Related
I want to tried using OCR and pytesseract. I have code like this
!sudo apt install tesseract-ocr
!pip install pytesseract
import pytesseract
import shutil
import os
import random
try:
from PIL import Image
except ImportError:
import Image
from google.colab import files
uploaded = files.upload()
extractedInformation = pytesseract.image_to_string(Image.open(1.jpg))
or you can check it out here : Google Colab
But when I try to upload some image and try to extract the file,it show error like this
UnidentifiedImageError Traceback (most recent call last)
<ipython-input-37-44411f3825fa> in <module>
----> 1 extractedInformation = pytesseract.image_to_string(Image.open('1.jpg'))
/usr/local/lib/python3.7/dist-packages/PIL/Image.py in open(fp, mode)
2894
2895 Note that this function decodes pixel data only, not entire images.
-> 2896 If you have an entire image file in a string, wrap it in a
2897 :py:class:`~io.BytesIO` object, and use :py:func:`~PIL.Image.open` to load it.
2898
UnidentifiedImageError: cannot identify image file '1.jpg'
I have asked my friend to try the code but why that he has no error like me? The code is run smoothly with no error. is that something missing in my computer? or something that I should Install first?
The High Efficiency Image File (HEIF) format is the default when airdropping an image from an iPhone to a OSX device. I want to edit and modify these .HEIC files with Python.
I could modify phone settings to save as JPG by default but that doesn't really solve the problem of being able to work with the filetype from others. I still want to be able to process HEIC files for doing file conversion, extracting metadata, etc. (Example Use Case -- Geocoding)
Pillow
Here is the result of working with Python 3.7 and Pillow when trying to read a file of this type.
$ ipython
Python 3.7.0 (default, Oct 2 2018, 09:20:07)
Type 'copyright', 'credits' or 'license' for more information
IPython 7.2.0 -- An enhanced Interactive Python. Type '?' for help.
In [1]: from PIL import Image
In [2]: img = Image.open('IMG_2292.HEIC')
---------------------------------------------------------------------------
OSError Traceback (most recent call last)
<ipython-input-2-fe47106ce80b> in <module>
----> 1 img = Image.open('IMG_2292.HEIC')
~/.env/py3/lib/python3.7/site-packages/PIL/Image.py in open(fp, mode)
2685 warnings.warn(message)
2686 raise IOError("cannot identify image file %r"
-> 2687 % (filename if filename else fp))
2688
2689 #
OSError: cannot identify image file 'IMG_2292.HEIC'
It looks like support in python-pillow was requested (#2806) but there are licensing / patent issues preventing it there.
ImageMagick + Wand
It appears that ImageMagick may be an option. After doing a brew install imagemagick and pip install wand however I was unsuccessful.
$ ipython
Python 3.7.0 (default, Oct 2 2018, 09:20:07)
Type 'copyright', 'credits' or 'license' for more information
IPython 7.2.0 -- An enhanced Interactive Python. Type '?' for help.
In [1]: from wand.image import Image
In [2]: with Image(filename='img.jpg') as img:
...: print(img.size)
...:
(4032, 3024)
In [3]: with Image(filename='img.HEIC') as img:
...: print(img.size)
...:
---------------------------------------------------------------------------
MissingDelegateError Traceback (most recent call last)
<ipython-input-3-9d6f58c40f95> in <module>
----> 1 with Image(filename='ces2.HEIC') as img:
2 print(img.size)
3
~/.env/py3/lib/python3.7/site-packages/wand/image.py in __init__(self, image, blob, file, filename, format, width, height, depth, background, resolution, pseudo)
4603 self.read(blob=blob, resolution=resolution)
4604 elif filename is not None:
-> 4605 self.read(filename=filename, resolution=resolution)
4606 # clear the wand format, otherwise any subsequent call to
4607 # MagickGetImageBlob will silently change the image to this
~/.env/py3/lib/python3.7/site-packages/wand/image.py in read(self, file, filename, blob, resolution)
4894 r = library.MagickReadImage(self.wand, filename)
4895 if not r:
-> 4896 self.raise_exception()
4897
4898 def save(self, file=None, filename=None):
~/.env/py3/lib/python3.7/site-packages/wand/resource.py in raise_exception(self, stacklevel)
220 warnings.warn(e, stacklevel=stacklevel + 1)
221 elif isinstance(e, Exception):
--> 222 raise e
223
224 def __enter__(self):
MissingDelegateError: no decode delegate for this image format `HEIC' # error/constitute.c/ReadImage/556
Any other alternatives available to do a conversion programmatically?
