(This solution is from the author himself. I have just moved it here.)
SOLUTION:
# This portion is part of my test code
byteImgIO = io.BytesIO()
byteImg = Image.open("some/location/to/a/file/in/my/directories.png")
byteImg.save(byteImgIO, "PNG")
byteImgIO.seek(0)
byteImg = byteImgIO.read()
# Non test code
dataBytesIO = io.BytesIO(byteImg)
Image.open(dataBytesIO)
The problem was with the way that Image.tobytes()was returning the byte object. It appeared to be invalid data and the 'encoding' couldn't be anything other than raw which still appeared to output wrong data since almost every byte appeared in the format \xff\. However, saving the bytes via BytesIO and using the .read() function to read the entire image gave the correct bytes that when needed later could actually be used.
(This solution is from the author himself. I have just moved it here.)
SOLUTION:
# This portion is part of my test code
byteImgIO = io.BytesIO()
byteImg = Image.open("some/location/to/a/file/in/my/directories.png")
byteImg.save(byteImgIO, "PNG")
byteImgIO.seek(0)
byteImg = byteImgIO.read()
# Non test code
dataBytesIO = io.BytesIO(byteImg)
Image.open(dataBytesIO)
The problem was with the way that Image.tobytes()was returning the byte object. It appeared to be invalid data and the 'encoding' couldn't be anything other than raw which still appeared to output wrong data since almost every byte appeared in the format \xff\. However, saving the bytes via BytesIO and using the .read() function to read the entire image gave the correct bytes that when needed later could actually be used.
On some cases the same error happens when you are dealing with a Raw Image file such CR2. Example: http://www.rawsamples.ch/raws/canon/g10/RAW_CANON_G10.CR2
when you try to run:
byteImg = Image.open("RAW_CANON_G10.CR2")
You will get this error:
OSError: cannot identify image file 'RAW_CANON_G10.CR2'
So you need to convert the image using rawkit first, here is an example how to do it:
from io import BytesIO
from PIL import Image, ImageFile
import numpy
from rawkit import raw
def convert_cr2_to_jpg(raw_image):
raw_image_process = raw.Raw(raw_image)
buffered_image = numpy.array(raw_image_process.to_buffer())
if raw_image_process.metadata.orientation == 0:
jpg_image_height = raw_image_process.metadata.height
jpg_image_width = raw_image_process.metadata.width
else:
jpg_image_height = raw_image_process.metadata.width
jpg_image_width = raw_image_process.metadata.height
jpg_image = Image.frombytes('RGB', (jpg_image_width, jpg_image_height), buffered_image)
return jpg_image
byteImg = convert_cr2_to_jpg("RAW_CANON_G10.CR2")
Code credit if for mateusz-michalik on GitHub (https://github.com/mateusz-michalik/cr2-to-jpg/blob/master/cr2-to-jpg.py)
python - BytesIO object to image - Stack Overflow
cannot identify image file <_io.BytesIO object
pillow: image to bytes to image
Deploy model: io.BytesIO Error when reading an image via POST resized with JS ✅ - Part 1 (2019) - fast.ai Course Forums
My function accepts bytes to internaly opens them as a PIL.Image object. The function works as expected when bytes are passed to it. But I would like to write a couple of tests to it. So I need to generate images, turn them into bytes and pass them to my function so that it can turn it again back into an image.
Basically I wanna do something like this:
from PIL import Image from io import BytesIO orig = Image.new(mode='RGBA', size=(240, 60)) image_bytes = orig.tobytes() stream = BytesIO(image_bytes) new = Image.open(stream)
But what I don't understand is that it is not working and I get this Traceback:
Traceback (most recent call last):
File "<input>", line 1, in <module>
File "/Users/crane/PycharmProjects/my_project/venv/lib/python3.9/site-packages/PIL/Image.py", line 3030, in open
raise UnidentifiedImageError(
PIL.UnidentifiedImageError: cannot identify image file <_io.BytesIO object at 0x104f86950>It's a file-like object. Read them:
>>> b = io.BytesIO(b'hello')
>>> b.read()
b'hello'
If the data coming in from body is too large to read into memory, you'll want to refactor your code and use zlib.decompressobj instead of zlib.decompress.
In case you write into the object first, make sure to reset the stream before reading:
>>> b = io.BytesIO()
>>> image = PIL.Image.open(path_to_image)
>>> image.save(b, format='PNG')
>>> b.seek(0)
>>> b.read()
b'\x89PNG\r\n\x1a\n\x00\x00\x00\rIHDR\x00\x00\x06\xcf\x00\x00\x03W\x08\x02\x00'
or directly get the data with getvalue
>>> b.getvalue()
b'\x89PNG\r\n\x1a\n\x00\x00\x00\rIHDR\x00\x00\x06\xcf\x00\x00\x03W\x08\x02\x00'