Use macros for Docs tables de-duplication (#14990)
Co-authored-by: UltralyticsAssistant <web@ultralytics.com> Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>pull/15068/head
Francesco Mattioli
4 months ago
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20 changed files with 54 additions and 184 deletions
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| Argument | Type | Default | Description | |
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| ----------- | ---------------- | --------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------- | |
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| `format` | `str` | `'torchscript'` | Target format for the exported model, such as `'onnx'`, `'torchscript'`, `'tensorflow'`, or others, defining compatibility with various deployment environments. | |
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| `imgsz` | `int` or `tuple` | `640` | Desired image size for the model input. Can be an integer for square images or a tuple `(height, width)` for specific dimensions. | |
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| `keras` | `bool` | `False` | Enables export to Keras format for TensorFlow SavedModel, providing compatibility with TensorFlow serving and APIs. | |
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| `optimize` | `bool` | `False` | Applies optimization for mobile devices when exporting to TorchScript, potentially reducing model size and improving performance. | |
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| `half` | `bool` | `False` | Enables FP16 (half-precision) quantization, reducing model size and potentially speeding up inference on supported hardware. | |
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| `int8` | `bool` | `False` | Activates INT8 quantization, further compressing the model and speeding up inference with minimal accuracy loss, primarily for edge devices. | |
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| `dynamic` | `bool` | `False` | Allows dynamic input sizes for ONNX, TensorRT and OpenVINO exports, enhancing flexibility in handling varying image dimensions. | |
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| `simplify` | `bool` | `False` | Simplifies the model graph for ONNX exports with `onnxslim`, potentially improving performance and compatibility. | |
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| `opset` | `int` | `None` | Specifies the ONNX opset version for compatibility with different ONNX parsers and runtimes. If not set, uses the latest supported version. | |
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| `workspace` | `float` | `4.0` | Sets the maximum workspace size in GiB for TensorRT optimizations, balancing memory usage and performance. | |
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| `nms` | `bool` | `False` | Adds Non-Maximum Suppression (NMS) to the CoreML export, essential for accurate and efficient detection post-processing. | |
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| `batch` | `int` | `1` | Specifies export model batch inference size or the max number of images the exported model will process concurrently in `predict` mode. | |
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| Format | `format` Argument | Model | Metadata | Arguments | |
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| ------------------------------------------------- | ----------------- | ----------------------------------------------- | -------- | -------------------------------------------------------------------- | |
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| [PyTorch](https://pytorch.org/) | - | `{{ model_name or "yolov8n" }}.pt` | ✅ | - | |
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| [TorchScript](../integrations/torchscript.md) | `torchscript` | `{{ model_name or "yolov8n" }}.torchscript` | ✅ | `imgsz`, `optimize`, `batch` | |
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| [ONNX](../integrations/onnx.md) | `onnx` | `{{ model_name or "yolov8n" }}.onnx` | ✅ | `imgsz`, `half`, `dynamic`, `simplify`, `opset`, `batch` | |
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| [OpenVINO](../integrations/openvino.md) | `openvino` | `{{ model_name or "yolov8n" }}_openvino_model/` | ✅ | `imgsz`, `half`, `int8`, `batch` | |
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| [TensorRT](../integrations/tensorrt.md) | `engine` | `{{ model_name or "yolov8n" }}.engine` | ✅ | `imgsz`, `half`, `dynamic`, `simplify`, `workspace`, `int8`, `batch` | |
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| [CoreML](../integrations/coreml.md) | `coreml` | `{{ model_name or "yolov8n" }}.mlpackage` | ✅ | `imgsz`, `half`, `int8`, `nms`, `batch` | |
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| [TF SavedModel](../integrations/tf-savedmodel.md) | `saved_model` | `{{ model_name or "yolov8n" }}_saved_model/` | ✅ | `imgsz`, `keras`, `int8`, `batch` | |
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| [TF GraphDef](../integrations/tf-graphdef.md) | `pb` | `{{ model_name or "yolov8n" }}.pb` | ❌ | `imgsz`, `batch` | |
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| [TF Lite](../integrations/tflite.md) | `tflite` | `{{ model_name or "yolov8n" }}.tflite` | ✅ | `imgsz`, `half`, `int8`, `batch` | |
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| [TF Edge TPU](../integrations/edge-tpu.md) | `edgetpu` | `{{ model_name or "yolov8n" }}_edgetpu.tflite` | ✅ | `imgsz` | |
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| [TF.js](../integrations/tfjs.md) | `tfjs` | `{{ model_name or "yolov8n" }}_web_model/` | ✅ | `imgsz`, `half`, `int8`, `batch` | |
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| [PaddlePaddle](../integrations/paddlepaddle.md) | `paddle` | `{{ model_name or "yolov8n" }}_paddle_model/` | ✅ | `imgsz`, `batch` | |
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| [NCNN](../integrations/ncnn.md) | `ncnn` | `{{ model_name or "yolov8n" }}_ncnn_model/` | ✅ | `imgsz`, `half`, `batch` | |
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