Camshowrecordings/model/sam_samantha/5 [POPULAR]

# Convert BGR → RGB img_rgb = cv2.cvtColor(img_resized, cv2.COLOR_BGR2RGB)

# Normalize img_norm = img_rgb.astype(np.float32) / 255.0 mean = np.array(cfg["preprocess"]["mean"]) std = np.array(cfg["preprocess"]["std"]) img_norm = (img_norm - mean) / std camshowrecordings/model/sam_samantha/5

def process_video(in_path: Path, out_path: Path, stride: int = 5): cap = cv2.VideoCapture(str(in_path)) if not cap.isOpened(): raise RuntimeError(f"Cannot open in_path") # Convert BGR → RGB img_rgb = cv2