chore(ml): installable package (#17153)

* app -> immich_ml

* fix test ci

* omit file name

* add new line

* add new line

.github/workflows/test.yml

@@ -395,16 +395,16 @@ jobs:
           uv sync --extra cpu
       - name: Lint with ruff
         run: |
-          uv run ruff check --output-format=github app
+          uv run ruff check --output-format=github immich_ml
       - name: Check black formatting
         run: |
-          uv run black --check app
+          uv run black --check immich_ml
       - name: Run mypy type checking
         run: |
-          uv run mypy --strict app/
+          uv run mypy --strict immich_ml/
       - name: Run tests and coverage
         run: |
-          uv run pytest app --cov=app --cov-report term-missing
+          uv run pytest --cov=immich_ml --cov-report term-missing
 
   github-files-formatting:
     name: .github Files Formatting

machine-learning/Dockerfile

@@ -51,7 +51,6 @@ ARG DEVICE
 ENV PYTHONDONTWRITEBYTECODE=1 \
     PYTHONUNBUFFERED=1 \
     VIRTUAL_ENV=/opt/venv
-WORKDIR /usr/src/app
 
 RUN apt-get update && apt-get install -y --no-install-recommends g++
 
@@ -66,6 +65,8 @@ RUN if [ "$DEVICE" = "rocm" ]; then \
 
 FROM python:3.11-slim-bookworm@sha256:7029b00486ac40bed03e36775b864d3f3d39dcbdf19cd45e6a52d541e6c178f0 AS prod-cpu
 
+ENV LD_PRELOAD=/usr/lib/libmimalloc.so.2
+
 FROM prod-cpu AS prod-openvino
 
 RUN apt-get update && \
@@ -94,7 +95,8 @@ FROM rocm/dev-ubuntu-22.04:6.3.4-complete@sha256:1f7e92ca7e3a3785680473329ed1091
 
 FROM prod-cpu AS prod-armnn
 
-ENV LD_LIBRARY_PATH=/opt/armnn
+ENV LD_LIBRARY_PATH=/opt/armnn \
+    LD_PRELOAD=/usr/lib/libmimalloc.so.2
 
 RUN apt-get update && apt-get install -y --no-install-recommends ocl-icd-libopencl1 mesa-opencl-icd libgomp1 && \
     rm -rf /var/lib/apt/lists/* && \
@@ -114,6 +116,8 @@ COPY --from=builder-armnn \
 
 FROM prod-cpu AS prod-rknn
 
+ENV LD_PRELOAD=/usr/lib/libmimalloc.so.2
+
 ADD --checksum=sha256:73993ed4b440460825f21611731564503cc1d5a0c123746477da6cd574f34885 https://github.com/airockchip/rknn-toolkit2/raw/refs/tags/v2.3.0/rknpu2/runtime/Linux/librknn_api/aarch64/librknnrt.so /usr/lib/
 
 FROM prod-${DEVICE} AS prod
@@ -126,14 +130,18 @@ RUN apt-get update && \
     apt-get clean && \
     rm -rf /var/lib/apt/lists/*
 
-WORKDIR /usr/src/app
+RUN ln -s "/usr/lib/$(arch)-linux-gnu/libmimalloc.so.2" /usr/lib/libmimalloc.so.2
+
+WORKDIR /usr/src
 ENV TRANSFORMERS_CACHE=/cache \
     PYTHONDONTWRITEBYTECODE=1 \
     PYTHONUNBUFFERED=1 \
     PATH="/opt/venv/bin:$PATH" \
     PYTHONPATH=/usr/src \
     DEVICE=${DEVICE} \
-    VIRTUAL_ENV=/opt/venv
+    VIRTUAL_ENV=/opt/venv \
+    LD_BIND_NOW=1 \
+    MACHINE_LEARNING_CACHE_FOLDER=/cache
 
 # prevent core dumps
 RUN echo "hard core 0" >> /etc/security/limits.conf && \
@@ -141,9 +149,7 @@ RUN echo "hard core 0" >> /etc/security/limits.conf && \
     echo 'ulimit -S -c 0 > /dev/null 2>&1' >> /etc/profile
 
 COPY --from=builder /opt/venv /opt/venv
-COPY ann/ann.py /usr/src/ann/ann.py
+COPY immich_ml immich_ml
-COPY start.sh log_conf.json gunicorn_conf.py ./
-COPY app .
 
