I'm trying to use Python and PIL to add some text to an image. I am failing on saving the resultant image as JPG.
I've based it on the example given on
https://pillow.readthedocs.io/en/5.2.x/reference/ImageDraw.html#example-draw-partial-opacity-text
from PIL import Image, ImageDraw, ImageFont
def example():
base = Image.open('test.jpg').convert('RGBA')
txt = Image.new('RGBA', base.size, (255,255,255,0))
fnt = ImageFont.truetype('/Library/Fonts/Chalkduster.ttf', 40)
drw = ImageDraw.Draw(txt)
drw.text((10,10), "HELLO", font=fnt, fill=(255,0,0,128))
result= Image.alpha_composite(base, txt)
result.convert('RGB')
print ('mode after convert = %s'%result.mode)
result.save('test1.jpg','JPEG')
example()
Running this prints mode after convert = RGBA
which is then followed by
Traceback (most recent call last):
File "/Users/carl/miniconda3/envs/env0/lib/python3.7/site-packages/PIL/JpegImagePlugin.py", line 620, in _save
rawmode = RAWMODE[im.mode]
KeyError: 'RGBA'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "example.py", line 14, in <module>
example()
File "example.py", line 12, in example
result.save('test1.jpg','JPEG')
File "/Users/carl/miniconda3/envs/env0/lib/python3.7/site-packages/PIL/Image.py", line 2007, in save
save_handler(self, fp, filename)
File "/Users/carl/miniconda3/envs/env0/lib/python3.7/site-packages/PIL/JpegImagePlugin.py", line 622, in _save
raise IOError("cannot write mode %s as JPEG" % im.mode)
OSError: cannot write mode RGBA as JPEG
The image is still RGBA after the convert to RGB function.
What am I doing wrong?
You missed to assign the output to result. Change this code below
old:
result.convert('RGB')
new:
result = result.convert('RGB')
Related
I'm trying to convert a .npy image to a nii.gz image, I'm having various problems even though I'm following instructions correctly.
This is the code I'm using:
import numpy as np
import nibabel as nib
file_dir = "D:/teste volumes slicer/"
fileNPY1 = "teste01.npy"
img_array1 = np.load(file_dir + fileNPY1)
print(img_array1.shape)
print(img_array1.dtype)
normal_array = "D:/teste volumes slicer/teste01.npy"
print ("done")
nifti_file = nib.Nifti1Image(normal_array, np.eye(4))
About the image: (332, 360, 360) float64 (this is what we got when we print the shape and dtype)
https://ibb.co/mRyTrw7 - image that shows the error and the image's information
The error message:
Traceback (most recent call last):
File "d:\teste volumes slicer\conversor.py", line 16, in <module>
nifti_file = nib.Nifti1Image(normal_array, np.eye(4))
File "C:\Python39\lib\site-packages\nibabel\nifti1.py", line 1756, in __init__
super(Nifti1Pair, self).__init__(dataobj,
File "C:\Python39\lib\site-packages\nibabel\analyze.py", line 918, in __init__
super(AnalyzeImage, self).__init__(
File "C:\Python39\lib\site-packages\nibabel\spatialimages.py", line 469, in __init__
self.update_header()
File "C:\Python39\lib\site-packages\nibabel\nifti1.py", line 2032, in update_header
super(Nifti1Image, self).update_header()
File "C:\Python39\lib\site-packages\nibabel\nifti1.py", line 1795, in update_header
super(Nifti1Pair, self).update_header()
File "C:\Python39\lib\site-packages\nibabel\spatialimages.py", line 491, in update_header
shape = self._dataobj.shape
AttributeError: 'str' object has no attribute 'shape'
The problem with your code is instead of passing your Numpy-array (your image), you are passing the path of the image to the Nifti1Image function.
