# UniCeption encoder string used for selecting encoder class (python3 -m uniception.models.encoders.list)
encoder_str: "dinov2"
# Name of the encoder
name: "dinov2_giant_24_layers"
# Data normalization type
data_norm_type: "dinov2"
# ViT size
size: "giant"
# Registers
with_registers: False
# Flag to indicate whether model class uses torch hub
uses_torch_hub: True
# Flag to indicate whether to use gradient checkpointing for encoder
gradient_checkpointing: False
# Turn off final normalization so that the features can be passed to DINOv2 init multi-view transformer
norm_returned_features: False
# Keep only the first 24 layers of DINOv2 ViT-G (other 16 layers are in multi-view transformer)
keep_first_n_layers: 24