python-pillow/Pillow
1
1
Fork 0
mirror of https://github.com/python-pillow/Pillow.git synced 2025-08-26 23:24:45 +03:00
Code Issues Packages Projects Releases Wiki Activity

REBASE OUT benchmark script

Browse Source
This commit is contained in:
Eric Soroos 2017-11-30 21:05:43 +00:00
parent c80d375b7f
commit 209a7754c0
2 changed files with 36 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

BIN
Tests/5k_image.jpg Normal file
View File

Binary file not shown.
Side by Side

After

Width:  |  Height:  |  Size: 6.4 MiB

36
Tests/mpbench.py Normal file
View File

@ -0,0 +1,36 @@
from PIL import Image
import time
import math
def timeit(n, f, *args, **kwargs):
def run():
start = time.time()
f(*args, **kwargs)
return time.time() - start
runs = [run() for _ in range(n)]
mean = sum(runs)/float(n)
stddev = math.sqrt(sum((r-mean)**2 for r in runs)/float(n))
return {'mean':mean,
'median': sorted(runs)[int(n/2)],
'min': min(runs),
'max': max(runs),
'stddev':stddev,
'dev_pct': stddev/mean*100.0
}
#return min(run() for _ in range(n))
n = 400
image = Image.open('5k_image.jpg').copy()
print 'warmup {mean:.4}'.format(**timeit(n // 4, image.im.resize, (2048, 1152), Image.ANTIALIAS))
print "%s runs"%n
print "Interpolation | Size | min | max | mean | median| stddev | Dev %"
print "--------- | --------- | ----- | ----- | ----- | ----- | ----- | ----"
print 'Antialias | 2048x1152 | {min:5.3f} | {max:5.3f} | {mean:5.3f} | {median:5.3f} | {stddev:5.4f} | {dev_pct:4.1f}%'.format(**timeit(n, image.im.resize, (2048, 1152), Image.ANTIALIAS))
print 'Antialias | 320x240 | {min:5.3f} | {max:5.3f} | {mean:5.3f} | {median:5.3f} | {stddev:5.4f} | {dev_pct:4.1f}%'.format(**timeit(n, image.im.resize, (320, 240), Image.ANTIALIAS))
print 'Bicubic | 2048x1152 | {min:5.3f} | {max:5.3f} | {mean:5.3f} | {median:5.3f} | {stddev:5.4f} | {dev_pct:4.1f}%'.format(**timeit(n, image.im.resize, (2048, 1152), Image.BICUBIC))
print 'Bicubic | 320x240 | {min:5.3f} | {max:5.3f} | {mean:5.3f} | {median:5.3f} | {stddev:5.4f} | {dev_pct:4.1f}%'.format(**timeit(n, image.im.resize, (320, 240), Image.BICUBIC))
print 'Bilinear | 2048x1152 | {min:5.3f} | {max:5.3f} | {mean:5.3f} | {median:5.3f} | {stddev:5.4f} | {dev_pct:4.1f}%'.format(**timeit(n, image.im.resize, (2048, 1152), Image.BILINEAR))
print 'Bilinear | 320x240 | {min:5.3f} | {max:5.3f} | {mean:5.3f} | {median:5.3f} | {stddev:5.4f} | {dev_pct:4.1f}%'.format(**timeit(n, image.im.resize, (320, 240), Image.BILINEAR))