This is the correct way to convert it:
import numpy as np
import nibabel as nib
file_dir = "D:/teste volumes slicer/"
fileNPY1 = "teste01.npy"
img_array1 = np.load(file_dir + fileNPY1)
nifti_file = nib.Nifti1Image(img_array1 , np.eye(4))
So I am trying to create a Python Program to detect similar details in two images using Python's OpenCV. I have the two images and they are in my current directory, and they exist (see the code in lines 6-17). But I am getting the following error when I try running it.
import numpy as np
import matplotlib.pyplot as plt
import cv2
import os
path1 = "WIN_20171207_13_51_33_Pro.jpg"
path2 = "WIN_20171207_13_51_43_Pro.jpg"
if os.path.isfile(path1):
img1 = cv2.imread('WIN_20171207_13_51_33_Pro.jpeg',0)
else:
print ("The file " + path1 + " does not exist.")
if os.path.isfile(path2):
img2 = cv2.imread('WIN_20171207_13_51_43_Pro.jpeg',0)
else:
print ("The file " + path2 + " does not exist.")
orb = cv2.ORB_create()
kpl1, des1 = orb.detectAndCompute(img1,None)
kpl2, des2 = orb.detectAndCompute(img2,None)
bf = cv2.BFMatcher(cv2.NORM_HAMMING, crossCheck=True)
matches = bf.match(des1, des2)
matches = sorted(matches, key=lambda x:x.distance)
img3 = cv2.drawMatches(img1,kpl1,img2,kpl2,matches[:10],None, flags=2)
plt.imshow (img3)
plt.show()
Here is the error I keep on getting...
Traceback (most recent call last):
File "C:\Users\jweir\source\repos\BruteForceFeatureDetection\BruteForceFeatureDetection\BruteForceFeatureDetection.py", line 31, in <module>
plt.imshow (img3)
File "C:\Program Files\Python36\lib\site-packages\matplotlib\pyplot.py", line 3080, in imshow
**kwargs)
File "C:\Program Files\Python36\lib\site-packages\matplotlib\__init__.py", line 1710, in inner
return func(ax, *args, **kwargs)
File "C:\Program Files\Python36\lib\site-packages\matplotlib\axes\_axes.py", line 5194, in imshow
im.set_data(X)
File "C:\Program Files\Python36\lib\site-packages\matplotlib\image.py", line 600, in set_data
raise TypeError("Image data cannot be converted to float")
TypeError: Image data cannot be converted to float
Can someone please explpain to me why I am getting this error, what it means, and how to fix it.
You're not actually reading in an image.
Check out what happens if you try to display None in matplotlib:
plt.imshow(None)
Traceback (most recent call last):
File ".../example.py", line 16, in <module>
plt.imshow(None)
File ".../matplotlib/pyplot.py", line 3157, in imshow
**kwargs)
File ".../matplotlib/__init__.py", line 1898, in inner
return func(ax, *args, **kwargs)
File ".../matplotlib/axes/_axes.py", line 5124, in imshow
im.set_data(X)
File ".../matplotlib/image.py", line 596, in set_data
raise TypeError("Image data can not convert to float")
TypeError: Image data can not convert to float
You're reading WIN_20171207_13_51_33_Pro.jpeg but you're checking if WIN_20171207_13_51_33_Pro.jpg exists. Note the different extensions. Why do you have the filename written twice (and differently)? Just simply write:
if os.path.isfile(path1):
img1 = cv2.imread(path1, 0)
else:
print ("The file " + path1 + " does not exist.")
Note that even if you put a bogus file into cv2.imread(), the resulting image will just be None, which doesn't error in any of the subsequent function calls until matplotlib tries to draw it. If you print(img1) after reading, you'll see it's None and not reading properly.
I do not know whether it is relevant with your case but since we assigning the file path in string type like cv2.imread("filepathHere"), if arguments like "\b" or "\r" occurs in the file path it causes program to pop an error such as this.
When I encountered such an error before, I changed the file name from file / brick.png to ibrick.png and the problem was resolved.
I am trying to display an image in python and I am not 100% sure why imshow() is throwing an error.
