文字识别训练在初始化dataset的索引时时报错list index out of range,然后会卡在During the training process, after the 0th iteration, an evaluation is run every 2000 iterations

[xiaoli0822]

请提供下述完整信息以便快速定位问题/Please provide the following information to quickly locate the problem

• 系统环境/System Environment：windows11
• 版本号/Version：Paddle：2.6.1 PaddleOCR：2.7.5 问题相关组件/Related components：
• 运行指令/Command Code：python tools/train.py -c configs/rec/PP-OCRv3/ch_PP-OCRv3_rec_distillation.yml
• 完整报错/Complete Error Message：

(PaddleOcr) ~\Desktop\PaddleOCR git:[main]

python tools/train.py -c configs/rec/PP-OCRv3/ch_PP-OCRv3_rec_distillation.yml

[2024/05/11 09:03:45] ppocr INFO: Architecture : 

[2024/05/11 09:03:45] ppocr INFO:     Models : 

[2024/05/11 09:03:45] ppocr INFO:         Student : 

[2024/05/11 09:03:45] ppocr INFO:             Backbone : 

[2024/05/11 09:03:45] ppocr INFO:                 last_conv_stride : [1, 2]

[2024/05/11 09:03:45] ppocr INFO:                 last_pool_kernel_size : [2, 2]

[2024/05/11 09:03:45] ppocr INFO:                 last_pool_type : avg

[2024/05/11 09:03:45] ppocr INFO:                 name : MobileNetV1Enhance

[2024/05/11 09:03:45] ppocr INFO:                 scale : 0.5

[2024/05/11 09:03:45] ppocr INFO:             Head : 

[2024/05/11 09:03:45] ppocr INFO:                 head_list : 

[2024/05/11 09:03:45] ppocr INFO:                     CTCHead : 

[2024/05/11 09:03:45] ppocr INFO:                         Head :

[2024/05/11 09:03:45] ppocr INFO:                             fc_decay : 1e-05

[2024/05/11 09:03:45] ppocr INFO:                         Neck :

[2024/05/11 09:03:45] ppocr INFO:                             depth : 2

[2024/05/11 09:03:45] ppocr INFO:                             dims : 64

[2024/05/11 09:03:45] ppocr INFO:                             hidden_dims : 120

[2024/05/11 09:03:45] ppocr INFO:                             name : svtr

[2024/05/11 09:03:45] ppocr INFO:                             use_guide : True

[2024/05/11 09:03:45] ppocr INFO:                     SARHead :

[2024/05/11 09:03:45] ppocr INFO:                         enc_dim : 512

[2024/05/11 09:03:45] ppocr INFO:                         max_text_length : 25

[2024/05/11 09:03:45] ppocr INFO:                 name : MultiHead

[2024/05/11 09:03:45] ppocr INFO:             Transform : None

[2024/05/11 09:03:45] ppocr INFO:             algorithm : SVTR_LCNet

[2024/05/11 09:03:45] ppocr INFO:             freeze_params : False

[2024/05/11 09:03:45] ppocr INFO:             model_type : rec

[2024/05/11 09:03:45] ppocr INFO:             pretrained : None

[2024/05/11 09:03:45] ppocr INFO:             return_all_feats : True

[2024/05/11 09:03:45] ppocr INFO:         Teacher :

[2024/05/11 09:03:45] ppocr INFO:             Backbone :

[2024/05/11 09:03:45] ppocr INFO:                 last_conv_stride : [1, 2]

[2024/05/11 09:03:45] ppocr INFO:                 last_pool_kernel_size : [2, 2]

[2024/05/11 09:03:45] ppocr INFO:                 last_pool_type : avg

[2024/05/11 09:03:45] ppocr INFO:                 name : MobileNetV1Enhance

[2024/05/11 09:03:45] ppocr INFO:                 scale : 0.5

[2024/05/11 09:03:45] ppocr INFO:             Head :

[2024/05/11 09:03:45] ppocr INFO:                 head_list :

[2024/05/11 09:03:45] ppocr INFO:                     CTCHead :

[2024/05/11 09:03:45] ppocr INFO:                         Head :

[2024/05/11 09:03:45] ppocr INFO:                              fc_decay : 1e-05

[2024/05/11 09:03:45] ppocr INFO:                         Neck :

[2024/05/11 09:03:45] ppocr INFO:                             depth : 2

[2024/05/11 09:03:45] ppocr INFO:                             dims : 64

[2024/05/11 09:03:45] ppocr INFO:                             hidden_dims : 120

[2024/05/11 09:03:45] ppocr INFO:                             name : svtr

[2024/05/11 09:03:45] ppocr INFO:                             use_guide : True

[2024/05/11 09:03:45] ppocr INFO:                     SARHead :

