def scale_and_crop(path,
requested_size,
row,
col,
zoom,
image,
cache_image_open=False):
im = Image.open(path)
x, y = [float(v) for v in im.size]
xr, yr = [float(v) for v in requested_size]
r = min(xr / x, yr / y)
box = (256 * row, 256 * col, 256 * (row + 1), 256 * (col + 1))
w, h = int(round(x * r)), int(round(y * r))
_cache_key = '%s-%s-%s' % (image, zoom, w)
pathname, extension = os.path.splitext(path)
width = 256 * (2**zoom)
_resized_file = path.replace(extension,
'-%s-%s%s' % (zoom, width, extension))
if not os.path.isfile(_resized_file):
# resizer.make_resize() uses `convert` so it's much more memory
# efficient
print "Having to use make_resize()"
t0 = time.time()
_resized_file = make_resize(path, zoom)
t1 = time.time()
print "\ttook", round(t1 - t0, 2), "seconds"
time.sleep(0.5) # time to save it
if cache_image_open:
if _cache_key in _RESIZES:
im = _RESIZES[_cache_key]
else:
im = Image.open(_resized_file)
print "Having to use Image.open()"
_RESIZES[_cache_key] = im
_TIMESTAMPS[_cache_key] = time.time()
# to avoid memory bloat of `_RESIZES` getting too large, instead use the
# `_TIMESTAMPS` dict to keep track of which Image instances are getting old
_now = time.time()
for key, timestamp in _TIMESTAMPS.items():
age = _now - timestamp
if age > 10:
print "CLEAR", key
del _TIMESTAMPS[key]
del _RESIZES[key]
else:
im = Image.open(_resized_file)
# convert (width, height, x, y) into PIL crop box
return im.crop(box)
def scale_and_crop(path, requested_size, row, col, zoom, image,
cache_image_open=False):
im = Image.open(path)
x, y = [float(v) for v in im.size]
xr, yr = [float(v) for v in requested_size]
r = min(xr / x, yr / y)
box = (256 * row, 256 * col, 256 * (row + 1), 256 * (col + 1))
w, h = int(round(x * r)), int(round(y * r))
_cache_key = '%s-%s-%s' % (image, zoom, w)
pathname, extension = os.path.splitext(path)
width = 256 * (2 ** zoom)
_resized_file = path.replace(
extension,
'-%s-%s%s' % (zoom, width, extension)
)
if not os.path.isfile(_resized_file):
# resizer.make_resize() uses `convert` so it's much more memory
# efficient
print "Having to use make_resize()"
t0 = time.time()
_resized_file = make_resize(path, zoom)
t1 = time.time()
print "\ttook", round(t1 - t0, 2), "seconds"
time.sleep(0.5) # time to save it
if cache_image_open:
if _cache_key in _RESIZES:
im = _RESIZES[_cache_key]
else:
im = Image.open(_resized_file)
print "Having to use Image.open()"
_RESIZES[_cache_key] = im
_TIMESTAMPS[_cache_key] = time.time()
# to avoid memory bloat of `_RESIZES` getting too large, instead use the
# `_TIMESTAMPS` dict to keep track of which Image instances are getting old
_now = time.time()
for key, timestamp in _TIMESTAMPS.items():
age = _now - timestamp
if age > 10:
print "CLEAR", key
del _TIMESTAMPS[key]
del _RESIZES[key]
else:
im = Image.open(_resized_file)
# convert (width, height, x, y) into PIL crop box
return im.crop(box)
def scale_and_crop(path, requested_size, row, col, zoom, image):
im = Image.open(path)
x, y = [float(v) for v in im.size]
xr, yr = [float(v) for v in requested_size]
r = min(xr / x, yr / y)
box = (256 * row, 256 * col, 256 * (row + 1), 256 * (col + 1))
w, h = int(round(x * r)), int(round(y * r))
_cache_key = '%s-%s-%s' % (image, zoom, w)
pathname, extension = os.path.splitext(path)
_resized_file = path.replace(
extension,
'-%s-%s%s' % (zoom, w, extension)
)
already = _RESIZES.get(_cache_key)
if already:
im = already
else:
if not os.path.isfile(_resized_file):
# resizer.make_resize() uses `convert` so it's much more memory
# efficient
print "Having to use make_resize()"
t0 = time.time()
make_resize(path, zoom)
t1 = time.time()
print "\ttook", round(t1 - t0, 2), "seconds"
time.sleep(1) # time to save it
if (os.path.isfile(_resized_file) and
os.stat(_resized_file)[stat.ST_SIZE]):
print "REUSING", _resized_file
logging.debug('REUSING %s' % _resized_file)
im = Image.open(_resized_file)
#print "Assert?", (im.size, (w,h))
else:
print "Need to resize... FAIL!"
t0 = time.time()
im = im.resize((w, h),
resample=Image.ANTIALIAS)
t1 = time.time()
logging.debug("SAVE RESIZED TO %s" % _resized_file)
im.save(_resized_file)
print "SAVE RESIZED TO", _resized_file
print "\t", round(t1 - t0, 2), "seconds to resize"
_RESIZES[_cache_key] = im
_TIMESTAMPS[_cache_key] = time.time()
# to avoid memory bloat of `_RESIZES` getting too large, instead use the
# `_TIMESTAMPS` dict to keep track of which Image instances are getting old
_now = time.time()
for key, timestamp in _TIMESTAMPS.items():
age = _now - timestamp
if age > 10:
del _TIMESTAMPS[key]
del _RESIZES[key]
# convert (width, height, x, y) into PIL crop box
return im.crop(box)
