Metadata-Version: 2.1
Name: plot_model
Version: 0.15
Summary: plot model
Home-page: https://github.com/Qinbf/plot_model
Author: QinBingFeng
Author-email: 114479602@qq.com
License: UNKNOWN
Description: ## plot_model
        
        plot_model is a API for model visualization reference to [tensorflow.keras.utils.plot_model](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/keras/utils/vis_utils.py).
        
         <p align="center"><img  src="https://raw.githubusercontent.com/Qinbf/plot_model/master/img/1.png" width="50%" height="50%"></p>
         
         ------------------
         
         ## Installation
        
        Before installing plot_model, please install one of its engines: **TensorFlow**, **Keras**. 
        
        
        You may also consider installing the following :
        
        ```sh
        pip install pydot
        pip install pydot_ng
        pip install graphviz
        ```
        - Finally,download and install [graphviz](https://graphviz.gitlab.io/download/) to plot model graphs.
        
        Then, you can install plot_model itself. There are two ways to install plot_model:
        
        - **Install plot_model from PyPI (recommended):**
        
        Note: These installation steps assume that you are on a Linux or Mac environment.
        If you are on Windows, you will need to remove `sudo` to run the commands below.
        
        ```sh
        sudo pip install plot_model
        ```
        
        If you are using a virtualenv, you may want to avoid using sudo:
        
        ```sh
        pip install plot_model
        ```
        
        - **Alternatively: install plot_model from the GitHub source:**
        
        First, clone plot_model using `git`:
        
        ```sh
        git clone https://github.com/Qinbf/plot_model.git
        ```
        
         Then, `cd` to the plot_model folder and run the install command:
        ```sh
        cd plot_model
        sudo python setup.py install
        ```
        
        ------------------
        
        ## Getting started
        
        API is similar to tensorflow.keras.utils.plot_model
        
        ```python
        from plot_model import plot_model
        plot_model(model)
        ```
        
        default parameters:
        ```python
        plot_model(model, to_file='model.png', show_shapes=True, show_layer_names=False, rankdir='TB', expand_nested=False, style=0, color=True, dpi=96)
        ```
        
        **color**: whether to display color. Default True.
         
        **style**: 0 new style. 1 original style. Default 0. 
        
        ------------------
        
        ## Examples
        <h5 align="center">ResNet</h5>
        <p align="center"><img  src="https://raw.githubusercontent.com/Qinbf/plot_model/master/img/2.png" width="25%" height="25%"></p>
        
         
        <h5 align="center">Inception</h5>
        <p align="center"><img  src="https://raw.githubusercontent.com/Qinbf/plot_model/master/img/3.png" width="50%" height="50%"></p>
         
         
        <h5 align="center">ResNeXt</h5>
        <p align="center"><img  src="https://raw.githubusercontent.com/Qinbf/plot_model/master/img/4.png" width="65%" height="65%"></p>
        
        
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
