PaddlePaddle / PaddleClas

A treasure chest for visual classification and recognition powered by PaddlePaddle
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按照文档 使用 paddle_serving 部署 PLUC 的clarity_assessment 清晰度检测模型,接口调用报错 #3206

Closed syge closed 2 months ago

syge commented 4 months ago

欢迎您使用PaddleClas并反馈相关问题,非常感谢您对PaddleClas的贡献! 提出issue时,辛苦您提供以下信息,方便我们快速定位问题并及时有效地解决您的问题:

  1. PaddleClas版本以及PaddlePaddle版本:请您提供您使用的版本号或分支信息,如PaddleClas release/2.2和PaddlePaddle 2.1.0
  2. 涉及的其他产品使用的版本号:如您在使用PaddleClas的同时还在使用其他产品,如PaddleServing、PaddleInference等,请您提供其版本号
  3. 训练环境信息: a. 具体操作系统,如Linux/Windows/MacOS b. Python版本号,如Python3.6/7/8 c. CUDA/cuDNN版本, 如CUDA10.2/cuDNN 7.6.5等
  4. 完整的代码(相比于repo中代码,有改动的地方)、详细的错误信息及相关log

{ "err_no": 5, "err_msg": "(log_id=19) imagenet failed to predict.", "key": [], "value": [], "tensors": [] }

cuicheng01 commented 4 months ago

您好,使用最新的develop代码试试呢?

syge commented 4 months ago

paddleClas的develop分支代码么

TingquanGao commented 4 months ago

请参考这个:https://github.com/PaddlePaddle/PaddleClas/issues/3202#issuecomment-2261963463

cuicheng01 commented 4 months ago

paddleClas的develop分支代码么

是的

TingquanGao commented 3 months ago

The issue has no response for a long time and will be closed. You can reopen or new another issue if are still confused.


From Bot

TingquanGao commented 2 months ago

The issue has no response for a long time and will be closed. You can reopen or new another issue if are still confused.


From Bot