mirror of
https://github.com/RapidAI/RapidOCR.git
synced 2026-11-11 21:40:52 +08:00
180 lines
4.1 KiB
YAML
180 lines
4.1 KiB
YAML
Global:
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text_score: 0.5
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use_det: false
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use_cls: true
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use_rec: false
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min_height: 30
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width_height_ratio: 8
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max_side_len: 2000
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min_side_len: 30
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return_word_box: false
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return_single_char_box: false
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font_path: null
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log_level: "info" # debug / info / warning / error / critical
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model_root_dir: ./test_models
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EngineConfig:
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onnxruntime:
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intra_op_num_threads: -1
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inter_op_num_threads: -1
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enable_cpu_mem_arena: false
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cpu_ep_cfg:
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arena_extend_strategy: "kSameAsRequested"
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use_cuda: false
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cuda_ep_cfg:
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device_id: 0
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arena_extend_strategy: "kNextPowerOfTwo"
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cudnn_conv_algo_search: "EXHAUSTIVE"
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do_copy_in_default_stream: true
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use_dml: false
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dml_ep_cfg: null
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use_cann: false
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cann_ep_cfg:
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device_id: 0
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arena_extend_strategy: "kNextPowerOfTwo"
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npu_mem_limit: 21474836480 # 20 * 1024 * 1024 * 1024
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op_select_impl_mode: "high_performance"
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optypelist_for_implmode: "Gelu"
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enable_cann_graph: true
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use_coreml: false
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coreml_ep_cfg:
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ModelFormat: "MLProgram"
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MLComputeUnits: "ALL"
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RequireStaticInputShapes: 0
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EnableOnSubgraphs: 0
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SpecializationStrategy: "FastPrediction"
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ProfileComputePlan: 0
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AllowLowPrecisionAccumulationOnGPU: 0
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ModelCacheDirectory: "/tmp/RapidOCR"
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openvino:
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inference_num_threads: -1
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performance_hint: null
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performance_num_requests: -1
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enable_cpu_pinning: null
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num_streams: -1
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enable_hyper_threading: null
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scheduling_core_type: null
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paddle:
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cpu_math_library_num_threads: -1
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use_npu: false
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npu_ep_cfg:
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device_id: 0
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envs:
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FLAGS_npu_jit_compile: 0
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FLAGS_use_stride_kernel: 0
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FLAGS_allocator_strategy: "auto_growth"
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CUSTOM_DEVICE_BLACK_LIST: "pad3d,pad3d_grad,set_value,set_value_with_tensor"
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FLAGS_npu_scale_aclnn: "True"
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FLAGS_npu_split_aclnn: "True"
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use_cuda: false
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cuda_ep_cfg:
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device_id: 0
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gpu_mem: 500
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torch:
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use_cuda: false
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cuda_ep_cfg:
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device_id: 0
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use_npu: false
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npu_ep_cfg:
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device_id: 0
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use_mps: false
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tensorrt:
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device_id: 0
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use_fp16: true
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use_int8: false
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workspace_size: 1073741824 # 1GB = 1 << 30
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# Engine caching
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cache_dir: null # null = use default models dir
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force_rebuild: false
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# Dynamic shape optimization profiles
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det_profile:
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min_shape: [1, 3, 32, 32]
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opt_shape: [1, 3, 736, 736]
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max_shape: [1, 3, 2048, 2048]
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rec_profile:
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min_shape: [1, 3, 48, 32]
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opt_shape: [6, 3, 48, 320]
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max_shape: [6, 3, 48, 2048]
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cls_profile:
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min_shape: [1, 3, 48, 32]
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opt_shape: [6, 3, 48, 192]
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max_shape: [6, 3, 48, 192]
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mnn: {}
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Det:
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engine_type: "onnxruntime"
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lang_type: "ch"
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model_type: "mobile"
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ocr_version: "PP-OCRv4"
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task_type: "det"
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model_path: null
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model_dir: null
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limit_side_len: 736
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limit_type: min
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std: [ 0.5, 0.5, 0.5 ]
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mean: [ 0.5, 0.5, 0.5 ]
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thresh: 0.3
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box_thresh: 0.5
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max_candidates: 1000
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unclip_ratio: 1.6
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use_dilation: true
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score_mode: fast
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Cls:
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engine_type: "onnxruntime"
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lang_type: "ch"
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model_type: "mobile"
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ocr_version: "PP-OCRv4"
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task_type: "cls"
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model_path: null
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model_dir: null
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cls_image_shape: [3, 48, 192]
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cls_batch_num: 6
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cls_thresh: 0.9
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label_list: ["0", "180"]
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Rec:
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engine_type: "onnxruntime"
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lang_type: "ch"
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model_type: "mobile"
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ocr_version: "PP-OCRv4"
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task_type: "rec"
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model_path: null
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model_dir: null
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rec_keys_path: null
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rec_img_shape: [3, 48, 320]
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rec_batch_num: 6
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