mmocr/configs/textrecog/satrn/satrn_small.py

24 lines
539 B
Python

_base_ = ['satrn_academic.py']
model = dict(
backbone=dict(type='ShallowCNN', input_channels=3, hidden_dim=256),
encoder=dict(
type='SATRNEncoder',
n_layers=6,
n_head=8,
d_k=256 // 8,
d_v=256 // 8,
d_model=256,
n_position=100,
d_inner=256 * 4,
dropout=0.1),
decoder=dict(
type='NRTRDecoder',
n_layers=6,
d_embedding=256,
n_head=8,
d_model=256,
d_inner=256 * 4,
d_k=256 // 8,
d_v=256 // 8))