Small Python library with a single purpose to apply fast blur to PNG images (libpng backend)
Project description
pyfastblur
Small Python library with a single purpose to apply fast blur to PNG images (libpng backend)
Install
Windows: python -m pip install pyfastblur
Linux:
git clone https://github.com/sertraline/pyfastblur && cd pyfastblur
python3 setup.py build bdist_wheel
cd dist && python3 -m pip install ./pyfastblur*.whl
Usage
# example 1
import pyfastblur
result = pyfastblur.blur("path/to/file.png", radius=24)
# example 2
result = pyfastblur.blur("path/to/file.png",
radius=24,
enable_gaussian=True)
# enable_gaussian processes the image with gaussian blur instead of box blur (slower)
# example 3
from io import BytesIO
# read image into memory object
obj = BytesIO()
with open("test.png", 'rb') as f:
obj.write(f.read())
# rewind
obj.seek(0)
result = pyfastblur.blur(obj, radius=24)
# write result to file
with open("output.png", 'wb') as f:
f.write(result.read())
Speed
Sample image: link (3.55MB)
Code:
import pyfastblur
import time
from io import BytesIO
runs = 6
average = 0.0
for i in range(runs):
start = time.time()
# read image into memory object
obj = BytesIO()
with open("test.png", 'rb') as f:
obj.write(f.read())
# rewind
obj.seek(0)
# output: BytesIO object
out = pyfastblur.blur(obj, radius=64)
# write to file
with open("output.png", 'wb') as f:
f.write(out.read())
average += (time.time() - start)
average = average / runs
print("Average runtime: %s seconds" % str(average))
Result (Windows): Average runtime: 0.5009152094523112 seconds
Project details
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pyfastblur-1.3.tar.gz
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