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Python bindings to libheif for working with HEIF images and plugin for Pillow.
Features:
8
, 10
, 12
bit HEIC and AVIF files.8
, 10
, 12
bit HEIC and AVIF files.EXIF
, XMP
, IPTC
read & write support.PrimaryImage
attribute.thumbnails
.Depth Images
.Note: Here is a light version pi-heif of this project without encoding capabilities.
python3 -m pip install -U pip
python3 -m pip install pillow-heif
from PIL import Image
from pillow_heif import register_heif_opener
register_heif_opener()
im = Image.open("image.heic") # do whatever need with a Pillow image
im = im.rotate(13)
im.save(f"rotated_image.heic", quality=90)
import cv2
import pillow_heif
cv_img = cv2.imread("16bit_with_alpha.png", cv2.IMREAD_UNCHANGED)
heif_file = pillow_heif.from_bytes(
mode="BGRA;16",
size=(cv_img.shape[1], cv_img.shape[0]),
data=bytes(cv_img)
)
heif_file.save("RGBA_10bit.heic", quality=-1)
import numpy as np
import cv2
import pillow_heif
heif_file = pillow_heif.open_heif("image.heic", convert_hdr_to_8bit=False, bgr_mode=True)
np_array = np.asarray(heif_file)
cv2.imwrite("image.png", np_array)
import pillow_heif
if pillow_heif.is_supported("image.heic"):
heif_file = pillow_heif.open_heif("image.heic", convert_hdr_to_8bit=False)
print("image size:", heif_file.size)
print("image mode:", heif_file.mode)
print("image data length:", len(heif_file.data))
print("image data stride:", heif_file.stride)
import numpy as np
import pillow_heif
if pillow_heif.is_supported("input.heic"):
heif_file = pillow_heif.open_heif("input.heic")
np_array = np.asarray(heif_file)
Working with the AVIF
files as the same as with the HEIC
files. Just use a separate function to register plugin:
import pillow_heif
pillow_heif.register_avif_opener()
from PIL import Image
from pillow_heif import register_heif_opener
import numpy as np
register_heif_opener()
im = Image.open("../tests/images/heif_other/pug.heic")
if im.info["depth_images"]:
depth_im = im.info["depth_images"][0] # Access the first depth image (usually there will be only one).
# Depth images are instances of `class HeifDepthImage(BaseImage)`,
# so work with them as you would with any usual image in pillow_heif.
# Depending on what you need the depth image for, you can convert it to a NumPy array or convert it to a Pillow image.
pil_im = depth_im.to_pillow()
np_im = np.asarray(depth_im)
print(pil_im)
print(pil_im.info["metadata"])
Wheels table | macOS Intel | macOS Silicon | Windows | musllinux* | manylinux* |
---|---|---|---|---|---|
CPython 3.8 | ✅ | N/A | ✅ | ✅ | ✅ |
CPython 3.9 | ✅ | ✅ | ✅ | ✅ | ✅ |
CPython 3.10 | ✅ | ✅ | ✅ | ✅ | ✅ |
CPython 3.11 | ✅ | ✅ | ✅ | ✅ | ✅ |
CPython 3.12 | ✅ | ✅ | ✅ | ✅ | ✅ |
CPython 3.13 | ✅ | ✅ | ✅ | ✅ | ✅ |
PyPy 3.9 v7.3 | ✅ | ✅ | ✅ | N/A | ✅ |
PyPy 3.10 v7.3 | ✅ | ✅ | ✅ | N/A | ✅ |
* x86_64, aarch64 wheels.
FAQs
Python interface for libheif library
We found that pillow-heif demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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