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https://www.modelscope.cn/models/RapidAI/RapidOCR/resolve/v3.9.0/paddle/PP-OCRv4/rec/te_PP-OCRv4_rec_mobile/te_dict.txt SHA256: 0597e97b27be9298d703267ed28227abfa6c0a60c07817575b5fa7d2124e7dbc cls: ch_ptocr_mobile_v2.0_cls_mobile: - model_dir: https://www.modelscope.cn/models/RapidAI/RapidOCR/resolve/v3.8.0/torch/PP-OCRv4/cls/ch_ptocr_mobile_v2.0_cls_mobile.pth + model_dir: https://www.modelscope.cn/models/RapidAI/RapidOCR/resolve/v3.9.0/torch/PP-OCRv4/cls/ch_ptocr_mobile_v2.0_cls_mobile.pth SHA256: bfe13860824b3365c0c7f7ccfcddc8ff11645c60051739ff18bc9913f60c98e1 PP-OCRv5: det: ch_PP-OCRv5_det_mobile: - model_dir: https://www.modelscope.cn/models/RapidAI/RapidOCR/resolve/v3.8.0/torch/PP-OCRv5/det/ch_PP-OCRv5_det_mobile.pth + model_dir: https://www.modelscope.cn/models/RapidAI/RapidOCR/resolve/v3.9.0/torch/PP-OCRv5/det/ch_PP-OCRv5_det_mobile.pth SHA256: df848ed5060bac4d0f6e58572aea97d92e909a8a87cf292849237b0e84f6ffdb ch_PP-OCRv5_det_server: - model_dir: 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{ocr_version}\n" f" task_type = {task_type}\n" f" lang_type = {lang_type}\n" + f" model_type = {model_type}\n" "\n" "Please refer to the official model list for supported combinations:\n" "https://rapidai.github.io/RapidOCRDocs/main/model_list/\n" "\n" "Example valid usage:\n" " from rapidocr import LangRec, OCRVersion, RapidOCR\n" - " engine = RapidOCR(params={'Rec.ocr_version': OCRVersion.PPOCRV5, 'Rec.lang_type': LangRec.CH})", + " engine = RapidOCR(params={'Rec.ocr_version': OCRVersion.PPOCRV5, 'Rec.lang_type': LangRec.CH, 'Rec.model_type': 'mobile'})", ) raise ValueError("Invalid OCR configuration.") diff --git a/python/rapidocr/inference_engine/mnn/main.py b/python/rapidocr/inference_engine/mnn/main.py index 249acef..9dafd38 100644 --- a/python/rapidocr/inference_engine/mnn/main.py +++ b/python/rapidocr/inference_engine/mnn/main.py @@ -11,6 +11,7 @@ from omegaconf import DictConfig from ...utils.download_file import DownloadFile, DownloadFileInput from ...utils.log import logger +from ...utils.utils import mkdir from ..base import FileInfo, InferSession @@ -25,10 +26,7 @@ class MNNInferSession(InferSession): "Either model_path or model_root_dir must be provided in the configuration." ) model_root_dir = Path(model_root_dir) - if not model_root_dir.exists(): - raise FileNotFoundError( - f"model_root_dir {model_root_dir} does not exist" - ) + mkdir(model_root_dir) model_info = self.get_model_url( FileInfo( diff --git a/python/rapidocr/inference_engine/onnxruntime/main.py b/python/rapidocr/inference_engine/onnxruntime/main.py index 7fdfabd..6db088d 100644 --- a/python/rapidocr/inference_engine/onnxruntime/main.py +++ b/python/rapidocr/inference_engine/onnxruntime/main.py @@ -11,6 +11,7 @@ from onnxruntime import GraphOptimizationLevel, InferenceSession, SessionOptions from ...utils.download_file import DownloadFile, DownloadFileInput from ...utils.log import logger +from ...utils.utils import mkdir from ..base import FileInfo, InferSession from .provider_config import ProviderConfig @@ -38,10 +39,7 @@ class OrtInferSession(InferSession): "Either model_path or model_root_dir must be provided in the configuration." ) model_root_dir = Path(model_root_dir) - if not model_root_dir.exists(): - raise FileNotFoundError( - f"model_root_dir {model_root_dir} does not exist" - ) + mkdir(model_root_dir) # 说明用户没有指定自己模型，使用默认模型 model_info = self.get_model_url( diff --git a/python/rapidocr/inference_engine/openvino/main.py b/python/rapidocr/inference_engine/openvino/main.py index 5ec6246..d4f12fa 100644 --- a/python/rapidocr/inference_engine/openvino/main.py +++ b/python/rapidocr/inference_engine/openvino/main.py @@ -15,6 +15,7 @@ except ImportError: from ...utils.download_file import DownloadFile, DownloadFileInput from ...utils.log import logger +from ...utils.utils import mkdir from ..base import FileInfo, InferSession from .device_config import CPUConfig @@ -32,10 +33,7 @@ class OpenVINOInferSession(InferSession): "Either model_path or model_root_dir must be provided in the configuration." ) model_root_dir = Path(model_root_dir) - if not model_root_dir.exists(): - raise FileNotFoundError( - f"model_root_dir {model_root_dir} does not exist" - ) + mkdir(model_root_dir) model_info = self.get_model_url( FileInfo( diff --git a/python/rapidocr/inference_engine/paddle/main.py b/python/rapidocr/inference_engine/paddle/main.py index cb82981..26ab243 100644 --- a/python/rapidocr/inference_engine/paddle/main.py +++ b/python/rapidocr/inference_engine/paddle/main.py @@ -11,6 +11,7 @@ from paddle import inference from ...utils.download_file import DownloadFile, DownloadFileInput from ...utils.log import logger from ...utils.typings import OCRVersion +from ...utils.utils import mkdir from ..base import FileInfo, InferSession from .device_config import DeviceConfig @@ -18,10 +19,7 @@ from .device_config import DeviceConfig class PaddleInferSession(InferSession): def __init__(self, cfg, mode: Optional[str] = None) -> None: self.model_root_dir = Path(cfg.get("model_root_dir")) - if not self.model_root_dir.exists(): - raise FileNotFoundError( - f"model_root_dir {self.model_root_dir} does not exist" - ) + mkdir(self.model_root_dir) self.mode = mode diff --git a/python/rapidocr/inference_engine/pytorch/main.py b/python/rapidocr/inference_engine/pytorch/main.py index 76e57af..8357d9f 100644 --- a/python/rapidocr/inference_engine/pytorch/main.py +++ b/python/rapidocr/inference_engine/pytorch/main.py @@ -7,6 +7,7 @@ from typing import List import numpy as np import torch +from ...utils.utils import mkdir from ..base import InferSession from .device_config import DeviceConfig from .networks.main import ModelLoader @@ -15,10 +16,7 @@ from .networks.main import ModelLoader class TorchInferSession(InferSession): def __init__(self, cfg) -> None: self.model_root_dir = Path(cfg.get("model_root_dir")) - if not self.model_root_dir.exists(): - raise FileNotFoundError( - f"model_root_dir {self.model_root_dir} does not exist" - ) + mkdir(self.model_root_dir) self.device = DeviceConfig(cfg).setup_device() self.predictor = ModelLoader(cfg, self.device).predictor diff --git a/python/rapidocr/inference_engine/tensorrt/main.py b/python/rapidocr/inference_engine/tensorrt/main.py index 1080952..b0d1392 100644 --- a/python/rapidocr/inference_engine/tensorrt/main.py +++ b/python/rapidocr/inference_engine/tensorrt/main.py @@ -13,6 +13,7 @@ from ...utils.download_file import DownloadFile, DownloadFileInput from ...utils.log import logger from ...utils.model_resolver import normalize_lang, resolve_model_key from ...utils.typings import EngineType +from ...utils.utils import mkdir from ..base import FileInfo, InferSession from .engine_builder import TRTEngineBuilder from .memory_utils import allocate_buffers, free_buffers @@ -291,10 +292,7 @@ class TRTInferSession(InferSession): "Either model_path or model_root_dir must be provided in the configuration." ) model_root_dir = Path(model_root_dir) - if not model_root_dir.exists(): - raise FileNotFoundError( - f"model_root_dir {model_root_dir} does not exist" - ) + mkdir(model_root_dir) self.model_root_dir = model_root_dir if not self.model_root_dir.exists(): diff --git a/python/tests/test_default_config.py b/python/tests/test_default_config.py new