sam3

Build, integrate, fine-tune, and evaluate Meta SAM 3 with reproducible commands and minimal setup friction.

| Install SAM 3 and run first inference | Follow setup in references/setup-and-inference.md | | Add SAM 3 to an existing Python app | Generate starter code with scripts/createinferencestarter.py and adapt API calls | | Verify environment before setup/inference | Run scripts/sam3preflightcheck.py |

| Fine-tune on custom data | Use references/training-and-eval.md training flow and config guidance | | Run SA-Co benchmarks or eval custom predictions | Use eval commands in references/training-and-eval.md and upstream scripts/eval/ docs | | Debug runtime failures | Run the troubleshooting checklist in references/setup-and-inference.md |

创建并使用 Meta SAM 3 (facebookresearch/sam3)，通过文本、点、框和蒙版提示进行开放词汇图像和视频分割。在设置 SAM3 环境、请求 Hugging Face 检查点访问、生成推理脚本、将 SAM3 集成到 Python 应用程序、使用 sam3/train 配置进行微调、运行 SA-Co 或自定义评估或调试 CUDA/检查点/提示管道问题时使用。 来源：jakerains/agentskills。