 ARG BUILD_ID
 ARG BUILD_IMAGE
@@ -161,6 +167,6 @@ ENV IMMICH_SOURCE_COMMIT=${BUILD_SOURCE_COMMIT}
 ENV IMMICH_SOURCE_URL=https://github.com/immich-app/immich/commit/${BUILD_SOURCE_COMMIT}
 
 ENTRYPOINT ["tini", "--"]
-CMD ["./start.sh"]
+CMD ["python", "-m", "immich_ml"]
 
-HEALTHCHECK CMD python3 healthcheck.py
+HEALTHCHECK CMD python3 healthcheck.py

machine-learning/conftest.py

@@ -8,9 +8,8 @@ from fastapi.testclient import TestClient
 from numpy.typing import NDArray
 from PIL import Image
 
-from app.config import log
+from immich_ml.config import log
-
+from immich_ml.main import app
-from .main import app
 
 
 @pytest.fixture
@@ -25,7 +24,7 @@ def cv_image(pil_image: Image.Image) -> NDArray[np.float32]:
 
 @pytest.fixture
 def mock_get_model() -> Iterator[mock.Mock]:
-    with mock.patch("app.models.cache.from_model_type", autospec=True) as mocked:
+    with mock.patch("immich_ml.models.cache.from_model_type", autospec=True) as mocked:
         yield mocked
 
 
@@ -104,14 +103,14 @@ def providers(request: pytest.FixtureRequest) -> Iterator[mock.Mock]:
         raise ValueError("Missing marker 'providers'")
 
     providers = marker.args[0]
-    with mock.patch("app.sessions.ort.ort.get_available_providers") as mocked:
+    with mock.patch("immich_ml.sessions.ort.ort.get_available_providers") as mocked:
         mocked.return_value = providers
         yield providers
 
 
 @pytest.fixture(scope="function")
 def ort_pybind() -> Iterator[mock.Mock]:
-    with mock.patch("app.sessions.ort.ort.capi._pybind_state") as mocked:
+    with mock.patch("immich_ml.sessions.ort.ort.capi._pybind_state") as mocked:
         yield mocked
 
 
@@ -126,25 +125,25 @@ def ov_device_ids(request: pytest.FixtureRequest, ort_pybind: mock.Mock) -> Iter
 
 @pytest.fixture(scope="function")
 def ort_session() -> Iterator[mock.Mock]:
-    with mock.patch("app.sessions.ort.ort.InferenceSession") as mocked:
+    with mock.patch("immich_ml.sessions.ort.ort.InferenceSession") as mocked:
         yield mocked
 
 
 @pytest.fixture(scope="function")
 def ann_session() -> Iterator[mock.Mock]:
-    with mock.patch("app.sessions.ann.Ann") as mocked:
+    with mock.patch("immich_ml.sessions.ann.Ann") as mocked:
         yield mocked
 
 
 @pytest.fixture(scope="function")
 def rknn_session() -> Iterator[mock.Mock]:
-    with mock.patch("app.sessions.rknn.RknnPoolExecutor") as mocked:
+    with mock.patch("immich_ml.sessions.rknn.RknnPoolExecutor") as mocked:
         yield mocked
 
 
 @pytest.fixture(scope="function")
 def rmtree() -> Iterator[mock.Mock]:
-    with mock.patch("app.models.base.rmtree", autospec=True) as mocked:
+    with mock.patch("immich_ml.models.base.rmtree", autospec=True) as mocked:
         mocked.avoids_symlink_attacks = True
         yield mocked
 
@@ -158,7 +157,7 @@ def path() -> Iterator[mock.Mock]:
     path.with_suffix.return_value = path
     path.return_value = path
 
-    with mock.patch("app.models.base.Path", return_value=path) as mocked:
+    with mock.patch("immich_ml.models.base.Path", return_value=path) as mocked:
         yield mocked
 
 
@@ -182,5 +181,5 @@ def exception() -> Iterator[mock.Mock]:
 
 @pytest.fixture(scope="function")
 def snapshot_download() -> Iterator[mock.Mock]:
-    with mock.patch("app.models.base.snapshot_download") as mocked:
+    with mock.patch("immich_ml.models.base.snapshot_download") as mocked:
         yield mocked

machine-learning/immich_ml/__main__.py

@@ -0,0 +1,43 @@
+import os
+import signal
+import subprocess
+from pathlib import Path
+
+from .config import log, non_prefixed_settings, settings
+
+if source_ref := os.getenv("IMMICH_SOURCE_REF"):
+    log.info(f"Initializing Immich ML [{source_ref}]")
+else:
+    log.info("Initializing Immich ML")
+
+module_dir = Path(__file__).parent
+
+try:
+    with subprocess.Popen(
+        [
+            "python",
+            "-m",
+            "gunicorn",
+            "immich_ml.main:app",
+            "-k",
+            "immich_ml.config.CustomUvicornWorker",
+            "-c",
+            module_dir / "gunicorn_conf.py",
+            "-b",
+            f"{non_prefixed_settings.immich_host}:{non_prefixed_settings.immich_port}",
+            "-w",
+            str(settings.workers),
+            "-t",
+            str(settings.worker_timeout),
+            "--log-config-json",
+            module_dir / "log_conf.json",
+            "--keep-alive",
+            str(settings.http_keepalive_timeout_s),
+            "--graceful-timeout",
+            "10",
+        ],
+    ) as cmd:
+        cmd.wait()
+except KeyboardInterrupt:
+    cmd.send_signal(signal.SIGINT)
+exit(cmd.returncode)

machine-learning/immich_ml/config.py

@@ -51,12 +51,12 @@ class Settings(BaseSettings):
         protected_namespaces=("settings_",),
     )
 
