# pi-heif
[](https://github.com/bigcat88/pillow_heif/actions/workflows/analysis-coverage.yml)
[](https://github.com/bigcat88/pillow_heif/actions/workflows/test-wheels-pi_heif.yml)
[](https://pepy.tech/project/pi-heif)
[](https://pepy.tech/project/pi-heif)
This is a light version of [Pillow-Heif](https://github.com/bigcat88/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](https://pillow-heif.readthedocs.io/).
The only difference is the name of the imported project.
### Install
```console
python3 -m pip install -U pip
python3 -m pip install pi-heif
```
### Example of use as a Pillow plugin
```python3
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
```python3
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
```python3
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
```python3
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<br/>Intel | macOS<br/>Silicon | Windows<br/> | musllinux* | manylinux* |
|--------------------|:---------------:|:-----------------:|:------------:|:----------:|:----------:|
| CPython 3.9 | ✅ | ✅ | ✅ | ✅ | ✅ |
| CPython 3.10 | ✅ | ✅ | ✅ | ✅ | ✅ |
| CPython 3.11 | ✅ | ✅ | ✅ | ✅ | ✅ |
| CPython 3.12 | ✅ | ✅ | ✅ | ✅ | ✅ |
| CPython 3.13 | ✅ | ✅ | ✅ | ✅ | ✅ |
| PyPy 3.10 v7.3 | ✅ | ✅ | ✅ | N/A | ✅ |
| PyPy 3.11 v7.3 | ✅ | ✅ | ✅ | N/A | ✅ |
* **x86_64**, **aarch64** wheels.
Raw data
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"description": "# pi-heif\n\n[](https://github.com/bigcat88/pillow_heif/actions/workflows/analysis-coverage.yml)\n[](https://github.com/bigcat88/pillow_heif/actions/workflows/test-wheels-pi_heif.yml)\n\n\n\n\n[](https://pepy.tech/project/pi-heif)\n[](https://pepy.tech/project/pi-heif)\n\n\n\n\n\n\n\nThis is a light version of [Pillow-Heif](https://github.com/bigcat88/pillow_heif) with more permissive license for binary wheels.\n\nIt includes only `HEIF` decoder and does not support `save` operations.\n\nAll codebase are the same, refer to [pillow-heif docs](https://pillow-heif.readthedocs.io/).\n\nThe only difference is the name of the imported project.\n\n### Install\n```console\npython3 -m pip install -U pip\npython3 -m pip install pi-heif\n```\n\n### Example of use as a Pillow plugin\n```python3\nfrom PIL import Image\nfrom pi_heif import register_heif_opener\n\nregister_heif_opener()\n\nim = Image.open(\"images/input.heic\") # do whatever need with a Pillow image\nim.show()\n```\n\n### 8/10/12 bit HEIF to 8/16 bit PNG using OpenCV\n```python3\nimport numpy as np\nimport cv2\nimport pi_heif\n\nheif_file = pi_heif.open_heif(\"image.heic\", convert_hdr_to_8bit=False, bgr_mode=True)\nnp_array = np.asarray(heif_file)\ncv2.imwrite(\"image.png\", np_array)\n```\n\n### Get decoded image data as a Numpy array\n```python3\nimport numpy as np\nimport pi_heif\n\nif pi_heif.is_supported(\"input.heic\"):\n heif_file = pi_heif.open_heif(\"input.heic\")\n np_array = np.asarray(heif_file)\n```\n\n### Accessing Depth Images\n\n```python3\nfrom PIL import Image\nfrom pillow_heif import register_heif_opener\nimport numpy as np\n\nregister_heif_opener()\n\nim = Image.open(\"../tests/images/heif_other/pug.heic\")\nif im.info[\"depth_images\"]:\n depth_im = im.info[\"depth_images\"][0] # Access the first depth image (usually there will be only one).\n # Depth images are instances of `class HeifDepthImage(BaseImage)`,\n # so work with them as you would with any usual image in pillow_heif.\n # Depending on what you need the depth image for, you can convert it to a NumPy array or convert it to a Pillow image.\n pil_im = depth_im.to_pillow()\n np_im = np.asarray(depth_im)\n print(pil_im)\n print(pil_im.info[\"metadata\"])\n```\n\n### Wheels\n\n| **_Wheels table_** | macOS<br/>Intel | macOS<br/>Silicon | Windows<br/> | musllinux* | manylinux* |\n|--------------------|:---------------:|:-----------------:|:------------:|:----------:|:----------:|\n| CPython 3.9 | \u2705 | \u2705 | \u2705 | \u2705 | \u2705 |\n| CPython 3.10 | \u2705 | \u2705 | \u2705 | \u2705 | \u2705 |\n| CPython 3.11 | \u2705 | \u2705 | \u2705 | \u2705 | \u2705 |\n| CPython 3.12 | \u2705 | \u2705 | \u2705 | \u2705 | \u2705 |\n| CPython 3.13 | \u2705 | \u2705 | \u2705 | \u2705 | \u2705 |\n| PyPy 3.10 v7.3 | \u2705 | \u2705 | \u2705 | N/A | \u2705 |\n| PyPy 3.11 v7.3 | \u2705 | \u2705 | \u2705 | N/A | \u2705 |\n\n* **x86_64**, **aarch64** wheels.\n",
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