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Global:
debug: false
use_gpu: true
epoch_num: 50
log_smooth_window: 20
print_batch_step: 10
save_model_dir: ./output/rec_ppocr_v4
save_epoch_step: 10
eval_batch_step:
- 0
- 2000
cal_metric_during_train: true
pretrained_model: null
checkpoints: null
save_inference_dir: null
use_visualdl: false
infer_img: doc/imgs_words/ch/word_1.jpg
character_dict_path: /kaggle/working/Fine-Tuning-OCR-Model-with-PaddleOCR/PaddleOCR/ppocr/utils/en_dict.txt
infer_mode: false
use_space_char: true
distributed: true
save_res_path: ./output/rec/predicts_ppocrv3.txt
max_text_length: 25
Optimizer:
name: Adam
beta1: 0.9
beta2: 0.999
lr:
name: Cosine
learning_rate: 0.0005
warmup_epoch: 5
regularizer:
name: L2
factor: 3.0e-05
Architecture:
model_type: rec
algorithm: SVTR_LCNet
Transform: null
Backbone:
name: PPLCNetV3
scale: 0.95
Head:
name: MultiHead
head_list:
- CTCHead:
Neck:
name: svtr
dims: 120
depth: 2
hidden_dims: 120
kernel_size:
- 1
- 3
use_guide: true
Head:
fc_decay: 1.0e-05
- NRTRHead:
nrtr_dim: 384
max_text_length: 25
Loss:
name: MultiLoss
loss_config_list:
- CTCLoss: null
- NRTRLoss: null
PostProcess:
name: CTCLabelDecode
Metric:
name: RecMetric
main_indicator: acc
ignore_space: false
Train:
dataset:
name: SimpleDataSet
data_dir: "/kaggle/working/Fine-Tuning-OCR-Model-with-PaddleOCR/dataset"
ext_op_transform_idx: 1
label_file_list:
- dataset/recognition_train.txt
transforms:
- DecodeImage:
img_mode: BGR
channel_first: false
- RecConAug: # Concat Augmentation (jika digunakan)
prob: 0.5
ext_data_num: 2
image_shape: [48, 320, 3]
max_text_length: 25
- RecAug: # <<< Andalkan operator ini untuk augmentasi blur, noise, light/color
# Jangan tambahkan GaussianBlur, SaltAndPepperNoise, ColorJitter secara terpisah
# --- HAPUS Augmentasi Tambahan yang Menyebabkan Error ---
# - GaussianBlur:
# prob: 0.5
# - SaltAndPepperNoise:
# prob: 0.5
# - ColorJitter:
# prob: 0.5
# --- Akhir Bagian yang Dihapus ---
- MultiLabelEncode:
- RecResizeImg:
image_shape: [3, 48, 320]
- KeepKeys:
keep_keys:
- image
- label_ctc
- label_sar
- length
- valid_ratio
loader:
shuffle: true
batch_size_per_card: 128
drop_last: true
num_workers: 4
Eval:
dataset:
name: SimpleDataSet
data_dir: "/kaggle/working/Fine-Tuning-OCR-Model-with-PaddleOCR/dataset"
label_file_list:
- dataset/recognition_test.txt
transforms:
- DecodeImage:
img_mode: BGR
channel_first: false
- MultiLabelEncode:
- RecResizeImg:
image_shape: [3, 48, 320]
- KeepKeys:
keep_keys:
- image
- label_ctc
- label_sar
- length
- valid_ratio
loader:
shuffle: false
drop_last: false
batch_size_per_card: 128
num_workers: 4 |