PS D:\Dev\ocr-VL1.6> uv run python .\main.py
信息: 用提供的模式无法找到文件。
D:\Dev\ocr-VL1.6\.venv\Lib\site-packages\paddle\utils\cpp_extension\extension_utils.py:718: UserWarning: No ccache found. Please be aware that recompiling all source files may be required. You can download and install ccache from: https://github.com/ccache/ccache/blob/master/doc/INSTALL.md
  warnings.warn(warning_message)
[Threads] oneDNN compiled, using 20 threads (CPU cores: 20)
============================================================
初始化模型...
Creating model: ('PP-DocLayoutV3', None, None)
Model files already exist. Using cached files. To redownload, please delete the directory manually: `C:\Users\kuuhaku_0\.paddlex\official_models\PP-DocLayoutV3`.
Creating model: ('PaddleOCR-VL-1.6-0.9B', None, None)
Model files already exist. Using cached files. To redownload, please delete the directory manually: `C:\Users\kuuhaku_0\.paddlex\official_models\PaddleOCR-VL-1.6`.
Bucketed engine_config has no entry for resolved engine 'paddle_dynamic'; using an empty config for that engine.
Loading configuration file C:\Users\kuuhaku_0\.paddlex\official_models\PaddleOCR-VL-1.6\config.json
Loading weights file C:\Users\kuuhaku_0\.paddlex\official_models\PaddleOCR-VL-1.6\model.safetensors
use GQA - num_heads: 16- num_key_value_heads: 2
use GQA - num_heads: 16- num_key_value_heads: 2
use GQA - num_heads: 16- num_key_value_heads: 2
use GQA - num_heads: 16- num_key_value_heads: 2
use GQA - num_heads: 16- num_key_value_heads: 2
use GQA - num_heads: 16- num_key_value_heads: 2
use GQA - num_heads: 16- num_key_value_heads: 2
use GQA - num_heads: 16- num_key_value_heads: 2
use GQA - num_heads: 16- num_key_value_heads: 2
use GQA - num_heads: 16- num_key_value_heads: 2
use GQA - num_heads: 16- num_key_value_heads: 2
use GQA - num_heads: 16- num_key_value_heads: 2
use GQA - num_heads: 16- num_key_value_heads: 2
use GQA - num_heads: 16- num_key_value_heads: 2
use GQA - num_heads: 16- num_key_value_heads: 2
use GQA - num_heads: 16- num_key_value_heads: 2
use GQA - num_heads: 16- num_key_value_heads: 2
use GQA - num_heads: 16- num_key_value_heads: 2
D:\Dev\ocr-VL1.6\.venv\Lib\site-packages\paddle\utils\decorator_utils.py:420: Warning:
Non compatible API. Please refer to https://www.paddlepaddle.org.cn/documentation/docs/en/develop/guides/model_convert/convert_from_pytorch/api_difference/torch/torch.split.html first.
  warnings.warn(
Loaded weights file from disk, setting weights to model.
All model checkpoint weights were used when initializing PaddleOCRVLForConditionalGeneration.

All the weights of PaddleOCRVLForConditionalGeneration were initialized from the model checkpoint at C:\Users\kuuhaku_0\.paddlex\official_models\PaddleOCR-VL-1.6.
If your task is similar to the task the model of the checkpoint was trained on, you can already use PaddleOCRVLForConditionalGeneration for predictions without further training.
Loading configuration file C:\Users\kuuhaku_0\.paddlex\official_models\PaddleOCR-VL-1.6\generation_config.json
[OK] 模型初始化耗时: 40.03s
============================================================

开始 OCR 识别: images/名片01.jpg
预热 0 轮 + 正式测试 1 轮

  推理 1/1... D:\Dev\ocr-VL1.6\.venv\Lib\site-packages\paddle\tensor\creation.py:1088: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach(), rather than paddle.to_tensor(sourceTensor).
  return tensor(
D:\Dev\ocr-VL1.6\.venv\Lib\site-packages\paddle\utils\decorator_utils.py:420: Warning:
Non compatible API. Please refer to https://www.paddlepaddle.org.cn/documentation/docs/en/develop/guides/model_convert/convert_from_pytorch/api_difference/torch/torch.max.html first.
  warnings.warn(
81.30s

============================================================
[Benchmark]
  图片尺寸: 591 x 360
  检测文本块: 7 个
  识别文本块: 6 个
  推理次数: 1
  最快: 81.30s
  最慢: 81.30s
  平均: 81.30s
============================================================

[识别结果]

  [text] ([397, 17, 549, 38])
  材质：250g黄彩石纹

  [header_image] ([39, 65, 184, 106])


  [image] ([433, 100, 529, 152])


  [paragraph_title] ([30, 188, 306, 244])
  太原承方科技有限公司
山西承方印刷物资有限公司

  [text] ([30, 282, 302, 306])
  地址：太原市南十方街东中环口西南角

  [text] ([32, 302, 471, 332])
  Q Q: 800806277 手机: 13703585513 网址: www.cfprint.cn