Camshowrecordings/model/sam_samantha/5 -

# 2️⃣ Create & activate a virtual env (optional but recommended) python -m venv .venv source .venv/bin/activate # Windows: .venv\Scripts\activate

fps = cap.get(cv2.CAP_PROP_FPS) w = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)) h = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT)) camshowrecordings/model/sam_samantha/5

mask = infer(img)

parser = argparse.ArgumentParser(description="Run SAM‑Samantha v5 on a frame") parser.add_argument("image_path", type=str, help="Path to an image (or a video frame)") args = parser.parse_args() # 2️⃣ Create & activate a virtual env

# ----------------------------------------------------------- # file: run_inference.py # ----------------------------------------------------------- import yaml import torch import cv2 import numpy as np from pathlib import Path camshowrecordings/model/sam_samantha/5