ch_PP-OCRv4_det_cml.yml 报错 when model type is det

[Ludasheng]

我的 ch_PP-OCRv4_det_cml.yml

Global: debug: false use_gpu: true epoch_num: 500 log_smooth_window: 20 print_batch_step: 20 save_model_dir: ./output/ch_PP-OCRv4 save_epoch_step: 50 eval_batch_step:

• 0
• 1000 cal_metric_during_train: true checkpoints: null pretrained_model: null save_inference_dir: null use_visualdl: false infer_img: doc/imgs_en/img_10.jpg save_res_path: ./checkpoints/det_db/predicts_db.txt distributed: true Architecture: name: DistillationModel algorithm: Distillation model_type: det Models: Student: model_type: det algorithm: DB Transform: null Backbone: name: PPLCNetNew scale: 0.75 pretrained: false Neck: name: RSEFPN out_channels: 96 shortcut: true Head: name: DBHead k: 50 Student2: pretrained: null model_type: det algorithm: DB Transform: null Backbone: name: PPLCNetNew scale: 0.75 pretrained: true Neck: name: RSEFPN out_channels: 96 shortcut: true Head: name: DBHead k: 50 Teacher: pretrained: https://paddleocr.bj.bcebos.com/PP-OCRv4/chinese/ch_PP-OCRv4_det_cml_teacher_pretrained/teacher.pdparams freeze_params: true return_all_feats: false model_type: det algorithm: DB Backbone: name: ResNet_vd in_channels: 3 layers: 50 Neck: name: LKPAN out_channels: 256 Head: name: DBHead kernel_list:
  • 7
  • 2
  • 2 k: 50 Loss: name: CombinedLoss loss_config_list:
• DistillationDilaDBLoss: weight: 1.0 model_name_pairs:
  • • Student
    • Teacher
  • • Student2
    • Teacher key: maps balance_loss: true main_loss_type: DiceLoss alpha: 5 beta: 10 ohem_ratio: 3
• DistillationDMLLoss: model_name_pairs:
  • Student
  • Student2 maps_name: thrink_maps weight: 1.0 key: maps
• DistillationDBLoss: weight: 1.0 model_name_list:
  • Student
  • Student2 balance_loss: true main_loss_type: DiceLoss alpha: 5 beta: 10 ohem_ratio: 3 Optimizer: name: Adam beta1: 0.9 beta2: 0.999 lr: name: Cosine learning_rate: 0.001 warmup_epoch: 2 regularizer: name: L2 factor: 5.0e-05 PostProcess: name: DistillationDBPostProcess model_name:
• Student key: head_out thresh: 0.3 box_thresh: 0.6 max_candidates: 1000 unclip_ratio: 1.5 Metric: name: DistillationMetric base_metric_name: DetMetric main_indicator: hmean key: Student Train: dataset: name: SimpleDataSet data_dir: /home/jlb/JLB_OCR/A_QuanBiao/DetTrain label_file_list:
  • /home/jlb/JLB_OCR/A_QuanBiao/DetTrain/Label.txt ratio_list: [1.0] transforms:
    • DecodeImage: img_mode: BGR channel_first: false
    • DetLabelEncode: null
    • IaaAugment: augmenter_args:
    • type: Fliplr args: p: 0.5
    • type: Affine args: rotate:
      • -10
      • 10
    • type: Resize args: size:
      • 0.5
      • 3
    • EastRandomCropData: size:
    • 640
    • 640 max_tries: 50 keep_ratio: true
    • MakeBorderMap: shrink_ratio: 0.4 thresh_min: 0.3 thresh_max: 0.7 total_epoch: 500
    • MakeShrinkMap: shrink_ratio: 0.4 min_text_size: 8 total_epoch: 500
    • NormalizeImage: scale: 1./255. mean:
    • 0.485
    • 0.456
    • 0.406 std:
    • 0.229
    • 0.224
    • 0.225 order: hwc
    • ToCHWImage: null
    • KeepKeys: keep_keys:
    • image
    • threshold_map
    • threshold_mask
    • shrink_map
    • shrink_mask loader: shuffle: true drop_last: false batch_size_per_card: 16 num_workers: 8 Eval: dataset: name: SimpleDataSet data_dir: /home/jlb/JLB_OCR/A_QuanBiao/DetTest label_file_list:
  • /home/jlb/JLB_OCR/A_QuanBiao/DetTest/Label.txt transforms:
    • DecodeImage: img_mode: BGR channel_first: false
    • DetLabelEncode: null
    • DetResizeForTest: null
    • NormalizeImage: scale: 1./255. mean:
    • 0.485
    • 0.456
    • 0.406 std:
    • 0.229
    • 0.224
    • 0.225 order: hwc
    • ToCHWImage: null
    • KeepKeys: keep_keys:
    • image
    • shape
    • polys
    • ignore_tags loader: shuffle: false drop_last: false batch_size_per_card: 1 num_workers: 2 profiler_options: null

[BiynXu]

看截图最下方的AssertionError，应该是使用det时，Backbone不支持PPLCNetNew。 支持的Backbone都在列表中，或许可以试试选择其中一个。

[Ludasheng]

看截图最下方的AssertionError，应该是使用det时，Backbone不支持PPLCNetNew。 支持的Backbone都在列表中，或许可以试试选择其中一个。

paddle他们官方的配置就是这样写的？难道他们写错了？

[Ludasheng]

看截图最下方的AssertionError，应该是使用det时，Backbone不支持PPLCNetNew。 支持的Backbone都在列表中，或许可以试试选择其中一个。

paddle他们官方的配置就是这样写的？难道他们写错了？

从他们文档里找到了蛛丝马迹，应该是写错了：LCNetV3