Consider using PIL in conjunction with pillow-heif:
pip3 install pillow-heif
from PIL import Image
from pillow_heif import register_heif_opener
register_heif_opener()
image = Image.open('image.heic')
That said, I'm not aware of any licensing/patent issues that would prevent HEIF support in Pillow (see this or this). libheif is widely adopted and free to use, provided you do not bundle the HEIF decoder with a device and fulfill the requirements of the LGPLv3 license.
You guys should check out this library, it's a Python 3 wrapper to the libheif library, it should serve your purpose of file conversion, extracting metadata:
https://github.com/david-poirier-csn/pyheif
https://pypi.org/project/pyheif/
Example usage:
import io
import whatimage
import pyheif
from PIL import Image
def decodeImage(bytesIo):
fmt = whatimage.identify_image(bytesIo)
if fmt in ['heic', 'avif']:
i = pyheif.read_heif(bytesIo)
# Extract metadata etc
for metadata in i.metadata or []:
if metadata['type']=='Exif':
# do whatever
# Convert to other file format like jpeg
s = io.BytesIO()
pi = Image.frombytes(
mode=i.mode, size=i.size, data=i.data)
pi.save(s, format="jpeg")
...
I was quite successful with Wand package :
Install Wand:
https://docs.wand-py.org/en/0.6.4/
Code for conversion:
from wand.image import Image
import os
SourceFolder="K:/HeicFolder"
TargetFolder="K:/JpgFolder"
for file in os.listdir(SourceFolder):
SourceFile=SourceFolder + "/" + file
TargetFile=TargetFolder + "/" + file.replace(".HEIC",".JPG")
img=Image(filename=SourceFile)
img.format='jpg'
img.save(filename=TargetFile)
img.close()
Here is another solution to convert heic to jpg while keeping the metadata intact. It is based on mara004s solution above, however I was not able to extract the images timestamp in that way, so had to add some code. Put the heic files in dir_of_interest before applying the function:
import os
from PIL import Image, ExifTags
from pillow_heif import register_heif_opener
from datetime import datetime
import piexif
import re
register_heif_opener()
def convert_heic_to_jpeg(dir_of_interest):
filenames = os.listdir(dir_of_interest)
filenames_matched = [re.search("\.HEIC$|\.heic$", filename) for filename in filenames]
# Extract files of interest
HEIC_files = []
for index, filename in enumerate(filenames_matched):
if filename:
HEIC_files.append(filenames[index])
# Convert files to jpg while keeping the timestamp
for filename in HEIC_files:
image = Image.open(dir_of_interest + "/" + filename)
image_exif = image.getexif()
if image_exif:
# Make a map with tag names and grab the datetime
exif = { ExifTags.TAGS[k]: v for k, v in image_exif.items() if k in ExifTags.TAGS and type(v) is not bytes }
date = datetime.strptime(exif['DateTime'], '%Y:%m:%d %H:%M:%S')
# Load exif data via piexif
exif_dict = piexif.load(image.info["exif"])
# Update exif data with orientation and datetime
exif_dict["0th"][piexif.ImageIFD.DateTime] = date.strftime("%Y:%m:%d %H:%M:%S")
exif_dict["0th"][piexif.ImageIFD.Orientation] = 1
exif_bytes = piexif.dump(exif_dict)
# Save image as jpeg
image.save(dir_of_interest + "/" + os.path.splitext(filename)[0] + ".jpg", "jpeg", exif= exif_bytes)
else:
print(f"Unable to get exif data for {filename}")
Adding to the answer by danial, i just had to modify the byte array slighly to get a valid datastream for further work. The first 6 bytes are 'Exif\x00\x00' .. dropping these will give you a raw format that you can pipe into any image processing tool.
