123 lines
2.7 KiB
YAML
123 lines
2.7 KiB
YAML
Global:
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use_gpu: True
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epoch_num: 240
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log_smooth_window: 20
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print_batch_step: 10
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save_model_dir: ./output/rec/can/
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save_epoch_step: 1
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# evaluation is run every 1105 iterations (1 epoch)(batch_size = 8)
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eval_batch_step: [0, 1105]
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cal_metric_during_train: True
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pretrained_model:
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checkpoints:
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save_inference_dir:
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use_visualdl: False
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infer_img: doc/datasets/crohme_demo/hme_00.jpg
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# for data or label process
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character_dict_path: ppocr/utils/dict/latex_symbol_dict.txt
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max_text_length: 36
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infer_mode: False
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use_space_char: False
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save_res_path: ./output/rec/predicts_can.txt
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Optimizer:
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name: Momentum
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momentum: 0.9
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clip_norm_global: 100.0
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lr:
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name: TwoStepCosine
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learning_rate: 0.01
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warmup_epoch: 1
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weight_decay: 0.0001
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Architecture:
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model_type: rec
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algorithm: CAN
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in_channels: 1
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Transform:
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Backbone:
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name: DenseNet
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growthRate: 24
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reduction: 0.5
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bottleneck: True
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use_dropout: True
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input_channel: 1
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Head:
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name: CANHead
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in_channel: 684
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out_channel: 111
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max_text_length: 36
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ratio: 16
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attdecoder:
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is_train: True
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input_size: 256
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hidden_size: 256
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encoder_out_channel: 684
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dropout: True
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dropout_ratio: 0.5
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word_num: 111
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counting_decoder_out_channel: 111
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attention:
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attention_dim: 512
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word_conv_kernel: 1
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Loss:
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name: CANLoss
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PostProcess:
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name: CANLabelDecode
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Metric:
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name: CANMetric
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main_indicator: exp_rate
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Train:
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dataset:
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name: SimpleDataSet
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data_dir: ./train_data/CROHME/training/images/
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label_file_list: ["./train_data/CROHME/training/labels.txt"]
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transforms:
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- DecodeImage:
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channel_first: False
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- NormalizeImage:
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mean: [0,0,0]
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std: [1,1,1]
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order: 'hwc'
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- GrayImageChannelFormat:
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inverse: True
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- CANLabelEncode:
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lower: False
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- KeepKeys:
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keep_keys: ['image', 'label']
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loader:
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shuffle: True
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batch_size_per_card: 8
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drop_last: False
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num_workers: 4
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collate_fn: DyMaskCollator
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Eval:
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dataset:
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name: SimpleDataSet
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data_dir: ./train_data/CROHME/evaluation/images/
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label_file_list: ["./train_data/CROHME/evaluation/labels.txt"]
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transforms:
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- DecodeImage:
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channel_first: False
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- NormalizeImage:
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mean: [0,0,0]
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std: [1,1,1]
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order: 'hwc'
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- GrayImageChannelFormat:
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inverse: True
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- CANLabelEncode:
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lower: False
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- KeepKeys:
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keep_keys: ['image', 'label']
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loader:
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shuffle: False
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drop_last: False
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batch_size_per_card: 1
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num_workers: 4
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collate_fn: DyMaskCollator
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