Converting jpeg string to PIL image object
Question:
I’ve been handed a list of files from the backend of an application that are supposed to be jpeg files. However for the life of me I haven’t been able to convert them into PIL image objects. When I call
str(curimg)
I get back:
<type 'str'>
. I have tried using open(), .read, io.BytesIO(img.read() and also doing nothing to it, but it keeps seeing it as a string. When i print the string, I get unrecognizable characters. Does anyone know how to tell python how to intepret this string as a jpeg and convert it into a pill image where I can call .size and np.array on?
Answers:
You should be able to pass a StringIO object to PIL and open it that way.
ie:
from PIL import Image
import StringIO
tempBuff = StringIO.StringIO()
tempBuff.write(curimg)
tempBuff.seek(0) #need to jump back to the beginning before handing it off to PIL
Image.open(tempBuff)
from PIL import Image
import io
Image.open(io.BytesIO(image))
Note:
If image is on the web; you need to download it first.
import requests
image = requests.get(image_url).content #download image from web
And then pass it to io module.
io.BytesIO(image)
If image is in your hd; you can open directly with PIL.
Image.open('image_file.jpg') #image in your HD
For me, none of the solutions above worked.
I finally managed to read the string properly like this:
from PIL import Image
img = Image.frombytes('RGB', (640, 480), img_str, 'raw')
To test it, you can do something like
image = Image.open("some.png")
print(image.mode, image.size) # OUT: 'RGB' (640, 480)
image = Image.frombytes('RGB', (640, 480), image.tobytes(), 'raw')
image.show()
@CEO (per this comment) I don’t know how what role SQL plays here, and I’m not exactly sure what you’re trying to achieve, but I recall I had some issues and this is what works for my case, hope it helps
frame = self._rawNode.display_frame.copy()
width = int(self.customLayout.geometry().width())
height = int(frame.shape[0] * (width / frame.shape[1]))
display_frame = cv2.cvtColor(cv2.resize(frame, (width, height)), cv2.COLOR_BGR2RGB)
qImg = QtGui.QImage(display_frame.data, width, height, 3 * width, QtGui.QImage.Format_RGB888)
self.pixmap = QtGui.QPixmap(qImg)
self.Imagelabel.setPixmap(self.pixmap)
I’ve been handed a list of files from the backend of an application that are supposed to be jpeg files. However for the life of me I haven’t been able to convert them into PIL image objects. When I call
str(curimg)
I get back:
<type 'str'>
. I have tried using open(), .read, io.BytesIO(img.read() and also doing nothing to it, but it keeps seeing it as a string. When i print the string, I get unrecognizable characters. Does anyone know how to tell python how to intepret this string as a jpeg and convert it into a pill image where I can call .size and np.array on?
You should be able to pass a StringIO object to PIL and open it that way.
ie:
from PIL import Image
import StringIO
tempBuff = StringIO.StringIO()
tempBuff.write(curimg)
tempBuff.seek(0) #need to jump back to the beginning before handing it off to PIL
Image.open(tempBuff)
from PIL import Image
import io
Image.open(io.BytesIO(image))
Note:
If image is on the web; you need to download it first.
import requests
image = requests.get(image_url).content #download image from web
And then pass it to io module.
io.BytesIO(image)
If image is in your hd; you can open directly with PIL.
Image.open('image_file.jpg') #image in your HD
For me, none of the solutions above worked.
I finally managed to read the string properly like this:
from PIL import Image
img = Image.frombytes('RGB', (640, 480), img_str, 'raw')
To test it, you can do something like
image = Image.open("some.png")
print(image.mode, image.size) # OUT: 'RGB' (640, 480)
image = Image.frombytes('RGB', (640, 480), image.tobytes(), 'raw')
image.show()
@CEO (per this comment) I don’t know how what role SQL plays here, and I’m not exactly sure what you’re trying to achieve, but I recall I had some issues and this is what works for my case, hope it helps
frame = self._rawNode.display_frame.copy()
width = int(self.customLayout.geometry().width())
height = int(frame.shape[0] * (width / frame.shape[1]))
display_frame = cv2.cvtColor(cv2.resize(frame, (width, height)), cv2.COLOR_BGR2RGB)
qImg = QtGui.QImage(display_frame.data, width, height, 3 * width, QtGui.QImage.Format_RGB888)
self.pixmap = QtGui.QPixmap(qImg)
self.Imagelabel.setPixmap(self.pixmap)