config.json

{
  "activation_function": "relu",
  "architectures": [
    "EfficientLoFTRForKeypointMatching"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "batch_norm_eps": 1e-05,
  "coarse_matching_border_removal": 0,
  "coarse_matching_skip_softmax": false,
  "coarse_matching_temperature": 0.1,
  "coarse_matching_threshold": 0.0,
  "dtype": "float32",
  "fine_fusion_dims": [
    16
  ],
  "fine_kernel_size": 2,
  "fine_matching_regress_temperature": 10.0,
  "fine_matching_slice_dim": 8,
  "hidden_size": 16,
  "initializer_range": 0.02,
  "intermediate_size": 32,
  "kv_aggregation_kernel_size": 1,
  "kv_aggregation_stride": 1,
  "mlp_activation_function": "leaky_relu",
  "model_type": "efficientloftr",
  "num_attention_heads": 8,
  "num_attention_layers": 2,
  "num_key_value_heads": 8,
  "out_features": [
    16,
    16
  ],
  "partial_rotary_factor": 4.0,
  "q_aggregation_kernel_size": 1,
  "q_aggregation_stride": 1,
  "rope_parameters": {
    "partial_rotary_factor": 4.0,
    "rope_theta": 10000.0,
    "rope_type": "default"
  },
  "stage_block_in_channels": [
    [
      1
    ],
    [
      16
    ]
  ],
  "stage_block_out_channels": [
    [
      16
    ],
    [
      16
    ]
  ],
  "stage_block_stride": [
    [
      2
    ],
    [
      1
    ]
  ],
  "stage_in_channels": [
    1,
    16
  ],
  "stage_num_blocks": [
    1,
    1
  ],
  "stage_stride": [
    2,
    1
  ],
  "transformers_version": "5.16.0.dev0"
}