sam-license
Fonte do modelo
Descrição da fonte
This is an ungated mirror of Meta's SAM3 model weights, redistributed under the SAM License for easier access.
SAM3 (Segment Anything Model 3) is Meta AI's state-of-the-art foundation model for in images and videos. It supports:
Fontes
1 fonteVerificado 27 de set.
Artefatos de modelo
1 artefatoTrechos de fonte
2 trechos| File | Description |
|---|---|
sam3.safetensors | Model weights (safetensors format, converted from official .pt) |
LICENSE | SAM License (required for redistribution) |
The sam3.safetensors in this repo is converted directly from the official sam3.pt checkpoint using:
import torch
from safetensors.torch import save_file
state_dict = torch.load("sam3.pt", map_location="cpu")
save_file(state_dict, "sam3.safetensors")
This preserves the original key names (detector.*, tracker.*). Do not use the HuggingFace Transformers-format safetensors from facebook/sam3 — those have different key names (detector_model.*) and are incompatible with build_sam3_video_model().
# With the official sam3 package
pip install sam3
from sam3.model_builder import build_sam3_image_model
model = build_sam3_image_model(checkpoint_path="sam3.safetensors")
This model is distributed under the SAM License — see the LICENSE file. Key points:
--- license: other license_name: sam-license license_link: LICENSE tags: - segmentation - image-segmentation - video-segmentation - sam3 - meta - pytorch - safetensors pipeline_tag: image-segmentation base_model: facebook/sam3 --- # SAM3 — Segment Anything Model 3 This is an **ungated mirror** of Meta's [SAM3](https://github.com/facebookresearch/sam3) model weights, redistributed under the [SAM License](LICENSE) for easier access. ## What is SAM3? SAM3 (Segment Anything Model 3) is Meta AI's state-of-the-art foundation model for **promptable segmentation** in images and videos. It supports: - **Text prompts** — segment objects by describing them (e.g. *"the dog"*) - **Bounding box prompts** — precise region targeting - **Point prompts** — click-to-segment - **Video tracking** — track and segment objects across video frames - **Automatic mask generation** — segment all objects in a scene ## Files | File | Description | |---|---| | `sam3.safetensors` | Model weights (safetensors format, converted from official `.pt`) | | `LICENSE` | SAM License (required for redistribution) | ## ⚠️ Conversion Note The `sam3.safetensors` in this repo is converted **directly from the official `sam3.pt`** checkpoint using: ```python import torch from safetensors.torch import save_file state_dict = torch.load("sam3.pt", map_location="cpu") save_file(state_dict, "sam3.safetensors") ``` This preserves the original key names (`detector.*`, `tracker.*`). Do **not** use the HuggingFace Transformers-format safetensors from `facebook/sam3` — those have different key names (`detector_model.*`) and are **incompatible** with `build_sam3_video_model()`. ## Usage ```python # With the official sam3 package pip install sam3 from sam3.model_builder import build_sam3_image_model model = build_sam3_image_model(checkpoint_path="sam3.safetensors") ``` ## License This model is distributed under the **SAM License** — see the [LICENSE](LICENSE) file. Key points: - ✅ Commercial use permitted - ✅ Redistribution permitted (with license included) - ✅ Derivative works permitted - ❌ No military/warfare, nuclear, or espionage use - ❌ No reverse engineering ## Credits - **Original model by**: [Meta AI (FAIR)](https://github.com/facebookresearch/sam3) - **Original HuggingFace repo**: [facebook/sam3](https://huggingface.co/facebook/sam3) - **Paper**: *Segment Anything Model 3* (subm...
Source context: 329 downloads · 7 likes · Pipeline image-segmentation · Repo AEmotionStudio/sam3