-    cache_folder: Path = Path("/cache")
+    cache_folder: Path = (Path.home() / ".cache" / "immich_ml").resolve()
     model_ttl: int = 300
     model_ttl_poll_s: int = 10
-    host: str = "0.0.0.0"
-    port: int = 3003
     workers: int = 1
+    worker_timeout: int = 300
+    http_keepalive_timeout_s: int = 2
     test_full: bool = False
     request_threads: int = os.cpu_count() or 4
     model_inter_op_threads: int = 0
@@ -74,9 +74,11 @@ class Settings(BaseSettings):
         return os.environ.get("MACHINE_LEARNING_DEVICE_ID", "0")
 
 
-class LogSettings(BaseSettings):
+class NonPrefixedSettings(BaseSettings):
     model_config = SettingsConfigDict(case_sensitive=False)
 
+    immich_host: str = "[::]"
+    immich_port: int = 3003
     immich_log_level: str = "info"
     no_color: bool = False
 
@@ -100,14 +102,14 @@ LOG_LEVELS: dict[str, int] = {
 }
 
 settings = Settings()
-log_settings = LogSettings()
+non_prefixed_settings = NonPrefixedSettings()
 
-LOG_LEVEL = LOG_LEVELS.get(log_settings.immich_log_level.lower(), logging.INFO)
+LOG_LEVEL = LOG_LEVELS.get(non_prefixed_settings.immich_log_level.lower(), logging.INFO)
 
 
 class CustomRichHandler(RichHandler):
     def __init__(self) -> None:
-        console = Console(color_system="standard", no_color=log_settings.no_color)
+        console = Console(color_system="standard", no_color=non_prefixed_settings.no_color)
         self.excluded = ["uvicorn", "starlette", "fastapi"]
         super().__init__(
             show_path=False,

machine-learning/immich_ml/log_conf.json

@@ -0,0 +1,21 @@
+{
+  "version": 1,
+  "disable_existing_loggers": false,
+  "handlers": {
+    "console": {
+      "class": "immich_ml.config.CustomRichHandler"
+    }
+  },
+  "loggers": {
+    "gunicorn.error": {
+      "handlers": [
+        "console"
+      ]
+    }
+  },
+  "root": {
+    "handlers": [
+      "console"
+    ]
+  }
+}

machine-learning/immich_ml/main.py

@@ -18,9 +18,9 @@ from PIL.Image import Image
 from pydantic import ValidationError
 from starlette.formparsers import MultiPartParser
 
-from app.models import get_model_deps
+from immich_ml.models import get_model_deps
-from app.models.base import InferenceModel
+from immich_ml.models.base import InferenceModel
-from app.models.transforms import decode_pil
+from immich_ml.models.transforms import decode_pil
 
 from .config import PreloadModelData, log, settings
 from .models.cache import ModelCache

machine-learning/immich_ml/models/__init__.py

@@ -1,9 +1,9 @@
 from typing import Any
 
-from app.models.base import InferenceModel
+from immich_ml.models.base import InferenceModel
-from app.models.clip.textual import MClipTextualEncoder, OpenClipTextualEncoder
+from immich_ml.models.clip.textual import MClipTextualEncoder, OpenClipTextualEncoder
-from app.models.clip.visual import OpenClipVisualEncoder
+from immich_ml.models.clip.visual import OpenClipVisualEncoder
-from app.schemas import ModelSource, ModelTask, ModelType
+from immich_ml.schemas import ModelSource, ModelTask, ModelType
 
 from .constants import get_model_source
 from .facial_recognition.detection import FaceDetector

machine-learning/immich_ml/models/base.py

@@ -7,9 +7,9 @@ from typing import Any, ClassVar
 
 from huggingface_hub import snapshot_download
 
-import ann.ann
+import immich_ml.sessions.ann.loader
-import app.sessions.rknn as rknn
+import immich_ml.sessions.rknn as rknn
-from app.sessions.ort import OrtSession
+from immich_ml.sessions.ort import OrtSession
 
 from ..config import clean_name, log, settings
 from ..schemas import ModelFormat, ModelIdentity, ModelSession, ModelTask, ModelType
@@ -171,7 +171,7 @@ class InferenceModel(ABC):
     def _model_format_default(self) -> ModelFormat:
         if rknn.is_available:
             return ModelFormat.RKNN
-        elif ann.ann.is_available and settings.ann:
+        elif immich_ml.sessions.ann.loader.is_available and settings.ann:
             return ModelFormat.ARMNN
         else:
             return ModelFormat.ONNX

machine-learning/immich_ml/models/cache.py

@@ -4,8 +4,8 @@ from aiocache.backends.memory import SimpleMemoryCache
 from aiocache.lock import OptimisticLock
 from aiocache.plugins import TimingPlugin
 
