Camshowrecordings/model/sam_samantha/5

python video_segment.py recordings/2024-03-15.mp4 recordings/2024-03-15_segmented.mp4 --stride 3 Adjust stride to balance speed vs. temporal resolution. | Symptom | Likely Cause | Fix | |---------|--------------|-----| | RuntimeError: CUDA out of memory | Batch size > 1 or image size too large for GPU. | Reduce stride , lower image_size in config.yaml , or switch to CPU ( device: cpu ). | | FileNotFoundError on model.ckpt | Wrong relative path or missing checkpoint. | Verify the file exists in camshowrecordings/model/sam_samantha/5/ . If you cloned a shallow repo, run git lfs pull . | | ImportError: cannot import name 'SamSamantha' | Model class location changed. | Look inside the repo’s camshowrecordings/models/ folder for the exact class name; update the import accordingly. | | torch.cuda.is_available() == False even though GPU is present | Missing or mismatched CUDA toolkit / driver. | Install the correct NVIDIA driver + matching CUDA version, then reinstall PyTorch with the appropriate --index-url flag. | | Segmentation masks are all black | Model not switched to evaluation mode or preprocessing mismatch. | Ensure

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

# ------------------------------------------------------------------ # 2️⃣ Helper: build the model (adjust to your repo's factory function) # ------------------------------------------------------------------ def build_model(cfg): """ Replace the body of this function with the actual model‑building logic from camshowrecordings. """ from camshowrecordings.models.sam import SamSamantha # Example import model = SamSamantha( backbone=cfg["model"]["backbone"], img_size=cfg["model"]["image_size"], num_classes=cfg["model"]["num_classes"] ) return model camshowrecordings/model/sam_samantha/5

# ------------------------------------------------------------------ # 6️⃣ Demo on a sample image # ------------------------------------------------------------------ if __name__ == "__main__": import argparse

# Visualise side‑by‑side overlay = cv2.addWeighted(img, 0.7, cv2.cvtColor(mask, cv2.COLOR_GRAY2BGR), 0.3, 0) cv2.imshow("Original", img) cv2.imshow("Mask", mask) cv2.imshow("Overlay", overlay) cv2.waitKey(0) cv2.destroyAllWindows() python video_segment

mask = infer(img)

In short: camshowrecordings/model/sam_samantha/5 points to the of the SAM‑Samantha model inside the CamShowRecordings codebase. 2️⃣ Prerequisites | Requirement | Why You Need It | Quick Install | |-------------|----------------|---------------| | Python ≥ 3.8 | Most model code (PyTorch / TensorFlow) runs on modern Python. | python -V sudo apt-get install python3 (Linux) | | Git | To clone the repo or pull updates. | git --version | | Virtual Environment (venv, conda, poetry) | Keeps dependencies isolated. | python -m venv venv && source venv/bin/activate | | PyTorch ≥ 2.0 (or TensorFlow if the repo uses TF) | Underlying deep‑learning framework. | pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118 | | OpenCV | For loading video frames and visualising results. | pip install opencv-python | | NumPy, tqdm | Common utilities. | pip install numpy tqdm | | Optional: CUDA Toolkit | If you want GPU acceleration. | Follow NVIDIA’s installer for your GPU. | Tip: Most projects ship a requirements.txt or environment.yml . After cloning the repo, just run pip install -r requirements.txt (or conda env create -f environment.yml ). 3️⃣ Repository Layout (Typical) 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 If you only see latest pointing to 5 , you’re already looking at the most recent release. 4️⃣ Getting the Code # 1️⃣ Clone the repo (replace URL with the actual one) git clone https://github.com/yourorg/camshowrecordings.git cd camshowrecordings | Reduce stride , lower image_size in config

# HWC → CHW and add batch dim tensor = torch.from_numpy(img_norm).permute(2, 0, 1).unsqueeze(0) return tensor.to(device)