我已经设法安装(经过很多努力)django-imagekit,我现在能够使用django-imagekit来压缩上传图像的文件大小。
我可以上传6MB的图像,当我使用10的质量时,django-imagekit会将图像压缩到230KB(见下文)。
当上传的图像大小为300Kb,1MB,2MB,3MB或更大时,有没有办法使用不同的文件压缩(django-imagekit将其称为质量)(我在想if / elseif / else语句确认图像的大小并在图像的大小(KB)越大的情况下应用更低的质量?10的文件压缩适用于较大尺寸的图像,但是对于较小尺寸的图像(例如25Kb),会严重降低图像的质量。
我甚至不确定如何编写代码以及我将放置实现此目的的代码。所以任何帮助将不胜感激。
这是我的相关models.py文件代码:
from imagekit.processors import Adjust, ResizeToFill
from imagekit.models import ProcessedImageField
class NameDetails(models.Model, FillableModelWithLanguageVersion):
user = models.ForeignKey(User)
....
#name_details_photograph = models.ImageField(upload_to=_get_name_details_photograph_upload_location, null=True, blank=True)
name_details_photograph = ProcessedImageField(upload_to=_get_name_details_photograph_upload_location, null=True, blank=True, options={'quality': 25}, processors=[Adjust(sharpness=1.1),])
....
def __unicode__(self):
return unicode(self.user)
编辑:
我试图实现ProcessedImageField类的表单字段版本,但这不会上传图像。
这是我在将models.py代码更改回图像字段时尝试的表单代码(上面已注释掉):
from imagekit.forms import ProcessedImageField
from imagekit.processors import Adjust, ResizeToFill
class NameDetailsForm(forms.ModelForm):
def __init__(self, available_languages, language_preference, file_required, *args, **kwargs):
"""
available_languages should be a valid choices list
"""
super(NameDetailsForm, self).__init__(*args, **kwargs)
self.fields['language_code'] = forms.ChoiceField(choices=available_languages, initial=language_preference, label=_('Language'),)
#self.fields['name_details_photograph'] = forms.FileField(label=_('Photograph'), required=file_required)
self.fields['name_details_photograph'] = ProcessedImageField(label=_('Photograph'), required=file_required, spec_id='myapp:profile:name_details_photograph', options={'quality': 25}, processors=[Adjust(sharpness=1.1),])
class Meta:
model = NameDetails
我要提供的解决方案完全未经测试。它基于imagekit
库的源代码。
options
kwarg
被ImageSpec
类用于将它传递给PIL的Image.save()
。
因此,对于动态options
,你可以创建自己的Spec
类,将options
定义为property
,并使用getter
返回一个即时的options
。就像是:
from imagekit import ImageSpec
from imagekit.processors import Adjust, ResizeToFill
class ThumbnailSpec(ImageSpec):
format = 'JPEG'
options={'quality': 50}
processors=[Adjust(sharpness=1.1),]
@property
def options(self):
options = self._options
#You can create some checks here and choose to change the options
#you can access the file with self.source
if self.source.size > 2*100*100:
options['quality'] -= 25
return options
@options.setter
def options(self, value):
self._options = value
最后使用你的ThumbnailSpec
传递给ProcessedImageField
name_details_photograph = ProcessedImageField(
upload_to=_get_name_details_photograph_upload_location,
null=True,
blank=True,
spec=ThumbnailSpec
)
您可以使用processor django
创建自定义imagekit
,然后在您的模型中使用它。 processor将检查图像的大小,然后返回编辑的图像。像这样的东西 -
class ConditionalResizer(object):
min_size = None # minimum size to reduce in KB
def __init__(self, *args, min_size=1000, **kwargs):
super().__init__(self, *args, **kwargs) # code is for python > 3.0, modify for python < 3.0 as necessary
self.min_size = min_size
def process(self, image):
size = # code to get size of image
if size > self.min_size:
# process the image
image = # processed image
return image
然后在你的Form
中,添加处理器 -
from imagekit.forms import ProcessedImageField
from imagekit.processors import Adjust, ResizeToFill
class NameDetailsForm(forms.ModelForm):
def __init__(self, available_languages, language_preference, file_required, *args, **kwargs):
"""
available_languages should be a valid choices list
"""
super(NameDetailsForm, self).__init__(*args, **kwargs)
self.fields['language_code'] = forms.ChoiceField(choices=available_languages, initial=language_preference, label=_('Language'),)
#self.fields['name_details_photograph'] = forms.FileField(label=_('Photograph'), required=file_required)
self.fields['name_details_photograph'] = ProcessedImageField(label=_('Photograph'), required=file_required, spec_id='myapp:profile:name_details_photograph', options={'quality': 25}, processors=[Adjust(sharpness=1.1), ConditionalResize(min_size=1000)])
class Meta:
model = NameDetails
我还没有测试过这段代码,但应该可以解决你的问题。如果没有,请告诉我。
你可以在这里找到更多关于处理器的信息 - https://django-imagekit.readthedocs.org/en/latest/#processors