PaddleX/latest/module_usage/tutorials/cv_modules/anomaly_detection

[giscus[bot]]

PaddleX/latest/module_usage/tutorials/cv_modules/anomaly_detection

https://paddlepaddle.github.io/PaddleX/latest/module_usage/tutorials/cv_modules/anomaly_detection.html

[Y70538889]

STFPM这个模块好像不能使用，我各项设置好像没有错误。下面是报错信息

(PaddleX) PS D:\Detection\Paddle\PaddleX> python main.py -c paddlex/configs/anomaly_detection/STFPM.yaml -o Global.mode=train
Traceback (most recent call last):
File "D:\Detection\Paddle\PaddleX\paddlex\repo_apis\base\config.py", line 30, in _create_config
model_info = get_registered_model_info(model_name)
File "D:\Detection\Paddle\PaddleX\paddlex\repo_apis\base\register.py", line 78, in query
return self._table[prim_key]
KeyError: 'STFPM'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "D:\Detection\Paddle\PaddleX\paddlex\utils\result_saver.py", line 29, in wrap
result = func(self, *args, **kwargs)
File "D:\Detection\Paddle\PaddleX\paddlex\engine.py", line 41, in run
self._model.train()
File "D:\Detection\Paddle\PaddleX\paddlex\model.py", line 93, in train
trainer = build_trainer(self._config)
File "D:\Detection\Paddle\PaddleX\paddlex\modules\base\trainer.py", line 34, in build_trainer
return BaseTrainer.get(model_name)(config)
File "D:\Detection\Paddle\PaddleX\paddlex\modules\base\trainer.py", line 54, in init
self.pdx_config, self.pdx_model = build_model(self.global_config.model)
File "D:\Detection\Paddle\PaddleX\paddlex\modules\base\build_model.py", line 32, in build_model
config = Config(model_name, config_path)
File "D:\Detection\Paddle\PaddleX\paddlex\repo_apis\base\config.py", line 32, in _create_config
raise UnsupportedParamError(
paddlex.utils.errors.others.UnsupportedParamError: 'STFPM' is not a registered model name.

[Y70538889]

问题解决了，我没有安装这个模块。。。

[uv087]

我没有训练资源，希望在ai studio或其他百度云端平台进行图像异常检测模型训练，无代码或低代码方式，使用自己的数据对STFPM模型做训练调优，然后下载模型或sdk到本地电脑（intel cpu ，win10/11系统）进行推理。请问训练入口在哪里，并请告知添加数据集和建立模型的流程步骤。