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feat(ml): ML on Rockchip NPUs ()

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Yoni Yang 2025-03-18 00:04:08 +08:00 • committed by GitHub
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machine-learning/export/immich_model_exporter
run.py

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machine-learning/export/immich_model_exporter/run.py Normal file
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import subprocess
from exporters.constants import ModelSource
mclip = [
"M-CLIP/LABSE-Vit-L-14",
"M-CLIP/XLM-Roberta-Large-Vit-B-16Plus",
"M-CLIP/XLM-Roberta-Large-Vit-B-32",
"M-CLIP/XLM-Roberta-Large-Vit-L-14",
]
openclip = [
"RN101__openai",
"RN101__yfcc15m",
"RN50__cc12m",
"RN50__openai",
"RN50__yfcc15m",
"RN50x16__openai",
"RN50x4__openai",
"RN50x64__openai",
"ViT-B-16-SigLIP-256__webli",
"ViT-B-16-SigLIP-384__webli",
"ViT-B-16-SigLIP-512__webli",
"ViT-B-16-SigLIP-i18n-256__webli",
"ViT-B-16-SigLIP2__webli",
"ViT-B-16-SigLIP__webli",
"ViT-B-16-plus-240__laion400m_e31",
"ViT-B-16-plus-240__laion400m_e32",
"ViT-B-16__laion400m_e31",
"ViT-B-16__laion400m_e32",
"ViT-B-16__openai",
"ViT-B-32-SigLIP2-256__webli",
"ViT-B-32__laion2b-s34b-b79k",
"ViT-B-32__laion2b_e16",
"ViT-B-32__laion400m_e31",
"ViT-B-32__laion400m_e32",
"ViT-B-32__openai",
"ViT-H-14-378-quickgelu__dfn5b",
"ViT-H-14-quickgelu__dfn5b",
"ViT-H-14__laion2b-s32b-b79k",
"ViT-L-14-336__openai",
"ViT-L-14-quickgelu__dfn2b",
"ViT-L-14__laion2b-s32b-b82k",
"ViT-L-14__laion400m_e31",
"ViT-L-14__laion400m_e32",
"ViT-L-14__openai",
"ViT-L-16-SigLIP-256__webli",
"ViT-L-16-SigLIP-384__webli",
"ViT-L-16-SigLIP2-256__webli",
"ViT-L-16-SigLIP2-384__webli",
"ViT-L-16-SigLIP2-512__webli",
"ViT-SO400M-14-SigLIP-384__webli",
"ViT-SO400M-14-SigLIP2-378__webli",
"ViT-SO400M-14-SigLIP2__webli",
"ViT-SO400M-16-SigLIP2-256__webli",
"ViT-SO400M-16-SigLIP2-384__webli",
"ViT-SO400M-16-SigLIP2-512__webli",
"ViT-gopt-16-SigLIP2-256__webli",
"ViT-gopt-16-SigLIP2-384__webli",
"nllb-clip-base-siglip__mrl",
"nllb-clip-base-siglip__v1",
"nllb-clip-large-siglip__mrl",
"nllb-clip-large-siglip__v1",
"xlm-roberta-base-ViT-B-32__laion5b_s13b_b90k",
"xlm-roberta-large-ViT-H-14__frozen_laion5b_s13b_b90k",
]
insightface = [
"antelopev2",
"buffalo_l",
"buffalo_m",
"buffalo_s",
]
def export_models(models: list[str], source: ModelSource) -> None:
for model in models:
try:
print(f"Exporting model {model}")
subprocess.check_call(["python", "-m", "immich_model_exporter.export", model, source])
except Exception as e:
print(f"Failed to export model {model}: {e}")
if __name__ == "__main__":
export_models(mclip, ModelSource.MCLIP)
export_models(openclip, ModelSource.OPENCLIP)
export_models(insightface, ModelSource.INSIGHTFACE)