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 |

建立並使用 Meta SAM 3 (facebookresearch/sam3)，透過文字、點、框和遮罩提示進行開放詞彙圖像和視訊分割。在設定 SAM3 環境、請求 Hugging Face 檢查點存取、產生推理腳本、將 SAM3 整合到 Python 應用程式、使用 sam3/train 配置進行微調、執行 SA-Co 或自訂評估或偵錯 CUDA/檢查點/提示管道問題時使用。 來源：jakerains/agentskills。