Commit 6294701e authored by Nianchen Deng's avatar Nianchen Deng
Browse files

sync

parent 2824f796
{
"model": "SNeRFX",
"args": {
"color": "rgb",
"encode_x": 10,
"encode_d": 4,
"core": "nerfadv",
"core_params": {
"density_net": {
"nf": 128,
"n_layers": 4
},
"color_net": {
"nf": 128,
"n_layers": 4
},
"specular_net": {
"nf": 64,
"n_layers": 1
},
"appearance": "combined"
},
"n_featdim": 0,
"space": "voxels",
"steps": [16, 64, 32],
"n_samples": 64,
"multi_nets": 4,
"cut_by": "_nets/lr_view_t0.8_r360x80_train/_lr_snerfadv_voxels+ls_256x2+256x2/checkpoint_50.tar"
},
"train": {
"max_epochs": 50,
"prune_epochs": [10],
"split_epochs": [10, 30],
"checkpoint_interval": 10,
"density_regularization_weight": 1e-4,
"density_regularization_scale": 1e4
}
}
\ No newline at end of file
{
"model": "SNeRFAdvanceX",
"args": {
"color": "rgb",
"encode_x": 10,
"encode_d": 4,
"core": "nerfadv",
"core_params": {
"density_net": {
"nf": 256,
"n_layers": 2
},
"color_net": {
"nf": 256,
"n_layers": 2
},
"specular_net": {
"nf": 128,
"n_layers": 1,
"act": "relu"
},
"appearance": "combined"
},
"n_featdim": 0,
"space": "voxels",
"steps": [16, 64, 32],
"n_samples": 64,
"multi_nets": 4,
"cut_by": "_nets/lr_view_t0.8_r360x80_train/_lr_snerfadv_voxels+ls_256x2+256x2/checkpoint_50.tar"
},
"train": {
"max_epochs": 50,
"prune_epochs": [10],
"split_epochs": [10, 30],
"checkpoint_interval": 10,
"density_regularization_weight": 1e-4,
"density_regularization_scale": 1e4
}
}
\ No newline at end of file
......@@ -2,33 +2,40 @@
"model": "SNeRFAdvanceX",
"args": {
"color": "rgb",
"n_pot_encode": 10,
"n_dir_encode": 4,
"encode_x": 10,
"encode_d": 4,
"density_net": {
"nf": 128,
"nf": 64,
"n_layers": 4,
"act": "relu",
"skips": []
},
"color_net": {
"nf": 128,
"n_layers": 3,
"nf": 64,
"n_layers": 4,
"act": "relu",
"skips": []
},
"specular_net": {
"nf": 128,
"nf": 64,
"n_layers": 1,
"act": "relu"
},
"n_featdim": 0,
"space": "_nets/hr_r0.8s/snerfadv_voxels+ls6/checkpoint_50.tar",
"n_samples": 256,
"perturb_sample": true,
"space": "voxels",
"steps": [16, 64, 32],
"n_samples": 64
"appearance": "combined",
"density_color_connection": true,
"density_regularization_weight": 1e-4,
"density_regularization_scale": 1e4,
"multi_nets": 16
"multi_nets": 4,
"cut_by": "_nets/lr_view_t0.8_r360x80_train/_lr_snerfadv_voxels+ls_256x2+256x2/checkpoint_50.tar"
},
"train": {
"max_epochs": 50,
"prune_epochs": [10],
"split_epochs": [10, 30],
"checkpoint_interval": 10
}
}
\ No newline at end of file
......@@ -2,21 +2,15 @@
"model": "NeRF",
"args": {
"color": "rgb",
"n_pot_encode": 10,
"n_dir_encode": 4,
"fc_params": {
"encode_x": 10,
"encode_d": 4,
"core_params": {
"nf": 256,
"n_layers": 8,
"activation": "relu",
"skips": [ 4 ]
},
"n_featdim": 0,
"sample_range": [0, 10],
"n_samples": 256,
"perturb_sample": true,
"spherical": false,
"lindisp": false,
"raymarching_tolerance": 0,
"raymarching_chunk_size": -1
"n_samples": 256
}
}
\ No newline at end of file
......@@ -2,23 +2,24 @@
"model": "NeRF",
"args": {
"color": "rgb",
"n_pot_encode": 10,
"n_dir_encode": 4,
"fc_params": {
"encode_x": 10,
"encode_d": 4,
"core_params": {
"nf": 256,
"n_layers": 8,
"activation": "relu",
"skips": [ 4 ]
},
"n_featdim": 0,
"space": "voxels",
"voxel_size": 0.5,
"sample_range": [0, 10],
"n_samples": 50,
"perturb_sample": true,
"spherical": false,
"lindisp": false,
"raymarching_tolerance": 0,
"raymarching_chunk_size": -1
"n_samples": 50
},
"train": {
"max_epochs": 50,
"prune_epochs": [5],
"split_epochs": [10],
"density_regularization_weight": 1e-4,
"density_regularization_scale": 1e4
}
}
\ No newline at end of file
{
"model": "NSVF",
"args": {
"color": "rgb",
"n_pot_encode": 10,
