from paddleocr import PaddleOCRVL

# ═══════ 测试配置：改这里就行 ═══════
TEST_IMAGE = r"C:\Users\Administrator\PycharmProjects\project\tbsg\screenshots\IZKBKVGITC7X6LQO\step3\step3_b0_crop_debug.png"  # 改成你的截图路径
# ═══════════════════════════════════

pipeline = PaddleOCRVL()  # 首次运行自动下载 PaddleOCR-VL-1.6 模型
output = pipeline.predict(TEST_IMAGE)

for res in output:
    res.print()  # 打印识别结果
    res.save_to_markdown("output")  # 保存为 markdown
# from paddleocr import PaddleOCR
#
# # ═══════ 测试配置 ═══════
# TEST_IMAGE = r"C:\Users\Administrator\PycharmProjects\project\tbsg\screenshots\DEZXWKUC7DJBLVPJ\step3\step3_b0.png"
# # ═══════════════════════
#
# ocr = PaddleOCR(
#     use_doc_orientation_classify=False,
#     use_doc_unwarping=False,
#     use_textline_orientation=False,
#     enable_mkldnn=False,  # ← 加这一行，绕过 oneDNN 的 bug
# )
# result = ocr.predict(TEST_IMAGE)
# for res in result:
#     res.print()
#     res.save_to_json("output_ppocr")