-from app.models import from_model_type
+from immich_ml.models import from_model_type
-from app.models.base import InferenceModel
+from immich_ml.models.base import InferenceModel
 
 from ..schemas import ModelTask, ModelType, has_profiling
 

machine-learning/immich_ml/models/clip/textual.py

@@ -8,10 +8,10 @@ import numpy as np
 from numpy.typing import NDArray
 from tokenizers import Encoding, Tokenizer
 
-from app.config import log
+from immich_ml.config import log
-from app.models.base import InferenceModel
+from immich_ml.models.base import InferenceModel
-from app.models.transforms import clean_text, serialize_np_array
+from immich_ml.models.transforms import clean_text, serialize_np_array
-from app.schemas import ModelSession, ModelTask, ModelType
+from immich_ml.schemas import ModelSession, ModelTask, ModelType
 
 
 class BaseCLIPTextualEncoder(InferenceModel):

machine-learning/immich_ml/models/clip/visual.py

@@ -8,9 +8,9 @@ import numpy as np
 from numpy.typing import NDArray
 from PIL import Image
 
-from app.config import log
+from immich_ml.config import log
-from app.models.base import InferenceModel
+from immich_ml.models.base import InferenceModel
-from app.models.transforms import (
+from immich_ml.models.transforms import (
     crop_pil,
     decode_pil,
     get_pil_resampling,
@@ -19,7 +19,7 @@ from app.models.transforms import (
     serialize_np_array,
     to_numpy,
 )
-from app.schemas import ModelSession, ModelTask, ModelType
+from immich_ml.schemas import ModelSession, ModelTask, ModelType
 
 
 class BaseCLIPVisualEncoder(InferenceModel):

machine-learning/immich_ml/models/constants.py

@@ -1,5 +1,5 @@
-from app.config import clean_name
+from immich_ml.config import clean_name
-from app.schemas import ModelSource
+from immich_ml.schemas import ModelSource
 
 _OPENCLIP_MODELS = {
     "RN101__openai",

machine-learning/immich_ml/models/facial_recognition/detection.py

@@ -4,9 +4,9 @@ import numpy as np
 from insightface.model_zoo import RetinaFace
 from numpy.typing import NDArray
 
-from app.models.base import InferenceModel
+from immich_ml.models.base import InferenceModel
-from app.models.transforms import decode_cv2
+from immich_ml.models.transforms import decode_cv2
-from app.schemas import FaceDetectionOutput, ModelSession, ModelTask, ModelType
+from immich_ml.schemas import FaceDetectionOutput, ModelSession, ModelTask, ModelType
 
 
 class FaceDetector(InferenceModel):

machine-learning/immich_ml/models/facial_recognition/recognition.py

@@ -10,10 +10,17 @@ from numpy.typing import NDArray
 from onnx.tools.update_model_dims import update_inputs_outputs_dims
 from PIL import Image
 
-from app.config import log, settings
+from immich_ml.config import log, settings
-from app.models.base import InferenceModel
+from immich_ml.models.base import InferenceModel
-from app.models.transforms import decode_cv2, serialize_np_array
+from immich_ml.models.transforms import decode_cv2, serialize_np_array
-from app.schemas import FaceDetectionOutput, FacialRecognitionOutput, ModelFormat, ModelSession, ModelTask, ModelType
+from immich_ml.schemas import (
+    FaceDetectionOutput,
+    FacialRecognitionOutput,
+    ModelFormat,
+    ModelSession,
+    ModelTask,
+    ModelType,
+)
 
 
 class FaceRecognizer(InferenceModel):

machine-learning/immich_ml/sessions/ann/__init__.py

@@ -6,10 +6,10 @@ from typing import Any, NamedTuple
 import numpy as np
 from numpy.typing import NDArray
 
-from ann.ann import Ann
+from immich_ml.config import log, settings
-from app.schemas import SessionNode
+from immich_ml.schemas import SessionNode
 
-from ..config import log, settings
+from .loader import Ann
 
 
 class AnnSession:

machine-learning/immich_ml/sessions/ann/loader.py

@@ -7,7 +7,7 @@ from typing import Any, Protocol, TypeVar
 import numpy as np
 from numpy.typing import NDArray
 
-from app.config import log
+from immich_ml.config import log
 
 try:
     CDLL("libmali.so")  # fail if libmali.so is not mounted into container

machine-learning/immich_ml/sessions/ort.py

@@ -7,8 +7,8 @@ import numpy as np
 import onnxruntime as ort
 from numpy.typing import NDArray
 
-from app.models.constants import SUPPORTED_PROVIDERS
+from immich_ml.models.constants import SUPPORTED_PROVIDERS
-from app.schemas import SessionNode
+from immich_ml.schemas import SessionNode
 
 from ..config import log, settings
 

machine-learning/immich_ml/sessions/rknn/__init__.py

@@ -6,8 +6,8 @@ from typing import Any, NamedTuple
 import numpy as np
 from numpy.typing import NDArray
 