import pyheif
import PIL
import exifread
def read_heic(path: str):
with open(path, 'rb') as file:
image = pyheif.read_heif(file)
for metadata in image.metadata or []:
if metadata['type'] == 'Exif':
fstream = io.BytesIO(metadata['data'][6:])
# now just convert to jpeg
pi = PIL.Image.open(fstream)
pi.save("file.jpg", "JPEG")
# or do EXIF processing with exifread
tags = exifread.process_file(fstream)
At least this worked for me.
You can use the pillow_heif library to read HEIF images in a way compatible with PIL.
The example below will import a HEIF picture and save it in png format.
from PIL import Image
import pillow_heif
heif_file = pillow_heif.read_heif("HEIC_file.HEIC")
image = Image.frombytes(
heif_file.mode,
heif_file.size,
heif_file.data,
"raw",
)
image.save("./picture_name.png", format="png")
This will do go get the exif data from the heic file
import pyheif
import exifread
import io
heif_file = pyheif.read_heif("file.heic")
for metadata in heif_file.metadata:
if metadata['type'] == 'Exif':
fstream = io.BytesIO(metadata['data'][6:])
exifdata = exifread.process_file(fstream,details=False)
# example to get device model from heic file
model = str(exifdata.get("Image Model"))
print(model)
Example for working with HDR(10/12) bit HEIF files using OpenCV and pillow-heif:
import numpy as np
import cv2
import pillow_heif
heif_file = pillow_heif.open_heif("images/rgb12.heif", convert_hdr_to_8bit=False)
heif_file.convert_to("BGRA;16" if heif_file.has_alpha else "BGR;16")
np_array = np.asarray(heif_file)
cv2.imwrite("rgb16.png", np_array)
Input file for this example can be 10 or 12 bit file.
I am facing the exact same problem as you, wanting a CLI solution. Doing some further research, it seems ImageMagick requires the libheif delegate library. The libheif library itself seems to have some dependencies as well.
I have not had success in getting any of those to work as well, but will continue trying. I suggest you check if those dependencies are available to your configuration.
Simple solution after going over multiple responses from people.
Please install whatimage, pyheif and PIL libraries before running this code.
[NOTE] : I used this command for install.
python3 -m pip install Pillow
Also using linux was lot easier to install all these libraries. I recommend WSL for windows.
code
import whatimage
import pyheif
from PIL import Image
import os
def decodeImage(bytesIo, index):
with open(bytesIo, 'rb') as f:
data = f.read()
fmt = whatimage.identify_image(data)
if fmt in ['heic', 'avif']:
i = pyheif.read_heif(data)
pi = Image.frombytes(mode=i.mode, size=i.size, data=i.data)
pi.save("new" + str(index) + ".jpg", format="jpeg")
# For my use I had my python file inside the same folder as the heic files
source = "./"
for index,file in enumerate(os.listdir(source)):
decodeImage(file, index)
It looked like that there is a solution called heic-to-jpg, but I might be not very sure about how this would work in colab.
the first answer works, but since its just calling save with a BytesIO object as the argument, it doesnt actually save the new jpeg file, but if you create a new File object with open and pass that, it saves to that file ie:
import whatimage
import pyheif
from PIL import Image
def decodeImage(bytesIo):
fmt = whatimage.identify_image(bytesIo)
if fmt in ['heic', 'avif']:
i = pyheif.read_heif(bytesIo)
# Convert to other file format like jpeg
s = open('my-new-image.jpg', mode='w')
pi = Image.frombytes(
mode=i.mode, size=i.size, data=i.data)
pi.save(s, format="jpeg")
I use the pillow_heif library. For example, I use this script when I have a folder of heif files I want to convert to png.
