mirror of
https://github.com/KevinMidboe/immich.git
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87a0ba3db3
* export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
62 lines
1.5 KiB
Python
62 lines
1.5 KiB
Python
import json
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from pathlib import Path
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from typing import Any, Iterator
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from unittest import mock
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import numpy as np
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import pytest
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from fastapi.testclient import TestClient
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from PIL import Image
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from .main import app, init_state
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from .schemas import ndarray_f32
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@pytest.fixture
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def pil_image() -> Image.Image:
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return Image.new("RGB", (600, 800))
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@pytest.fixture
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def cv_image(pil_image: Image.Image) -> ndarray_f32:
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return np.asarray(pil_image)[:, :, ::-1] # PIL uses RGB while cv2 uses BGR
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@pytest.fixture
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def mock_get_model() -> Iterator[mock.Mock]:
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with mock.patch("app.models.cache.from_model_type", autospec=True) as mocked:
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yield mocked
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@pytest.fixture(scope="session")
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def deployed_app() -> TestClient:
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init_state()
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return TestClient(app)
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@pytest.fixture(scope="session")
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def responses() -> dict[str, Any]:
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return json.load(open("responses.json", "r"))
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@pytest.fixture(scope="session")
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def clip_model_cfg() -> dict[str, Any]:
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return {
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"embed_dim": 512,
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"vision_cfg": {"image_size": 224, "layers": 12, "width": 768, "patch_size": 32},
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"text_cfg": {"context_length": 77, "vocab_size": 49408, "width": 512, "heads": 8, "layers": 12},
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}
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@pytest.fixture(scope="session")
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def clip_preprocess_cfg() -> dict[str, Any]:
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return {
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"size": [224, 224],
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"mode": "RGB",
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"mean": [0.48145466, 0.4578275, 0.40821073],
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"std": [0.26862954, 0.26130258, 0.27577711],
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"interpolation": "bicubic",
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"resize_mode": "shortest",
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"fill_color": 0,
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}
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