[2024/05/11 09:03:45] ppocr INFO:                         enc_dim : 512

[2024/05/11 09:03:45] ppocr INFO:                         max_text_length : 25

[2024/05/11 09:03:45] ppocr INFO:                 name : MultiHead

[2024/05/11 09:03:45] ppocr INFO:             Transform : None

[2024/05/11 09:03:45] ppocr INFO:             algorithm : SVTR_LCNet

[2024/05/11 09:03:45] ppocr INFO:             freeze_params : False

[2024/05/11 09:03:45] ppocr INFO:             model_type : rec

[2024/05/11 09:03:45] ppocr INFO:             pretrained : None

[2024/05/11 09:03:45] ppocr INFO:             return_all_feats : True

[2024/05/11 09:03:45] ppocr INFO:     algorithm : Distillation

[2024/05/11 09:03:45] ppocr INFO:     model_type : rec

[2024/05/11 09:03:45] ppocr INFO:     name : DistillationModel

[2024/05/11 09:03:45] ppocr INFO: Eval :

[2024/05/11 09:03:45] ppocr INFO:     dataset :

[2024/05/11 09:03:45] ppocr INFO:         data_dir : ./train_data/rec/

[2024/05/11 09:03:45] ppocr INFO:         label_file_list : ['./train_data/rec/label.txt']

[2024/05/11 09:03:45] ppocr INFO:         name : SimpleDataSet

[2024/05/11 09:03:45] ppocr INFO:         transforms :

[2024/05/11 09:03:45] ppocr INFO:             DecodeImage :

[2024/05/11 09:03:45] ppocr INFO:                 channel_first : False

[2024/05/11 09:03:45] ppocr INFO:                 img_mode : BGR

[2024/05/11 09:03:45] ppocr INFO:             MultiLabelEncode : None

[2024/05/11 09:03:45] ppocr INFO:             RecResizeImg :

[2024/05/11 09:03:45] ppocr INFO:                 image_shape : [3, 48, 320]

[2024/05/11 09:03:45] ppocr INFO:             KeepKeys :

[2024/05/11 09:03:45] ppocr INFO:                 keep_keys : ['image', 'label_ctc', 'label_sar', 'length', 'valid_ratio']

[2024/05/11 09:03:45] ppocr INFO:     loader :

[2024/05/11 09:03:45] ppocr INFO:         batch_size_per_card : 128

[2024/05/11 09:03:45] ppocr INFO:         drop_last : False

[2024/05/11 09:03:45] ppocr INFO:         num_workers : 4

[2024/05/11 09:03:45] ppocr INFO:         shuffle : False

[2024/05/11 09:03:45] ppocr INFO: Global :

[2024/05/11 09:03:45] ppocr INFO:     cal_metric_during_train : True

[2024/05/11 09:03:45] ppocr INFO:     character_dict_path : ppocr/utils/ppocr_keys_v1.txt

[2024/05/11 09:03:45] ppocr INFO:     checkpoints : None

[2024/05/11 09:03:45] ppocr INFO:     d2s_train_image_shape : [3, 48, -1]

[2024/05/11 09:03:45] ppocr INFO:     debug : False

[2024/05/11 09:03:45] ppocr INFO:     distributed : False

[2024/05/11 09:03:45] ppocr INFO:     epoch_num : 800

[2024/05/11 09:03:45] ppocr INFO:     eval_batch_step : [0, 2000]

[2024/05/11 09:03:45] ppocr INFO:     infer_img : doc/imgs_words/ch/word_1.jpg

[2024/05/11 09:03:45] ppocr INFO:     infer_mode : False

[2024/05/11 09:03:45] ppocr INFO:     log_smooth_window : 20

[2024/05/11 09:03:45] ppocr INFO:     max_text_length : 25

[2024/05/11 09:03:45] ppocr INFO:     pretrained_model : ./pretrain_models/ch_PP-OCRv3_rec_train/best_accuracy

[2024/05/11 09:03:45] ppocr INFO:     print_batch_step : 10

[2024/05/11 09:03:45] ppocr INFO:     save_epoch_step : 3

[2024/05/11 09:03:45] ppocr INFO:     save_inference_dir : None

[2024/05/11 09:03:45] ppocr INFO:     save_model_dir : ./output/rec_ppocr_v3_distillation

[2024/05/11 09:03:45] ppocr INFO:     save_res_path : ./output/rec/predicts_ppocrv3_distillation.txt