-from app.config import log, settings
+from immich_ml.config import log, settings
-from app.schemas import SessionNode
+from immich_ml.schemas import SessionNode
 
 from .rknnpool import RknnPoolExecutor, is_available, soc_name
 

machine-learning/immich_ml/sessions/rknn/rknnpool.py

@@ -10,8 +10,8 @@ from typing import Callable
 import numpy as np
 from numpy.typing import NDArray
 
-from app.config import log
+from immich_ml.config import log
-from app.models.constants import RKNN_COREMASK_SUPPORTED_SOCS, RKNN_SUPPORTED_SOCS
+from immich_ml.models.constants import RKNN_COREMASK_SUPPORTED_SOCS, RKNN_SUPPORTED_SOCS
 
 
 def get_soc(device_tree_path: Path | str) -> str | None:

machine-learning/log_conf.json

@@ -1,15 +0,0 @@
-{
-  "version": 1,
-  "disable_existing_loggers": false,
-  "handlers": {
-    "console": {
-      "class": "app.config.CustomRichHandler"
-    }
-  },
-  "loggers": {
-    "gunicorn.error": {
-      "handlers": ["console"]
-    }
-  },
-  "root": { "handlers": ["console"] }
-}

machine-learning/pyproject.toml

@@ -1,5 +1,5 @@
 [project]
-name = "machine-learning"
+name = "immich-ml"
 version = "1.129.0"
 description = ""
 authors = [{ name = "Hau Tran", email = "alex.tran1502@gmail.com" }]
@@ -66,10 +66,10 @@ explicit = true
 onnxruntime-gpu = { index = "cuda12" }
 
 [tool.hatch.build.targets.sdist]
-include = ["app"]
+include = ["immich_ml"]
 
 [tool.hatch.build.targets.wheel]
-include = ["app"]
+include = ["immich_ml"]
 
 [build-system]
 requires = ["hatchling"]

machine-learning/start.sh

@@ -1,31 +0,0 @@
-#!/usr/bin/env sh
-
-echo "Initializing Immich ML $IMMICH_SOURCE_REF"
-
-if ! [ "$DEVICE" = "openvino" ]; then
-	: "${MACHINE_LEARNING_WORKER_TIMEOUT:=120}"
-else
-	: "${MACHINE_LEARNING_WORKER_TIMEOUT:=300}"
-fi
-
-# mimalloc seems to increase memory usage dramatically with openvino, need to investigate
-if ! [ "$DEVICE" = "openvino" ] && ! [ "$DEVICE" = "rocm" ]; then
-	lib_path="/usr/lib/$(arch)-linux-gnu/libmimalloc.so.2"
-	export LD_PRELOAD="$lib_path"
-	export LD_BIND_NOW=1
-fi
-
-: "${IMMICH_HOST:=[::]}"
-: "${IMMICH_PORT:=3003}"
-: "${MACHINE_LEARNING_WORKERS:=1}"
-: "${MACHINE_LEARNING_HTTP_KEEPALIVE_TIMEOUT_S:=2}"
-
-gunicorn app.main:app \
-	-k app.config.CustomUvicornWorker \
-	-c gunicorn_conf.py \
-	-b "$IMMICH_HOST":"$IMMICH_PORT" \
-	-w "$MACHINE_LEARNING_WORKERS" \
-	-t "$MACHINE_LEARNING_WORKER_TIMEOUT" \
-	--log-config-json log_conf.json \
-	--keep-alive "$MACHINE_LEARNING_HTTP_KEEPALIVE_TIMEOUT_S" \
-	--graceful-timeout 0

machine-learning/test_main.py

@@ -18,19 +18,18 @@ from PIL import Image
 from pytest import MonkeyPatch
 from pytest_mock import MockerFixture
 
-from app.main import load, preload_models
+from immich_ml.config import Settings, settings
-from app.models.clip.textual import MClipTextualEncoder, OpenClipTextualEncoder
+from immich_ml.main import load, preload_models
-from app.models.clip.visual import OpenClipVisualEncoder
+from immich_ml.models.base import InferenceModel
-from app.models.facial_recognition.detection import FaceDetector
+from immich_ml.models.cache import ModelCache
-from app.models.facial_recognition.recognition import FaceRecognizer
+from immich_ml.models.clip.textual import MClipTextualEncoder, OpenClipTextualEncoder
-from app.sessions.ann import AnnSession
+from immich_ml.models.clip.visual import OpenClipVisualEncoder
-from app.sessions.ort import OrtSession
+from immich_ml.models.facial_recognition.detection import FaceDetector
-from app.sessions.rknn import RknnSession, run_inference
+from immich_ml.models.facial_recognition.recognition import FaceRecognizer
-
+from immich_ml.schemas import ModelFormat, ModelTask, ModelType
-from .config import Settings, settings
+from immich_ml.sessions.ann import AnnSession
-from .models.base import InferenceModel
+from immich_ml.sessions.ort import OrtSession
-from .models.cache import ModelCache
+from immich_ml.sessions.rknn import RknnSession, run_inference
-from .schemas import ModelFormat, ModelTask, ModelType
 
 
 class TestBase:
@@ -47,7 +46,7 @@ class TestBase:
 
     def test_sets_default_model_format(self, mocker: MockerFixture) -> None:
         mocker.patch.object(settings, "ann", True)
-        mocker.patch("ann.ann.is_available", False)
+        mocker.patch("immich_ml.sessions.ann.loader.is_available", False)
 
         encoder = OpenClipTextualEncoder("ViT-B-32__openai")
 
