使用paddlex训练图片多标签识别报错：NotADirectoryError: [WinError 267] 目录名称无效

[syge]

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描述问题

复现

1. 您是否已经正常运行我们提供的教程？

2. 您是否在教程的基础上修改代码内容？还请您提供运行的代码

3. 您使用的数据集是？

4. 请提供您出现的报错信息及相关log

环境

1. 请提供您使用的PaddlePaddle和PaddleX的版本号

2. 请提供您使用的操作系统信息，如Linux/Windows/MacOS

3. 请问您使用的Python版本是？

4. 请问您使用的CUDA/cuDNN的版本号是？

使用python版本是：3.10.14

跑的就是提供的示例：python main.py -c paddlex/configs/multilabel_classification/PP-LCNet_x1_0_ML.yaml -o Global.mode=train -o Global.dataset_dir=./dataset/mlcls_nus_examples

配置文件信息： Global: model: PP-LCNet_x1_0_ML

mode: check_dataset

mode: train dataset_dir: dataset/mlcls_nus_examples device: gpu:0 output: "output"

CheckDataset: convert: enable: False src_dataset_type: null split: enable: False train_percent: null val_percent: null

Train: num_classes: 33 epochs_iters: 20 batch_size: 32 learning_rate: 0.1 pretrain_weight_path: https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/PP-LCNet_x1_0_ML_pretrained.pdparams warmup_steps: 5 resume_path: null log_interval: 20 eval_interval: 1 save_interval: 1

Evaluate: weight_path: "output/best_model/best_model.pdparams" log_interval: 1

Export: weight_path: https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/PP-LCNet_x1_0_ML_pretrained.pdparams

Predict: batch_size: 1 model_dir: "output/best_model/inference" input: "https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/general_image_classification_001.jpg" kernel_option: run_mode: paddle

具体报错信息是： Traceback (most recent call last): File "D:\python-application\PaddleX\paddlex\utils\result_saver.py", line 29, in wrap result = func(self, *args, kwargs) File "D:\python-application\PaddleX\paddlex\engine.py", line 41, in run self._model.train() File "D:\python-application\PaddleX\paddlex\model.py", line 94, in train trainer.train() File "D:\python-application\PaddleX\paddlex\modules\base\trainer.py", line 71, in train train_result = self.pdx_model.train(train_args) File "D:\python-application\PaddleX\paddlex\repo_apis\PaddleClas_api\cls\model.py", line 123, in train return self.runner.train( File "D:\python-application\PaddleX\paddlex\repo_apis\PaddleClas_api\cls\runner.py", line 50, in train return self.run_cmd( File "D:\python-application\PaddleX\paddlex\repo_apis\base\runner.py", line 344, in run_cmd retcode = asyncio.run( File "D:\software\aconda\envs\dbgpt_env\lib\asyncio\runners.py", line 44, in run return loop.run_until_complete(main) File "D:\software\aconda\envs\dbgpt_env\lib\asyncio\base_events.py", line 649, in run_until_complete return future.result() File "D:\python-application\PaddleX\paddlex\repo_apis\base\runner.py", line 308, in _tee_proc_call proc = await proc_call File "D:\software\aconda\envs\dbgpt_env\lib\asyncio\subprocess.py", line 218, in create_subprocess_exec transport, protocol = await loop.subprocess_exec( File "D:\software\aconda\envs\dbgpt_env\lib\asyncio\base_events.py", line 1681, in subprocess_exec transport = await self._make_subprocess_transport( File "D:\software\aconda\envs\dbgpt_env\lib\asyncio\windows_events.py", line 399, in _make_subprocess_transport transp = _WindowsSubprocessTransport(self, protocol, args, shell, File "D:\software\aconda\envs\dbgpt_env\lib\asyncio\base_subprocess.py", line 36, in init self._start(args=args, shell=shell, stdin=stdin, stdout=stdout, File "D:\software\aconda\envs\dbgpt_env\lib\asyncio\windows_events.py", line 901, in _start File "D:\software\aconda\envs\dbgpt_env\lib\asyncio\windows_utils.py", line 153, in init super().init(args, stdin=stdin_rfd, stdout=stdout_wfd, File "D:\software\aconda\envs\dbgpt_env\lib\subprocess.py", line 971, in init File "D:\software\aconda\envs\dbgpt_env\lib\subprocess.py", line 1456, in _execute_child hp, ht, pid, tid = _winapi.CreateProcess(executable, args, NotADirectoryError: [WinError 267] 目录名称无效。 Unknown option: -e

[changdazhou]

尝试将dataset_dir的路径修改成windows目录表达形式看看

[syge]

改成使用绝对路径，依然报上述错误 python main.py -c paddlex/configs/multilabel_classification/PP-LCNet_x1_0_ML.yaml -o Global.mode=train -o Global.dataset_dir=D:\python-application\PaddleX\dataset\mlcls_nus_examples

[changdazhou]

这样试一下呢：D:\python-application\PaddleX\dataset\mlcls_nus_examples