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authorJordan Gong <jordan.gong@protonmail.com>2021-05-17 17:19:20 +0800
committerJordan Gong <jordan.gong@protonmail.com>2021-05-17 17:19:20 +0800
commit2b5bc2350df8ebb8e4e5722f5563f2e44823ac34 (patch)
tree94816e528ed7ac1732c44877181540fd5a8ad810 /config.py
parentfde8d8fc0e4d986be37b26b468b0ac9d53d7bcd9 (diff)
Model modificationHEADmaster
Reduce channels in the auto-encoder and add more layers
Diffstat (limited to 'config.py')
-rw-r--r--config.py8
1 files changed, 4 insertions, 4 deletions
diff --git a/config.py b/config.py
index 726d06e..4f6d248 100644
--- a/config.py
+++ b/config.py
@@ -51,20 +51,20 @@ config: Configuration = {
'hyperparameter': {
'model': {
# Auto-encoder feature channels coefficient
- 'ae_feature_channels': 64,
+ 'ae_feature_channels': 32,
# Appearance, canonical and pose feature dimensions
- 'f_a_c_p_dims': (192, 192, 128),
+ 'f_a_c_p_dims': (48, 48, 32),
# HPM pyramid scales, of which sum is number of parts
'hpm_scales': (1, 2, 4, 8),
# Global pooling method
'hpm_use_avg_pool': True,
'hpm_use_max_pool': True,
# Number of parts after Part Net
- 'tfa_num_parts': 16,
+ 'tfa_num_parts': 8,
# Attention squeeze ratio
'tfa_squeeze_ratio': 4,
# Embedding dimensions for each part
- 'embedding_dims': (256, 256),
+ 'embedding_dims': (32, 64),
# Batch Hard or Batch All
'triplet_is_hard': True,
# Use non-zero mean or sum