Python 3.6+ interface to libheif library
Project description
pillow-heif
v0.4.0
Python bindings to libheif for working with HEIF images and an add-on for Pillow.
README for versions 0.2 - 0.3 lives here.
Features:
- Decoding of
8,10,12bit HEIF images. - Encoding of
8,10,12bit HEIF images. EXIF,XMP,IPTCread & write support.- Support of multiple images in one file, e.g HEIC files and
PrimaryImageattribute. - HEIF
native thumbnailssupport(API for this is still inalphaand could be changed). - Adding all this features to Pillow in one line of code as a plugin.
- Includes AVIF(x264) decoder.
Install
python3 -m pip install pillow-heif
Example of use as a Pillow plugin
from PIL import Image, ImageSequence
from pillow_heif import register_heif_opener
register_heif_opener()
image = Image.open("images/input.heic") # do whatever need with a Pillow image
for i, frame in enumerate(ImageSequence.Iterator(image)):
rotated = frame.rotate(13)
rotated.save(f"rotated_frame{i}.heic", quality=90)
16 bit PNG to 10 bit HEIF using OpenCV
import cv2
import pillow_heif
cv_img = cv2.imread("images/jpeg_gif_png/RGBA_16.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.heif", quality=-1)
8/10/12 bit HEIF to 16 bit PNG using OpenCV
import numpy as np
import cv2
import pillow_heif
heif_file = pillow_heif.open_heif("images/rgb12.heif", convert_hdr_to_8bit=False)
heif_file[0].convert_to("BGRA;16" if heif_file[0].has_alpha else "BGR;16")
np_array = np.asarray(heif_file[0])
cv2.imwrite("rgb16.png", np_array)
Accessing decoded image data
import pillow_heif
if pillow_heif.is_supported("images/rgb10.heif"):
heif_file = pillow_heif.open_heif("images/rgb10.heif", convert_hdr_to_8bit=False)
print("image mode:", heif_file[0].mode)
print("image data length:", len(heif_file[0].data))
print("image data stride:", heif_file[0].stride)
heif_file[0].convert_to("RGB;16") # convert 10 bit image to RGB 16 bit.
print("image mode:", heif_file[0].mode)
Get decoded image data as a Numpy array
import numpy as np
import pillow_heif
if pillow_heif.is_supported("images/rgb8_512_512_1_0.heic"):
heif_file = pillow_heif.open_heif("images/rgb8_512_512_1_0.heic")
np_array = np.asarray(heif_file[0])
Scaling and adding thumbnails
import pillow_heif
if pillow_heif.is_supported("input.heic"):
heif_file = pillow_heif.open_heif("input.heic")
for img in heif_file: # you still can use it without iteration, like before.
img.scale(1024, 768) # scaling each image in file.
heif_file.add_thumbnails([768, 512, 256]) # add three new thumbnail boxes.
# default quality is probably ~77 in x265, set it a bit lower.
heif_file.save("output.heic", quality=70, save_all=False) # save_all is True by default.
More Information
Wheels
| Wheels table | macOS Intel |
macOS Silicon |
Windows 64bit |
musllinux* | manylinux* |
|---|---|---|---|---|---|
| CPython 3.6 | N/A | N/A | N/A | ✅ | ✅ |
| CPython 3.7 | ✅ | N/A | ✅ | ✅ | ✅ |
| CPython 3.8 | ✅ | N/A | ✅ | ✅ | ✅ |
| CPython 3.9 | ✅ | ✅ | ✅ | ✅ | ✅ |
| CPython 3.10 | ✅ | ✅ | ✅ | ✅ | ✅ |
| PyPy 3.7 v7.3 | ✅ | N/A | N/A | N/A | ✅ |
| PyPy 3.8 v7.3 | ✅ | N/A | N/A | N/A | ✅ |
| PyPy 3.9 v7.3 | ✅ | N/A | N/A | N/A | ✅ |
* i686, x86_64, aarch64 wheels.
Versions 0.5.X will be last to support Python 3.6
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