file mode 100644 index 0000000..44d5346 --- /dev/null +++ b/python/tests/test_default_config.py @@ -0,0 +1,274 @@ +# -*- encoding: utf-8 -*- +# @Author: SWHL +# @Contact: liekkaskono@163.com +from pathlib import Path + +import pytest + +from rapidocr import RapidOCR +from rapidocr.inference_engine.base import FileInfo, InferSession +from rapidocr.utils.parse_parameters import ParseParams +from rapidocr.utils.typings import ( + EngineType, + LangCls, + LangDet, + LangRec, + ModelType, + OCRVersion, + TaskType, +) + +root_dir = Path(__file__).resolve().parent.parent +config_path = root_dir / "rapidocr" / "config.yaml" +tests_dir = root_dir / "tests" / "test_files" + + +@pytest.fixture() +def default_cfg(): + return ParseParams.load(config_path) + + +@pytest.fixture(scope="module") +def default_engine(): + return RapidOCR() + + +def get_default_model_info(model_cfg): + return InferSession.get_model_url( + FileInfo( + model_cfg.engine_type, + model_cfg.ocr_version, + model_cfg.task_type, + model_cfg.lang_type, + model_cfg.model_type, + ) + ) + + +def test_default_global_config(default_cfg): + assert default_cfg.Global.text_score == 0.5 + assert default_cfg.Global.use_det is True + assert default_cfg.Global.use_cls is True + assert default_cfg.Global.use_rec is True + assert default_cfg.Global.min_height == 30 + assert default_cfg.Global.width_height_ratio == 8 + assert default_cfg.Global.max_side_len == 2000 + assert default_cfg.Global.min_side_len == 30 + assert default_cfg.Global.return_word_box is False + assert default_cfg.Global.return_single_char_box is False + assert default_cfg.Global.font_path is None + assert default_cfg.Global.log_level == "info" + assert default_cfg.Global.model_root_dir is None + + +def test_default_onnxruntime_engine_config(default_cfg): + cfg = default_cfg.EngineConfig.onnxruntime + + assert cfg.intra_op_num_threads == -1 + assert cfg.inter_op_num_threads == -1 + assert cfg.enable_cpu_mem_arena is False + assert cfg.cpu_ep_cfg.arena_extend_strategy == "kSameAsRequested" + assert cfg.use_cuda is False + assert cfg.cuda_ep_cfg.device_id == 0 + assert cfg.cuda_ep_cfg.arena_extend_strategy == "kNextPowerOfTwo" + assert cfg.cuda_ep_cfg.cudnn_conv_algo_search == "EXHAUSTIVE" + assert cfg.cuda_ep_cfg.do_copy_in_default_stream is True + assert cfg.use_dml is False + assert cfg.dml_ep_cfg is None + assert cfg.use_cann is False + assert cfg.cann_ep_cfg.device_id == 0 + assert cfg.cann_ep_cfg.npu_mem_limit == 21474836480 + assert cfg.cann_ep_cfg.op_select_impl_mode == "high_performance" + assert cfg.cann_ep_cfg.optypelist_for_implmode == "Gelu" + assert cfg.cann_ep_cfg.enable_cann_graph is True + assert cfg.use_coreml is False + assert cfg.coreml_ep_cfg.ModelFormat == "MLProgram" + assert cfg.coreml_ep_cfg.MLComputeUnits == "ALL" + assert cfg.coreml_ep_cfg.ModelCacheDirectory == "/tmp/RapidOCR" + + +def test_default_openvino_engine_config(default_cfg): + cfg = default_cfg.EngineConfig.openvino + + assert cfg.inference_num_threads == -1 + assert cfg.performance_hint is None + assert cfg.performance_num_requests == -1 + assert cfg.enable_cpu_pinning is None + assert cfg.num_streams == -1 + assert cfg.enable_hyper_threading is None + assert cfg.scheduling_core_type is None + + +def test_default_other_engine_configs(default_cfg): + assert default_cfg.EngineConfig.paddle.cpu_math_library_num_threads == -1 + assert default_cfg.EngineConfig.paddle.use_npu is False + assert default_cfg.EngineConfig.paddle.npu_ep_cfg.device_id == 0 + assert default_cfg.EngineConfig.paddle.use_cuda is False + assert default_cfg.EngineConfig.paddle.cuda_ep_cfg.device_id == 0 + assert