from PIL import Image
import pillow_heif
import os
from tqdm import tqdm
import argparse
def get_images(heic_folder):
# Get all the heic images in the folder
imgs = [os.path.join(heic_folder, f) for f in os.listdir(heic_folder) if f.endswith('.HEIC')]
# Name of the folder where the png files will be stored
png_folder = heic_folder + "_png"
# If it doesn't exist, create the folder
if not os.path.exists(png_folder):
os.mkdir(png_folder)
for img in tqdm(imgs):
heif_file = pillow_heif.read_heif(img)
image = Image.frombytes(
heif_file.mode,
heif_file.size,
heif_file.data,
"raw",
)
image.save(os.path.join(png_folder,os.path.basename(img).split('.')[0])+'.png', format("png"))
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='Convert heic images to png')
parser.add_argument('heic_folder', type=str, help='Folder with heic images')
args = parser.parse_args()
get_images(args.heic_folder)
Long shot but I am stuck. Running this test code in Amazon Sagemaker with a Python3 kernel and the function doesn't recognize the web location of the image (media.ci.org). I can't find anything in the documentation from facenet_pytorch about this, anyone know if this is possible? I can do this in R, but much slower.
pip install facenet-pytorch
from facenet_pytorch import MTCNN, InceptionResnetV1
# If required, create a face detection pipeline using MTCNN:
mtcnn = MTCNN()
# Create an inception resnet (in eval mode):
resnet = InceptionResnetV1(pretrained='vggface2').eval()
from PIL import Image
img = Image.open("https://media.ci.org/w_150/v1609425653/ChildPhotos/Published/08704975_wctwrt.jpg")
FileNotFoundError Traceback (most recent call last)
in
----> 1 img = Image.open("https://media.ci.org/w_150/v1609425653/ChildPhotos/Published/08704975_wctwrt.jpg")
/opt/conda/lib/python3.7/site-packages/PIL/Image.py in open(fp, mode, formats)
3090
3091 if filename:
-> 3092 fp = builtins.open(filename, "rb")
3093 exclusive_fp = True
3094
FileNotFoundError: [Errno 2] No such file or directory: 'https://media.ci.org/w_150/v1609425653/ChildPhotos/Published/08704975_wctwrt.jpg'
You should ideally use requests to download the image locally and then using PIL.Image to open something like this.
from PIL import Image
import requests
from io import BytesIO
response = requests.get(url)
img = Image.open(BytesIO(response.content))
The High Efficiency Image File (HEIF) format is the default when airdropping an image from an iPhone to a OSX device. I want to edit and modify these .HEIC files with Python.
I could modify phone settings to save as JPG by default but that doesn't really solve the problem of being able to work with the filetype from others. I still want to be able to process HEIC files for doing file conversion, extracting metadata, etc. (Example Use Case -- Geocoding)
Pillow
Here is the result of working with Python 3.7 and Pillow when trying to read a file of this type.
$ ipython
Python 3.7.0 (default, Oct 2 2018, 09:20:07)
Type 'copyright', 'credits' or 'license' for more information
IPython 7.2.0 -- An enhanced Interactive Python. Type '?' for help.
In [1]: from PIL import Image
In [2]: img = Image.open('IMG_2292.HEIC')
---------------------------------------------------------------------------
OSError Traceback (most recent call last)
<ipython-input-2-fe47106ce80b> in <module>
----> 1 img = Image.open('IMG_2292.HEIC')
~/.env/py3/lib/python3.7/site-packages/PIL/Image.py in open(fp, mode)
2685 warnings.warn(message)
2686 raise IOError("cannot identify image file %r"
-> 2687 % (filename if filename else fp))
2688
2689 #
OSError: cannot identify image file 'IMG_2292.HEIC'
It looks like support in python-pillow was requested (#2806) but there are licensing / patent issues preventing it there.