[2024/05/11 09:03:45] ppocr INFO:     use_gpu : False

[2024/05/11 09:03:45] ppocr INFO:     use_space_char : True

[2024/05/11 09:03:45] ppocr INFO:     use_visualdl : False

[2024/05/11 09:03:45] ppocr INFO: Loss :

[2024/05/11 09:03:45] ppocr INFO:     loss_config_list :

[2024/05/11 09:03:45] ppocr INFO:         DistillationDMLLoss :

[2024/05/11 09:03:45] ppocr INFO:             act : softmax

[2024/05/11 09:03:45] ppocr INFO:             dis_head : ctc

[2024/05/11 09:03:45] ppocr INFO:             key : head_out

[2024/05/11 09:03:45] ppocr INFO:             model_name_pairs : [['Student', 'Teacher']]

[2024/05/11 09:03:45] ppocr INFO:             multi_head : True

[2024/05/11 09:03:45] ppocr INFO:             name : dml_ctc

[2024/05/11 09:03:45] ppocr INFO:             use_log : True

[2024/05/11 09:03:45] ppocr INFO:             weight : 1.0

[2024/05/11 09:03:45] ppocr INFO:         DistillationDMLLoss :

[2024/05/11 09:03:45] ppocr INFO:             act : softmax

[2024/05/11 09:03:45] ppocr INFO:             dis_head : sar

[2024/05/11 09:03:45] ppocr INFO:             key : head_out

[2024/05/11 09:03:45] ppocr INFO:             model_name_pairs : [['Student', 'Teacher']]

[2024/05/11 09:03:45] ppocr INFO:             multi_head : True

[2024/05/11 09:03:45] ppocr INFO:             name : dml_sar

[2024/05/11 09:03:45] ppocr INFO:             use_log : True

[2024/05/11 09:03:45] ppocr INFO:             weight : 0.5

[2024/05/11 09:03:45] ppocr INFO:         DistillationDistanceLoss :

[2024/05/11 09:03:45] ppocr INFO:             key : backbone_out

[2024/05/11 09:03:45] ppocr INFO:             mode : l2

[2024/05/11 09:03:45] ppocr INFO:             model_name_pairs : [['Student', 'Teacher']]

[2024/05/11 09:03:45] ppocr INFO:             weight : 1.0

[2024/05/11 09:03:45] ppocr INFO:         DistillationCTCLoss :

[2024/05/11 09:03:45] ppocr INFO:             key : head_out

[2024/05/11 09:03:45] ppocr INFO:             model_name_list : ['Student', 'Teacher']

[2024/05/11 09:03:45] ppocr INFO:             multi_head : True

[2024/05/11 09:03:45] ppocr INFO:             weight : 1.0

[2024/05/11 09:03:45] ppocr INFO:         DistillationSARLoss :

[2024/05/11 09:03:45] ppocr INFO:             key : head_out

[2024/05/11 09:03:45] ppocr INFO:             model_name_list : ['Student', 'Teacher']

[2024/05/11 09:03:45] ppocr INFO:             multi_head : True

[2024/05/11 09:03:45] ppocr INFO:             weight : 1.0

[2024/05/11 09:03:45] ppocr INFO:     name : CombinedLoss

[2024/05/11 09:03:45] ppocr INFO: Metric :

[2024/05/11 09:03:45] ppocr INFO:     base_metric_name : RecMetric

[2024/05/11 09:03:45] ppocr INFO:     ignore_space : False

[2024/05/11 09:03:45] ppocr INFO:     key : Student

[2024/05/11 09:03:45] ppocr INFO:     main_indicator : acc

[2024/05/11 09:03:45] ppocr INFO:     name : DistillationMetric

[2024/05/11 09:03:45] ppocr INFO: Optimizer :

[2024/05/11 09:03:45] ppocr INFO:     beta1 : 0.9

[2024/05/11 09:03:45] ppocr INFO:     beta2 : 0.999

[2024/05/11 09:03:45] ppocr INFO:     lr :

[2024/05/11 09:03:45] ppocr INFO:         decay_epochs : [700]

[2024/05/11 09:03:45] ppocr INFO:         name : Piecewise

[2024/05/11 09:03:45] ppocr INFO:         values : [0.0005, 5e-05]

[2024/05/11 09:03:45] ppocr INFO:         warmup_epoch : 5

[2024/05/11 09:03:45] ppocr INFO:     name : Adam

[2024/05/11 09:03:45] ppocr INFO:     regularizer :

[2024/05/11 09:03:45] ppocr INFO:         factor : 3e-05

[2024/05/11 09:03:45] ppocr INFO:         name : L2

[2024/05/11 09:03:45] ppocr INFO: PostProcess :