default_cfg.EngineConfig.paddle.cuda_ep_cfg.gpu_mem == 500 + + assert default_cfg.EngineConfig.torch.use_cuda is False + assert default_cfg.EngineConfig.torch.cuda_ep_cfg.device_id == 0 + assert default_cfg.EngineConfig.torch.use_npu is False + assert default_cfg.EngineConfig.torch.npu_ep_cfg.device_id == 0 + assert default_cfg.EngineConfig.torch.use_mps is False + + assert default_cfg.EngineConfig.tensorrt.device_id == 0 + assert default_cfg.EngineConfig.tensorrt.use_fp16 is True + assert default_cfg.EngineConfig.tensorrt.use_int8 is False + assert default_cfg.EngineConfig.tensorrt.workspace_size == 1073741824 + assert default_cfg.EngineConfig.tensorrt.cache_dir is None + assert default_cfg.EngineConfig.tensorrt.force_rebuild is False + assert default_cfg.EngineConfig.tensorrt.det_profile.opt_shape == [ + 1, + 3, + 736, + 736, + ] + assert default_cfg.EngineConfig.tensorrt.rec_profile.opt_shape == [ + 6, + 3, + 48, + 320, + ] + assert default_cfg.EngineConfig.tensorrt.cls_profile.opt_shape == [ + 6, + 3, + 48, + 192, + ] + + assert default_cfg.EngineConfig.mnn == {} + + +@pytest.mark.parametrize( + "section,task_type,expected_model_name,expected_sha256", + [ + ( + "Det", + TaskType.DET, + "PP-OCRv6_det_small.onnx", + "090f04abcd9d9a7498bc4ebf677e4cb9bdce1fe4197ddb7e529f1ef44e1ff94f", + ), + ( + "Rec", + TaskType.REC, + "PP-OCRv6_rec_small.onnx", + "6f327246b50388f3c176ae304bd95767ea6dc0c9ae92153ef8cbe210b3c14884", + ), + ], +) +def test_default_ppocrv6_model_config( + default_cfg, section, task_type, expected_model_name, expected_sha256 +): + model_cfg = default_cfg[section] + + assert model_cfg.engine_type == EngineType.ONNXRUNTIME + assert model_cfg.ocr_version == OCRVersion.PPOCRV6 + assert model_cfg.model_type == ModelType.SMALL + assert model_cfg.task_type == task_type + + model_info = get_default_model_info(model_cfg) + + assert model_info["model_dir"].endswith( + f"/PP-OCRv6/{task_type.value}/{expected_model_name}" + ) + assert model_info["SHA256"] == expected_sha256 + + +def test_default_det_config(default_cfg): + assert default_cfg.Det.engine_type == EngineType.ONNXRUNTIME + assert default_cfg.Det.lang_type == LangDet.CH + assert default_cfg.Det.model_type == ModelType.SMALL + assert default_cfg.Det.ocr_version == OCRVersion.PPOCRV6 + assert default_cfg.Det.task_type == TaskType.DET + assert default_cfg.Det.model_path is None + assert default_cfg.Det.model_dir is None + assert default_cfg.Det.limit_side_len == 736 + assert default_cfg.Det.limit_type == "min" + assert default_cfg.Det.std == [0.5, 0.5, 0.5] + assert default_cfg.Det.mean == [0.5, 0.5, 0.5] + assert default_cfg.Det.thresh == 0.3 + assert default_cfg.Det.box_thresh == 0.5 + assert default_cfg.Det.max_candidates == 1000 + assert default_cfg.Det.unclip_ratio == 1.6 + assert default_cfg.Det.use_dilation is True + assert default_cfg.Det.score_mode == "fast" + + +def test_default_cls_config(default_cfg): + assert default_cfg.Cls.engine_type == EngineType.ONNXRUNTIME + assert default_cfg.Cls.lang_type == LangCls.CH + assert default_cfg.Cls.model_type == ModelType.MOBILE + assert default_cfg.Cls.ocr_version == OCRVersion.PPOCRV4 + assert default_cfg.Cls.task_type == TaskType.CLS + assert default_cfg.Cls.model_path is None + assert default_cfg.Cls.model_dir is None + assert default_cfg.Cls.cls_image_shape == [3, 48, 192] + assert default_cfg.Cls.cls_batch_num == 6 + assert default_cfg.Cls.cls_thresh == 0.9 + assert default_cfg.Cls.label_list == ["0", "180"] + + +def test_default_rec_config(default_cfg): + assert default_cfg.Rec.engine_type == EngineType.ONNXRUNTIME + assert default_cfg.Rec.lang_type == LangRec.CH + assert default_cfg.Rec.model_type == ModelType.SMALL + assert default_cfg.Rec.ocr_version == OCRVersion.PPOCRV6 + assert default_cfg.Rec.task_type == TaskType.REC + assert default_cfg.Rec.model_path is None + assert default_cfg.Rec.model_dir is None + assert default_cfg.Rec.rec_keys_path is None + assert default_cfg.Rec.rec_img_shape == [3, 48, 320] + assert default_cfg.Rec.rec_batch_num == 6 + + +def test_default_cls_model_config(default_cfg): + model_info = get_default_model_info(default_cfg.Cls) + + assert model_info["model_dir"].endswith( + "/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx" + ) + assert ( + model_info["SHA256"] + == "e47acedf663230f8863ff1ab0e64dd2d82b838fceb5957146dab185a89d6215c" + ) + + +def test_default_engine_runtime_config(default_engine): + assert default_engine.use_det is True + assert default_engine.use_cls is True + assert default_engine.use_rec is True + assert default_engine.cfg.Det.ocr_version == OCRVersion.PPOCRV6 + assert default_engine.cfg.Det.model_type == ModelType.SMALL + assert default_engine.cfg.Rec.ocr_version == OCRVersion.PPOCRV6 + assert default_engine.cfg.Rec.model_type == ModelType.SMALL + assert default_engine.cfg.Cls.ocr_version == OCRVersion.PPOCRV4 + assert default_engine.cfg.Cls.model_type == ModelType.MOBILE + assert default_engine.text_det.limit_side_len == 736 + assert default_engine.text_det.limit_type == "min" + assert default_engine.text_cls.cls_image_shape == [3, 48, 192] + assert default_engine.text_rec.rec_image_shape == [3, 48, 320] + assert default_engine.text_rec.rec_batch_num == 6 + + +def test_default_engine_real_full_pipeline(default_engine): + result = default_engine(tests_dir / "ch_en_num.jpg") + + assert result.txts is not None + assert len(result) == 18 + assert result.txts[:3] == ("正品促销", "大桶装更划算", "强力去污符合国标") + + +def test_default_engine_real_rec_only(default_engine): + result = default_engine( + tests_dir / "text_rec.jpg", + use_det=False, + use_cls=False, + use_rec=True, + ) + + assert result.txts is not None + assert len(result) == 1 + assert result.txts[0] == "韩国小馆" + assert result.scores[0] > 0.99 diff --git a/python/tests/test_prepare_wheel_assets.py b/python/tests/test_prepare_wheel_assets.py new file mode 100644 index 0000000..0bfec66 --- /dev/null +++ b/python/tests/test_prepare_wheel_assets.py @@ -0,0 +1,70 @@ +# -*- encoding: utf-8 -*- +# @Author: SWHL +# @Contact: liekkaskono@163.com +import sys +from pathlib import Path + +import pytest + +root_dir = Path(__file__).resolve().parent.parent +sys.path.append(str(root_dir)) + +from tools.prepare_wheel_assets import ( + ModelSpec, + load_yaml, + resolve_assets, + resolve_model_specs, + select_model_info, +) + +config_path = root_dir / "rapidocr" / "config.yaml" +models_path = root_dir / "rapidocr" / "default_models.yaml" + + +@pytest.fixture(scope="module") +def default_config(): + return load_yaml(config_path) + + +@pytest.fixture(scope="module") +def model_registry(): + return load_yaml(models_path) + + +def test_default_wheel_assets_use_routed_ppocrv6_models( + default_config, model_registry +): + specs = resolve_model_specs(default_config) + assets = resolve_assets(specs, model_registry) + asset_paths = {asset.relative_path.as_posix() for asset in assets} + + assert asset_paths == { + "PP-OCRv6_det_small.onnx", + "ch_ppocr_mobile_v2.0_cls_mobile.onnx", + "PP-OCRv6_rec_small.onnx", + } + + +@pytest.mark.parametrize( + "spec,expected_model_name", + [ + ( + ModelSpec("onnxruntime", "PP-OCRv6", "det", "ch", "small"), + "PP-OCRv6_det_small.onnx", + ), + ( + ModelSpec("onnxruntime", "PP-OCRv6", "rec", "ch", "small"), + "PP-OCRv6_rec_small.onnx", + ), + ( + ModelSpec("onnxruntime", "PP-OCRv4", "cls", "ch", "mobile"), + "ch_ppocr_mobile_v2.0_cls_mobile.onnx", + ), + ], +) +def