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Adding configs
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eduardramon committed Jan 5, 2021
1 parent 7ebda2a commit 1cd211a
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train{
expname = crx_trained_cameras_idr
dataset_class = datasets.scene_dataset.SceneDataset
model_class = models.idr.IDRNetwork
loss_class = models.loss.IDRLoss
learning_rate = 1.0e-4
learning_rate_cam = 1.0e-4
num_pixels = 2048
plot_freq = 100
alpha_milestones = [250,500,750,1000,1250]
alpha_factor = 2
sched_milestones = [1000,1500]
sched_factor = 0.5
}
plot{
plot_nimgs = 1
max_depth = 3.0
resolution = 100
}
loss{
eikonal_weight = 0.1
mask_weight = 100.0
alpha = 50.0
}
dataset{
data_dir = CRX
img_res = [600, 804]
scene_id = 0a2dc48d7f4fd6ff
views = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 47, 48, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 67, 69, 70, 71]
}
model{
feature_vector_size = 256
geometry_network
{
d_in = 3
d_out = 1
dims = [ 512, 512, 512, 512, 512, 512, 512, 512 ]
geometric_init = True
bias = 0.6
skip_in = [4]
weight_norm = True
multires = 6
}
rendering_network
{
mode = idr
d_in = 9
d_out = 3
dims = [ 512, 512, 512, 512]
weight_norm = True
multires_view = 4
}
ray_tracer
{
object_bounding_sphere = 1.0
sdf_threshold = 5.0e-5
line_search_step = 0.5
line_step_iters = 3
sphere_tracing_iters = 10
n_steps = 100
n_secant_steps = 8
}
}
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train{
expname = crx_trained_cameras_prior
dataset_class = datasets.scene_dataset.SceneDataset
model_class = models.idr_prior.IDRNetwork
loss_class = models.loss.IDRLoss
learning_rate = 1.0e-4
learning_rate_cam = 1.0e-4
num_pixels = 2048
plot_freq = 100
alpha_milestones = [250,500,750,1000,1250]
alpha_factor = 2
sched_milestones = [1000,1500]
sched_factor = 0.5
}
plot{
plot_nimgs = 1
max_depth = 3.0
resolution = 100
}
loss{
eikonal_weight = 0.1
mask_weight = 100.0
alpha = 50.0
}
dataset{
data_dir = CRX
img_res = [600, 804]
scene_id = 0a2dc48d7f4fd6ff
views = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 47, 48, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 67, 69, 70, 71]
}
model{
geometry_network
{
d_in = 3
d_out = 1
dims = [ 512, 512, 512, 512, 512, 512, 512, 512 ]
geometric_init = True
bias = 0.6
skip_in = [4]
weight_norm = True
multires = 6
latent_size = 256
deep_sdf_weights = /home/eduardramon/idr_project/deep_sdf.pth
deep_sdf_trainable = True
}
appearance_network
{
d_in = 3
d_out = 256
dims = [ 512, 512, 512, 512, 512, 512, 512, 512 ]
skip_in = [4]
weight_norm = True
multires = 6
}
rendering_network
{
feature_vector_size = 256
mode = idr
d_in = 9
d_out = 3
dims = [ 512, 512, 512, 512]
weight_norm = True
multires_view = 4
}
ray_tracer
{
object_bounding_sphere = 1.0
sdf_threshold = 5.0e-5
line_search_step = 0.5
line_step_iters = 3
sphere_tracing_iters = 10
n_steps = 100
n_secant_steps = 8
}
}
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train{
expname = crx_trained_cameras_prior
dataset_class = datasets.scene_dataset.SceneDataset
model_class = models.idr_prior.IDRNetwork
loss_class = models.loss.IDRLoss
learning_rate = 1.0e-4
learning_rate_cam = 1.0e-4
num_pixels = 2048
plot_freq = 100
alpha_milestones = [250,500,750,1000,1250]
alpha_factor = 2
sched_milestones = [1000,1500]
sched_factor = 0.5
}
plot{
plot_nimgs = 1
max_depth = 3.0
resolution = 100
}
loss{
eikonal_weight = 0.1
mask_weight = 100.0
alpha = 50.0
}
dataset{
data_dir = CRX
img_res = [600, 804]
scene_id = 0a2dc48d7f4fd6ff
}
model{
geometry_network
{
d_in = 3
d_out = 1
dims = [ 512, 512, 512, 512, 512, 512, 512, 512 ]
geometric_init = True
bias = 0.6
skip_in = [4]
weight_norm = True
multires = 6
latent_size = 256
deep_sdf_weights = /home/eduardramon/idr_project/deep_sdf.pth
deep_sdf_trainable = True
}
appearance_network
{
d_in = 3
d_out = 256
dims = [ 512, 512, 512, 512, 512, 512, 512, 512 ]
skip_in = [4]
weight_norm = True
multires = 6
}
rendering_network
{
feature_vector_size = 256
mode = idr
d_in = 9
d_out = 3
dims = [ 512, 512, 512, 512]
weight_norm = True
multires_view = 4
}
ray_tracer
{
object_bounding_sphere = 1.0
sdf_threshold = 5.0e-5
line_search_step = 0.5
line_step_iters = 3
sphere_tracing_iters = 10
n_steps = 100
n_secant_steps = 8
}
}

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