[2024/05/11 09:03:45] ppocr INFO:     key : head_out

[2024/05/11 09:03:45] ppocr INFO:     model_name : ['Student', 'Teacher']

[2024/05/11 09:03:45] ppocr INFO:     multi_head : True

[2024/05/11 09:03:45] ppocr INFO:     name : DistillationCTCLabelDecode

[2024/05/11 09:03:45] ppocr INFO: Train :

[2024/05/11 09:03:45] ppocr INFO:     dataset :

[2024/05/11 09:03:45] ppocr INFO:         data_dir : ./train_data/rec/

[2024/05/11 09:03:45] ppocr INFO:         ext_op_transform_idx : 1

[2024/05/11 09:03:45] ppocr INFO:         label_file_list : ['./train_data/rec/label.txt']

[2024/05/11 09:03:45] ppocr INFO:         name : SimpleDataSet

[2024/05/11 09:03:45] ppocr INFO:         transforms :

[2024/05/11 09:03:45] ppocr INFO:             DecodeImage :

[2024/05/11 09:03:45] ppocr INFO:                 channel_first : False

[2024/05/11 09:03:45] ppocr INFO:                 img_mode : BGR

[2024/05/11 09:03:45] ppocr INFO:             RecConAug :

[2024/05/11 09:03:45] ppocr INFO:                 ext_data_num : 2

[2024/05/11 09:03:45] ppocr INFO:                 image_shape : [48, 320, 3]

[2024/05/11 09:03:45] ppocr INFO:                 max_text_length : 25

[2024/05/11 09:03:45] ppocr INFO:                 prob : 0.5

[2024/05/11 09:03:45] ppocr INFO:             RecAug : None

[2024/05/11 09:03:45] ppocr INFO:             MultiLabelEncode : None

[2024/05/11 09:03:45] ppocr INFO:             RecResizeImg :

[2024/05/11 09:03:45] ppocr INFO:                 image_shape : [3, 48, 320]

[2024/05/11 09:03:45] ppocr INFO:             KeepKeys :

[2024/05/11 09:03:45] ppocr INFO:                 keep_keys : ['image', 'label_ctc', 'label_sar', 'length', 'valid_ratio']

[2024/05/11 09:03:45] ppocr INFO:     loader :

[2024/05/11 09:03:45] ppocr INFO:         batch_size_per_card : 128

[2024/05/11 09:03:45] ppocr INFO:         drop_last : True

[2024/05/11 09:03:45] ppocr INFO:         num_workers : 4

[2024/05/11 09:03:45] ppocr INFO:         shuffle : True

[2024/05/11 09:03:45] ppocr INFO: profiler_options : None

[2024/05/11 09:03:45] ppocr INFO: train with paddle 2.6.1 and device Place(cpu)

[2024/05/11 09:03:45] ppocr INFO: Initialize indexs of datasets:['./train_data/rec/label.txt']

list index out of range

[2024/05/11 09:03:45] ppocr INFO: Initialize indexs of datasets:['./train_data/rec/label.txt']

[2024/05/11 09:03:47] ppocr INFO: train dataloader has 782 iters

[2024/05/11 09:03:47] ppocr INFO: valid dataloader has 783 iters

[2024/05/11 09:03:47] ppocr INFO: load pretrain successful from ./pretrain_models/ch_PP-OCRv3_rec_train/best_accuracy

[2024/05/11 09:03:47] ppocr INFO: During the training process, after the 0th iteration, an evaluation is run every 2000 iterations

[zhangyubo0722]

将use_gpu设置为True

[xiaoli0822]

谢谢

[555myhair]

