I need to process large image jpeg files that do not contain thumbnails. I want to create thumbnails and insert into their Exif file, so that I can decide what processing is necessary later on.
On the PIL documentation https://pillow.readthedocs.io/en/3.1.x/reference/Image.html It says:
Image.thumbnail(size, resample=3)
Make this image into a thumbnail. This method modifies the image to contain a thumbnail version of itself, ...
These two sentences are contradictory: is the image now a thumbnail or the image now has an embedded thumbnail? It seems to be the former.
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I am coding a python script which uses Pillow to create images.
In my code I import a jpeg background and another jpeg image which I'll combine with draw.rounded_rectangle() and draw.text().
Problem is when I save the image directly to a jpeg file, the colors are very different from the png image. It's like the jpeg image has a greyscale filter applied.
Here's my code to save the images :
background.save('fin2.jpg', format="jpeg", quality=100, subsampling=0)
background.save('fin2.png', format="png")
os.system('sips -s format jpeg fin2.png --out ' + 'fin3.jpg')
As you can notice I use Apple's sips (scriptable image processing system) to convert the png to jpeg and the output is fine.
Here are the output images :
fin2.jpg
fin2.png
fin3.png
Any idea how to fix this in the code ?
(I am unable to upload the pictures directly to stackoverflow atm this is why I use external links)
I have some photos taken by UAV, and I find that the view of some photos read by cv2.imread and plt.imread are different, one of them is upside down (180° rotation), but most photos are the same.
Why?
Unlike matplotlib (PIL), opencv takes EXIF information into account by default, see documentation:
If EXIF information is embedded in the image file, the EXIF
orientation will be taken into account and thus the image will be
rotated accordingly except if the flags IMREAD_IGNORE_ORIENTATION or
IMREAD_UNCHANGED are passed.
(to achieve the same with PIL, use exif_transpose)
Its been asked a lot of times how to resize an image and keep the existing exif data. I'm able to do that easily with PIL:
from PIL import Image
im = Image.open("image.jpeg")
exif = im.info['exif']
# process the image, for example resize:
im_resized = im.resize((1920, 1080), resample=PIL.Image.LANCZOS)
im_resized.save("resized.jpeg", quality=70, exif=exif)
I was wondering is there a way to keep the XMP metadata from the original image? There's a lot of GPS data in the XMP which I would love to keep in the resized version.
Not even the successor Pillow can read XMP (and IPTC). Also you're not really keeping anything - you create a whole new file and add a copy of the other EXIF data (including now potentially invalid information like width/height).
JFIF files aren't black magic - their file format can be parsed rather easily; XMP is most likely found in an APP1 segment (just like EXIF). In rare cases it spans over multiple segments. You could first use PIL/Pillow to create your file and then modify it - inserting additional segments is trivial and needs no additional work.
I have a BMP image and I want to extract a small portion of it and save it as a new BMP image file.
I was able to load image and read it however I was not able to extract the small portion of BMP image as I am new to manipulating BMP image with python and also it not same as reading text file.
Things I have to do is
load image.
extract small portion of image.
eg. I have to extract 40X40 pixel image from 900X900 image file
then save extracted image as new file. eg new.bmp
I am trying to do this for last 3 days also I have searched a lot in the net but got solution which uses Pillow library however I need it to do this without using any external module of Python. Stackoverflow is my last hope I need some guidance from a expert people present here, please provide my some guidance.
I am working in a mobile application that allows users to upload images. I process these images using a django backend.
I want to save resized image in server.
I create thumbnails of the image using PIL, but all exif data of the image is lost. I want to preserve the exif data in the resized image.
I am trying to use the gexiv2 library to copy the exif data of the original image and save it to the resized image:
exif = GExiv2.Metadata(file_path)
To presrve exif data, I save the resized image to the disk and gexiv2 uses this file path:
# exif of orginal image
exif = GExiv2.Metadata(file_path)
# exif of resized image
newExif = GExiv2.Metadata('img/512_c')
# save all exif data of orinal image to resized
for tag in exif.get_exif_tags():
newExif[tag] = exif[tag]
# edit exif data - size
newExif['Exif.Photo.PixelXDimension'] = str(im.size[0])
newExif['Exif.Photo.PixelYDimension'] = str(im.size[1]).
But my issue is, django gives me the client uploaded images either as a file path
or as a buffer.
When I get the file path, I have no issue to get the exif data of the original image using gexiv2.
When I get an image buffer, I can't directly get the exif data using gexiv2, since gexiv2 needs the file path parameter to get the exif, so I want to save the image buffer to disk temporarily.
What is the best method to save the image buffer to disk?
Finally I got the solution,
https://stackoverflow.com/a/11813684/658976
This confirms all images uploaded to server had file path (no buffered images).