Skip to main content

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


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyfastblur-1.3.tar.gz (353.4 kB view details)

Uploaded Source

Built Distribution

pyfastblur-1.3-cp39-cp39-win_amd64.whl (521.1 kB view details)

Uploaded CPython 3.9 Windows x86-64

File details

Details for the file pyfastblur-1.3.tar.gz.

File metadata

  • Download URL: pyfastblur-1.3.tar.gz
  • Upload date:
  • Size: 353.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.58.0 CPython/3.9.2

File hashes

Hashes for pyfastblur-1.3.tar.gz
Algorithm Hash digest
SHA256 abb0c023372c2f8235b6552448ad518f67c5e83cd8e62721e4cceb92b9e91692
MD5 fc632e2f2f6594bb62b672acdffcae4b
BLAKE2b-256 b6b42c511cc793ff65693e9aa9e3407f4aa705d4aa5e9f2824f84980a3397059

See more details on using hashes here.

File details

Details for the file pyfastblur-1.3-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: pyfastblur-1.3-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 521.1 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.58.0 CPython/3.9.2

File hashes

Hashes for pyfastblur-1.3-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 36dab684fbedfc2f6d12d380c6d7ff70689312638ea54afe0a93dbe0780d1cb5
MD5 693affba2ecc1899dd588c55c42c7d69
BLAKE2b-256 abfc598ddc0045b3ab3e2e0c5b0506f26594c0eda947a42748d137e1793fb732

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page