Instructions to use asdafdfafffg/sam-3d-objects with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SAM 3D Objects
How to use asdafdfafffg/sam-3d-objects with SAM 3D Objects:
from inference import Inference, load_image, load_single_mask from huggingface_hub import hf_hub_download path = hf_hub_download("asdafdfafffg/sam-3d-objects", "pipeline.yaml") inference = Inference(path, compile=False) image = load_image("path_to_image.png") mask = load_single_mask("path_to_mask.png", index=14) output = inference(image, mask) - Notebooks
- Google Colab
- Kaggle
File size: 576 Bytes
a99c0cd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | _target_: sam3d_objects.model.backbone.tdfy_dit.models.structured_latent_vae.decoder_gs.SLatGaussianDecoderTdfyWrapper
resolution: 64
model_channels: 768
latent_channels: 8
num_blocks: 12
num_heads: 12
mlp_ratio: 4
attn_mode: swin
window_size: 8
representation_config:
lr:
_xyz: 1.0
_features_dc: 1.0
_opacity: 1.0
_scaling: 1.0
_rotation: 0.1
perturb_offset: true
voxel_size: 1.5
num_gaussians: 32
2d_filter_kernel_size: 0.1
3d_filter_kernel_size: 0.0009
scaling_bias: 0.004
opacity_bias: 0.1
scaling_activation: softplus
use_fp16: true
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