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exp_kitti_360.yaml
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exp_kitti_360.yaml
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defaults:
- default
- data: kitti_360
- _self_
name: "kitti_360"
model: "bts"
output_path: "out/kitti_360"
num_epochs: 25
batch_size: 16
save_best:
metric: abs_rel
sign: -1
data:
data_fc: 2
image_size: [192, 640]
color_aug: true
is_preprocessed: true
fisheye_rotation: [0, -15]
model_conf:
arch: "BTSNet"
use_code: true
prediction_mode: default
code:
num_freqs: 6
freq_factor: 1.5
include_input: true
encoder:
type: "monodepth2"
freeze: false
pretrained: true
resnet_layers: 50
num_ch_dec: [32,32,64,128,256]
d_out: 64
mlp_coarse:
type : "resnet"
n_blocks : 0
d_hidden : 64
mlp_fine:
type : "empty"
n_blocks : 1
d_hidden : 128
z_near: 3
z_far: 80
inv_z: true
n_frames_encoder: 1
n_frames_render: 2
frame_sample_mode: kitti360-mono
sample_mode: patch
patch_size: 8
ray_batch_size: 4096
flip_augmentation: true
learn_empty: false
code_mode: z
loss:
criterion: "l1+ssim"
invalid_policy: weight_guided
lambda_edge_aware_smoothness: 0.001
scheduler:
type: step
step_size: 120000
gamma: 0.1
renderer:
n_coarse : 64
n_fine : 0
n_fine_depth : 0
depth_std : 1.0
sched : []
white_bkgd : false
lindisp: true
hard_alpha_cap: true