From b84e3b2b83eb09d802d9d12642ebffd6d27572d6 Mon Sep 17 00:00:00 2001 From: wehub-resource-sync Date: Mon, 13 Jul 2026 10:28:38 +0000 Subject: [PATCH] docs: make Chinese README the default --- README.md | 44 +++++++++++++++++++++++++------------------- 1 file changed, 25 insertions(+), 19 deletions(-) diff --git a/README.md b/README.md index e09357f..e9316bd 100644 --- a/README.md +++ b/README.md @@ -1,39 +1,45 @@ + +> [!NOTE] +> 本文档由 WeHub 基于上游 README 翻译整理，属于社区翻译，非官方中文文档。 +> [English](./README.en.md) · [原始项目](https://github.com/lutzroeder/netron) · [上游 README](https://github.com/lutzroeder/netron/blob/HEAD/README.md) +> 原作者、版权与许可证归属以原始项目及本仓库 LICENSE 文件为准。 +
-Netron is a viewer for neural network, deep learning and machine learning models. +Netron 是一款用于查看神经网络、深度学习与机器学习模型的查看器。 -Netron supports ONNX, TensorFlow Lite, PyTorch, torch.export, ExecuTorch, TorchScript, TensorFlow, Core ML, OpenVINO, Keras, Caffe, Darknet, Safetensors and NumPy. +Netron 支持 ONNX、TensorFlow Lite、PyTorch、torch.export、ExecuTorch、TorchScript、TensorFlow、Core ML、OpenVINO、Keras、Caffe、Darknet、Safetensors 和 NumPy。 -Netron has experimental support for MLIR, JAX, GGUF, RKNN, ncnn, MNN, PaddlePaddle and scikit-learn. +Netron 对 MLIR、JAX、GGUF、RKNN、ncnn、MNN、PaddlePaddle 和 scikit-learn 提供实验性支持。

-## Install +## 安装 -**Browser**: [**Start**](https://netron.app) the browser version. +**浏览器**：[**启动**](https://netron.app) 浏览器版本。 -**macOS**: [**Download**](https://github.com/lutzroeder/netron/releases/latest) the `.dmg` file or run `brew install --cask netron`. +**macOS**：[**下载**](https://github.com/lutzroeder/netron/releases/latest) `.dmg` 文件，或运行 `brew install --cask netron`。 -**Linux**: [**Download**](https://github.com/lutzroeder/netron/releases/latest) the `.deb` or `.rpm` file. +**Linux**：[**下载**](https://github.com/lutzroeder/netron/releases/latest) `.deb` 或 `.rpm` 文件。 -**Windows**: [**Download**](https://github.com/lutzroeder/netron/releases/latest) the `.exe` installer or run `winget install -s winget netron`. +**Windows**：[**下载**](https://github.com/lutzroeder/netron/releases/latest) `.exe` 安装程序，或运行 `winget install -s winget netron`。 -**Python**: `pip install netron`, then run `netron [FILE]` or `netron.start('[FILE]')`. +**Python**：`pip install netron`，然后运行 `netron [FILE]` 或 `netron.start('[FILE]')`。 -## Models +## 模型 -Sample model files to download or open using the browser version: +可使用浏览器版本下载或打开的示例模型文件： - * **ONNX**: [squeezenet](https://github.com/onnx/models/raw/main/validated/vision/classification/squeezenet/model/squeezenet1.0-3.onnx) [[open](https://netron.app?url=https://github.com/onnx/models/raw/main/validated/vision/classification/squeezenet/model/squeezenet1.0-3.onnx)] - * **TorchScript**: [traced_online_pred_layer](https://github.com/ApolloAuto/apollo/raw/master/modules/prediction/data/traced_online_pred_layer.pt) [[open](https://netron.app?url=https://github.com/ApolloAuto/apollo/raw/master/modules/prediction/data/traced_online_pred_layer.pt)] - * **TensorFlow Lite**: [yamnet](https://huggingface.co/thelou1s/yamnet/resolve/main/lite-model_yamnet_tflite_1.tflite) [[open](https://netron.app?url=https://huggingface.co/thelou1s/yamnet/blob/main/lite-model_yamnet_tflite_1.tflite)] - * **TensorFlow**: [chessbot](https://github.com/srom/chessbot/raw/master/model/chessbot.pb) [[open](https://netron.app?url=https://github.com/srom/chessbot/raw/master/model/chessbot.pb)] - * **Keras**: [mobilenet](https://github.com/aio-libs/aiohttp-demos/raw/master/demos/imagetagger/tests/data/mobilenet.h5) [[open](https://netron.app?url=https://github.com/aio-libs/aiohttp-demos/raw/master/demos/imagetagger/tests/data/mobilenet.h5)] + * **ONNX**：[squeezenet](https://github.com/onnx/models/raw/main/validated/vision/classification/squeezenet/model/squeezenet1.0-3.onnx) [[打开](https://netron.app?url=https://github.com/onnx/models/raw/main/validated/vision/classification/squeezenet/model/squeezenet1.0-3.onnx)] + * **TorchScript**：[traced_online_pred_layer](https://github.com/ApolloAuto/apollo/raw/master/modules/prediction/data/traced_online_pred_layer.pt) [[打开](https://netron.app?url=https://github.com/ApolloAuto/apollo/raw/master/modules/prediction/data/traced_online_pred_layer.pt)] + * **TensorFlow Lite**：[yamnet](https://huggingface.co/thelou1s/yamnet/resolve/main/lite-model_yamnet_tflite_1.tflite) [[打开](https://netron.app?url=https://huggingface.co/thelou1s/yamnet/blob/main/lite-model_yamnet_tflite_1.tflite)] + * **TensorFlow**：[chessbot](https://github.com/srom/chessbot/raw/master/model/chessbot.pb) [[打开](https://netron.app?url=https://github.com/srom/chessbot/raw/master/model/chessbot.pb)] + * **Keras**：[mobilenet](https://github.com/aio-libs/aiohttp-demos/raw/master/demos/imagetagger/tests/data/mobilenet.h5) [[打开](https://netron.app?url=https://github.com/aio-libs/aiohttp-demos/raw/master/demos/imagetagger/tests/data/mobilenet.h5)] -* **MLIR**: [edge_detection](https://github.com/iree-org/iree/raw/main/tests/e2e/stablehlo_models/edge_detection.mlir) [[open](https://netron.app?url=https://github.com/iree-org/iree/blob/main/tests/e2e/stablehlo_models/edge_detection.mlir)] +* **MLIR**：[edge_detection](https://github.com/iree-org/iree/raw/main/tests/e2e/stablehlo_models/edge_detection.mlir) [[打开](https://netron.app?url=https://github.com/iree-org/iree/blob/main/tests/e2e/stablehlo_models/edge_detection.mlir)] - * **Core ML**: [exermote](https://github.com/Lausbert/Exermote/raw/master/ExermoteInference/ExermoteCoreML/ExermoteCoreML/Model/Exermote.mlmodel) [[open](https://netron.app?url=https://github.com/Lausbert/Exermote/raw/master/ExermoteInference/ExermoteCoreML/ExermoteCoreML/Model/Exermote.mlmodel)] - * **Darknet**: [yolo](https://github.com/AlexeyAB/darknet/raw/master/cfg/yolo.cfg) [[open](https://netron.app?url=https://github.com/AlexeyAB/darknet/raw/master/cfg/yolo.cfg)] + * **Core ML**：[exermote](https://github.com/Lausbert/Exermote/raw/master/ExermoteInference/ExermoteCoreML/ExermoteCoreML/Model/Exermote.mlmodel) [[打开](https://netron.app?url=https://github.com/Lausbert/Exermote/raw/master/ExermoteInference/ExermoteCoreML/ExermoteCoreML/Model/Exermote.mlmodel)] + * **Darknet**：[yolo](https://github.com/AlexeyAB/darknet/raw/master/cfg/yolo.cfg) [[打开](https://netron.app?url=https://github.com/AlexeyAB/darknet/raw/master/cfg/yolo.cfg)]