120 lines
2.4 KiB
YAML
120 lines
2.4 KiB
YAML
Global:
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text_score: 0.5
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use_det: true
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use_cls: true
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use_rec: true
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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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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: true # 改为true以启用CUDA
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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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dm_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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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_id: 0
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use_cuda: true # 改为true以启用CUDA
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gpu_id: 0
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gpu_mem: 500
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torch:
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use_cuda: true # 已经是true
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gpu_id: 0
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Det:
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engine_type: "torch"
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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: "torch"
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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: "torch"
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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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