AttributeError: 'OCRPipeline' object has no attribute 'update_model_name'

[350050183]

官方demo paddlex --pipeline OCR --model PP-OCRv4_mobile_det PP-OCRv4_mobile_rec --input https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/general_ocr_002.png --device cpu

报错：

AttributeError: 'OCRPipeline' object has no attribute 'update_model_name'

检查了base/pipeline.py，发现仍有这个方法，但是OCRPipeline里却没有了？

PaddlePaddle 3.0.0-beta1 macOS M2

[cuicheng01]

您好，该问题已经修复，麻烦重新测试下呢？

[350050183]

您好，该问题已经修复，麻烦重新测试下呢？

gitee不会同步更新？

[350050183]

@TingquanGao @cuicheng01

请问一下使用PaddleX的PaddleOCR功能，执行文本检测可以返回正确的结果，但是文本识别就报错，是什么原因呢？

文本检测 代码 python main.py -c paddlex/configs/text_detection/PP-OCRv4_server_det.yaml -o Global.mode=predict -o Predict.model_dir="./output2/best_accuracy" -o Predict.input_path=1.png

会打印tensor系列出来。

文本识别 代码 python main.py -c paddlex/configs/text_recognition/PP-OCRv4_server_rec.yaml -o Global.mode=predict -o Predict.model_dir="./output2/best_accuracy" -o Predict.input_path=1.png

会返回错误

assert post_process_cfg['name'] == 'CTCLabelDecode'

Traceback (most recent call last): File "/Users/bill/Downloads/paddlex-3.0/PaddleX/paddlex/utils/result_saver.py", line 30, in wrap result = func(self, *args, kwargs) File "/Users/bill/Downloads/paddlex-3.0/PaddleX/paddlex/engine.py", line 49, in run predictor = build_predictor(self.config) File "/Users/bill/Downloads/paddlex-3.0/PaddleX/paddlex/modules/base/predictor/predictor.py", line 189, in build_predictor return PredictorBuilderByConfig(*args, *kwargs) File "/Users/bill/Downloads/paddlex-3.0/PaddleX/paddlex/modules/base/predictor/predictor.py", line 173, in init self.predictor = BasePredictor.get(model_name)( File "/Users/bill/Downloads/paddlex-3.0/PaddleX/paddlex/modules/base/predictor/utils/node.py", line 43, in _wrapper ret = init_func(self, args, kwargs) File "/Users/bill/Downloads/paddlex-3.0/PaddleX/paddlex/modules/base/predictor/predictor.py", line 56, in init self.pre_tfs, self.post_tfs = self.build_transforms(pre_transforms, File "/Users/bill/Downloads/paddlex-3.0/PaddleX/paddlex/modules/base/predictor/predictor.py", line 70, in build_transforms post_tfs = post_transforms if post_transforms is not None else self._get_post_transforms_from_config( File "/Users/bill/Downloads/paddlex-3.0/PaddleX/paddlex/modules/text_recognition/predictor/predictor.py", line 79, in _get_post_transforms_from_config T.CTCLabelDecode(self.other_src.PostProcess), T.PrintResult() File "/Users/bill/Downloads/paddlex-3.0/PaddleX/paddlex/modules/base/predictor/utils/node.py", line 43, in _wrapper ret = init_func(self, *args, **kwargs) File "/Users/bill/Downloads/paddlex-3.0/PaddleX/paddlex/modules/text_recognition/predictor/transforms.py", line 187, in init assert post_process_cfg['name'] == 'CTCLabelDecode' AssertionError

如果使用以下命令

python main.py -c paddlex/configs/text_recognition/PP-OCRv4_server_rec.yaml -o Global.mode=predict -o Predict.model_dir="./output2/best_accuracy" -o Predict.input_path=1.png -o Predict.post_transforms=CTCLabelDecode -o Global.device=cpu