@zhangyubo0722 您好，我的use_gpu=True,但是还是卡在这里就结束了。
[2024/07/03 08:46:23] ppocr INFO: Architecture :
[2024/07/03 08:46:23] ppocr INFO: Backbone :
[2024/07/03 08:46:23] ppocr INFO: last_conv_stride : [1, 2]
[2024/07/03 08:46:23] ppocr INFO: last_pool_kernel_size : [2, 2]
[2024/07/03 08:46:23] ppocr INFO: last_pool_type : avg
[2024/07/03 08:46:23] ppocr INFO: name : MobileNetV1Enhance
[2024/07/03 08:46:23] ppocr INFO: scale : 0.5
[2024/07/03 08:46:23] ppocr INFO: Head :
[2024/07/03 08:46:23] ppocr INFO: head_list :
[2024/07/03 08:46:23] ppocr INFO: CTCHead :
[2024/07/03 08:46:23] ppocr INFO: Head :
[2024/07/03 08:46:23] ppocr INFO: fc_decay : 1e-05
[2024/07/03 08:46:23] ppocr INFO: Neck :
[2024/07/03 08:46:23] ppocr INFO: depth : 2
[2024/07/03 08:46:23] ppocr INFO: dims : 64
[2024/07/03 08:46:23] ppocr INFO: hidden_dims : 120
[2024/07/03 08:46:23] ppocr INFO: name : svtr
[2024/07/03 08:46:23] ppocr INFO: use_guide : True
[2024/07/03 08:46:23] ppocr INFO: SARHead :
[2024/07/03 08:46:23] ppocr INFO: enc_dim : 512
[2024/07/03 08:46:23] ppocr INFO: max_text_length : 25
[2024/07/03 08:46:23] ppocr INFO: name : MultiHead
[2024/07/03 08:46:23] ppocr INFO: Transform : None
[2024/07/03 08:46:23] ppocr INFO: algorithm : SVTR_LCNet
[2024/07/03 08:46:23] ppocr INFO: model_type : rec
[2024/07/03 08:46:23] ppocr INFO: Eval :
[2024/07/03 08:46:23] ppocr INFO: dataset :
[2024/07/03 08:46:23] ppocr INFO: data_dir : D:\model\PaddleOCR-release-2.7.1\train_data
[2024/07/03 08:46:23] ppocr INFO: label_file_list : ['D:\model\PaddleOCR-release-2.7.1\train_data\Label.txt']
[2024/07/03 08:46:23] ppocr INFO: name : SimpleDataSet
[2024/07/03 08:46:23] ppocr INFO: transforms :
[2024/07/03 08:46:23] ppocr INFO: DecodeImage :
[2024/07/03 08:46:23] ppocr INFO: channel_first : False
[2024/07/03 08:46:23] ppocr INFO: img_mode : BGR
[2024/07/03 08:46:23] ppocr INFO: MultiLabelEncode : None
[2024/07/03 08:46:23] ppocr INFO: RecResizeImg :
[2024/07/03 08:46:23] ppocr INFO: image_shape : [3, 48, 320]
[2024/07/03 08:46:23] ppocr INFO: KeepKeys :
[2024/07/03 08:46:23] ppocr INFO: keep_keys : ['image', 'label_ctc', 'label_sar', 'length', 'valid_ratio']
[2024/07/03 08:46:23] ppocr INFO: loader :
[2024/07/03 08:46:23] ppocr INFO: batch_size_per_card : 128
[2024/07/03 08:46:23] ppocr INFO: drop_last : False
[2024/07/03 08:46:23] ppocr INFO: num_workers : 4
[2024/07/03 08:46:23] ppocr INFO: shuffle : False
[2024/07/03 08:46:23] ppocr INFO: Global :
[2024/07/03 08:46:23] ppocr INFO: cal_metric_during_train : True
[2024/07/03 08:46:23] ppocr INFO: character_dict_path : ppocr/utils/ppocr_keys_v1.txt
[2024/07/03 08:46:23] ppocr INFO: checkpoints : None
[2024/07/03 08:46:23] ppocr INFO: debug : False
[2024/07/03 08:46:23] ppocr INFO: distributed : False
[2024/07/03 08:46:23] ppocr INFO: epoch_num : 500
[2024/07/03 08:46:23] ppocr INFO: eval_batch_step : [0, 2000]
[2024/07/03 08:46:23] ppocr INFO: infer_img : doc/imgs_words/ch/word_1.jpg
[2024/07/03 08:46:23] ppocr INFO: infer_mode : False
[2024/07/03 08:46:23] ppocr INFO: log_smooth_window : 20
[2024/07/03 08:46:23] ppocr INFO: max_text_length : 25
[2024/07/03 08:46:23] ppocr INFO: pretrained_model : ./pretrain_models/ch_ppocr_server_v2.0_rec_train/best_accuracy.pdparams
[2024/07/03 08:46:23] ppocr INFO: print_batch_step : 10
[2024/07/03 08:46:23] ppocr INFO: save_epoch_step : 3
[2024/07/03 08:46:23] ppocr INFO: save_inference_dir : None
[2024/07/03 08:46:23] ppocr INFO: save_model_dir : ./output/rec_ppocr_v3
[2024/07/03 08:46:23] ppocr INFO: save_res_path : ./output/rec/predicts_ppocrv3.txt
[2024/07/03 08:46:23] ppocr INFO: use_gpu : True
[2024/07/03 08:46:23] ppocr INFO: use_space_char : True
[2024/07/03 08:46:23] ppocr INFO: use_visualdl : False
[2024/07/03 08:46:23] ppocr INFO: Loss :
[2024/07/03 08:46:23] ppocr INFO: loss_config_list :
[2024/07/03 08:46:23] ppocr INFO: CTCLoss : None
[2024/07/03 08:46:23] ppocr INFO: SARLoss : None
[2024/07/03 08:46:23] ppocr INFO: name : MultiLoss
[2024/07/03 08:46:23] ppocr INFO: Metric :
[2024/07/03 08:46:23] ppocr INFO: ignore_space : False
[2024/07/03 08:46:23] ppocr INFO: main_indicator : acc
[2024/07/03 08:46:23] ppocr INFO: name : RecMetric
[2024/07/03 08:46:23] ppocr INFO: Optimizer :
[2024/07/03 08:46:23] ppocr INFO: beta1 : 0.9
[2024/07/03 08:46:23] ppocr INFO: beta2 : 0.999
[2024/07/03 08:46:23] ppocr INFO: lr :
[2024/07/03 08:46:23] ppocr INFO: learning_rate : 0.001
[2024/07/03 08:46:23] ppocr INFO: name : Cosine
[2024/07/03 08:46:23] ppocr INFO: warmup_epoch : 5
[2024/07/03 08:46:23] ppocr INFO: name : Adam
[2024/07/03 08:46:23] ppocr INFO: regularizer :
[2024/07/03 08:46:23] ppocr INFO: factor : 3e-05
[2024/07/03 08:46:23] ppocr INFO: name : L2
[2024/07/03 08:46:23] ppocr INFO: PostProcess :
[2024/07/03 08:46:23] ppocr INFO: name : CTCLabelDecode
[2024/07/03 08:46:23] ppocr INFO: Train :
[2024/07/03 08:46:23] ppocr INFO: dataset :
[2024/07/03 08:46:23] ppocr INFO: data_dir : D:\model\PaddleOCR-release-2.7.1\train_data
[2024/07/03 08:46:23] ppocr INFO: ext_op_transform_idx : 1
[2024/07/03 08:46:23] ppocr INFO: label_file_list : ['D:\model\PaddleOCR-release-2.7.1\train_data\Label.txt']
[2024/07/03 08:46:23] ppocr INFO: name : SimpleDataSet
[2024/07/03 08:46:23] ppocr INFO: transforms :
[2024/07/03 08:46:23] ppocr INFO: DecodeImage :
[2024/07/03 08:46:23] ppocr INFO: channel_first : False
[2024/07/03 08:46:23] ppocr INFO: img_mode : BGR
[2024/07/03 08:46:23] ppocr INFO: RecConAug :
[2024/07/03 08:46:23] ppocr INFO: ext_data_num : 2
[2024/07/03 08:46:23] ppocr INFO: image_shape : [48, 320, 3]
[2024/07/03 08:46:23] ppocr INFO: max_text_length : 25
[2024/07/03 08:46:23] ppocr INFO: prob : 0.5
[2024/07/03 08:46:23] ppocr INFO: RecAug : None
[2024/07/03 08:46:23] ppocr INFO: MultiLabelEncode : None
[2024/07/03 08:46:23] ppocr INFO: RecResizeImg :
[2024/07/03 08:46:23] ppocr INFO: image_shape : [3, 48, 320]
[2024/07/03 08:46:23] ppocr INFO: KeepKeys :
[2024/07/03 08:46:23] ppocr INFO: keep_keys : ['image', 'label_ctc', 'label_sar', 'length', 'valid_ratio']
[2024/07/03 08:46:23] ppocr INFO: loader :
[2024/07/03 08:46:23] ppocr INFO: batch_size_per_card : 128
[2024/07/03 08:46:23] ppocr INFO: drop_last : True
[2024/07/03 08:46:23] ppocr INFO: num_workers : 4
[2024/07/03 08:46:23] ppocr INFO: shuffle : True
[2024/07/03 08:46:23] ppocr INFO: profiler_options : None
[2024/07/03 08:46:23] ppocr INFO: train with paddle 2.4.2 and device Place(gpu:0)
[2024/07/03 08:46:23] ppocr INFO: Initialize indexs of datasets:['D:\model\PaddleOCR-release-2.7.1\train_data\Label.txt']
list index out of range
[2024/07/03 08:46:23] ppocr INFO: Initialize indexs of datasets:['D:\model\PaddleOCR-release-2.7.1\train_data\Label.txt']
W0703 08:46:23.446679 22432 gpu_resources.cc:61] Please NOTE: device: 0, GPU Compute Capability: 8.9, Driver API Version: 12.5, Runtime API Version: 11.7
W0703 08:46:23.446679 22432 gpu_resources.cc:91] device: 0, cuDNN Version: 8.8.
[2024/07/03 08:46:24] ppocr INFO: train dataloader has 4 iters
[2024/07/03 08:46:24] ppocr INFO: valid dataloader has 5 iters