ImageMagick + Wand
It appears that ImageMagick may be an option. After doing a brew install imagemagick and pip install wand however I was unsuccessful.
$ ipython
Python 3.7.0 (default, Oct 2 2018, 09:20:07)
Type 'copyright', 'credits' or 'license' for more information
IPython 7.2.0 -- An enhanced Interactive Python. Type '?' for help.
In [1]: from wand.image import Image
In [2]: with Image(filename='img.jpg') as img:
...: print(img.size)
...:
(4032, 3024)
In [3]: with Image(filename='img.HEIC') as img:
...: print(img.size)
...:
---------------------------------------------------------------------------
MissingDelegateError Traceback (most recent call last)
<ipython-input-3-9d6f58c40f95> in <module>
----> 1 with Image(filename='ces2.HEIC') as img:
2 print(img.size)
3
~/.env/py3/lib/python3.7/site-packages/wand/image.py in __init__(self, image, blob, file, filename, format, width, height, depth, background, resolution, pseudo)
4603 self.read(blob=blob, resolution=resolution)
4604 elif filename is not None:
-> 4605 self.read(filename=filename, resolution=resolution)
4606 # clear the wand format, otherwise any subsequent call to
4607 # MagickGetImageBlob will silently change the image to this
~/.env/py3/lib/python3.7/site-packages/wand/image.py in read(self, file, filename, blob, resolution)
4894 r = library.MagickReadImage(self.wand, filename)
4895 if not r:
-> 4896 self.raise_exception()
4897
4898 def save(self, file=None, filename=None):
~/.env/py3/lib/python3.7/site-packages/wand/resource.py in raise_exception(self, stacklevel)
220 warnings.warn(e, stacklevel=stacklevel + 1)
221 elif isinstance(e, Exception):
--> 222 raise e
223
224 def __enter__(self):
MissingDelegateError: no decode delegate for this image format `HEIC' # error/constitute.c/ReadImage/556
Any other alternatives available to do a conversion programmatically?
Consider using PIL in conjunction with pillow-heif:
pip3 install pillow-heif
from PIL import Image
from pillow_heif import register_heif_opener
register_heif_opener()
image = Image.open('image.heic')
That said, I'm not aware of any licensing/patent issues that would prevent HEIF support in Pillow (see this or this). libheif is widely adopted and free to use, provided you do not bundle the HEIF decoder with a device and fulfill the requirements of the LGPLv3 license.
You guys should check out this library, it's a Python 3 wrapper to the libheif library, it should serve your purpose of file conversion, extracting metadata:
https://github.com/david-poirier-csn/pyheif
https://pypi.org/project/pyheif/
Example usage:
import io
import whatimage
import pyheif
from PIL import Image
def decodeImage(bytesIo):
fmt = whatimage.identify_image(bytesIo)
if fmt in ['heic', 'avif']:
i = pyheif.read_heif(bytesIo)
# Extract metadata etc
for metadata in i.metadata or []:
if metadata['type']=='Exif':
# do whatever
# Convert to other file format like jpeg
s = io.BytesIO()
pi = Image.frombytes(
mode=i.mode, size=i.size, data=i.data)
pi.save(s, format="jpeg")
...
