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@@ -2,9 +2,10 @@ from paddlex import create_pipeline
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import time
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from pathlib import Path
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-input_path = "./sample_data/300674-母公司现金流量表-扫描.png"
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+# input_path = "./sample_data/300674-母公司现金流量表-扫描.png"
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+input_path = "/Users/zhch158/workspace/data/流水分析/对公_招商银行图/table_recognition_v2_Results/对公_招商银行图/对公_招商银行图_page_001.png"
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-pipeline_path = "./table_recognition_v2-zhch.yaml"
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+pipeline_path = "./my_config/table_recognition_v2.yaml"
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pipeline_name = Path(pipeline_path).stem
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output_path = Path(f"./sample_data/single_pipeline_output/{pipeline_name}/")
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@@ -16,6 +17,8 @@ output = pipeline.predict(
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device="gpu", # 或者 "gpu" 如果你有 GPU 支持
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use_doc_orientation_classify=True, # 开启文档方向分类
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use_doc_unwarping=False, # 开启文档去畸变
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+ # use_e2e_wireless_table_rec_model=True, # 开启端到端无线表格识别
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+ use_wireless_table_cells_trans_to_html=True, # 开启无线表格单元格转 HTML
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)
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# 可视化结果并保存 json 结果
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