I am trying to decode a base64 string to an image object in python in google app engine. i
imported Image from PIL
from PIL import Image
and try to decode like this
image = Image.fromString('RGBA', (iWidth, iHeight), decodeString(imageEncodedString))
i get error saying type object 'Image' has no attribute 'fromString'
So how do i get around doing this :
send a base64 image to google app engine as request. Decode it on server. Do some transformations and encode it back to base64 and return as response.
Edit
As mentioned in comments first issue was a typo and second was that iWidth and iHeight were interpreted as string. so i changed my code to
image = Image.fromstring('RGB', (int(iWidth), int(iHeight)), decodestring(imageEncodedString))
But now i get the error
ValueError: not enough image data
Here is my base64 encoded image
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
I ended up doing this:
from PIL import Image
from cStringIO import StringIO
from base64 import decodestring
decoded_img_str = base64.decodestring(imageEncodedString)
imgfile = StringIO(decoded_img_str)
image = Image.open(imgfile)
Related
I have a string base64 image that need to convert so then I can read it as image to analyze with pytesseract:
import base64
import io
from PIL import Image
import pytesseract
import sys
base64_string = "data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8SEhEPERETFh....."
img_data = base64.b64decode(base64_string)
img = Image.open(io.BytesIO(img_data)) # <== ERROR LINE
text = pytesseract.image_to_string(img, config='--psm 6')
print(text)
gives the error:
Traceback (most recent call last):
File "D:\aa\xampp\htdocs\xbanca\aa.py", line 14, in <module>
img = Image.open(io.BytesIO(img_data))
File "D:\python3.10.10\lib\site-packages\PIL\Image.py", line 3283, in open
raise UnidentifiedImageError(msg)
PIL.UnidentifiedImageError: cannot identify image file <_io.BytesIO object at 0x000001A076F673D0>
I tried using numpy and request libraries but all have the same result.. and the base64 example image is working ok in any another converter.
That's a very common misunderstanding.
The string
base64_string = "data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8SEhEPERETFh....."
is not a Base64 string, but a DataURL
URLs prefixed with the data: scheme, allow content creators to embed small files inline in documents
that contains a Base64 string.
The Base64 string starts directly after 'base64,'. Therefore you need to cut off the 'data:image/jpeg;base64,' part.
e.g.:
b64 = base64_string.split(",")[1]
after that you can decode the data:
img_data = base64.b64decode(b64)
I modified the code from the question and used the base64 of the following small JPEG image which I base64 encoded on https://www.base64encode.org/:
and got the expected text output:
1 Answer
I have created an rest-api using fastapi, which takes a document (pdf) as input and return a jpeg image of it, I am using a library called docx2pdf for conversion.
from docx2pdf import convert_to
from fastapi import FastAPI, File, UploadFile
app = FastAPI()
#app.post("/file/convert")
async def convert(doc: UploadFile = File(...)):
if doc.filename.endswith(".pdf"):
# convert pdf to image
with tempfile.TemporaryDirectory() as path:
doc_results = convert_from_bytes(
doc.file.read(), output_folder=path, dpi=350, thread_count=4
)
print(doc_results)
return doc_results if doc_results else None
This is the output of doc_results, basically a list of PIL image files
[<PIL.PpmImagePlugin.PpmImageFile image mode=RGB size=2975x3850 at 0x7F5AB4C9F9D0>, <PIL.PpmImagePlugin.PpmImageFile image mode=RGB size=2975x3850 at 0x7F5AB4C9FB80>]
If I run my current code, it is returning the doc_results as json output and I am not being able to load those images in another API.
How can I return image files without saving them to local storage? So, I can make a request to this api and get the response and work on the image directly.
Also, if you know any improvements I can make in the above code to speed up is also helpful.
Any help is appreciated.
You can not return that unless you convert it to something universal.
<PIL.PpmImagePlugin.PpmImageFile image mode=RGB size=2975x3850 at 0x7F5AB4C9F9D0
This basically says, You have an object of PIL at your memory here is the location for it.
The best thing you can do is, convert them to bytes and return an array of bytes.
You can create a function that takes a PIL image and returns the byte value from it.
import io
def get_bytes_value(image):
img_byte_arr = io.BytesIO()
image.save(img_byte_arr, format='JPEG')
return img_byte_arr.getvalue()
Then you can use this function when returning the response.
return [get_bytes_value(image) for image in doc_results] if doc_results else None
I have an image buffer returned from a C SDK,
I can write to a local image and read it as base64 string but this requires an extra step.
How can I turn the byte array into a base64 string directly so that I can send it in a network request?
image = (ctypes.c_ubyte*s.dwDataLen)()
ctypes.memmove(image, s.pBuffer, s.dwDataLen)
I tried using base64.encodestring but got this error
TypeError: expected single byte elements, not '<B' from c_ubyte_Array_8716
you can use base64 module
import base64
with open("yourfile.ext", "rb") as image_file:
encoded_string = base64.b64encode(image_file.read())
the case is similar with Encoding an image file with base64
Try this:
import ctypes
import base64
image = (ctypes.c_ubyte * s.dwDataLen)()
ctypes.memmove(image, s.pBuffer, s.dwDataLen)
# Convert the image to an array of bytes
buffer = bytearray(image)
encoded = base64.encodebytes(buffer)
If you are using base64.b64encode, you should be able to pass image to it:
import ctypes
import base64
image = (ctypes.c_ubyte * s.dwDataLen)()
ctypes.memmove(image, s.pBuffer, s.dwDataLen)
encoded = base64.b64encode(image)
The main problem is that, from what I could find, there is no easy/documented way to load an image from base64 encoded image. I use the following code to encode the image to base64 (so that I wouldn't need to include all the images with the source, nor should I create temp files and delete them at exit). The image format I use is .png which is supported in Gtk3+. (from GdkPixbuf.Pixbuf.get_formats() i have ['png'] in the results. I am really confused on how to use Gtk3+ for this purpose.
