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feat(server): add jxl as target format (#32732)

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(cherry picked from commit 9560989cb97fb93cd6ab74f7811acce133a9b768)
This commit is contained in:
Mert
2026-10-27 23:12:52 +03:00
committed by Codex
parent f1a09c1389
commit db411a4497
15 changed files with 167 additions and 30 deletions
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machine-learning/immich_ml/models/transforms.py
+4
View File
@@ -7,10 +7,14 @@ import numpy as np
import orjson
from numpy.typing import NDArray
from PIL import Image
from pillow_jxl import JpegXLImagePlugin
_PIL_RESAMPLING_METHODS = {resampling.name.lower(): resampling for resampling in Image.Resampling}
_PUNCTUATION_TRANS = str.maketrans("", "", string.punctuation)
# Requests are already decoded in parallel, so don't start a thread per core for each one
JpegXLImagePlugin.DECODE_THREADS = 0
def resize_pil(img: Image.Image, size: int, resample: Image.Resampling = Image.Resampling.BICUBIC) -> Image.Image:
if img.width < img.height:
machine-learning/pyproject.toml
+1
View File
@@ -15,6 +15,7 @@ dependencies = [
"opencv-python-headless>=4.7.0.72,<5.0",
"orjson>=3.9.5",
"pillow>=13,<14",
"pillow-jxl-plugin>=1.3.8,<2.0",
"pydantic>=2.0.0,<3",
"pydantic-settings>=2.5.2,<3",
"python-multipart>=0.0.6,<1.0",
machine-learning/uv.lock
Generated
+50
View File
@@ -842,6 +842,7 @@ dependencies = [
{ name = "opencv-python-headless" },
{ name = "orjson" },
{ name = "pillow" },
{ name = "pillow-jxl-plugin" },
{ name = "pydantic" },
{ name = "pydantic-settings" },
{ name = "python-multipart" },
@@ -936,6 +937,7 @@ requires-dist = [
{ name = "opencv-python-headless", specifier = ">=4.7.0.72,<5.0" },
{ name = "orjson", specifier = ">=3.9.5" },
{ name = "pillow", specifier = ">=13,<14" },
{ name = "pillow-jxl-plugin", specifier = ">=1.3.8,<2.0" },
{ name = "pydantic", specifier = ">=2.0.0,<3" },
{ name = "pydantic-settings", specifier = ">=2.5.2,<3" },
{ name = "python-multipart", specifier = ">=0.0.6,<1.0" },
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