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config.py
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config.py
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from dataclasses import dataclass, field
from typing import Dict, List, Optional
@dataclass
class ModelParams:
_source_path: str = ""
_model_path: str = ""
pretrained_model_path: Optional[str] = None
_images: str = "images"
workspace: str = "debug"
batch: int = 10
_resolution: int = -1
_white_background: bool = True
data_device: str = "cuda"
eval: bool = False
opt_path: Optional[str] = None
# augmentation
sh_deg_aug_ratio: float = 0.1
bg_aug_ratio: float = 0.5
shs_aug_ratio: float = 0.0
scale_aug_ratio: float = 1.0
@dataclass
class OptimizationParams:
iterations: int = 2000
position_lr_init: float = 0.00016
position_lr_final: float = 0.0000016
position_lr_delay_mult: float = 0.01
position_lr_max_steps: int = 30_000
feature_lr: float = 0.0050
feature_lr_final: float = 0.0030
opacity_lr: float = 0.05
scaling_lr: float = 0.005
rotation_lr: float = 0.001
geo_iter: int = 0
as_latent_ratio: float = 0.2
scaling_lr_final: float = 0.001
rotation_lr_final: float = 0.0002
percent_dense: float = 0.003
densify_grad_threshold: float = 0.00075
lambda_tv: float = 1.0 # 0.1
lambda_bin: float = 10.0
lambda_scale: float = 1.0
lambda_sat: float = 1.0
lambda_radius: float = 1.0
lambda_depth: float = 1.0
lambda_tv_depth: float = 1.0
densification_interval: int = 100
opacity_reset_interval: int = 300
densify_from_iter: int = 100
densify_until_iter: int = 30_00
use_control_net_iter: int = 10000000
use_progressive: bool = False
progressive_view_iter: int = 500
progressive_view_init_ratio: float = 0.2
scale_up_cameras_iter: int = 500
scale_up_factor: float = 0.95
fovy_scale_up_factor: List[float] = field(default_factory=lambda: [0.75, 1.1])
phi_scale_up_factor: float = 1.5
max_point_number: int = 1200000
# If you only need to refine through our reconstructive generation process.
only_recon_stage: bool = False
# Common prompts for the entire scene generation process
style_prompt: str = ""
style_negative_prompt: str = ""
@dataclass
class PipelineParams:
convert_SHs_python: bool = False
compute_cov3D_python: bool = False
debug: bool = False
@dataclass
class GenerateCamParams:
radius_range: List[float] = field(
default_factory=lambda: [5.2, 5.5]
)
max_radius_range: List[float] = field(default_factory=lambda: [3.5, 5.0])
default_radius: float = 3.5
theta_range: List[float] = field(default_factory=lambda: [45, 105])
max_theta_range: List[float] = field(default_factory=lambda: [45, 105])
phi_range: List[float] = field(default_factory=lambda: [-180, 180])
max_phi_range: List[float] = field(default_factory=lambda: [-180, 180])
fovy_range: List[float] = field(
default_factory=lambda: [0.32, 0.60]
)
max_fovy_range: List[float] = field(default_factory=lambda: [0.16, 0.60])
rand_cam_gamma: float = 1.0
angle_overhead: float = 30
angle_front: float = 60
render_45: bool = True
uniform_sphere_rate: float = 0
image_w: int = 512
image_h: int = 512
SSAA: int = 1
default_polar: float = 90
default_azimuth: float = 0
default_fovy: float = 0.55
jitter_pose: bool = True
jitter_center: float = 0.05
jitter_target: float = 0.05
jitter_up: float = 0.01
device: str = "cuda"
@dataclass
class GuidanceParams:
random_delta: bool = False
guidance: str = "MTSD"
g_device: str = "cuda"
model_key: Optional[str] = None
is_safe_tensor: bool = False
base_model_key: Optional[str] = None
controlnet_model_key: Optional[str] = None
# For Perp-Neg
perpneg: bool = True
negative_w: float = -2.0
front_decay_factor: float = 2.0
side_decay_factor: float = 10.0
vram_O: bool = False
fp16: bool = True
hf_key: Optional[str] = None
t_range: List[float] = field(default_factory=lambda: [0.02, 0.5])
max_t_range: float = 0.98
num_train_timesteps: Optional[int] = None
fix_noise: bool = False
noise_seed: int = 0
delta_t: int = 80
annealing_intervals: bool = True
text: str = ""
inverse_text: str = ""
textual_inversion_path: Optional[str] = None
LoRA_path: Optional[str] = None
negative: str = ""
guidance_scale: float = 7.5
denoise_guidance_scale: float = 1.0
lambda_guidance: float = 1.0
xs_eta: float = 0.0
# multi-batch
C_batch_size: int = 4
vis_interval: int = 100
stage_refine_t: int = 125
@dataclass
class ParamsGroups:
outdir: str = "logs"
# training batch size per iter
batch_size: int = 1
H: int = 800
W: int = 800
visualize_samples: bool = False
only_render: bool = False
modelParams: ModelParams = field(default_factory=ModelParams)
optimizationParams: OptimizationParams = field(default_factory=OptimizationParams)
reconOptimizationParams: OptimizationParams = field(
default_factory=OptimizationParams
)
sceneOptimizationParams: OptimizationParams = field(
default_factory=OptimizationParams
)
reconSceneOptimizationParams: OptimizationParams = field(
default_factory=OptimizationParams
)
fineSceneOptimizationParams: OptimizationParams = field(
default_factory=OptimizationParams
)
pipelineParams: PipelineParams = field(default_factory=PipelineParams)
generateCamParams: GenerateCamParams = field(default_factory=GenerateCamParams)
sceneGenerateCamParams: GenerateCamParams = field(default_factory=GenerateCamParams)
guidanceParams: GuidanceParams = field(default_factory=GuidanceParams)
editParams: Optional[Dict] = None
seed: int = 0
log: Optional[Dict] = None
scene_configs: Optional[Dict] = None
mode_args: Optional[Dict] = None
@dataclass
class ObjectParams:
id: str = ""
sh_degree: int = 3
text: str = ""
negative_text: str = ""
image: str = ""
init_guided: str = "pointe"
init_prompt: str = ""
cam_pose_method: str = "object"
use_pointe_rgb: bool = False
num_pts: int = 20000
radius: float = 0.5
@dataclass
class ObjectsParamsGroups:
# training batch size per iter
batch_size: int = 1
H: int = 800
W: int = 800
visualize_samples: bool = False
modelParams: ModelParams = field(default_factory=ModelParams)
optimizationParams: OptimizationParams = field(default_factory=OptimizationParams)
reconOptimizationParams: OptimizationParams = field(
default_factory=OptimizationParams
)
pipelineParams: PipelineParams = field(default_factory=PipelineParams)
generateCamParams: GenerateCamParams = field(default_factory=GenerateCamParams)
guidanceParams: GuidanceParams = field(default_factory=GuidanceParams)
objectParams: ObjectParams = field(default_factory=ObjectParams)
seed: int = 0
log: Optional[Dict] = None
mode_args: Optional[Dict] = None