问题
I'm doing optimization and Google recommends Lossless compression to images, looking for a way to implement this in Django.
Here's the images they specified, I think for it to be done effectively it needs to implemented systemwide possibly using a middleware class wondering if anyone has done this before. Here's the link to google analytics for pagespeed https://developers.google.com/speed/pagespeed/insights/?url=www.kenyabuzz.com
Optimize images Properly formatting and compressing images can save many bytes of data. Optimize the following images to reduce their size by 627.3KiB (74% reduction).
Losslessly compressing http://www.kenyabuzz.com/media/uploads/clients/kenya_buzz_2.jpg could save 594.3KiB (92% reduction).
Losslessly compressing http://www.kenyabuzz.com/media/uploads/clients/new_tribe_2.jpg could save 25KiB (44% reduction).
Losslessly compressing http://www.kenyabuzz.com/…a/uploads/clients/EthiopianAirlines2.jpg could save 3KiB (22% reduction).
Losslessly compressing http://www.kenyabuzz.com/static/kb/images/Nightlife.Homepage.jpg could save 1.3KiB (2% reduction).
Losslessly compressing http://www.kenyabuzz.com/static/kb/img/social/blog.png could save 1.1KiB (43% reduction).
Losslessly compressing http://www.kenyabuzz.com/static/kb/img/social/twitter.png could save 969B (52% reduction).
Losslessly compressing http://www.kenyabuzz.com/…der-Board---Email-Signature--Neutral.jpg could save 920B (2% reduction).
Losslessly compressing http://www.kenyabuzz.com/static/kb/img/social/youtube.png could save 757B (31% reduction).
回答1:
Losslessly compressing http://www.kenyabuzz.com/media/uploads/clients/kenya_buzz_2.jpg could save 594.3KiB (92% reduction).
First of all, the information in the logs is rather misleading because it is impossible to compress images by 92% using a lossless format (except for some cases like single-colour images, basic geometric shapes like squares, etc). Read this answer and this answer for more info. Really, do read them, both are excellent answers.
Second, you can use lossy compression formats "without losing quality" – the differences are so subtle, human eye doesn't even notice.
So, I downloaded an image from the website you're optimizing from this link: http://www.kenyabuzz.com/media/uploads/clients/kenya_buzz_2.jpg
I opened my Python console and wrote this:
>>> from PIL import Image
>>> # Open the image
>>> im = Image.open("kenya_buzz_2.jpg")
>>> # Now save it
>>> im.save("kenya_buzz_compressed.jpg", format="JPEG", quality=70)
This created a new image on my disk. Below are both the images.
Original (655.3kB)
Compressed (22.4kB ~96% reduction @ quality=70)
You can play around with the quality
option. Like, value of 80
will give you a better quality image but with a little larger size.
Compressing images in Django
Since this is a pretty popular question, I've decided to add a sample code to compress images in Django.
This code works for Django >= 1.7.
from io import BytesIO
from PIL import Image
from django.core.files import File
def compress(image):
im = Image.open(image)
# create a BytesIO object
im_io = BytesIO()
# save image to BytesIO object
im.save(im_io, 'JPEG', quality=70)
# create a django-friendly Files object
new_image = File(im_io, name=image.name)
return new_image
And this is how you can use the above compress
function in your Django model (or anywhere):
# models.py
class MyModel(...):
image = models.ImageField(...)
def save(self, *args, **kwargs):
# call the compress function
new_image = compress(self.image)
# set self.image to new_image
self.image = new_image
# save
super().save(*args, **kwargs)
That is basically it. This is fairly basic code. You can improve the code by compressing the image only when the image changes, not every time the model is saved.
回答2:
You should try Django Easy Thumbnails app, it has some options to add a postprocessing to optimize uploaded images : PostProcessor documentation
I use it in production on several projects. It works well, image size is definitely smaller and page loading much more faster.
回答3:
I have no experience with it, however, picopt looks comprehensive. It relies extensively on external tools to perform the optimisation, so it might be difficult to set up in constrained or hosted server environments.
Other than that, try googling "python image optimization". There are a few other links that suggest that a PIL based solution might be possible, for example:
- How to reduce the image file size using PIL
- Image Optimization (Google App Engine with Python)
来源:https://stackoverflow.com/questions/33077804/losslessly-compressing-images-on-django