Is there a way to identify the exact settings for Image.save from original image (to avoid image size on disk inflation)?
img_path = Path("my_image.jpeg")
o = Image.open(img_path)
print(f"Original image size: {img_path.lstat().st_size}")
... # perform lossless transformations like crop
o.save("transformed_img.jpeg", quality=100, subsampling=0)This approach leads to an increase in size. I'm not sure how to achieve this.
from PIL import Image
colors = ((0,160,0),(33,150,243),(88,88,88),(255,0,0))
with Image.open('tradingview.png') as im:
px = im.load()
x, y = 0, 0
currentColor = None
processedPixels = []
i = 0
# Start searching through all the pixels
for y in range(0, im.height):
for x in range(0, im.width + 1):
def getColor(x, y):
try:
return px[x, y]
except IndexError:
return
if (x, y) in processedPixels:
continue
color = getColor(x, y)
if color != currentColor:
if currentColor is not None:
max_x = x
# The color line has ended, from min_x to max_x
x_range = min_x, max_x
# The left side of our rectangle must also be a solid color
# So search from the top left until we have a solid left side
for y2 in range(y+1, im.height+1):
for x2 in range(min_x, max_x+1):
if getColor(x2, y2) == currentColor:
min_x = x2
break
else:
# No color in this line, so we have hit the bottom of the rectangle
max_y = y2
break
# The same for the right side
for y2 in range(y+1, max_y+1):
for x2 in range(max_x+1, min_x, -1):
if getColor(x2, y2) == currentColor:
max_x = x2
break
# Check that this rectangle is of a reasonable size
if max_x - min_x > 10 and max_y - y > 10:
# Record that we've processed these pixels, to save time
for y2 in range(y, max_y+1):
for x2 in range(x_range[0], x_range[1]+1):
processedPixels.append((x2, y2))
# Check that the box is not purely one color
singleColor = True
for y2 in range(y, max_y+1):
for x2 in range(min_x, max_x+1):
if getColor(x2, y2) != currentColor:
singleColor = False
break
if not singleColor:
break
if not singleColor:
i += 1
# Save the cropped image
im.crop((min_x, y, max_x, max_y)).save("out_"+str(i)+".png")
if color in colors:
# Start a line with a relevant color
currentColor = color
min_x = x
else:
currentColor = None
getsize.from PIL import Image, ImageFont
font=ImageFont.truetype('Tests/fonts/FreeMono.ttf', size=14)
print(font.getsize('Username')) # (68, 12)
font=ImageFont.truetype('Tests/fonts/FreeMono.ttf', size=28)
print(font.getsize('Username')) # (135, 23)
Pillow is a fork of PIL.
PIL has its last release in 2009
Pillow had its last release a week ago. So there are a variety of features, bug fixes and security fixes that have been performed since PIL. However, Pillow is largely backwards compatible with the PIL API.
PIL does not support Python 3
Pillow supports Python 3, and dropped support for Python 2 a few releases ago.
from PIL import Image
im = Image.open('test.jpg') # completes successfully
im.copy() # fails with OSError: image file is truncated (0 bytes not processed)
2 replies
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)