row, left=mpos(thr_row.width), top=height)
height += thr_row.height + gap
# Open the combined threshold.
open_row = create_row(
[combthr, u"∘", kernel2x2, "=", opened], [
x_start,
(5 * horizontal_gap, -5, 14 * horizontal_gap, font_math), 0,
(21 * horizontal_gap, -15, 10 * horizontal_gap, font),
19 * horizontal_gap + 3
],
horizontal_gap,
fixed_width=img.width,
caption=
"Combined Threshold 2x2 Kernel Opened Image",
caption_offset=(x_start, 0))
img.composite(open_row, left=mpos(open_row.width), top=height)
height += open_row.height + gap
# Dilate opened and combined threshold with a kernel3x3.
dilated_row = create_row(
[opened, u"⊕", kernel3x3, "=", dilated], [
x_start,
(3 * horizontal_gap, -5, 14 * horizontal_gap, font_math), 0,
(17 * horizontal_gap, -15, 10 * horizontal_gap, font),
15 * horizontal_gap + 3
],
horizontal_gap,
fixed_width=img.width,
caption=
"Opened Image 3x3 Kernel Dilated Image",
caption_offset=(x_start, 0))
img.composite(dilated_row, left=mpos(dilated_row.width), top=height)
height += dilated_row.height + gap
# Inverted image and contour.
contour_row = create_row([combined, contours], [0, 0],
horizontal_gap,
caption=" Re-Inverted Contours")
img.composite(contour_row, left=mpos(contour_row.width), top=height)
height += contour_row.height + 2 * gap
# Final.
img.composite(final, left=mpos(final.width), top=height)
height += final.height + gap
return img
pages = 1
image = Image(
width = imageFromPdf.width,
height = imageFromPdf.height*pages
)
for i in range(pages):
image.composite(
imageFromPdf.sequence[i],
top = imageFromPdf.height * i,
left = 0
)
image.resize(250,250)
image.alpha_channel = False
image.format = 'png'
print(image.size)
image.background_color = Color('pink')
image.type = 'grayscale'
image.caption = file.split('.')[0]
image.save(filename = fileDirectory+file.split('.')[0]+".png")
image.clear()
image.close()
#display(image)
def compose_adaptive_prey(img_paths=None, match_json=None, gap=5, horizontal_gap=5, description=None, caption="Catcierge"):
img = Image(width=600, height=1124, background=Color("#8A968E"))
#print("Font path: %s" % args.fonts)
font = Font(path="%s/source-code-pro/SourceCodePro-Medium.otf" % args.fonts, size=64)
font_title = Font(path="%s/alex-brush/AlexBrush-Regular.ttf" % args.fonts, size=64)
font_math = Font(path="%s/Asana-Math/Asana-Math.otf" % args.fonts, size=64)
imgs = []
assert (img_paths and (len(img_paths) > 0)) or match_json, \
"Missing either a list of input image paths or a match json"
if not img_paths or len(img_paths) == 0:
step_count = match_json["step_count"]
for step in match_json["steps"][:step_count]:
print("Step: %s" % step["name"])
img_paths.append(step["path"])
# TODO: Allow any matcher type and number of images...
assert len(img_paths) == 1 or len(img_paths) == 11, \
"Invalid number of images %d, expected 2 or 11" % len(img_paths)
for img_path in img_paths:
#print img_path
imgs.append(Image(filename=img_path))
mpos = lambda w: (img.width - w) / 2
if len(img_paths) == 1:
img.caption(caption, left=(img.width - 250) / 2, top=5, width=250, height=100, font=font_title)
img.composite(imgs[0], left=mpos(imgs[0].width), top=120)
return img
orgimg = imgs[0] # Original image.
detected = imgs[1] # Detected cat head roi.
croproi = imgs[2] # Cropped/extended roi.
globalthr = imgs[3] # Global threshold (inverted).
adpthr = imgs[4] # Adaptive threshold (inverted).
combthr = imgs[5] # Combined threshold.
opened = imgs[6] # Opened image.
dilated = imgs[7] # Dilated image.
combined = imgs[8] # Combined image (re-inverted).
contours = imgs[9] # Contours of white areas.
final = imgs[10] # Final image.
# TODO: Enable creating these based on input instead.
kernel3x3 = create_kernel(w=3, h=3)
kernel2x2 = create_kernel(w=2, h=2)
kernel5x1 = create_kernel(w=5, h=1)
x_start = 20
img.caption(caption, left=(img.width - 250) / 2, top=5, width=250, height=100, font=font_title)
if description:
desc_font = Font(path="%s/source-code-pro/SourceCodePro-Medium.otf" % args.fonts, size=24)
text_width = (desc_font.size) * int(len(description) * 0.7)
img.caption(description, left=(img.width - text_width) / 2, top=80, width=text_width, height=100, font=desc_font)
height = 120
# Original.
img.composite(orgimg, left=mpos(orgimg.width), top=height)
height += orgimg.height + gap
# Detected head + cropped region of interest.
head_row = create_row([detected, croproi], [0, 0], horizontal_gap, caption="Detected head Cropped ROI")
img.composite(head_row, left=mpos(head_row.width), top=height)
height += head_row.height + gap
# TODO: simplify the code below by making the symbols into images before they're used to create the rows.
# Combine the threshold images.
thr_row = create_row([globalthr, "+", adpthr, "=", combthr],
[x_start,
(4 * horizontal_gap, -15, 14 * horizontal_gap, font),
0,
(2 * horizontal_gap, -15, 8 * horizontal_gap, font),
2 * horizontal_gap],
horizontal_gap, fixed_width=img.width,
caption="Global Threshold Adaptive Threshold Combined Threshold",
caption_offset=(x_start, 0))
img.composite(thr_row, left=mpos(thr_row.width), top=height)
height += thr_row.height + gap
# Open the combined threshold.
open_row = create_row([combthr, u"∘", kernel2x2, "=", opened],
[x_start,
(5 * horizontal_gap, -5, 14 * horizontal_gap, font_math),
0,
(21 * horizontal_gap, -15, 10 * horizontal_gap, font),
19 * horizontal_gap + 3],
horizontal_gap, fixed_width=img.width,
caption="Combined Threshold 2x2 Kernel Opened Image",
caption_offset=(x_start, 0))
img.composite(open_row, left=mpos(open_row.width), top=height)
height += open_row.height + gap
# Dilate opened and combined threshold with a kernel3x3.
dilated_row = create_row([opened, u"⊕", kernel3x3, "=", dilated],
[x_start,
(3 * horizontal_gap, -5, 14 * horizontal_gap, font_math),
0,
(17 * horizontal_gap, -15, 10 * horizontal_gap, font),
15 * horizontal_gap + 3],
horizontal_gap, fixed_width=img.width,
caption="Opened Image 3x3 Kernel Dilated Image",
caption_offset=(x_start, 0))
img.composite(dilated_row, left=mpos(dilated_row.width), top=height)
height += dilated_row.height + gap
# Inverted image and contour.
contour_row = create_row([combined, contours], [0, 0], horizontal_gap, caption=" Re-Inverted Contours")
img.composite(contour_row, left=mpos(contour_row.width), top=height)
height += contour_row.height + 2 * gap
# Final.
img.composite(final, left=mpos(final.width), top=height)
height += final.height + gap
return img