test_select_model_info_supports_default_model_specs( + model_registry, spec, expected_model_name +): + model_info = select_model_info(spec, model_registry) + + assert model_info["model_dir"].endswith(expected_model_name) diff --git a/python/tests/test_rec_language.py b/python/tests/test_rec_language.py index 6845bc8..7ea781b 100644 --- a/python/tests/test_rec_language.py +++ b/python/tests/test_rec_language.py @@ -10,13 +10,7 @@ from pytest import mark root_dir = Path(__file__).resolve().parent.parent sys.path.append(str(root_dir)) -from rapidocr import ( - EngineType, - LangRec, - ModelType, - OCRVersion, - RapidOCR, -) +from rapidocr import EngineType, LangRec, ModelType, OCRVersion, RapidOCR tests_dir = root_dir / "tests" / "test_files" img_path = tests_dir / "ch_en_num.jpg" @@ -109,9 +103,7 @@ def test_th_lang(engine_type): img_path = tests_dir / "th_rec.jpg" result = engine(img_path, use_det=False, use_cls=False, use_rec=True) assert result.txts is not None - assert ( - result.txts[0] == "การแพทย์แผนจีนช่วยให้เด็กสมองพิการในคาซัคสถานกลับมาเดินได้" - ) + assert result.txts[0] == "การแพทย์แผนจีนช่วยให้เด็กสมองพิการในคาซัคสถานกลับมาเดินได้" @mark.parametrize( diff --git a/python/tools/prepare_wheel_assets.py b/python/tools/prepare_wheel_assets.py index eb1f7ac..905be56 100644 --- a/python/tools/prepare_wheel_assets.py +++ b/python/tools/prepare_wheel_assets.py @@ -10,6 +10,11 @@ from pathlib import Path from typing import Iterable, List, Optional PYTHON_ROOT = Path(__file__).resolve().parents[1] +sys.path.insert(0, str(PYTHON_ROOT)) + +from rapidocr.utils.model_resolver import normalize_lang, resolve_model_key +from rapidocr.utils.typings import ModelType, OCRVersion, TaskType + DEFAULT_CONFIG_YAML = PYTHON_ROOT / "rapidocr" / "config.yaml" DEFAULT_MANIFEST_IN = PYTHON_ROOT / "MANIFEST.in" DEFAULT_MODEL_DIR = PYTHON_ROOT / "rapidocr" / "models" @@ -147,8 +152,28 @@ def select_model_info(spec: ModelSpec, registry: dict) -> dict: f"{spec.engine}.{spec.ocr_version}.{spec.task}" ) from e + model_key = _resolve_model_key(spec) + if model_key is not None: + model_info = task_models.get(model_key) + if not isinstance(model_info, dict): + raise RuntimeError( + "No model registry entry matches routed default config: " + f"{spec.engine}.{spec.ocr_version}.{spec.task} " + f"lang={spec.lang} model_type={spec.model_type} " + f"model_key={model_key}" + ) + return model_info + + lang = normalize_lang(spec.lang) + if spec.model_type == ModelType.SERVER.value: + for model_name, model_info in task_models.items(): + if model_name.startswith(lang) and spec.model_type in model_name: + if not isinstance(model_info, dict): + raise RuntimeError(f"Invalid model registry entry: {model_name}") + return model_info + for model_name, model_info in task_models.items(): - if model_name.startswith(spec.lang) and spec.model_type in model_name: + if model_name.startswith(lang) and spec.model_type in model_name: if not isinstance(model_info, dict): raise RuntimeError(f"Invalid model registry entry: {model_name}") return model_info @@ -160,6 +185,17 @@ def select_model_info(spec: ModelSpec, registry: dict) -> dict: ) +def _resolve_model_key(spec: ModelSpec) -> Optional[str]: + try: + task_type = TaskType(spec.task) + ocr_version = OCRVersion(spec.ocr_version) + model_type = ModelType(spec.model_type) + except ValueError: + return None + + return resolve_model_key(task_type, ocr_version, spec.lang, model_type) + + def model_info_to_assets(spec: ModelSpec, model_info: dict) -> List[WheelAsset]: model_url = _required_str(model_info, "model_dir", "model registry")