diff options
Diffstat (limited to 'training/conf/network/conv_perceiver.yaml')
| -rw-r--r-- | training/conf/network/conv_perceiver.yaml | 23 |
1 files changed, 15 insertions, 8 deletions
diff --git a/training/conf/network/conv_perceiver.yaml b/training/conf/network/conv_perceiver.yaml index e6906fa..2e12db9 100644 --- a/training/conf/network/conv_perceiver.yaml +++ b/training/conf/network/conv_perceiver.yaml @@ -1,9 +1,10 @@ _target_: text_recognizer.networks.ConvPerceiver input_dims: [1, 1, 576, 640] -hidden_dim: &hidden_dim 144 +hidden_dim: &hidden_dim 128 num_classes: &num_classes 58 -queries_dim: &queries_dim 16 -max_length: 89 +max_length: &max_length 89 +num_queries: *max_length +queries_dim: &queries_dim 64 pad_index: 3 encoder: _target_: text_recognizer.networks.EfficientNet @@ -15,16 +16,22 @@ encoder: out_channels: *hidden_dim decoder: _target_: text_recognizer.networks.perceiver.PerceiverIO - dim: *hidden_dim + dim: 192 cross_heads: 1 cross_head_dim: 64 num_latents: 256 latent_dim: 512 latent_heads: 8 depth: 6 - queries_dim: *queries_dim + queries_dim: 128 logits_dim: *num_classes pixel_embedding: - _target_: text_recognizer.networks.transformer.AxialPositionalEmbedding - dim: *hidden_dim - shape: [3, 64] + _target_: text_recognizer.networks.transformer.embeddings.axial.AxialPositionalEmbeddingImage + dim: 64 + axial_shape: [3, 64] + axial_dims: [32, 32] +query_pos_emb: + _target_: text_recognizer.networks.transformer.embeddings.absolute.AbsolutePositionalEmbedding + dim: 64 + max_seq_len: *max_length + l2norm_embed: true |