[PaddlePaddle/PaddleOCR]PPLCNetNew找不到對應模型

不是“PPLCNetNewV3”而是“PPLCNetV3”

不是“PPLCNetNewV3”而是“PPLCNetV3”

PPLCNetV3 我改成了这个，但是也是一样的报错。

把PPLCNetNew改成PPLCNetV3，在添加一行det: true

添加det: true后， 训练会遇到另外报错

Traceback (most recent call last):
  File "/mnt/home/sp/projects/PaddleOCR/tools/train.py", line 228, in <module>
    main(config, device, logger, vdl_writer)
  File "/mnt/home/sp/projects/PaddleOCR/tools/train.py", line 199, in main
    program.train(config, train_dataloader, valid_dataloader, device, model,
  File "/mnt/home/sp/projects/PaddleOCR/tools/program.py", line 334, in train
    post_result = post_process_class(preds, batch[1])
  File "/mnt/home/sp/projects/PaddleOCR/ppocr/postprocess/db_postprocess.py", line 275, in __call__
    results[k] = self.post_process(predicts[k], shape_list=shape_list)
  File "/mnt/home/sp/projects/PaddleOCR/ppocr/postprocess/db_postprocess.py", line 229, in __call__
    src_h, src_w, ratio_h, ratio_w = shape_list[batch_index]
ValueError: too many values to unpack (expected 4)
I1013 19:03:27.982057 679392 tcp_store.cc:273] receive shutdown event and so quit from MasterDaemon run loop

调试进入 ppocr/postprocess/db_postprocess.py文件中229lines

        for batch_index in range(pred.shape[0]):
            src_h, src_w, ratio_h, ratio_w = shape_list[batch_index]
            if self.dilation_kernel is not None:
                mask = cv2.dilate(
                    np.array(segmentation[batch_index]).astype(np.uint8),
                    self.dilation_kernel)

发现shappe_list是一个 batch_size 640(height) 640(width) 的数组， 显然下标访问后取值无法返回src_h, src_w, ratio_h, ratio_w

https://github.com/PaddlePaddle/PaddleOCR/issues/5710

Traceback (most recent call last): File "tools/train.py", line 227, in main(config, device, logger, vdl_writer) File "tools/train.py", line 135, in main model = build_model(config['Architecture']) File "D:\PaddleOCR\PaddleOCR-release-2.7\ppocr\modeling\architectures__init.py", line 34, in build_model arch = getattr(mod, name)(config) File "D:\PaddleOCR\PaddleOCR-release-2.7\ppocr\modeling\architectures\distillation_model.py", line 47, in init model = BaseModel(model_config) File "D:\PaddleOCR\PaddleOCR-release-2.7\ppocr\modeling\architectures\base_model.py", line 67, in init__ self.neck = build_neck(config['Neck']) File "D:\PaddleOCR\PaddleOCR-release-2.7\ppocr\modeling\necks__init.py", line 42, in build_neck module_class = eval(module_name)(**config) File "D:\PaddleOCR\PaddleOCR-release-2.7\ppocr\modeling\necks\db_fpn.py", line 240, in init__ for i in range(len(in_channels)): TypeError: object of type 'int' has no len()

an'zh按照这个改了还是报错

加上 det: true 直接

把PPLCNetNew改成PPLCNetV3，在添加一行det: true

这个是正解

只有设定了det: true，才能走输出序列这个条件分支。后面RSEFPN解析in_channels时，按序列来解，才不会报错。

添加det: true后， 训练会遇到另外报错

Traceback (most recent call last):
  File "/mnt/home/sp/projects/PaddleOCR/tools/train.py", line 228, in <module>
    main(config, device, logger, vdl_writer)
  File "/mnt/home/sp/projects/PaddleOCR/tools/train.py", line 199, in main
    program.train(config, train_dataloader, valid_dataloader, device, model,
  File "/mnt/home/sp/projects/PaddleOCR/tools/program.py", line 334, in train
    post_result = post_process_class(preds, batch[1])
  File "/mnt/home/sp/projects/PaddleOCR/ppocr/postprocess/db_postprocess.py", line 275, in __call__
    results[k] = self.post_process(predicts[k], shape_list=shape_list)
  File "/mnt/home/sp/projects/PaddleOCR/ppocr/postprocess/db_postprocess.py", line 229, in __call__
    src_h, src_w, ratio_h, ratio_w = shape_list[batch_index]
ValueError: too many values to unpack (expected 4)
I1013 19:03:27.982057 679392 tcp_store.cc:273] receive shutdown event and so quit from MasterDaemon run loop

调试进入 ppocr/postprocess/db_postprocess.py文件中229lines

        for batch_index in range(pred.shape[0]):
            src_h, src_w, ratio_h, ratio_w = shape_list[batch_index]
            if self.dilation_kernel is not None:
                mask = cv2.dilate(
                    np.array(segmentation[batch_index]).astype(np.uint8),
                    self.dilation_kernel)

发现shappe_list是一个 batch_size 640(height) 640(width) 的数组， 显然下标访问后取值无法返回src_h, src_w, ratio_h, ratio_w

我也遇到了跟你一样的问题，请问你解决了吗？

@KongXCai just set: cal_metric_during_train: false

把PPLCNetNew改成PPLCNetV3，在添加一行det: true

这个student1和student2都要做修改么，我两个都修改了以后，有非常多层的参数无法加载不到模型中

把PPLCNetNew改成PPLCNetV3，在添加一行det: true

这个student1和student2都要做修改么，我两个都修改了以后，有非常多层的参数无法加载不到模型中

解决了么？我也是PPLCNetNew改成PPLCNetV3之后，student1和student2都加了 det: true，也试过单独加 student1，结果还是报错