"n_dir_encode": 4,
"fc_params": {
"nf": 128,
"n_layers": 4,
"activation": "relu",
"skips": [ 4 ]
},
"n_featdim": 0,
"space": "octree",
"voxel_size": 0.5,
"sample_step_ratio": 0.2,
"perturb_sample": true,
"raymarching_tolerance": 0,
"raymarching_chunk_size": -1
}
}
\ No newline at end of file
......@@ -2,20 +2,21 @@
"model": "NSVF",
"args": {
"color": "rgb",
"n_pot_encode": 10,
"n_dir_encode": 4,
"fc_params": {
"encode_x": 10,
"encode_d": 4,
"core_params": {
"nf": 256,
"n_layers": 8,
"activation": "relu",
"skips": [ 4 ]
},
"n_featdim": 0,
"space": "octree",
"voxel_size": 0.5,
"sample_step_ratio": 0.2,
"perturb_sample": true,
"raymarching_tolerance": 0,
"raymarching_chunk_size": -1
"sample_step_ratio": 0.2
},
"train": {
"max_epochs": 50,
"prune_epochs": [5],
"split_epochs": [10]
}
}
\ No newline at end of file
......@@ -2,20 +2,21 @@
"model": "NSVF",
"args": {
"color": "rgb",
"n_pot_encode": 10,
"n_dir_encode": 4,
"fc_params": {
"encode_x": 10,
"encode_d": 4,
"core_params": {
"nf": 256,
"n_layers": 8,
"activation": "relu",
"skips": [ 4 ]
},
"n_featdim": 0,
"space": "voxels",
"voxel_size": 0.5,
"sample_step_ratio": 0.2,
"perturb_sample": true,
"raymarching_tolerance": 0,
"raymarching_chunk_size": -1
"sample_step_ratio": 0.2
},
"train": {
"max_epochs": 50,
"prune_epochs": [5],
"split_epochs": [10]
}
}
\ No newline at end of file
def update_config(config):
# Net parameters
config.net = 'bgnet'
config.n_pos_encode = 10
config.encode_x = 10
config.fc.update({
'nf': 128,
'n_layers': 4
......
def update_config(config):
# Net parameters
config.net = 'cnerf128'
config.n_pos_encode = 10
config.encode_x = 10
config.depth_ref = True
config.fc.update({
'nf': 256,
......
def update_config(config):
# Net parameters
config.net = 'dnerfa'
config.n_pos_encode = 10
config.encode_x = 10
config.depth_ref = True
config.fc.update({
'nf': 256,
......
def update_config(config):
# Net parameters
config.net = 'snerffast4'
config.n_pos_encode = 6
#config.n_dir_encode = 4
config.encode_x = 6
#config.encode_d = 4
config.fc.update({
'nf': 512,
'n_layers': 4
......
def update_config(config):
# Net parameters
config.net = 'snerffast4'
config.n_pos_encode = 6
#config.n_dir_encode = 4
config.encode_x = 6
#config.encode_d = 4
config.fc.update({
'nf': 256,
'n_layers': 8
......
def update_config(config):
# Net parameters
config.net = 'snerffast4'
config.n_pos_encode = 6
#config.n_dir_encode = 4
config.encode_x = 6
#config.encode_d = 4
config.fc.update({
'nf': 256,
'n_layers': 8
......
def update_config(config):
# Net parameters
config.net = 'mslfast'
config.n_pos_encode = 6
config.encode_x = 6
config.fc.update({
'nf': 256,
'n_layers': 8
......
def update_config(config):
# Net parameters
config.net = 'nerf'
config.n_pos_encode = 10
config.encode_x = 10
config.fc.update({
'nf': 256,
'n_layers': 8
......
def update_config(config):
# Net parameters
config.net = 'snerffast4'
config.n_pos_encode = 6
#config.n_dir_encode = 4
config.encode_x = 6
#config.encode_d = 4
config.fc.update({
'nf': 256,
'n_layers': 8
......
def update_config(config):
# Net parameters
config.net = 'nerf'
config.n_pos_encode = 10
config.encode_x = 10
config.fc.update({
'nf': 96,
'n_layers': 4
......
def update_config(config):
# Net parameters
config.net = 'snerffast4'
config.n_pos_encode = 6
#config.n_dir_encode = 4
config.encode_x = 6
#config.encode_d = 4
config.fc.update({
'nf': 256,
'n_layers': 8
......
def update_config(config):
# Net parameters
config.net = 'nerf'
config.n_pos_encode = 10
#config.n_dir_encode = 4
config.encode_x = 10
#config.encode_d = 4
config.fc.update({
'nf': 256,
'n_layers': 8,
......
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