85 lines
4.4 KiB
Plaintext
85 lines
4.4 KiB
Plaintext
PS D:\Dev\ocr-VL1.6> uv run python .\main.py
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信息: 用提供的模式无法找到文件。
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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
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warnings.warn(warning_message)
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[Threads] oneDNN compiled, using 20 threads (CPU cores: 20)
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============================================================
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初始化模型...
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Creating model: ('PP-DocLayoutV3', None, None)
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Model files already exist. Using cached files. To redownload, please delete the directory manually: `C:\Users\kuuhaku_0\.paddlex\official_models\PP-DocLayoutV3`.
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Creating model: ('PaddleOCR-VL-1.6-0.9B', None, None)
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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`.
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Bucketed engine_config has no entry for resolved engine 'paddle_dynamic'; using an empty config for that engine.
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Loading configuration file C:\Users\kuuhaku_0\.paddlex\official_models\PaddleOCR-VL-1.6\config.json
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Loading weights file C:\Users\kuuhaku_0\.paddlex\official_models\PaddleOCR-VL-1.6\model.safetensors
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use GQA - num_heads: 16- num_key_value_heads: 2
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use GQA - num_heads: 16- num_key_value_heads: 2
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use GQA - num_heads: 16- num_key_value_heads: 2
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use GQA - num_heads: 16- num_key_value_heads: 2
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use GQA - num_heads: 16- num_key_value_heads: 2
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use GQA - num_heads: 16- num_key_value_heads: 2
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use GQA - num_heads: 16- num_key_value_heads: 2
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use GQA - num_heads: 16- num_key_value_heads: 2
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use GQA - num_heads: 16- num_key_value_heads: 2
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use GQA - num_heads: 16- num_key_value_heads: 2
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use GQA - num_heads: 16- num_key_value_heads: 2
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use GQA - num_heads: 16- num_key_value_heads: 2
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use GQA - num_heads: 16- num_key_value_heads: 2
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use GQA - num_heads: 16- num_key_value_heads: 2
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use GQA - num_heads: 16- num_key_value_heads: 2
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use GQA - num_heads: 16- num_key_value_heads: 2
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use GQA - num_heads: 16- num_key_value_heads: 2
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use GQA - num_heads: 16- num_key_value_heads: 2
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D:\Dev\ocr-VL1.6\.venv\Lib\site-packages\paddle\utils\decorator_utils.py:420: Warning:
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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.
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warnings.warn(
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Loaded weights file from disk, setting weights to model.
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All model checkpoint weights were used when initializing PaddleOCRVLForConditionalGeneration.
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All the weights of PaddleOCRVLForConditionalGeneration were initialized from the model checkpoint at C:\Users\kuuhaku_0\.paddlex\official_models\PaddleOCR-VL-1.6.
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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.
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Loading configuration file C:\Users\kuuhaku_0\.paddlex\official_models\PaddleOCR-VL-1.6\generation_config.json
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[OK] 模型初始化耗时: 40.03s
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============================================================
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开始 OCR 识别: images/名片01.jpg
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预热 0 轮 + 正式测试 1 轮
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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).
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return tensor(
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D:\Dev\ocr-VL1.6\.venv\Lib\site-packages\paddle\utils\decorator_utils.py:420: Warning:
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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.
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warnings.warn(
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81.30s
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============================================================
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[Benchmark]
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图片尺寸: 591 x 360
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检测文本块: 7 个
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识别文本块: 6 个
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推理次数: 1
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最快: 81.30s
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最慢: 81.30s
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平均: 81.30s
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============================================================
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[识别结果]
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[text] ([397, 17, 549, 38])
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材质：250g黄彩石纹
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[header_image] ([39, 65, 184, 106])
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[image] ([433, 100, 529, 152])
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[paragraph_title] ([30, 188, 306, 244])
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太原承方科技有限公司
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山西承方印刷物资有限公司
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[text] ([30, 282, 302, 306])
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地址：太原市南十方街东中环口西南角
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[text] ([32, 302, 471, 332])
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Q Q: 800806277 手机: 13703585513 网址: www.cfprint.cn |