又会报错

A new field (post_transforms) detected! Traceback (most recent call last): File "/Users/bill/Downloads/paddlex-3.0/PaddleX/paddlex/utils/result_saver.py", line 30, in wrap result = func(self, *args, **kwargs) File "/Users/bill/Downloads/paddlex-3.0/PaddleX/paddlex/engine.py", line 50, in run return predictor.predict() File "/Users/bill/Downloads/paddlex-3.0/PaddleX/paddlex/modules/base/predictor/predictor.py", line 183, in predict self.predictor.predict({'input_path': self.input_path}) File "/Users/bill/Downloads/paddlex-3.0/PaddleX/paddlex/modules/base/predictor/predictor.py", line 93, in predict mini_batch = self._run(batch_input=mini_batch) File "/Users/bill/Downloads/paddlex-3.0/PaddleX/paddlex/modules/text_recognition/predictor/predictor.py", line 59, in _run outputs = self.predictor.predict([input]) File "/Users/bill/Downloads/paddlex-3.0/PaddleX/paddlex/modules/base/predictor/utils/paddle_inference_predictor.py", line 138, in predict self.predictor.run() ValueError: (InvalidArgument) Broadcast dimension mismatch. Operands could not be broadcast together with the shape of X = [1, 256, 3, 20] and the shape of Y = [1, 256, 4, 20]. Received [3] in X is not equal to [4] in Y at i:2. [Hint: Expected x_dims_array[i] == y_dims_array[i] || x_dims_array[i] <= 1 || y_dims_array[i] <= 1 == true, but received x_dims_array[i] == y_dims_array[i] || x_dims_array[i] <= 1 || y_dims_array[i] <= 1:0 != true:1.] (at /Users/paddle/xly/workspace/1622fd51-38d0-4d14-8168-9796039928d6/Paddle/paddle/phi/kernels/funcs/common_shape.h:84) [operator < elementwise_add > error]

• 报错里的 /Users/paddle/xly/ 是 谁？

[TingquanGao]

这个目录的模型./output2/best_accuracy是检测模型还是识别模型？是使用什么命令训练得到的呢？

[350050183]

这个目录的模型./output2/best_accuracy是检测模型还是识别模型？是使用什么命令训练得到的呢？

python main.py -c ./train.yaml -o Global.mode=train -o Global.device=cpu -o Global.dataset_dir=./dataset_dir/

train.yaml的主要内容

Global: model: PP-OCRv4_mobile_det mode: check_dataset # check_dataset/train/evaluate/predict module: text_det dataset_dir: "/paddle/dataset/paddlex/ocr_det/ocr_det_dataset_examples" device: cpu:0,1,2,3 output: "output" CheckDataset: convert: enable: False src_dataset_type: null split: enable: False train_percent: null val_percent: null Train: epochs_iters: 100 batch_size: 8 learning_rate: 0.001 pretrain_weight_path: null

[TingquanGao]

通过训练使用的配置文件可以看出来，模型./output2/best_accuracy是检测模型，所以使用该模型文件执行文本识别肯定会报错的。

[350050183]

通过训练使用的配置文件可以看出来，模型./output2/best_accuracy是检测模型，所以使用该模型文件执行文本识别肯定会报错的。

我指令有覆盖配置文件里的。

[TingquanGao]

什么意思？

[350050183]

什么意思？

python main.py -c ./train.yaml -o Global.mode=train -o Global.device=cpu -o Global.dataset_dir=./dataset_dir/

这里有指令是train，不是check_dataset

[TingquanGao]

train没问题，但训练的是检测模型啊：PP-OCRv4_mobile_det，所以训练产出的模型文件./output2/best_accuracy也是检测模型的相关文件，这些文件是无法用于执行识别的。

[350050183]

我换成 PP-OCRv4_mobile_rec试下

[TingquanGao]

建议直接使用paddlex/configs/text_recognition/PP-OCRv4_mobile_rec.yaml这个配置文件来做训练和推理。

[350050183]

好的，谢谢

[350050183]

@TingquanGao

python main.py -c paddlex/configs/text_recognition/PP-OCRv4_mobile_rec.yaml -o Global.mode=train -o Global.device=cpu -o Train.epochs_iters=10 -o Global.dataset_dir=./dataset_dir/

环境

apple mini m2 pythone3.9 pip freeze|grep paddle paddle2onnx==1.0.9 paddleclas @ file:///Users/bill/Downloads/paddlex-3.0/PaddleX/paddlex/repo_manager/repos/PaddleClas paddledet @ file:///Users/bill/Downloads/paddlex-3.0/PaddleX/paddlex/repo_manager/repos/PaddleDetection paddlefsl==1.1.0 paddlenlp @ file:///Users/bill/Downloads/paddlex-3.0/PaddleX/paddlex/repo_manager/repos/PaddleNLP paddleocr==2.8.1 paddlepaddle==3.0.0b1 paddleseg @ file:///Users/bill/Downloads/paddlex-3.0/PaddleX/paddlex/repo_manager/repos/PaddleSeg paddlets @ file:///Users/bill/Downloads/paddlex-3.0/PaddleX/paddlex/repo_manager/repos/PaddleTS -e git+https://github.com/PaddlePaddle/PaddleX.git@26666082d165514c1388f7909d99112792846b05#egg=paddlex