@@ -55,7 +54,7 @@ class TestBase:
 
     def test_sets_default_model_format_to_armnn_if_available(self, path: mock.Mock, mocker: MockerFixture) -> None:
         mocker.patch.object(settings, "ann", True)
-        mocker.patch("ann.ann.is_available", True)
+        mocker.patch("immich_ml.sessions.ann.loader.is_available", True)
         path.suffix = ".armnn"
 
         encoder = OpenClipTextualEncoder("ViT-B-32__openai", cache_dir=path)
@@ -64,7 +63,7 @@ class TestBase:
 
     def test_sets_model_format_kwarg(self, mocker: MockerFixture) -> None:
         mocker.patch.object(settings, "ann", False)
-        mocker.patch("ann.ann.is_available", False)
+        mocker.patch("immich_ml.sessions.ann.loader.is_available", False)
 
         encoder = OpenClipTextualEncoder("ViT-B-32__openai", model_format=ModelFormat.ARMNN)
 
@@ -72,7 +71,7 @@ class TestBase:
 
     def test_sets_default_model_format_to_rknn_if_available(self, mocker: MockerFixture) -> None:
         mocker.patch.object(settings, "rknn", True)
-        mocker.patch("app.sessions.rknn.is_available", True)
+        mocker.patch("immich_ml.sessions.rknn.is_available", True)
 
         encoder = OpenClipTextualEncoder("ViT-B-32__openai")
 
@@ -294,7 +293,7 @@ class TestOrtSession:
         assert session.sess_options.intra_op_num_threads == 0
 
     def test_sets_default_sess_options_sets_threads_if_non_cpu_and_set_threads(self, mocker: MockerFixture) -> None:
-        mock_settings = mocker.patch("app.sessions.ort.settings", autospec=True)
+        mock_settings = mocker.patch("immich_ml.sessions.ort.settings", autospec=True)
         mock_settings.model_inter_op_threads = 2
         mock_settings.model_intra_op_threads = 4
 
@@ -373,8 +372,8 @@ class TestRknnSession:
     def test_creates_rknn_session(self, rknn_session: mock.Mock, info: mock.Mock, mocker: MockerFixture) -> None:
         model_path = mock.MagicMock(spec=Path)
         tpe = 1
-        mocker.patch("app.sessions.rknn.soc_name", "rk3566")
+        mocker.patch("immich_ml.sessions.rknn.soc_name", "rk3566")
-        mocker.patch("app.sessions.rknn.is_available", True)
+        mocker.patch("immich_ml.sessions.rknn.is_available", True)
         RknnSession(model_path)
 
         rknn_session.assert_called_once_with(model_path=model_path.as_posix(), tpes=tpe, func=run_inference)
@@ -384,7 +383,7 @@ class TestRknnSession:
     def test_run_rknn(self, rknn_session: mock.Mock, mocker: MockerFixture) -> None:
         rknn_session.return_value.load.return_value = 123
         np_spy = mocker.spy(np, "ascontiguousarray")
-        mocker.patch("app.sessions.rknn.soc_name", "rk3566")
+        mocker.patch("immich_ml.sessions.rknn.soc_name", "rk3566")
         session = RknnSession(Path("ViT-B-32__openai"))
         [input1, input2] = [np.random.rand(1, 3, 224, 224).astype(np.float32) for _ in range(2)]
         input_feed = {"input.1": input1, "input.2": input2}
@@ -434,7 +433,7 @@ class TestCLIP:
 
         mocked = mocker.patch.object(InferenceModel, "_make_session", autospec=True).return_value
         mocked.run.return_value = [[self.embedding]]
-        mocker.patch("app.models.clip.textual.Tokenizer.from_file", autospec=True)
+        mocker.patch("immich_ml.models.clip.textual.Tokenizer.from_file", autospec=True)
 
         clip_encoder = OpenClipTextualEncoder("ViT-B-32__openai", cache_dir="test_cache")
         embedding_str = clip_encoder.predict("test search query")
@@ -454,7 +453,7 @@ class TestCLIP:
         mocker.patch.object(OpenClipTextualEncoder, "model_cfg", clip_model_cfg)
         mocker.patch.object(OpenClipTextualEncoder, "tokenizer_cfg", clip_tokenizer_cfg)
         mocker.patch.object(InferenceModel, "_make_session", autospec=True).return_value
-        mock_tokenizer = mocker.patch("app.models.clip.textual.Tokenizer.from_file", autospec=True).return_value
+        mock_tokenizer = mocker.patch("immich_ml.models.clip.textual.Tokenizer.from_file", autospec=True).return_value
         mock_ids = [randint(0, 50000) for _ in range(77)]
         mock_tokenizer.encode.return_value = SimpleNamespace(ids=mock_ids)
 