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.conv1_1._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.conv1_1._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.conv1_1._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.conv1_1._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.conv1_1._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.conv1_2._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.conv1_2._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.conv1_2._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.conv1_2._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.conv1_2._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.conv1_3._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.conv1_3._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.conv1_3._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.conv1_3._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.conv1_3._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_0_0.conv0._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_0_0.conv0._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_0_0.conv0._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_0_0.conv0._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_0_0.conv0._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_0_0.conv1._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_0_0.conv1._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_0_0.conv1._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_0_0.conv1._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_0_0.conv1._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_0_0.short._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_0_0.short._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_0_0.short._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_0_0.short._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_0_0.short._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_0_1.conv0._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_0_1.conv0._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_0_1.conv0._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_0_1.conv0._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_0_1.conv0._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_0_1.conv1._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_0_1.conv1._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_0_1.conv1._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_0_1.conv1._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_0_1.conv1._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_0_2.conv0._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_0_2.conv0._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_0_2.conv0._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_0_2.conv0._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_0_2.conv0._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_0_2.conv1._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_0_2.conv1._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_0_2.conv1._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_0_2.conv1._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_0_2.conv1._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_0.conv0._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_0.conv0._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_0.conv0._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_0.conv0._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_0.conv0._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_0.conv1._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_0.conv1._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_0.conv1._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_0.conv1._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_0.conv1._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_0.short._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_0.short._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_0.short._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_0.short._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_0.short._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_1.conv0._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_1.conv0._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_1.conv0._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_1.conv0._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_1.conv0._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_1.conv1._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_1.conv1._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_1.conv1._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_1.conv1._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_1.conv1._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_2.conv0._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_2.conv0._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_2.conv0._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_2.conv0._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_2.conv0._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_2.conv1._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_2.conv1._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_2.conv1._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_2.conv1._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_2.conv1._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_3.conv0._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_3.conv0._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_3.conv0._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_3.conv0._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_3.conv0._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_3.conv1._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_3.conv1._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_3.conv1._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_3.conv1._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_1_3.conv1._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_0.conv0._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_0.conv0._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_0.conv0._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_0.conv0._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_0.conv0._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_0.conv1._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_0.conv1._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_0.conv1._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_0.conv1._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_0.conv1._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_0.short._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_0.short._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_0.short._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_0.short._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_0.short._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_1.conv0._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_1.conv0._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_1.conv0._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_1.conv0._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_1.conv0._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_1.conv1._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_1.conv1._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_1.conv1._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_1.conv1._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_1.conv1._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_2.conv0._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_2.conv0._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_2.conv0._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_2.conv0._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_2.conv0._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_2.conv1._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_2.conv1._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_2.conv1._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_2.conv1._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_2.conv1._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_3.conv0._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_3.conv0._