pi-heif 0.20.0

Python interface for libheif library

pi-heif

This is a light version of Pillow-Heif with more permissive license for binary wheels.

It includes only HEIF decoder and does not support save operations.

All codebase are the same, refer to pillow-heif docs.

The only difference is the name of the imported project.

Install

python3 -m pip install -U pip
python3 -m pip install pi-heif

Example of use as a Pillow plugin

from PIL import Image
from pi_heif import register_heif_opener

register_heif_opener()

im = Image.open("images/input.heic")  # do whatever need with a Pillow image
im.show()

8/10/12 bit HEIF to 8/16 bit PNG using OpenCV

import numpy as np
import cv2
import pi_heif

heif_file = pi_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)

Get decoded image data as a Numpy array

import numpy as np
import pi_heif

if pi_heif.is_supported("input.heic"):
    heif_file = pi_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"])

Wheels

Wheels table	macOS Intel	macOS Silicon	Windows	musllinux*	manylinux*
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.