@@ -480,7 +479,7 @@ class TestCLIP:
         mocker.patch.object(OpenClipTextualEncoder, "model_cfg", clip_model_cfg)
         mocker.patch.object(OpenClipTextualEncoder, "tokenizer_cfg", clip_tokenizer_cfg)
         mocker.patch.object(InferenceModel, "_make_session", autospec=True).return_value
-        mock_tokenizer = mocker.patch("app.models.clip.textual.Tokenizer.from_file", autospec=True).return_value
+        mock_tokenizer = mocker.patch("immich_ml.models.clip.textual.Tokenizer.from_file", autospec=True).return_value
         mock_ids = [randint(0, 50000) for _ in range(77)]
         mock_tokenizer.encode.return_value = SimpleNamespace(ids=mock_ids)
 
@@ -505,7 +504,7 @@ class TestCLIP:
         mocker.patch.object(MClipTextualEncoder, "model_cfg", clip_model_cfg)
         mocker.patch.object(MClipTextualEncoder, "tokenizer_cfg", clip_tokenizer_cfg)
         mocker.patch.object(InferenceModel, "_make_session", autospec=True).return_value
-        mock_tokenizer = mocker.patch("app.models.clip.textual.Tokenizer.from_file", autospec=True).return_value
+        mock_tokenizer = mocker.patch("immich_ml.models.clip.textual.Tokenizer.from_file", autospec=True).return_value
         mock_ids = [randint(0, 50000) for _ in range(77)]
         mock_attention_mask = [randint(0, 1) for _ in range(77)]
         mock_tokenizer.encode.return_value = SimpleNamespace(ids=mock_ids, attention_mask=mock_attention_mask)
@@ -597,12 +596,12 @@ class TestFaceRecognition:
     def test_recognition_adds_batch_axis_for_ort(
         self, ort_session: mock.Mock, path: mock.Mock, mocker: MockerFixture
     ) -> None:
-        onnx = mocker.patch("app.models.facial_recognition.recognition.onnx", autospec=True)
+        onnx = mocker.patch("immich_ml.models.facial_recognition.recognition.onnx", autospec=True)
         update_dims = mocker.patch(
-            "app.models.facial_recognition.recognition.update_inputs_outputs_dims", autospec=True
+            "immich_ml.models.facial_recognition.recognition.update_inputs_outputs_dims", autospec=True
         )
-        mocker.patch("app.models.base.InferenceModel.download")
+        mocker.patch("immich_ml.models.base.InferenceModel.download")
-        mocker.patch("app.models.facial_recognition.recognition.ArcFaceONNX")
+        mocker.patch("immich_ml.models.facial_recognition.recognition.ArcFaceONNX")
         ort_session.return_value.get_inputs.return_value = [SimpleNamespace(name="input.1", shape=(1, 3, 224, 224))]
         ort_session.return_value.get_outputs.return_value = [SimpleNamespace(name="output.1", shape=(1, 800))]
         path.return_value.__truediv__.return_value.__truediv__.return_value.suffix = ".onnx"
@@ -631,12 +630,12 @@ class TestFaceRecognition:
     def test_recognition_does_not_add_batch_axis_if_exists(
         self, ort_session: mock.Mock, path: mock.Mock, mocker: MockerFixture
     ) -> None:
-        onnx = mocker.patch("app.models.facial_recognition.recognition.onnx", autospec=True)
+        onnx = mocker.patch("immich_ml.models.facial_recognition.recognition.onnx", autospec=True)
         update_dims = mocker.patch(
-            "app.models.facial_recognition.recognition.update_inputs_outputs_dims", autospec=True
+            "immich_ml.models.facial_recognition.recognition.update_inputs_outputs_dims", autospec=True
         )
-        mocker.patch("app.models.base.InferenceModel.download")
+        mocker.patch("immich_ml.models.base.InferenceModel.download")
-        mocker.patch("app.models.facial_recognition.recognition.ArcFaceONNX")
+        mocker.patch("immich_ml.models.facial_recognition.recognition.ArcFaceONNX")
         path.return_value.__truediv__.return_value.__truediv__.return_value.suffix = ".onnx"
 