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_3.conv0._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_3.conv0._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_3.conv0._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_3.conv1._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_3.conv1._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_3.conv1._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_3.conv1._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_3.conv1._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_4.conv0._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_4.conv0._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_4.conv0._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_4.conv0._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_4.conv0._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_4.conv1._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_4.conv1._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_4.conv1._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_4.conv1._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_4.conv1._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_5.conv0._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_5.conv0._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_5.conv0._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_5.conv0._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_5.conv0._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_5.conv1._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_5.conv1._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_5.conv1._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_5.conv1._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_2_5.conv1._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_3_0.conv0._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_3_0.conv0._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_3_0.conv0._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_3_0.conv0._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_3_0.conv0._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_3_0.conv1._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_3_0.conv1._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_3_0.conv1._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_3_0.conv1._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_3_0.conv1._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_3_0.short._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_3_0.short._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_3_0.short._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_3_0.short._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_3_0.short._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_3_1.conv0._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_3_1.conv0._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_3_1.conv0._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_3_1.conv0._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_3_1.conv0._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_3_1.conv1._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_3_1.conv1._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_3_1.conv1._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_3_1.conv1._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_3_1.conv1._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_3_2.conv0._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_3_2.conv0._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_3_2.conv0._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_3_2.conv0._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_3_2.conv0._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_3_2.conv1._conv.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_3_2.conv1._batch_norm.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_3_2.conv1._batch_norm.bias not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_3_2.conv1._batch_norm._mean not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params backbone.bb_3_2.conv1._batch_norm._variance not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params neck.encoder.lstm.weight_ih_l0 not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params neck.encoder.lstm.weight_hh_l0 not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params neck.encoder.lstm.bias_ih_l0 not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params neck.encoder.lstm.bias_hh_l0 not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params neck.encoder.lstm.weight_ih_l0_reverse not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params neck.encoder.lstm.weight_hh_l0_reverse not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params neck.encoder.lstm.bias_ih_l0_reverse not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params neck.encoder.lstm.bias_hh_l0_reverse not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params neck.encoder.lstm.weight_ih_l1 not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params neck.encoder.lstm.weight_hh_l1 not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params neck.encoder.lstm.bias_ih_l1 not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params neck.encoder.lstm.bias_hh_l1 not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params neck.encoder.lstm.weight_ih_l1_reverse not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params neck.encoder.lstm.weight_hh_l1_reverse not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params neck.encoder.lstm.bias_ih_l1_reverse not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params neck.encoder.lstm.bias_hh_l1_reverse not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params neck.encoder.lstm.0.cell_fw.weight_ih not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params neck.encoder.lstm.0.cell_fw.weight_hh not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params neck.encoder.lstm.0.cell_fw.bias_ih not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params neck.encoder.lstm.0.cell_fw.bias_hh not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params neck.encoder.lstm.0.cell_bw.weight_ih not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params neck.encoder.lstm.0.cell_bw.weight_hh not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params neck.encoder.lstm.0.cell_bw.bias_ih not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params neck.encoder.lstm.0.cell_bw.bias_hh not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params neck.encoder.lstm.1.cell_fw.weight_ih not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params neck.encoder.lstm.1.cell_fw.weight_hh not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params neck.encoder.lstm.1.cell_fw.bias_ih not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params neck.encoder.lstm.1.cell_fw.bias_hh not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params neck.encoder.lstm.1.cell_bw.weight_ih not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params neck.encoder.lstm.1.cell_bw.weight_hh not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params neck.encoder.lstm.1.cell_bw.bias_ih not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params neck.encoder.lstm.1.cell_bw.bias_hh not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params head.fc.weight not in model
[2024/07/03 08:46:25] ppocr WARNING: The pretrained params head.fc.bias not in model
[2024/07/03 08:46:25] ppocr INFO: load pretrain successful from ./pretrain_models/ch_ppocr_server_v2.0_rec_train/best_accuracy
[2024/07/03 08:46:25] ppocr INFO: During the training process, after the 0th iteration, an evaluation is run every 2000 iterations

