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- Global:
- device: gpu
- epoch_num: 20
- log_smooth_window: 20
- print_batch_step: 10
- output_dir: ./output/rec/u14m_filter/convnextv2_tiny_cam_tps_on
- eval_epoch_step: [0, 1]
- eval_batch_step: [0, 500]
- cal_metric_during_train: False
- pretrained_model:
- checkpoints:
- use_tensorboard: false
- infer_img:
- # for data or label process
- character_dict_path: ./tools/utils/EN_symbol_dict.txt
- max_text_length: &max_text_length 25
- use_space_char: False
- save_res_path: ./output/rec/u14m_filter/predicts_convnextv2_cam_tps_on.txt
- use_amp: True
- Optimizer:
- name: AdamW
- lr: 0.0008 # for 4gpus bs256/gpu
- weight_decay: 0.05
- filter_bias_and_bn: True
- eps: 1.e-8
- LRScheduler:
- name: OneCycleLR
- warmup_epoch: 1.5 # pct_start 0.075*20 : 1.5ep
- cycle_momentum: False
- Architecture:
- model_type: rec
- algorithm: CAM
- Transform:
- name: Aster_TPS
- tps_inputsize: [32, 64]
- tps_outputsize: &img_shape [32, 128]
- Encoder:
- name: CAMEncoder
- encoder_config:
- name: ConvNeXtV2
- depths: [3, 3, 9, 3]
- dims: [96, 192, 384, 768]
- strides: [[4,4], [2,1], [2,1], [1,1]]
- drop_path_rate: 0.2
- feat2d: True
- nb_classes: 97
- strides: [[4,4], [2,1], [2,1], [1,1]]
- deform_stride: 2
- stage_idx: 2
- use_depthwise_unet: True
- use_more_unet: False
- binary_loss_type: BanlanceMultiClassCrossEntropyLoss
- mid_size: False
- d_embedding: 512
- Decoder:
- name: CAMDecoder
- num_encoder_layers: -1
- beam_size: 0
- num_decoder_layers: 2
- nhead: 8
- max_len: *max_text_length
- Loss:
- name: CAMLoss
- loss_weight_binary: 1.5
- label_smoothing: 0.
- Metric:
- name: RecMetric
- main_indicator: acc
- is_filter: True
- PostProcess:
- name: ARLabelDecode
- Train:
- dataset:
- name: LMDBDataSet
- data_dir: ../Union14M-L-LMDB-Filtered
- transforms:
- - DecodeImagePIL: # load image
- img_mode: RGB
- - PARSeqAugPIL:
- - CAMLabelEncode: # Class handling label
- font_path: ./arial.ttf
- image_shape: *img_shape
- - RecTVResize:
- image_shape: [64, 256]
- padding: False
- - KeepKeys:
- keep_keys: ['image', 'label', 'length', 'binary_mask'] # dataloader will return list in this order
- loader:
- shuffle: True
- batch_size_per_card: 256
- drop_last: True
- num_workers: 4
- Eval:
- dataset:
- name: LMDBDataSet
- data_dir: ../evaluation
- transforms:
- - DecodeImagePIL: # load image
- img_mode: RGB
- - ARLabelEncode: # Class handling label
- - RecTVResize:
- image_shape: [64, 256]
- padding: False
- - KeepKeys:
- keep_keys: ['image', 'label', 'length'] # dataloader will return list in this order
- loader:
- shuffle: False
- drop_last: False
- batch_size_per_card: 256
- num_workers: 2
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