         inputs = [SimpleNamespace(name="input.1", shape=("batch", 3, 224, 224))]
@@ -655,12 +654,12 @@ class TestFaceRecognition:
     def test_recognition_does_not_add_batch_axis_for_armnn(
         self, ann_session: mock.Mock, path: mock.Mock, mocker: MockerFixture
     ) -> None:
-        onnx = mocker.patch("app.models.facial_recognition.recognition.onnx", autospec=True)
+        onnx = mocker.patch("immich_ml.models.facial_recognition.recognition.onnx", autospec=True)
         update_dims = mocker.patch(
-            "app.models.facial_recognition.recognition.update_inputs_outputs_dims", autospec=True
+            "immich_ml.models.facial_recognition.recognition.update_inputs_outputs_dims", autospec=True
         )
-        mocker.patch("app.models.base.InferenceModel.download")
+        mocker.patch("immich_ml.models.base.InferenceModel.download")
-        mocker.patch("app.models.facial_recognition.recognition.ArcFaceONNX")
+        mocker.patch("immich_ml.models.facial_recognition.recognition.ArcFaceONNX")
         path.return_value.__truediv__.return_value.__truediv__.return_value.suffix = ".armnn"
 
         inputs = [SimpleNamespace(name="input.1", shape=("batch", 3, 224, 224))]
@@ -679,12 +678,12 @@ class TestFaceRecognition:
     def test_recognition_does_not_add_batch_axis_for_openvino(
         self, ort_session: mock.Mock, path: mock.Mock, mocker: MockerFixture
     ) -> None:
-        onnx = mocker.patch("app.models.facial_recognition.recognition.onnx", autospec=True)
+        onnx = mocker.patch("immich_ml.models.facial_recognition.recognition.onnx", autospec=True)
         update_dims = mocker.patch(
-            "app.models.facial_recognition.recognition.update_inputs_outputs_dims", autospec=True
+            "immich_ml.models.facial_recognition.recognition.update_inputs_outputs_dims", autospec=True
         )
-        mocker.patch("app.models.base.InferenceModel.download")
+        mocker.patch("immich_ml.models.base.InferenceModel.download")
-        mocker.patch("app.models.facial_recognition.recognition.ArcFaceONNX")
+        mocker.patch("immich_ml.models.facial_recognition.recognition.ArcFaceONNX")
         path.return_value.__truediv__.return_value.__truediv__.return_value.suffix = ".onnx"
 
         inputs = [SimpleNamespace(name="input.1", shape=("batch", 3, 224, 224))]
@@ -733,13 +732,13 @@ class TestCache:
         )
         assert len(model_cache.cache._cache) == 2
 
-    @mock.patch("app.models.cache.OptimisticLock", autospec=True)
+    @mock.patch("immich_ml.models.cache.OptimisticLock", autospec=True)
     async def test_model_ttl(self, mock_lock_cls: mock.Mock, mock_get_model: mock.Mock) -> None:
         model_cache = ModelCache()
         await model_cache.get("test_model_name", ModelType.RECOGNITION, ModelTask.FACIAL_RECOGNITION, ttl=100)
         mock_lock_cls.return_value.__aenter__.return_value.cas.assert_called_with(mock.ANY, ttl=100)
 
-    @mock.patch("app.models.cache.SimpleMemoryCache.expire")
+    @mock.patch("immich_ml.models.cache.SimpleMemoryCache.expire")
     async def test_revalidate_get(self, mock_cache_expire: mock.Mock, mock_get_model: mock.Mock) -> None:
         model_cache = ModelCache(revalidate=True)
         await model_cache.get("test_model_name", ModelType.RECOGNITION, ModelTask.FACIAL_RECOGNITION, ttl=100)
@@ -784,7 +783,7 @@ class TestCache:
         assert settings.preload.clip.visual == "ViT-B-32__openai"
 
         model_cache = ModelCache()
-        monkeypatch.setattr("app.main.model_cache", model_cache)
+        monkeypatch.setattr("immich_ml.main.model_cache", model_cache)
 
         await preload_models(settings.preload)
         mock_get_model.assert_has_calls(
@@ -807,7 +806,7 @@ class TestCache:
         assert settings.preload.facial_recognition.recognition == "buffalo_s"
 
         model_cache = ModelCache()
-        monkeypatch.setattr("app.main.model_cache", model_cache)
+        monkeypatch.setattr("immich_ml.main.model_cache", model_cache)
 
         await preload_models(settings.preload)
         mock_get_model.assert_has_calls(
@@ -832,7 +831,7 @@ class TestCache:
         assert settings.preload.facial_recognition.detection == "buffalo_s"
 
         model_cache = ModelCache()
-        monkeypatch.setattr("app.main.model_cache", model_cache)
+        monkeypatch.setattr("immich_ml.main.model_cache", model_cache)
 
         await preload_models(settings.preload)
         mock_get_model.assert_has_calls(

machine-learning/uv.lock

@@ -927,155 +927,7 @@ wheels = [
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+name = "immich-ml"
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-    { name = "numpy" },
-    { name = "onnx" },
-    { name = "pillow" },
-    { name = "prettytable" },
-    { name = "requests" },
-    { name = "scikit-image" },
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-    { name = "scipy" },
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