voyager-add-modellisted

# Add Custom Model Add a custom model to the Voyager SDK model zoo for Axelera AI hardware ## Instructions Add the specified model: **$ARGUMENTS** ### Step 0: Data Source & Environment Selection {{INCLUDE common/voyager-sdk-setup.md}} ### Step 0.5: Axelera Voyager Project & Task Integration {{INCLUDE common/voyager-task-integration.md}} ### Step 1: Model Source Identification Determine model source format: - **PyTorch**: `.pt`, `.pth` files or torchvision/timm model name - **ONNX**: `.onnx` file - **TensorFlow**: Convert to ONNX first - **Custom**: Define custom model class ### Step 2: Model Requirements Analysis Gather model information: - Input shape (batch, channels, height, width) - Input format (RGB/BGR, NCHW/NHWC) - Normalization parameters (mean, std) - Output format and shape - Model task (detection, classification, etc.) ### Step 3: SDK-Native YAML Integration Do not author a freehand YAML schema. Start from the nearest existing SDK YAML under `ax_models/zoo/`, `ax_models/reference/`, `pipeline-template/`, or `docs/tutorials/custom-weights.md`, then change only fields backed by the model metadata and the Grounding Ledger. Required SDK YAML fields normally include: - `axelera-model-format`, `name`, `description` - `pipeline` tasks with SDK operators such as `letterbox`, `torch-totensor`, and `decodeyolo` only when verified in the source YAML or `docs/reference/pipeline/yaml-operators.md` - `models` entries with SDK classes such as `AxONNXModel`,