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kitti360_1538.txt
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kitti360_1538.txt
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root_dir = ./KITTI-360
dataset_name = kitti
exp_name = seq0_1538-1601
batch_size = 2048
scale = 8.0
num_epochs = 80
kitti_scene = seq0_1538-1601
start = 1538
train_frames = 64
center_pose = [1130.46719983, 3969.92954086, 115.97836078]
val_list = [1545,1555,1565,1575,1585,1595]
### render a camera path(through interpolation between poses)
render_traj = True
### render camera poses from training dataset
render_train = False
render_rgb = True
render_depth = True
### render derived normal or not
render_normal = True
### render semantic labels or not, set to False if no g.t. semantic labels
render_semantic = True
sem_conf_path = ../ckpts/mmseg/segformer_mit-b5_8xb1-160k_cityscapes-1024x1024.py
sem_ckpt_path = ../ckpts/mmseg/segformer_mit-b5_8x1_1024x1024_160k_cityscapes_20211206_072934-87a052ec.pth
styl_img_path = ./styl_img/winter.jpg
shadow_ckpt_path = ../ckpts/mtmt/iter_10000.pth
### appearance embeddings
embed_a = True
embed_a_len = 8
### mask embeddings
embed_msk = False
random_bg = True
depth_mono = True