pillow-heif
Python bindings to libheif for working with HEIF images and plugin for Pillow.
Features:
- Decoding of
8,10,12bit HEIC files. - Encoding of
8,10,12bit HEIC files. EXIF,XMP,IPTCread & write support.- Support of multiple images in one file and a
PrimaryImageattribute. - Adding & removing
thumbnails. - Grid(tiled) image encoding, like Apple devices do.
- Reading of
Depth Images. - (beta) Reading of
Auxiliary Imagesby johncf - Adding HEIF support to Pillow in one line of code as a plugin.
Note: The light version pi-heif of this project is discontinued, 1.4.0 is its final release.
Install
python3 -m pip install -U pip
python3 -m pip install pillow-heif
Example of use as a Pillow plugin
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)
16 bit PNG to 10 bit HEIF using OpenCV
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)
8/10/12 bit HEIF to 8/16 bit PNG using OpenCV
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)
Accessing decoded image data
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)
Get decoded image data as a Numpy array
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)
Accessing Depth Images
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"])
More Information
Wheels
| Wheels table | macOS Intel |
macOS Silicon |
Windows* | musllinux* | manylinux* |
|---|---|---|---|---|---|
| CPython 3.10 | ✅ | ✅ | ✅ | ✅ | ✅ |
| CPython 3.11 | ✅ | ✅ | ✅ | ✅ | ✅ |
| CPython 3.12 | ✅ | ✅ | ✅ | ✅ | ✅ |
| CPython 3.13 | ✅ | ✅ | ✅ | ✅ | ✅ |
| CPython 3.14 | ✅ | ✅ | ✅ | ✅ | ✅ |
| CPython 3.14t | ✅ | ✅ | ✅ | ✅ | ✅ |
| CPython 3.15 | ✅ | ✅ | ✅ | ✅ | ✅ |
| CPython 3.15t | ✅ | ✅ | ✅ | ✅ | ✅ |
| PyPy 3.11 v7.3 | ✅ | ✅ | ✅ | N/A | ✅ |
* x86_64, aarch64 wheels.
2 maintainers
Metadata
2 maintainers
Release files for pillow-heif 1.8.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pillow_heif-1.8.1.tar.gz | 17.4 MB | Details |
Built distributions (wheels)
Total release size: 414.2 MB
Release files / pillow_heif-1.8.1.tar.gz
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