Does this crate support ncnn?

### Search before asking - [x] I have searched the Ultralytics [issues](https://github.com/ultralytics/PROJECT_NAME/issues) and [discussions](https://github.com/orgs/ultralytics/discussions) and found no similar questions. ### Question I have this code: ```rs use ultralytics_inference::{YOLOModel, InferenceConfig}; fn main() { // Load your custom NCNN model (auto-detects format) let mut model = YOLOModel::load("custom_ncnn_model/").unwrap(); // Configure exactly like Python predict params let mut config = InferenceConfig::default(); config.confidence_threshold = 0.6; // Confidence threshold //config. = true; // Real-time display window //config.line_thickness = 2; // Box line thickness config.save = false; // No output saving //config.stream = true; // Process video frame-by-frame // Run prediction (handles video streaming + visualization automatically) //model.predict_config("video.mp4", config); model.predict("video.mp4").unwrap(); } ``` However I get this error: ```cmd thread 'main' (100562) panicked at src/main.rs:6:59: called `Result::unwrap()` on an `Err` value: ModelLoadError("Failed to load model: Load model from custom_ncnn_model/ failed:Protobuf parsing failed.") note: run with `RUST_BACKTRACE=1` environment variable to display a backtrace ``` Doesn't this crate support `ncnn` models? Do I _have_ to use `onnx` instead? ### Additional _No response_