Camshowrecordings/model/sam_samantha/5 Portable Jun 2026

Webcam modeling has shifted from purely live interactions to a hybrid VOD model. Viewers frequently seek out recorded sessions for several reasons:

camshowrecordings/ │ ├─ data/ # Raw video recordings, annotation files, etc. │ ├─ model/ │ └─ sam_samantha/ │ ├─ 5/ │ │ ├─ config.yaml # Model hyper‑parameters & architecture │ │ ├─ model.ckpt # Serialized weights (PyTorch checkpoint) │ │ ├─ tokenizer/ # If the model uses any tokenizers │ │ └─ README.md # Model‑specific notes │ ├─ 4/ ... (older versions) │ └─ latest -> 5/ # Symlink to the newest version │ ├─ scripts/ # Example utilities, e.g., run_inference.py │ ├─ notebooks/ # Jupyter notebooks for exploration │ └─ README.md camshowrecordings/model/sam_samantha/5

# 1️⃣ Clone the repo (replace URL with the actual one) git clone https://github.com/yourorg/camshowrecordings.git cd camshowrecordings Webcam modeling has shifted from purely live interactions

Below is a compact example that reads a video file, runs the model on every N ‑th frame, and writes an output video with the segmentation overlay. (older versions) │ └─ latest -> 5/ #

model: name: sam_samantha version: 5 backbone: vit_h image_size: 1024 num_classes: 1 # Usually segmentation → binary mask preprocess: normalize: true mean: [0.485, 0.456, 0.406] std: [0.229, 0.224, 0.225] device: cuda

If you have a GPU, make sure torch.cuda.is_available() returns True . The script will automatically use the device defined in config.yaml .

# ------------------------------------------------------------------ # 1️⃣ Helper: load configuration # ------------------------------------------------------------------ CONFIG_PATH = Path(__file__).parent / "model" / "sam_samantha" / "5" / "config.yaml" with open(CONFIG_PATH, "r") as f: cfg = yaml.safe_load(f)