I was quite successful with Wand package :
Install Wand:
https://docs.wand-py.org/en/0.6.4/
Code for conversion:
from wand.image import Image
import os
SourceFolder="K:/HeicFolder"
TargetFolder="K:/JpgFolder"
for file in os.listdir(SourceFolder):
SourceFile=SourceFolder + "/" + file
TargetFile=TargetFolder + "/" + file.replace(".HEIC",".JPG")
img=Image(filename=SourceFile)
img.format='jpg'
img.save(filename=TargetFile)
img.close()
Here is another solution to convert heic to jpg while keeping the metadata intact. It is based on mara004s solution above, however I was not able to extract the images timestamp in that way, so had to add some code. Put the heic files in dir_of_interest before applying the function:
import os
from PIL import Image, ExifTags
from pillow_heif import register_heif_opener
from datetime import datetime
import piexif
import re
register_heif_opener()
def convert_heic_to_jpeg(dir_of_interest):
filenames = os.listdir(dir_of_interest)
filenames_matched = [re.search("\.HEIC$|\.heic$", filename) for filename in filenames]
# Extract files of interest
HEIC_files = []
for index, filename in enumerate(filenames_matched):
if filename:
HEIC_files.append(filenames[index])
# Convert files to jpg while keeping the timestamp
for filename in HEIC_files:
image = Image.open(dir_of_interest + "/" + filename)
image_exif = image.getexif()
if image_exif:
# Make a map with tag names and grab the datetime
exif = { ExifTags.TAGS[k]: v for k, v in image_exif.items() if k in ExifTags.TAGS and type(v) is not bytes }
date = datetime.strptime(exif['DateTime'], '%Y:%m:%d %H:%M:%S')
# Load exif data via piexif
exif_dict = piexif.load(image.info["exif"])
# Update exif data with orientation and datetime
exif_dict["0th"][piexif.ImageIFD.DateTime] = date.strftime("%Y:%m:%d %H:%M:%S")
exif_dict["0th"][piexif.ImageIFD.Orientation] = 1
exif_bytes = piexif.dump(exif_dict)
# Save image as jpeg
image.save(dir_of_interest + "/" + os.path.splitext(filename)[0] + ".jpg", "jpeg", exif= exif_bytes)
else:
print(f"Unable to get exif data for {filename}")
Adding to the answer by danial, i just had to modify the byte array slighly to get a valid datastream for further work. The first 6 bytes are 'Exif\x00\x00' .. dropping these will give you a raw format that you can pipe into any image processing tool.
import pyheif
import PIL
import exifread
def read_heic(path: str):
with open(path, 'rb') as file:
image = pyheif.read_heif(file)
for metadata in image.metadata or []:
if metadata['type'] == 'Exif':
fstream = io.BytesIO(metadata['data'][6:])
# now just convert to jpeg
pi = PIL.Image.open(fstream)
pi.save("file.jpg", "JPEG")
# or do EXIF processing with exifread
tags = exifread.process_file(fstream)
At least this worked for me.
You can use the pillow_heif library to read HEIF images in a way compatible with PIL.
The example below will import a HEIF picture and save it in png format.
from PIL import Image
import pillow_heif
heif_file = pillow_heif.read_heif("HEIC_file.HEIC")
image = Image.frombytes(
heif_file.mode,
heif_file.size,
heif_file.data,
"raw",
)
image.save("./picture_name.png", format="png")
This will do go get the exif data from the heic file
import pyheif
import exifread
import io
heif_file = pyheif.read_heif("file.heic")
for metadata in heif_file.metadata:
if metadata['type'] == 'Exif':
fstream = io.BytesIO(metadata['data'][6:])
exifdata = exifread.process_file(fstream,details=False)
# example to get device model from heic file
model = str(exifdata.get("Image Model"))
print(model)
Example for working with HDR(10/12) bit HEIF files using OpenCV and pillow-heif:
import numpy as np
import cv2
import pillow_heif
heif_file = pillow_heif.open_heif("images/rgb12.heif", convert_hdr_to_8bit=False)
heif_file.convert_to("BGRA;16" if heif_file.has_alpha else "BGR;16")
np_array = np.asarray(heif_file)
cv2.imwrite("rgb16.png", np_array)
Input file for this example can be 10 or 12 bit file.
