Elgato_dark/ultralytics
1
0
Fork 0
mirror of https://github.com/ultralytics/ultralytics synced 2026-04-21 14:07:18 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions 8

Auto-format by https://ultralytics.com/actions

Browse source
This commit is contained in:
UltralyticsAssistant 2026-04-20 17:10:12 +00:00
parent 9f7236ebdb
commit 768dcb221f
1 changed files with 12 additions and 12 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

24
docs/en/guides/export-non-yolo-models.md
View file

@ -22,18 +22,18 @@ Ultralytics ships standalone export utilities that wrap all of these behind one
The `torch2*` functions take a standard `torch.nn.Module` and an example input tensor. MNN, TF SavedModel, and TF Frozen Graph go through an intermediate ONNX or Keras artifact. No YOLO-specific attributes are required in either case.
| Format | Function | Install | Output |
| --------------- | --------------------- | -------------------------------------------------- | ------------------------------ |
| ONNX | `torch2onnx()` | `pip install onnx` | `.onnx` file |
| TorchScript | `torch2torchscript()` | included with PyTorch | `.torchscript` file |
| OpenVINO | `torch2openvino()` | `pip install openvino` | `_openvino_model/` directory |
| CoreML | `torch2coreml()` | `pip install coremltools` | `.mlpackage` |
| TF SavedModel | `onnx2saved_model()` | see detailed requirements below | `_saved_model/` directory |
| TF Frozen Graph | `keras2pb()` | same as TF SavedModel | `.pb` file |
| NCNN | `torch2ncnn()` | `pip install ncnn pnnx` | `_ncnn_model/` directory |
| MNN | `onnx2mnn()` | `pip install MNN` | `.mnn` file |
| PaddlePaddle | `torch2paddle()` | `pip install paddlepaddle x2paddle` | `_paddle_model/` directory |
| ExecuTorch | `torch2executorch()` | `pip install executorch` | `_executorch_model/` directory |
| Format | Function | Install | Output |
| --------------- | --------------------- | ----------------------------------- | ------------------------------ |
| ONNX | `torch2onnx()` | `pip install onnx` | `.onnx` file |
| TorchScript | `torch2torchscript()` | included with PyTorch | `.torchscript` file |
| OpenVINO | `torch2openvino()` | `pip install openvino` | `_openvino_model/` directory |
| CoreML | `torch2coreml()` | `pip install coremltools` | `.mlpackage` |
| TF SavedModel | `onnx2saved_model()` | see detailed requirements below | `_saved_model/` directory |
| TF Frozen Graph | `keras2pb()` | same as TF SavedModel | `.pb` file |
| NCNN | `torch2ncnn()` | `pip install ncnn pnnx` | `_ncnn_model/` directory |
| MNN | `onnx2mnn()` | `pip install MNN` | `.mnn` file |
| PaddlePaddle | `torch2paddle()` | `pip install paddlepaddle x2paddle` | `_paddle_model/` directory |
| ExecuTorch | `torch2executorch()` | `pip install executorch` | `_executorch_model/` directory |
!!! note "ONNX as an intermediate format"