Python interface for libheif library
Project description
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 3.8 | ✅ | 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.
Project details
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Source Distribution
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Hashes for pi_heif-0.18.0-cp39-cp39-musllinux_1_2_aarch64.whl
Algorithm | Hash digest | |
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SHA256 | ccd611653581f39c77ab8222a660e471e724d8f7c6f4e50760b10ce06769d9d8 |
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MD5 | 22f3ae242c75dd169a1f0616c98b5f93 |
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BLAKE2b-256 | 5263265d5b77c79f045b7416ba3943f2444877c5caa46af15656c35ecfb3036f |
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Hashes for pi_heif-0.18.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
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SHA256 | 3fa5366b2f555b6b3a56b09aa74f178a040edb174b29060d8d56c03eea154e43 |
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MD5 | c35555b919642935b59f91abeb130e94 |
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BLAKE2b-256 | 8311f8b69375cc108d14ba6c9948d25369390c2d4f7711e11105961cd2d0a422 |
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Hashes for pi_heif-0.18.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm | Hash digest | |
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SHA256 | 1159f54d76b860cc27753c9925e2923959d8b5277372db946cb1078fa11ed1ea |
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MD5 | 69081a6b79c0dd53636abba8749b7b5c |
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BLAKE2b-256 | cd2fbea3c54c7014dbefe67a8217309b20e65a941ffb622cab9eaa4a602b661b |
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Hashes for pi_heif-0.18.0-cp39-cp39-macosx_14_0_arm64.whl
Algorithm | Hash digest | |
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SHA256 | 054cd3544e421b342b15b5eb8db4de222a09ca3ae441f4fa5943f80d9e65c5d6 |
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MD5 | ae1e4e2dc45ca441301ad0710d90a460 |
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BLAKE2b-256 | 6e5a90e3c77bc256bbada9f7ebb5b00bd2575654940a4f339c01e72479715d2d |
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Hashes for pi_heif-0.18.0-cp39-cp39-macosx_12_0_x86_64.whl
Algorithm | Hash digest | |
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SHA256 | 6541a05177c3d8f00e56f4cc8ee9c681eb25fcdc917065acbc426847eb8aea97 |
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MD5 | 49569237667ee5165434f5d87b0fbd32 |
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BLAKE2b-256 | 7945d1634db71ad649927391f482a2278a9f6cd9744562fb367c3a553664cf99 |
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Hashes for pi_heif-0.18.0-cp38-cp38-win_amd64.whl
Algorithm | Hash digest | |
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SHA256 | 4ecb9031ad1cb7eed1591cba95420964557cff8fc63bab9bdc204d53301e502f |
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MD5 | cc3b3b7d6fc634a2f0220d343de714f4 |
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BLAKE2b-256 | 6625a82f9711f0337ad39d94059bd88ef5d713222578c644940de9db7762f1bb |
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Hashes for pi_heif-0.18.0-cp38-cp38-musllinux_1_2_x86_64.whl
Algorithm | Hash digest | |
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SHA256 | 45d360c3a056d9c81b0480a546f291bbc53caf70705f3a49d082e728735ed4ae |
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MD5 | d47861c226cdecfeca780634ff02bed9 |
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BLAKE2b-256 | 99d046f5c55afe93e6304d3508386811af8c49467918a2f19c03efb54ac89b36 |
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Hashes for pi_heif-0.18.0-cp38-cp38-musllinux_1_2_aarch64.whl
Algorithm | Hash digest | |
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SHA256 | 00a6d72ba2cc1477c8a909bfbbac4f5d931a25a88979077b231b76e7b9c80ba6 |
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MD5 | 499b587f206e5adaab681dbc57650ed5 |
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BLAKE2b-256 | 64569c12cb4a0349a0c906e22b8b77d5121fdfca3b3d8eff14567210fd70b086 |
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Hashes for pi_heif-0.18.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
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SHA256 | ad3f54dcc54a4c2ed1c58a135375330fe7b2ba2c2a8a816d3296c12e9d8c284c |
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MD5 | 03036de44283cb2f67c10597f6c5faf4 |
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BLAKE2b-256 | ac90038933ba5bc429fc99cb6a47e78f51a6be5258a40714e9d4a76a2d429702 |
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Hashes for pi_heif-0.18.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm | Hash digest | |
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SHA256 | b2af8ac6bd93e5df02b9f292a10664524844f37b39079e55aa9ef5857a3b0a22 |
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MD5 | a4b360fe38c318035318ab907ab1f04e |
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BLAKE2b-256 | f6a442945246da60f61298aad0319a385dcdabe88a2b8ca113546197ffeac15b |
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Hashes for pi_heif-0.18.0-cp38-cp38-macosx_12_0_x86_64.whl
Algorithm | Hash digest | |
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SHA256 | 2c912219964dc864e1454ab4f43d97cbf6a88d065410a16936e7c59b1290a7da |
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MD5 | 60509ae4c571b52454084daf2995fd2d |
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BLAKE2b-256 | 52b45def624ff0ca2713ee80343b15df18fc0ebe95cec8a56f599e9b78c8501f |