Upload config.yaml
Browse files- config.yaml +38 -0
config.yaml
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
cond_image_size: 512
|
| 2 |
+
|
| 3 |
+
image_tokenizer_cls: tsr.models.tokenizers.image.DINOSingleImageTokenizer
|
| 4 |
+
image_tokenizer:
|
| 5 |
+
pretrained_model_name_or_path: "facebook/dino-vitb16"
|
| 6 |
+
|
| 7 |
+
tokenizer_cls: tsr.models.tokenizers.triplane.Triplane1DTokenizer
|
| 8 |
+
tokenizer:
|
| 9 |
+
plane_size: 32
|
| 10 |
+
num_channels: 1024
|
| 11 |
+
|
| 12 |
+
backbone_cls: tsr.models.transformer.transformer_1d.Transformer1D
|
| 13 |
+
backbone:
|
| 14 |
+
in_channels: ${tokenizer.num_channels}
|
| 15 |
+
num_attention_heads: 16
|
| 16 |
+
attention_head_dim: 64
|
| 17 |
+
num_layers: 16
|
| 18 |
+
cross_attention_dim: 768
|
| 19 |
+
|
| 20 |
+
post_processor_cls: tsr.models.network_utils.TriplaneUpsampleNetwork
|
| 21 |
+
post_processor:
|
| 22 |
+
in_channels: 1024
|
| 23 |
+
out_channels: 40
|
| 24 |
+
|
| 25 |
+
decoder_cls: tsr.models.network_utils.NeRFMLP
|
| 26 |
+
decoder:
|
| 27 |
+
in_channels: 120 # 3 * 40
|
| 28 |
+
n_neurons: 64
|
| 29 |
+
n_hidden_layers: 9
|
| 30 |
+
activation: silu
|
| 31 |
+
|
| 32 |
+
renderer_cls: tsr.models.nerf_renderer.TriplaneNeRFRenderer
|
| 33 |
+
renderer:
|
| 34 |
+
radius: 0.87 # slightly larger than 0.5 * sqrt(3)
|
| 35 |
+
feature_reduction: concat
|
| 36 |
+
density_activation: exp
|
| 37 |
+
density_bias: -1.0
|
| 38 |
+
num_samples_per_ray: 128
|