Global:
    text_score: 0.5

    use_det: false
    use_cls: true
    use_rec: false

    min_height: 30
    width_height_ratio: 8
    max_side_len: 2000
    min_side_len: 30

    return_word_box: false
    return_single_char_box: false

    font_path: null
    log_level: "info" # debug / info / warning / error / critical

    model_root_dir: ./test_models

EngineConfig:
    onnxruntime:
        intra_op_num_threads: -1
        inter_op_num_threads: -1
        enable_cpu_mem_arena: false

        cpu_ep_cfg:
            arena_extend_strategy: "kSameAsRequested"

        use_cuda: false
        cuda_ep_cfg:
            device_id: 0
            arena_extend_strategy: "kNextPowerOfTwo"
            cudnn_conv_algo_search: "EXHAUSTIVE"
            do_copy_in_default_stream: true

        use_dml: false
        dml_ep_cfg: null

        use_cann: false
        cann_ep_cfg:
            device_id: 0
            arena_extend_strategy: "kNextPowerOfTwo"
            npu_mem_limit:  21474836480 # 20 * 1024 * 1024 * 1024
            op_select_impl_mode: "high_performance"
            optypelist_for_implmode: "Gelu"
            enable_cann_graph: true

        use_coreml: false
        coreml_ep_cfg:
            ModelFormat: "MLProgram"
            MLComputeUnits: "ALL"
            RequireStaticInputShapes: 0
            EnableOnSubgraphs: 0
            SpecializationStrategy: "FastPrediction"
            ProfileComputePlan: 0
            AllowLowPrecisionAccumulationOnGPU: 0
            ModelCacheDirectory: "/tmp/RapidOCR"

    openvino:
        inference_num_threads: -1
        performance_hint: null
        performance_num_requests: -1
        enable_cpu_pinning: null
        num_streams: -1
        enable_hyper_threading: null
        scheduling_core_type: null

    paddle:
        cpu_math_library_num_threads: -1

        use_npu: false
        npu_ep_cfg:
            device_id: 0
            envs:
                FLAGS_npu_jit_compile: 0
                FLAGS_use_stride_kernel: 0
                FLAGS_allocator_strategy: "auto_growth"
                CUSTOM_DEVICE_BLACK_LIST: "pad3d,pad3d_grad,set_value,set_value_with_tensor"
                FLAGS_npu_scale_aclnn: "True"
                FLAGS_npu_split_aclnn: "True"

        use_cuda: false
        cuda_ep_cfg:
            device_id: 0
            gpu_mem: 500

    torch:
        use_cuda: false
        cuda_ep_cfg:
            device_id: 0

        use_npu: false
        npu_ep_cfg:
            device_id: 0

        use_mps: false

    tensorrt:
        device_id: 0
        use_fp16: true
        use_int8: false
        workspace_size: 1073741824  # 1GB = 1 << 30

        # Engine caching
        cache_dir: null  # null = use default models dir
        force_rebuild: false

        # Dynamic shape optimization profiles
        det_profile:
            min_shape: [1, 3, 32, 32]
            opt_shape: [1, 3, 736, 736]
            max_shape: [1, 3, 2048, 2048]

        rec_profile:
            min_shape: [1, 3, 48, 32]
            opt_shape: [6, 3, 48, 320]
            max_shape: [6, 3, 48, 2048]

        cls_profile:
            min_shape: [1, 3, 48, 32]
            opt_shape: [6, 3, 48, 192]
            max_shape: [6, 3, 48, 192]

    mnn: {}

Det:
    engine_type: "onnxruntime"
    lang_type: "ch"
    model_type: "mobile"
    ocr_version: "PP-OCRv4"

    task_type: "det"

    model_path: null
    model_dir: null

    limit_side_len: 736
    limit_type: min
    std: [ 0.5, 0.5, 0.5 ]
    mean: [ 0.5, 0.5, 0.5 ]

    thresh: 0.3
    box_thresh: 0.5
    max_candidates: 1000
    unclip_ratio: 1.6
    use_dilation: true
    score_mode: fast

Cls:
    engine_type: "onnxruntime"
    lang_type: "ch"
    model_type: "mobile"
    ocr_version: "PP-OCRv4"

    task_type: "cls"

    model_path: null
    model_dir: null

    cls_image_shape: [3, 48, 192]
    cls_batch_num: 6
    cls_thresh: 0.9
    label_list: ["0", "180"]

Rec:
    engine_type: "onnxruntime"
    lang_type: "ch"
    model_type: "mobile"
    ocr_version: "PP-OCRv4"

    task_type: "rec"

    model_path: null
    model_dir: null

    rec_keys_path: null
    rec_img_shape: [3, 48, 320]
    rec_batch_num: 6