报错

I0722 13:51:08.804592 4032089088 kernel_dispatch.h:102] Get BackendSet from tensor I0722 13:51:08.804601 4032089088 kernel_dispatch.h:102] Get BackendSet from tensor [2024/07/22 13:51:08] ppocr INFO: train dataloader has 30 iters [2024/07/22 13:51:08] ppocr INFO: valid dataloader has 10 iters download https://paddleocr.bj.bcebos.com/pretrained/ch_PP-OCRv4_rec_trained.pdparams to /Users/bill/.paddleocr/models/ch_PP-OCRv4_rec_trained.pdparams 100%|██████████| 92.1M/92.1M [00:01<00:00, 50.1MiB/s] [2024/07/22 13:51:11] ppocr WARNING: The shape of model params head.ctc_head.fc.weight [120, 1035] not matched with loaded params head.ctc_head.fc.weight [120, 6625] ! [2024/07/22 13:51:11] ppocr WARNING: The shape of model params head.ctc_head.fc.bias [1035] not matched with loaded params head.ctc_head.fc.bias [6625] ! [2024/07/22 13:51:11] ppocr WARNING: The shape of model params head.gtc_head.embedding.embedding.weight [1039, 384] not matched with loaded params head.gtc_head.embedding.embedding.weight [6629, 384] ! [2024/07/22 13:51:11] ppocr WARNING: The shape of model params head.gtc_head.tgt_word_prj.weight [384, 1039] not matched with loaded params head.gtc_head.tgt_word_prj.weight [384, 6629] ! [2024/07/22 13:51:11] ppocr INFO: load pretrain successful from /Users/bill/.paddleocr/models/ch_PP-OCRv4_rec_trained [2024/07/22 13:51:11] ppocr INFO: During the training process, after the 0th iteration, an evaluation is run every 30 iterations Exception in thread Thread-3: Traceback (most recent call last): File "/Users/bill/Downloads/paddlex-3.0/PaddleX/paddlex/repo_manager/repos/PaddleOCR/ppocr/data/simple_dataset.py", line 247, in getitem outs = transform(data, self.ops[:-1]) File "/Users/bill/Downloads/paddlex-3.0/PaddleX/paddlex/repo_manager/repos/PaddleOCR/ppocr/data/imaug/init.py", line 56, in transform data = op(data) File "/Users/bill/Downloads/paddlex-3.0/PaddleX/paddlex/repo_manager/repos/PaddleOCR/ppocr/data/imaug/rec_img_aug.py", line 53, in call data = self.bda(data) File "/Users/bill/Downloads/paddlex-3.0/PaddleX/paddlex/repo_manager/repos/PaddleOCR/ppocr/data/imaug/rec_img_aug.py", line 93, in call img = add_gasuss_noise(img) File "/Users/bill/Downloads/paddlex-3.0/PaddleX/paddlex/repo_manager/repos/PaddleOCR/ppocr/data/imaug/rec_img_aug.py", line 726, in add_gasuss_noise out = np.clip(out, 0, 255) File "<__array_function__ internals>", line 180, in clip File "/Users/bill/anaconda3/envs/paddlex/lib/python3.9/site-packages/numpy/core/fromnumeric.py", line 2154, in clip return _wrapfunc(a, 'clip', a_min, a_max, out=out, *kwargs) File "/Users/bill/anaconda3/envs/paddlex/lib/python3.9/site-packages/numpy/core/fromnumeric.py", line 57, in _wrapfunc return bound(args, **kwds) File "/Users/bill/anaconda3/envs/paddlex/lib/python3.9/site-packages/numpy/core/_methods.py", line 135, in _clip if _clip_dep_is_scalar_nan(min): File "/Users/bill/anaconda3/envs/paddlex/lib/python3.9/site-packages/numpy/core/_methods.py", line 95, in _clip_dep_is_scalar_nan if ndim(a) != 0: File "<__array_function__ internals>", line 180, in ndim RecursionError: maximum recursion depth exceeded

