Your description leaves a bit of room for interpretation - you would like scaling, but also splitting into a multiline string... so there's a minimum font size involved, and once you hit that, it starts splitting the string rather than scaling?
Essentially, https://pillow.readthedocs.io/en/stable/reference/ImageFont.html#example shows how to draw that on an image
You will have to use https://pillow.readthedocs.io/en/stable/reference/ImageFont.html#PIL.ImageFont.FreeTypeFont.getsize to calculate the space that your text will occupy, and change the font size accordingly. Pillow does not provide built-in scaling. Similarly, you will have to split the string into multiple lines yourself.
Hello, I'm trying to take a gif and split it into 4 pieces, I've got all of my frames split but I'm having an issue when it comes to saving the actual gifs.
I've got
for frames in gifs:
first_frame = frames[0]
first_frame.save (f'{gif_index}.gif', 'GIF', save_all=True, append_images=frames[1:], optimize=False, loop=0, duration=original_duration)and the length of frames is 2, it seems that when the 2 frames are identical the gif gets saved as a single frame (which i've verified by reading the saved gif back in and checking n_fames). It looks like it's this issue python-pillow/Pillow#2314 but that looks like it was fixed?
Hello so i did & C:/Users/lior/AppData/Local/Programs/Python/Python38-32/python.exe -m pip install Pillow
But its still showing
Traceback (most recent call last):
File "c:/Users/lior/Documents/e3.py", line 8, in <module>
from pillow import Image, ImageDraw, ImagePalette, ImageFont
ModuleNotFoundError: No module named 'pillow'
Hey Everyone,
I am getting a little bit frustrated here hoping someone could point me in the right direction as I am unable to find it myself.
I have images at the moment of which I want the full summary of “MetaData” within the file. This includes also other summary data found within the file such as ones that are left behind by other software like Photoshop. But at this moment I am unable to find any solution. Would anyone be able to point me in the right direction?
Looking forward to your reply!
https://stackoverflow.com/questions/65034220/how-to-keep-same-colors-when-converting-cmyk-image-to-rgb-using-pil
from io import BytesIO
from PIL import Image
with open("Tests/images/dxt1-rgb-4bbp-noalpha_MipMaps-1.dds", "rb") as fp:
data = fp.read()
b = BytesIO(data)
with Image.open(b) as im:
im.load()
print(im.size)
from PIL import Image, ImageSequence
def addOverlay(frame):
im = Image.open('Tests/images/hopper.png')
position = 'topLeft'
coords = {
'topLeft': (0, 0),
'bottomRight': (frame.width - im.width, frame.height - im.height)
}
frame.paste(im, coords[position])
return frame
im = Image.open('Tests/images/iss634.gif')
# Run 'addOverlay' on each frame in the image
frames = ImageSequence.all_frames(im, addOverlay)
# Save the frames as a new image
frames[0].save('out.gif', save_all=True, append_images=frames[1:])
background transparency solved
2021-03-03 22:34:52,004:ERROR:An unknown error occurred while creating a notification image: Traceback (most recent call last):
File "trade_worker.py", line 92, in send_trade
File "notification_builder.py", line 81, in build_image
File "notification_builder.py", line 132, in stitch_text
File "PIL\ImageDraw.py", line 373, in text
File "PIL\ImageDraw.py", line 324, in draw_text
File "PIL\ImageFont.py", line 667, in getmask2
OSError: invalid face handlestitch_text and above is my own functions, everything below is PIL.
I presume you have a large image, and are looking to scale it down? If so, here's a rough solution.
import io, os
from PIL import Image
def resize(im, factor):
return im.resize((int(im.width * factor), int(im.height * factor)), Image.ANTIALIAS)
def getsize(im, factor):
im_resized = resize(im, factor)
# Save to memory, rather than disk, and check size
with io.BytesIO() as fp:
im_resized.save(fp, "PNG")
return fp.getbuffer().nbytes
def scale_down_to_size(im, destination_size):
size = getsize(im, 1)
if size < destination_size:
print("Already small enough: "+str(size))
return im
# Binary search
factor = 0.5
gap = 0.5
while gap > 0.0005:
gap *= 0.5
size = getsize(im, factor)
if size > destination_size:
factor -= gap
else:
factor += gap
if size > destination_size:
factor -= gap
size = getsize(im, factor)
print("Final size: "+str(size))
return resize(im, factor)
with Image.open("Tests/images/hopper.png") as im:
im = scale_down_to_size(im, 500 * 1024) # 500 kb
im.save("out.png")