I'm trying to encode a string into a DataMatrix using the hubarcode package. I would like to convert the en object to a PIL image so that I can use it further downstream.
If I read this function correctly, get_pilimage() is defined and I figured en.get_pilimage() should work, but of course doesn't. When I examine dir(en), get_pilimage is not defined (only get_imagedata and get_ascii). Is this because get_pilimage is not defined in __init__.py for DataMatrixRenderer?
This is the code I use
# pip install huBarcode
from hubarcode.datamatrix import DataMatrixEncoder
en = DataMatrixEncoder("M103")
en.get_imagedata() # result below
'\x89PNG\r\n\x1a\n\x00\x00\x00\rIHDR\x00\x00\x00F\x00\x00\x00F\x08\x00\x00\x00\x00TE\xbdX\x00\x00\x00\x9aIDATx\x9c\xed\x98\xc1\n\xc00\x08Cu\xf4\xff\x7f\xb9\xbbM\x16t\xb3\xc3CV\xcc\xc9ayh\x10i\xa7S*t\x94P\x1a\xd3\x98O\x1a\x16\xaa\x88\xc8\\\x89\xca\xab\xd9\x12\xa3\xe6\x95^Q\xe8d\xe83WS\\\x98\x01\xdf\x9e\xa7\x90\xed)^\x13Zl\xfe=\x9b\xddS\x9c\x16Z\x0c\x82\xe5\x01Qy5[b\xdcE\xe1me\xb9G\x96\xad\xacfK\xcc\xcb\x14\x87\xea]\x9cV|\xa3\xc0\x83W\xc2;\xc7\xd5\x14\x17\xc6\xb5\x18\x94x\x00r5\xc5\x85\xc9,\x8a\x84\xf7\\Mqa\xb4\xffQ4\xe6\xf7\x98\x13\xd1\xa9\x1f\x8e\x11\x9b\xc5\x81\x00\x00\x00\x00IEND\xaeB`\x82'
en.get_pilimage() # doesn't work, but I imagine result would be an image
Alternatively, is there another way of converting the result of en.get_imagedata() to png?
I ended up grabbing the raw image string, converting it to BytesIO object and passing the stream to PIL.Image.
import io
import PIL
from hubarcode.datamatrix import DataMatrixEncoder
dm = DataMatrixEncoder("M103")
dm_in_bytes = io.BytesIO(dm.get_imagedata())
img = PIL.Image.open(dm_in_bytes)
img.show()
Related
How can I open an image in pillow that I already opened using open('image','r')
I have an image that I opened using the open() function, but i want to use the image in pillow.
Actually, I encoded it using base64, then the program decodes it,then gives you a variable that is in the same format as the open() function has. Then I just want to show the image, if there is another way to show the image without saving it, please let me know.
Here is the code that I use to decode it, just so you know:
import base64
image_64_encode = 'this-string-is-big-so'
image_64_decode = base64.decodebytes(image_64_encode)
I just want to show the image.
Like this:
from base64 import b64decode
from PIL import Image
import io
# Load useful-looking base64 string of a PNG
b64 = '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'
# Open it with PIL - no disk access required
im = Image.open(io.BytesIO(b64decode(b64)))
print(im)
# prints: <PIL.PngImagePlugin.PngImageFile image mode=RGB size=64x64 at 0x7FF3B90251C0>
The clue is here in the Pillow documentation where it says:
fp – A filename (string), pathlib.Path object or a file object.
I'm trying to send json dict that should contain Pillow image as one of his fields, to do that I have to convert the image to string.
I tried to use pillow function:
image.toString()
but still got it as bytes, so I tried to encode it:
buff = BytesIO()
image.save(buff, format="JPEG")
img_str = base64.b64encode(buff.getvalue())
but still got it as bytes.
How can I convert Pillow images to format that can be saved in json file?
