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master_resnet31.yaml
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master_resnet31.yaml
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system:
mode: 0 # 0 for graph mode, 1 for pynative mode in MindSpore
distribute: True
amp_level: O2
amp_level_infer: O2 # running inference in O2 mode
seed: 42
log_interval: 100
val_while_train: True
drop_overflow_update: False
ckpt_max_keep: 3
common:
character_dict_path: &character_dict_path mindocr/utils/dict/en_dict90.txt
num_classes: &num_classes 94 # num_chars_in_dict + 4
max_text_len: &max_text_len 30
infer_mode: &infer_mode False
use_space_char: &use_space_char False
use_unknown_char: &use_unknown_char True
batch_size: &batch_size 512
model:
type: rec
transform: null
backbone:
name: rec_resnet_master_resnet31
pretrained: False
neck:
name: MasterEncoder
with_encoder: False
head:
name: MasterDecoder
out_channels: *num_classes
batch_max_length: *max_text_len
postprocess:
name: RecMasterLabelDecode
character_dict_path: *character_dict_path
use_space_char: *use_space_char
lower: False
use_unknown_char: *use_unknown_char
metric:
name: RecMetric
main_indicator: acc
character_dict_path: *character_dict_path
ignore_space: True
print_flag: False
lower: True
filter_ood: False
ignore_symbol: True
loss:
name: AttentionLoss
ignore_index: 2
scheduler:
scheduler: warmup_cosine_decay
min_lr: 5.0e-6
lr: 5.0e-4
num_epochs: 20
warmup_epochs: 1
decay_epochs: 19
optimizer:
opt: adamw
filter_bias_and_bn: True
weight_decay: 0.05
loss_scaler:
type: dynamic
loss_scale: 512
scale_factor: 2.0
scale_window: 1000
train:
ckpt_save_dir: ./tmp_rec
dataset_sink_mode: False
ema: True
ema_decay: 0.9999
dataset:
type: LMDBDataset
dataset_root: path/to/data_lmdb_release/
data_dir: training/
label_file: null
sample_ratio: 1.0
shuffle: True
transform_pipeline:
- DecodeImage:
img_mode: RGB
to_float32: True
- RecMasterLabelEncode:
max_text_len: *max_text_len
character_dict_path: *character_dict_path
use_space_char: *use_space_char
use_unknown_char: *use_unknown_char
lower: False
- NormalizeImage:
is_hwc: True
mean: [127.0, 127.0, 127.0]
std: [127.0, 127.0, 127.0]
- RecResizeImg:
image_shape: [48, 160] # H, W
infer_mode: *infer_mode
character_dict_path: *character_dict_path
padding: True
- ToCHWImage:
output_columns: ["image", "text_seq"]
net_input_column_index: [0, 1]
label_column_index: [1]
loader:
shuffle: True
batch_size: *batch_size
drop_remainder: True
max_rowsize: 12
num_workers: 1
eval:
ckpt_load_path: ./tmp_rec/best.ckpt
dataset_sink_mode: False
dataset:
type: LMDBDataset
dataset_root: path/to/data_lmdb_release/
data_dir: validation/
label_file: null
sample_ratio: 1.0
shuffle: False
transform_pipeline:
- DecodeImage:
img_mode: RGB
to_float32: True
- RecMasterLabelEncode:
max_text_len: *max_text_len
character_dict_path: *character_dict_path
use_space_char: *use_space_char
use_unknown_char: *use_unknown_char
lower: False
- NormalizeImage:
is_hwc: True
mean: [127.0, 127.0, 127.0]
std: [127.0, 127.0, 127.0]
- RecResizeImg:
image_shape: [48, 160] # H, W
infer_mode: *infer_mode
character_dict_path: *character_dict_path
padding: True
- ToCHWImage:
output_columns: ["image", "text_padded", "text_length"]
net_input_column_index: [0]
label_column_index: [1, 2]
loader:
shuffle: False
batch_size: 1
drop_remainder: False
max_rowsize: 12
num_workers: 1