I am facing the exact same problem as you, wanting a CLI solution. Doing some further research, it seems ImageMagick requires the libheif delegate library. The libheif library itself seems to have some dependencies as well.
I have not had success in getting any of those to work as well, but will continue trying. I suggest you check if those dependencies are available to your configuration.
Simple solution after going over multiple responses from people.
Please install whatimage, pyheif and PIL libraries before running this code.
[NOTE] : I used this command for install.
python3 -m pip install Pillow
Also using linux was lot easier to install all these libraries. I recommend WSL for windows.
code
import whatimage
import pyheif
from PIL import Image
import os
def decodeImage(bytesIo, index):
with open(bytesIo, 'rb') as f:
data = f.read()
fmt = whatimage.identify_image(data)
if fmt in ['heic', 'avif']:
i = pyheif.read_heif(data)
pi = Image.frombytes(mode=i.mode, size=i.size, data=i.data)
pi.save("new" + str(index) + ".jpg", format="jpeg")
# For my use I had my python file inside the same folder as the heic files
source = "./"
for index,file in enumerate(os.listdir(source)):
decodeImage(file, index)
It looked like that there is a solution called heic-to-jpg, but I might be not very sure about how this would work in colab.
the first answer works, but since its just calling save with a BytesIO object as the argument, it doesnt actually save the new jpeg file, but if you create a new File object with open and pass that, it saves to that file ie:
import whatimage
import pyheif
from PIL import Image
def decodeImage(bytesIo):
fmt = whatimage.identify_image(bytesIo)
if fmt in ['heic', 'avif']:
i = pyheif.read_heif(bytesIo)
# Convert to other file format like jpeg
s = open('my-new-image.jpg', mode='w')
pi = Image.frombytes(
mode=i.mode, size=i.size, data=i.data)
pi.save(s, format="jpeg")
I use the pillow_heif library. For example, I use this script when I have a folder of heif files I want to convert to png.
from PIL import Image
import pillow_heif
import os
from tqdm import tqdm
import argparse
def get_images(heic_folder):
# Get all the heic images in the folder
imgs = [os.path.join(heic_folder, f) for f in os.listdir(heic_folder) if f.endswith('.HEIC')]
# Name of the folder where the png files will be stored
png_folder = heic_folder + "_png"
# If it doesn't exist, create the folder
if not os.path.exists(png_folder):
os.mkdir(png_folder)
for img in tqdm(imgs):
heif_file = pillow_heif.read_heif(img)
image = Image.frombytes(
heif_file.mode,
heif_file.size,
heif_file.data,
"raw",
)
image.save(os.path.join(png_folder,os.path.basename(img).split('.')[0])+'.png', format("png"))
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='Convert heic images to png')
parser.add_argument('heic_folder', type=str, help='Folder with heic images')
args = parser.parse_args()
get_images(args.heic_folder)
I have a function to convert a bmp to pdf with PILLOW, this script I have it in non compiled version and compiled version (.exe). In the first one it works correctly, but in the second PILLOW throws an exception ('PDF'). Specifically fails in the .save ()
Paths and filename with extension are correct.
from PIL import Image
def bmp2pdf(self, file):
''' Convert a bmp file to PDF file, and delete old bmp file '''
img = Image.open(file)
output = file.replace('.bmp', '.pdf')
try:
img.save(output, "PDF", resolution=100.0)
remove(file)
except Exception as err:
print(err)
In the compiled version the output is:
'PDF'
Thx.
Follow this code.It works. 3 line code.
from PIL import Image
def bmp2pdf(self,path):
img = Image.open(path)
img.save('image.pdf','pdf')
I got a file named image.pdf with the image in it.
I had to add in my setup to generate the .exe I should import PIL and not PIL.IMAGE, so the whole module is loaded and the pdf feature is available
I'm using cx_freeze:
'Packages': [
'PyQt5.uic',
"...",
'PIL',
]