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default.yaml
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default.yaml
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dense_features:
device: auto
dtype: half
fast_image_load: false
l2_normalize: true
max_edge: 1600
model:
name: s2dnet
num_layers: 1
checkpointing: null
output_dim: 128
pretrained: s2dnet
remove_pooling_layers: false
combine: false
patch_size: 16
pyr_scales:
- 1.0
resize: LANCZOS
sparse: true
use_cache: false
overwrite_cache: false
load_cache_on_init: false
cache_format: chunked
interpolation:
nodes:
- - 0.0
- 0.0
mode: BICUBIC
l2_normalize: true
ncc_normalize: false
mapping:
interpolation: ${interpolation}
KA:
strategy: featuremetric
apply: true
interpolation: ${..interpolation}
level_indices: null
max_kps_per_problem: 50
optimizer:
loss:
name: cauchy
params:
- 0.25
solver:
function_tolerance: 0.0
gradient_tolerance: 0.0
parameter_tolerance: 1.0e-05
minimizer_progress_to_stdout: false
max_num_iterations: 100
max_linear_solver_iterations: 200
max_num_consecutive_invalid_steps: 10
max_consecutive_nonmonotonic_steps: 10
use_inner_iterations: false
use_nonmonotonic_steps: true
update_state_every_iteration: false
num_threads: 1
print_summary: false
bound: 4.0
num_threads: -1
split_in_subproblems: true
BA:
apply: true
interpolation: ${..interpolation}
level_indices: null
max_tracks_per_problem: 10
num_threads: -1
optimizer:
loss:
name: cauchy
params:
- 0.25
solver:
function_tolerance: 0.0
gradient_tolerance: 0.0
parameter_tolerance: 0.0
minimizer_progress_to_stdout: false
max_num_iterations: 100
max_linear_solver_iterations: 200
max_num_consecutive_invalid_steps: 10
max_consecutive_nonmonotonic_steps: 10
use_inner_iterations: true
use_nonmonotonic_steps: true
update_state_every_iteration: false
num_threads: -1
print_summary: false
refine_focal_length: true
refine_principal_point: false
refine_extra_params: true
refine_extrinsics: true
references:
loss:
name: cauchy
params:
- 0.25
iters: 100
keep_observations: false
compute_offsets3D: false
num_threads: -1
repeats: 1
strategy: feature_reference
localization:
interpolation: ${interpolation}
target_reference: nearest
unique_inliers: min_error
references:
loss:
name: cauchy
params:
- 0.25
iters: 100
keep_observations: true
compute_offsets3D: false
num_threads: -1
max_tracks_per_problem: 50
QKA:
apply: true
feature_inlier_thresh: -1
interpolation: ${..interpolation}
level_indices: null
overwrite_features_sparse: null
stacked_correspondences: False
optimizer:
loss:
name: trivial
params: []
solver:
function_tolerance: 0.0
gradient_tolerance: 0.0
parameter_tolerance: 1.0e-05
minimizer_progress_to_stdout: false
max_num_iterations: 100
max_linear_solver_iterations: 200
max_num_consecutive_invalid_steps: 10
max_consecutive_nonmonotonic_steps: 10
use_inner_iterations: false
use_nonmonotonic_steps: true
update_state_every_iteration: false
num_threads: -1
print_summary: false
bound: 4.0
PnP:
estimation:
ransac:
max_error: 12
refinement: {}
QBA:
apply: true
interpolation: ${..interpolation}
level_indices: null
optimizer:
loss:
name: cauchy
params:
- 0.25
solver:
function_tolerance: 0.0
gradient_tolerance: 0.0
parameter_tolerance: 0.0
minimizer_progress_to_stdout: false
max_num_iterations: 100
max_linear_solver_iterations: 200
max_num_consecutive_invalid_steps: 10
max_consecutive_nonmonotonic_steps: 10
use_inner_iterations: false
use_nonmonotonic_steps: false
update_state_every_iteration: false
num_threads: -1
print_summary: false
refine_focal_length: false
refine_principal_point: false
refine_extra_params: false