The error trace is :
Traceback (most recent call last):
File "knn.py", line 65, in <module>
digit_axes.imshow(paths[0],cmap = cm.Greys_r)
File "/usr/local/lib/python2.7/site-packages/matplotlib/__init__.py", line 1892, in inner
return func(ax, *args, **kwargs)
File "/usr/local/lib/python2.7/site-packages/matplotlib/axes/_axes.py", line 5118, in imshow
im.set_data(X)
File "/usr/local/lib/python2.7/site-packages/matplotlib/image.py", line 545, in set_data
raise TypeError("Image data can not convert to float")
TypeError: Image data can not convert to float
The code is as follows:
paths = []
paths.append('./images/image1.png')
digit_axes = main_figure.add_subplot(211)
digit_axes.get_xaxis().set_visible(False)
digit_axes.get_yaxis().set_visible(False)
digit_axes.set_title('Image')
digit_axes.imshow(paths[0],cmap = cm.Greys_r)
I think I found the solution by using imread()
img = imread(paths[0])
digit_axes.imshow(img,cmap = cm.Greys_r)
I use the Pillow lib to create thumbnails. I have to create a lot of them, actually more than 10.000
The program works fine, but after processing round about 1.500, I get the following error:
Traceback (most recent call last):
File "thumb.py", line 15, in <module>
im = Image.open('/Users/Marcel/images/07032017/' + infile)
File "/Users/Marcel/product-/PIL/Image.py", line 2339, in open
im = _open_core(fp, filename, prefix)
File "/Users/Marcel/product-/PIL/Image.py", line 2329, in _open_core
im = factory(fp, filename)
File "/Users/Marcel/product-/PIL/ImageFile.py", line 97, in __init__
self._open()
File "/Users/Marcel/product-/PIL/PngImagePlugin.py", line 538, in _open
s = self.png.call(cid, pos, length)
File "/Users/Marcel/product-/PIL/PngImagePlugin.py", line 136, in call
return getattr(self, "chunk_" + cid.decode('ascii'))(pos, length)
File "/Users/Marcel/product-/PIL/PngImagePlugin.py", line 319, in chunk_iCCP
icc_profile = _safe_zlib_decompress(s[i+2:])
File "/Users/Marcel/product-/PIL/PngImagePlugin.py", line 90, in _safe_zlib_decompress
raise ValueError("Decompressed Data Too Large")
ValueError: Decompressed Data Too Large
My program is very straight forward:
import os, sys
import PIL
from PIL import Image
size = 235, 210
reviewedProductsList = open('products.txt', 'r')
reviewedProducts = reviewedProductsList.readlines()
t = map(lambda s: s.strip(), reviewedProducts)
print "Thumbs to create: '%s'" % len(reviewedProducts)
for infile in t:
outfile = infile
try:
im = Image.open('/Users/Marcel/images/07032017/' + infile)
im.thumbnail(size, Image.ANTIALIAS)
print "thumb created"
im.save('/Users/Marcel/product-/thumbs/' + outfile, "JPEG")
except IOError, e:
print "cannot create thumbnail for '%s'" % infile
print "error: '%s'" % e
I am performing this operation locally on my MacBook Pro.
This is to protect against a potential DoS attack on servers running Pillow caused by decompression bombs. It occurs when a decompressed image is found to have too large metadata. See http://pillow.readthedocs.io/en/4.0.x/handbook/image-file-formats.html?highlight=decompression#png
Here's the CVE report: https:// www.cvedetails.com/cve/CVE-2014-9601/
From a recent issue:
If you set ImageFile.LOAD_TRUNCATED_IMAGES to true, it will suppress
the error (but still not read the large metadata). Alternately, you can
change set the values here: https://github.com/python-pillow/Pillow/ blob/master/PIL/PngImagePlugin.py#L74
https://github.com/python-pillow/Pillow/issues/2445
following code should help you in setting what accepted answer says.
from PIL import PngImagePlugin
LARGE_ENOUGH_NUMBER = 100
PngImagePlugin.MAX_TEXT_CHUNK = LARGE_ENOUGH_NUMBER * (1024**2)
It's not documented how to set this value. I hope people find this useful.
I'm using Python and I have the following snippet of code:
>>> from PIL import Image
>>> from PIL import ImageFont
>>> from PIL import ImageDraw
>>> img = Image.open("sample_in.jpg")
>>> draw = ImageDraw.Draw(img)
# font = ImageFont.truetype(<font-file>, <font-size>)
>>> font = ImageFont.truetype("sans-serif.ttf", 16)
# draw.text((x, y),"Sample Text",(r,g,b))
>>> draw.text((0, 0),"Sample Text",(255,255,255),font=font)
>>> img.save('sample_in.jpg')
source: Add Text on Image using PIL
The problem I am having is I can't rename the file the same as the original is there a way to accomplish this?
Traceback:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/lib/python2.7/dist-packages/PIL/Image.py", line 1433, in save
fp = __builtin__.open(fp, "wb")
IOError: [Errno 13] Permission denied: 'sample_in.jpg'