[GreatV]

@555myhair 更新一下paddle版本试试，用paddle 3.0 beta 版本

[555myhair]

@555myhair 更新一下paddle版本试试，用paddle 3.0 beta
更新好了，但是还是卡到那一步就结束了

[GreatV]

数据里是不是有不在char_dict.txt中的字符？@555myhair

[555myhair]

数据里是不是有不在char_dict.txt中的字符？@555myhair

我的数据里面都是数字和字母，里面都有的

[GreatV]

检查一下数据标注的格式对不对

[555myhair]

检查一下数据标注的格式对不对

label是自动生成的格式
ocr111/02-29-2024 - 08.43.37.609.BMP [{"transcription": "6492164", "points": [[332, 222], [444, 225], [445, 253], [331, 248]], "difficult": false}, {"transcription": "W2402263058", "points": [[332, 255], [514, 262], [513, 286], [333, 279]], "difficult": false}, {"transcription": "S04-1118100-181-20", "points": [[334, 282], [539, 290], [540, 314], [333, 306]], "difficult": false}, {"transcription": "HE200WG", "points": [[330, 313], [469, 321], [466, 343], [328, 339]], "difficult": false}, {"transcription": "181GB263058", "points": [[327, 342], [508, 350], [506, 374], [326, 364]], "difficult": false}]
ocr111/02-29-2024 - 08.44.28.572.BMP [{"transcription": "6492164", "points": [[335, 222], [443, 226], [442, 251], [334, 247]], "difficult": false}, {"transcription": "W2402263061", "points": [[331, 254], [507, 261], [506, 285], [330, 278]], "difficult": false}, {"transcription": "S04-1118100-181-20", "points": [[331, 282], [533, 290], [532, 314], [330, 306]], "difficult": false}, {"transcription": "HE200WG", "points": [[331, 315], [463, 319], [462, 346], [324, 342]], "difficult": false}, {"transcription": "181GB263061", "points": [[327, 341], [505, 346], [505, 373], [327, 365]], "difficult": false}]

[GreatV]

@555myhair 你这个是检测的数据格式，不是识别的数据格式。

[555myhair]

@555myhair 你这个是检测的数据格式，不是识别的数据格式。

哎嘿嘿，在训练了，果然是数据匹配错了，谢谢你！！！！！！！！

[anewworl]

Hey, @GreatV so i get this warning but it still training and currently i am training on window. Does this warning will effect on model for later inference ? Thanks a lot.