from gluon import current
import os
try:
from PIL import Image
except:
import Image
def SMARTHUMB(image, box, fit=True, name="thumb"):
'''Downsample the image.
@param img: Image - an Image-object
@param box: tuple(x, y) - the bounding box of the result image
@param fit: boolean - crop the image to fill the box
'''
if image:
request = current.request
image_dir =
*current.db.auth_user.image.retrieve_file_properties(image)['path']
#__find_image_dir__(image, os.path.join(request.folder, 'uploads'))*
img = Image.open(os.path.join(image_dir, image))
#preresize image with factor 2, 4, 8 and fast algorithm
factor = 1
while img.size[0] / factor > 2 * box[0] and img.size[1] * 2 /
factor > 2 * box[1]:
factor *= 2
if factor > 1:
img.thumbnail((img.size[0] / factor, img.size[1] / factor),
Image.NEAREST)
#calculate the cropping box and get the cropped part
if fit:
x1 = y1 = 0
x2, y2 = img.size
wRatio = 1.0 * x2 / box[0]
hRatio = 1.0 * y2 / box[1]
if hRatio > wRatio:
y1 = int(y2 / 2 - box[1] * wRatio / 2)
y2 = int(y2 / 2 + box[1] * wRatio / 2)
else:
x1 = int(x2 / 2 - box[0] * hRatio / 2)
x2 = int(x2 / 2 + box[0] * hRatio / 2)
img = img.crop((x1, y1, x2, y2))
#Resize the image with best quality algorithm ANTI-ALIAS
img.thumbnail(box, Image.ANTIALIAS)
root, ext = os.path.splitext(image)
thumb = '%s_%s%s' % (root, name, ext)
img.save(os.path.join(image_dir,thumb))
return thumb
On Fri, Jul 12, 2013 at 11:47 AM, Richard Vézina <
[email protected]> wrote:
>
> db.table.image_field.retrieve_file_properties(db.table_iamge_field(id).image_field)['path']
>
> Just not sure I can get file_properties in compute...
>
> Richard
>
>
> On Fri, Jul 12, 2013 at 11:34 AM, Richard Vézina <
> [email protected]> wrote:
>
>> Think this is helpful :
>>
>> retrieve_file_properties
>>
>> https://groups.google.com/forum/#!topic/web2py/p1W1cSKLjfc
>> https://groups.google.com/d/msg/web2py/epWzBU9sD_c/naBEfJ4t18sJ
>>
>> Richard
>>
>>
>>
>> On Fri, Jul 12, 2013 at 11:04 AM, Richard <[email protected]>wrote:
>>
>>> Hello,
>>>
>>> I would like to know how I can get the folder name on
>>> uploadseparate=True in order to pass it to the to the thumbnail generating
>>> function base on Bruno slice :
>>> http://www.web2pyslices.com/slice/show/1522/generate-a-thumbnail-that-fits-in-a-box
>>>
>>> We already found a workaround with os.walk, but with greate amount of
>>> folder it will come slow with time :
>>>
>>> #!/usr/bin/env python
>>> # coding: utf8
>>>
>>> from gluon import current
>>> import os
>>> try:
>>> from PIL import Image
>>> except:
>>> import Image
>>>
>>> def SMARTHUMB(image, box, fit=True, name="thumb"):
>>> '''Downsample the image.
>>> @param img: Image - an Image-object
>>> @param box: tuple(x, y) - the bounding box of the result image
>>> @param fit: boolean - crop the image to fill the box
>>> '''
>>> if image:
>>> request = current.request
>>> image_dir = __find_image_dir__(image,
>>> os.path.join(request.folder, 'uploads'))
>>> img = Image.open(os.path.join(image_dir, image))
>>> #preresize image with factor 2, 4, 8 and fast algorithm
>>> factor = 1
>>> while img.size[0] / factor > 2 * box[0] and img.size[1] * 2 /
>>> factor > 2 * box[1]:
>>> factor *= 2
>>> if factor > 1:
>>> img.thumbnail((img.size[0] / factor, img.size[1] / factor),
>>> Image.NEAREST)
>>>
>>> #calculate the cropping box and get the cropped part
>>> if fit:
>>> x1 = y1 = 0
>>> x2, y2 = img.size
>>> wRatio = 1.0 * x2 / box[0]
>>> hRatio = 1.0 * y2 / box[1]
>>> if hRatio > wRatio:
>>> y1 = int(y2 / 2 - box[1] * wRatio / 2)
>>> y2 = int(y2 / 2 + box[1] * wRatio / 2)
>>> else:
>>> x1 = int(x2 / 2 - box[0] * hRatio / 2)
>>> x2 = int(x2 / 2 + box[0] * hRatio / 2)
>>> img = img.crop((x1, y1, x2, y2))
>>>
>>> #Resize the image with best quality algorithm ANTI-ALIAS
>>> img.thumbnail(box, Image.ANTIALIAS)
>>>
>>> root, ext = os.path.splitext(image)
>>> thumb = '%s_%s%s' % (root, name, ext)
>>> img.save(os.path.join(image_dir,thumb))
>>> return thumb
>>>
>>> def __find_image_dir__(name, path):
>>> for root, dirs, files in os.walk(path):
>>> if name in files:
>>> return root
>>>
>>> Thanks
>>>
>>> Richard
>>>
>>> --
>>>
>>> ---
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>>>
>>>
>>>
>>
>>
>
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