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "/Users/bill/anaconda3/envs/paddlex/lib/python3.9/threading.py", line 980, in _bootstrap_inner self.run() File "/Users/bill/anaconda3/envs/paddlex/lib/python3.9/threading.py", line 917, in run self._target(*self._args, *self._kwargs) File "/Users/bill/anaconda3/envs/paddlex/lib/python3.9/site-packages/paddle/io/dataloader/dataloader_iter.py", line 242, in _thread_loop batch = self._dataset_fetcher.fetch( File "/Users/bill/anaconda3/envs/paddlex/lib/python3.9/site-packages/paddle/io/dataloader/fetcher.py", line 77, in fetch data.append(self.dataset[idx]) File "/Users/bill/Downloads/paddlex-3.0/PaddleX/paddlex/repo_manager/repos/PaddleOCR/ppocr/data/simple_dataset.py", line 259, in getitem return self.getitem([img_width, img_height, rnd_idx, wh_ratio]) File "/Users/bill/Downloads/paddlex-3.0/PaddleX/paddlex/repo_manager/repos/PaddleOCR/ppocr/data/simple_dataset.py", line 259, in getitem return self.getitem([img_width, img_height, rnd_idx, wh_ratio]) File "/Users/bill/Downloads/paddlex-3.0/PaddleX/paddlex/repo_manager/repos/PaddleOCR/ppocr/data/simple_dataset.py", line 259, in getitem return self.getitem([img_width, img_height, rnd_idx, wh_ratio]) [Previous line repeated 976 more times] File "/Users/bill/Downloads/paddlex-3.0/PaddleX/paddlex/repo_manager/repos/PaddleOCR/ppocr/data/simple_dataset.py", line 254, in getitem data_line, traceback.format_exc())) File "/Users/bill/anaconda3/envs/paddlex/lib/python3.9/traceback.py", line 167, in format_exc return "".join(format_exception(sys.exc_info(), limit=limit, chain=chain)) File "/Users/bill/anaconda3/envs/paddlex/lib/python3.9/traceback.py", line 120, in format_exception return list(TracebackException( File "/Users/bill/anaconda3/envs/paddlex/lib/python3.9/site-packages/exceptiongroup/_formatting.py", line 248, in format yield from _ctx.emit(exc.format_exception_only()) File "/Users/bill/anaconda3/envs/paddlex/lib/python3.9/site-packages/exceptiongroup/_formatting.py", line 64, in emit for text in text_gen: File "/Users/bill/anaconda3/envs/paddlex/lib/python3.9/site-packages/exceptiongroup/_formatting.py", line 335, in format_exception_only if isinstance(self.notes, collections.abc.Sequence): File "/Users/bill/anaconda3/envs/paddlex/lib/python3.9/abc.py", line 119, in instancecheck return _abc_instancecheck(cls, instance) File "/Users/bill/anaconda3/envs/paddlex/lib/python3.9/abc.py", line 123, in subclasscheck return _abc_subclasscheck(cls, subclass) File "/Users/bill/anaconda3/envs/paddlex/lib/python3.9/abc.py", line 123, in subclasscheck return _abc_subclasscheck(cls, subclass) RecursionError: maximum recursion depth exceeded

[350050183]

卡死了在上面的错误里

[cuicheng01]

我看你使用的是cpu训练，非常不建议哈，因为这些模型至少也都需要单卡gpu来训练

[350050183]

我看你使用的是cpu训练，非常不建议哈，因为这些模型至少也都需要单卡gpu来训练

但是paddlepaddle不支持mac的GPU

Currently, only the CPU version of PaddlePaddle is supported in the macOS environment

https://www.paddlepaddle.org.cn/documentation/docs/en/install/pip/macos-pip_en.html

[cuicheng01]

嗯嗯，这里特指NV的GPU

[350050183]

嗯嗯，这里特指NV的GPU

paddleX的paddleOCR套件也不支持paddle2.6.1，非得要安装paddle3.0，paddle3.0又不支持macOS 各种不兼容。 难道只能使用NV GPU才能玩了？

[350050183]

tensorflow 在 macos 安装以下组件是能支持GPU的 pip install tensorflow-macos tensorflow-metal