提交 6b8cd1f2 编写于 作者: W wuzewu 提交者: Cheerego

update VisualDL README to add more details (#694)

上级 bed22608
......@@ -48,12 +48,19 @@ VisualDL 目前支持以下组件:
可用于播放输入或生成的音频样本
### Graph
兼容 ONNX(Open Neural Network Exchange)[https://github.com/onnx/onnx], 通过与 python SDK的结合,VisualDL可以兼容包括 PaddlePaddle, pytorch, mxnet在内的大部分主流DNN平台。
VisualDL的graph支持paddle program的展示,同时兼容 ONNX(Open Neural Network Exchange)[https://github.com/onnx/onnx],通过与 python SDK的结合,VisualDL可以兼容包括 PaddlePaddle, pytorch, mxnet在内的大部分主流DNN平台。
<p align="center">
<img src="https://raw.githubusercontent.com/daming-lu/large_files/master/graph_demo.gif" width="60%" />
<img src="https://raw.githubusercontent.com/PaddlePaddle/VisualDL/develop/docs/images/graph_demo.gif" width="60%" />
</p>
要进行paddle模型的展示,需要进行以下两步操作:
1. 在paddle代码中,调用`fluid.io.save_inference_model()`接口保存模型
2. 在命令行界面,使用`visualdl --model_pb [paddle_model_dir]` 加载paddle模型
### High Dimensional
用高维度数据映射在2D/3D来可视化嵌入
......@@ -235,3 +242,8 @@ board 还支持一下参数来实现远程的访问:
VisualDL 是由 [PaddlePaddle](http://www.paddlepaddle.org/) 和
[ECharts](http://echarts.baidu.com/) 合作推出的开源项目。我们欢迎所有人使用,提意见以及贡献代码。
## 更多细节
想了解更多关于VisualDL的使用介绍,请查看[文档](https://github.com/PaddlePaddle/VisualDL/tree/develop/demo)
......@@ -52,14 +52,21 @@ Image can be used to visualize any tensor or intermediate generated image.
Audio can be used to play input audio samples or generated audio samples.
### Graph
Graph is compatible with ONNX ([Open Neural Network Exchange](https://github.com/onnx/onnx)),
VisualDL graph supports displaying paddle model, furthermore is compatible with ONNX ([Open Neural Network Exchange](https://github.com/onnx/onnx)),
Cooperated with Python SDK, VisualDL can be compatible with most major DNN frameworks, including
PaddlePaddle, PyTorch and MXNet.
<p align="center">
<img src="https://raw.githubusercontent.com/daming-lu/large_files/master/graph_demo.gif" width="60%" />
<img src="https://raw.githubusercontent.com/PaddlePaddle/VisualDL/develop/docs/images/graph_demo.gif" width="60%" />
</p>
To display the paddle model, all you have to do is:
1. call the `fluid.io.save_inference_model()`interface to save paddle model
2. use `visualdl --model_pb [paddle_model_dir]` to load paddle model in command line
### High Dimensional
High Dimensional can be used to visualize data embeddings by projecting high-dimensional data into 2D / 3D.
......@@ -251,3 +258,8 @@ visualDL also supports following optional parameters:
VisualDL is initially created by [PaddlePaddle](http://www.paddlepaddle.org/) and
[ECharts](http://echarts.baidu.com/).
We welcome everyone to use, comment and contribute to Visual DL :)
## More details
For more details about how to use VisualDL, please take a look at [documents](https://github.com/PaddlePaddle/VisualDL/tree/develop/demo)
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