import base64
image_name = 'image.png'
image_loc = 'd:\\Home\\' + image_name
with open(image_loc, 'rb') as image_file:
encoded_string = base64.b64encode(image_file.read())
print(encoded_string)
I want to use the output for example:
base64_data="""
iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAABsklEQVRYhe2XIVMCQRSAv2AwGAgEAuFmJBiMFmcMBH8AgUAgXHDMFww2gtFA
IBicsRgNBgLBcS7yE4gEIsFgIBDO8Pa8x7FwB7cnxTfzyr637327b+/dLiTSBIbAHIgydAGMgAscyUOOpDZdAu2iyZsq4BcwAHpb9NE1xFAl
P8s558klRFzzwQ5zejgsRxygVxBgbwiXAHtBuAaIIa7KBAgyACJgBlTKAqgBH8A0pWmIXKXYB2CbdFRM/xAA3qEBKipm8A9wCIAa8q/oUOJn
6FTKAqgA10gZWkD9rwAugRfWm1IEfCKlKQ2ghdwrstp0vwyAuiX5HGnRMwtE1zVAfLPS6hubZ7HNgaorgFPkppxOEvcBG0AE3LoCuGZ1Zb7R
hrGfqLGJ8h24ArhTcaYZvqHyDV0BtFWcGbLlHrJygCM1Nla+r5Cc0OcCAA3sNfaN3dtgDwDeSO5xzQIQthvRNoAlcA7yGFmowTFSmzz6jmwv
rL6wYp0Yv7HFttKMusC3xSmP3qs4/ZxzJiTn41c85N032mEHQqQBHacWs+mFvTSQa8ldSxW4Qb7zEDntAabmWn4A0clKl9nNvDwAAAAASUVO
RK5CYII
"""
And render the image from base64.
As a side note, on tkinter this was easily done with:
tkinter.PhotoImage(data=base64_data)
And then display the image where you needed it.
Getting back to Gtk3+, I didn't find a method of loading the image from base64. Even with GdkPixbuf.Pixbuf.new_from_data, I get a broken image. I have also tried with Gio.MemoryInputStream.new_from_bytes, but it says that the format of the image isn't supported.
Your data is base64 encoded, in order for Gtk3+ to use it, you must first decode it:
import base64
raw_data = base64.b64decode(data)
Then you were right with GdkPixbuf.Pixbuf.new_from_data:
(I cannot test, but I think this may work)
import base64
raw_data = base64.b64decode(data)
image = GdkPixbuf.Pixbuf.new_from_data(raw_data)
image_show_2.set_from_pixbuf(image)
Else you can do as you showed:
import base64
raw_data = base64.b64decode(data)
byting = GLib.Bytes(raw_data)
inputing = Gio.MemoryInputStream.new_from_bytes(byting)
image = GdkPixbuf.Pixbuf.new_from_data(inputing)
image_show_2.set_from_pixbuf(image)
I am looking to create base64 inline encoded data of images for display in a table using canvases. Python generates and creates the web page dynamically. As it stands python uses the Image module to create thumbnails. After all of the thumbnails are created Python then generates base64 data of each thumbnail and puts the b64 data into hidden spans on the user's webpage. A user then clicks check marks by each thumbnail relative to their interest. They then create a pdf file containing their selected images by clicking a generate pdf button. The JavaScript using jsPDF generates the hidden span b64 data to create the image files in the pdf file and then ultimately the pdf file.
I am looking to hopefully shave down Python script execution time and minimize some disk I/O operations by generating the base64 thumbnail data in memory while the script executes.
Here is an example of what I would like to accomplish.
import os, sys
import Image
size = 128, 128
im = Image.open("/original/image/1.jpeg")
im.thumbnail(size)
thumb = base64.b64encode(im)
This doesn't work sadly, get a TypeErorr -
TypeError: must be string or buffer, not instance
Any thoughts on how to accomplish this?
You first need to save the image again in JPEG format; using the im.tostring() method would otherwise return raw image data that no browser would recognize:
from io import BytesIO
output = BytesIO()
im.save(output, format='JPEG')
im_data = output.getvalue()
This you can then encode to base64:
image_data = base64.b64encode(im_data)
if not isinstance(image_data, str):
# Python 3, decode from bytes to string
image_data = image_data.decode()
data_url = 'data:image/jpg;base64,' + image_data
Here is one I made with this method:
data:image/jpg;base64,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
Unfortunately the Markdown parser doesn't let me use this as an actual image, but you can see it in action in a snippet instead:
<img src="data:image/jpg;base64,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"/>
In Python 3, you may need to use BytesIO:
from io import BytesIO
...
outputBuffer = BytesIO()
bg.save(outputBuffer, format='JPEG')
bgBase64Data = outputBuffer.getvalue()
# http://stackoverflow.com/q/16748083/2603230
return 'data:image/jpeg;base64,' + base64.b64encode(bgBase64Data).decode()
thumb = base64.b64encode(im.tostring())
I think would work
I use PNG when I save to the buffer. With JPEG the numpy arrays are a bit different.
import base64
import io
import numpy as np
from PIL import Image
image_path = 'dog.jpg'
img2 = np.array(Image.open(image_path))
# Numpy -> b64
buffered = io.BytesIO()
Image.fromarray(img2).save(buffered, format="PNG")
b64image = base64.b64encode(buffered.getvalue())
# b64 -> Numpy
img = np.array(Image.open(io.BytesIO(base64.b64decode(b64image))))
print(img.shape)
np.testing.assert_almost_equal(img, img2)
Note that it will be slower.