In the comments, Mark Setchell suggests calling .decode('ascii') on the result of your b64encode call. I agree that this will work, but I think base64encoding to begin with is introducing an unnecessary extra step that complicates your code.*
Instead, I suggest directly decoding the bytes returned by image.tostring. The only complication is that the bytes object can contain values larger than 128, so you can't decode it with ascii. Try using an encoding that can handle values up to 256, such as latin1.
from PIL import Image
import json
#create sample file. You don't have to do this in your real code.
img = Image.new("RGB", (10,10), "red")
#decode.
s = img.tobytes().decode("latin1")
#serialize.
with open("outputfile.json", "w") as file:
json.dump(s, file)
(*but, to my surprise, the resulting json file is still smaller than one made with a latin1 encoding, at least for my sample file. Use your own judgement to determine whether file size or program clarity is more important.)
I use the following to exchange Pillow images via json.
import json
from PIL import Image
import numpy as np
filename = "filename.jpeg"
image = Image.open(filename)
json_data = json.dumps(np.array(image).tolist())
new_image = Image.fromarray(np.array(json.loads(json_data), dtype='uint8'))
I am calling a imageServer and getting an x-genericbytedata-octet-stream in response. So i was wondering if i can convert it into some format which is manageable like ndarray.
This is what i am getting in response
ÿ Ç÷®£®¥Xøan Ð5£ï~KTþ$¹M«_ ü³þœÿ ˆk¡çÆHyAÏbG§ø
A«÷g~ŒieÞÁn¦=Ÿüú
i.¿†ö#µ2lí~¤ŸðjLóÉ&,X.ó¿:ÿ
õ¿*ìüTv蚃zXÌñÓ\•Ÿû[X’ĩ쀀0wOóÀ®ŸÆm·Ãú‘ÿ
§?¡¬ª|f‘Øñx^àÁW\móVà„³Éä˜Óý’3úÔpë¬P2€2pGõö?Z’êàÛDÊ=jȶ¤3ÝÝÜb”vägõ¯wÑß
z‹8óøŠðy®¤U8³ÄIüÇå^ù§åt]0cìq?೫иQñÔkVØ·fàú±ÿ
I want to convert it into an ndarray so that I could use it in opencv.
Thanks
You can use Pillow and StringIO to convert it to a jpeg image.
from PIL import Image
import StringIO
img = Image.open(StringIO.StringIO(image_data))
print (img.size)
1) I have an image that I converted to a string. It looks like this:
bytesimage = b'iVBORw0KGgoAAAANSUhEUgA.... etc etc
2) I can convert it to an 'bytesimage.png' using:
def StringToImage(self, stringname, imageoutput):
imgdata = base64.b64decode(stringname)
imagename = imageoutput
with open(imagename, 'wb') as f:
f.write(imgdata)
3) But then I want to save that image or string to memory to use in wxpython interface without needing to save the file. I have seen several related questions where the solution is using io.BytesIO, but I just cant connect the steps and both wxpython or PIL don't seem to read the bytes properly.
So to clarify:
I have a image stored in a string DONE
I can convert that to an image (if needed) but dont want to save it DONE
I need that string OR image (whichever is best) saved to memory NEEDS SOLVING
Then I want to be able to use that image in wxpython (I can open in PIL first if required)
Any help would be fantastic!
StringIO seems to be the way to go. It allows you to pass the decoded string directly to PIL.
import base64
from PIL import Image
import StringIO
# Banana emoji (JPG) as a b64 string.
b64_img_str = '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'
# Decode back to the original bytes
new_img_str = base64.b64decode(b64_img_str)
# Use StringIO to provide an in-memory buffer that we can use
# to pass the image string to PIL.
sio = StringIO.StringIO(new_img_str)
img = Image.open(sio)
# Display the image
img.show()
I have a SVG file containing data of a QR-code. How do I use it to print QR code on the screen using python?
what ever you want to create in the qr code just do
first download pyqrcode, pyzbar, pillow with pip like so
$ pip install PyQRCode pyzbar pillow
import the lib
import pyqrcode
from pyzbar.pyzbar import decode
from PIL import Image
then you instantiate the object with a passing data of what you want to encode in the create function
data = pyqrcode.create('hi')
#the data format is import
data.png('qrcode_img.png', scale=2)
#qr code image is created
decoded = decode(Image.open('qrcode_img.png'))
#your output console print contains a list of info encoded in your qrcode
print(decoded)
thanks #OriginalGoldman