sketch-code 草图自动生成HTML

分手后的思念是犯贱 2022-10-02 10:51 278阅读 0赞

#### 1.环境搭建： ####

*  **window 10 + git**:  
    git拿来运行sketch-code中的项目命令行!!
 *  **python 3.5**:  
    python 3.5.2 下载：[https://pan.baidu.com/s/1uTQlq9ajabGpuYVaE24vQg][https_pan.baidu.com_s_1uTQlq9ajabGpuYVaE24vQg] 密码：oj8e（官网下载太慢了!!）  
    安装：[https://blog.csdn.net/qq\_29202937/article/details/79404829][https_blog.csdn.net_qq_29202937_article_details_79404829]  
    python 3.7 报错：python No matching distribution found for tensorflow 注意版本!!
 *  **wget 1.11**: 按照项目地址操作的时候需要wget  
    [https://blog.csdn.net/wsp\_1138886114/article/details/86698957][https_blog.csdn.net_wsp_1138886114_article_details_86698957] 安装和配置环境即可！！

#### 2.项目地址： ####

**sketch-code**: [https://github.com/ashnkumar/sketch-code][https_github.com_ashnkumar_sketch-code]

##### 步骤1 #####

安装了git,随意在一个盘符中，“右键”–> “Git Bash Here”–>在窗口中拉取项目：

git clone https://github.com/ashnkumar/sketch-code.git

拉取的项目如下：  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwNjcwOTQ2_size_16_color_FFFFFF_t_70]

##### 步骤2 #####

安装依赖：cmd到拉取的项目根路径下(python 3.5安装好)  
![在这里插入图片描述][20190618143627524.png]

pip install -r requirements.txt

这是requirements.txt文件中的内容，没有的话，创建一个

Keras==2.1.2
    tensorflow==1.4.0
    nltk==3.2.5
    opencv-python==3.3.0.10
    numpy==1.13.1
    h5py==2.7.1
    matplotlib==2.0.2
    Pillow==4.3.0
    tqdm==4.17.1
    scipy==1.0.0

pip下载依赖慢的话，可以配置镜像：[https://blog.csdn.net/qq\_24671941/article/details/84109697][https_blog.csdn.net_qq_24671941_article_details_84109697]

##### 步骤3 #####

cmd到下拉的项目目录：sketch-code\\scripts下---->右键“”—>“Git Bash Here”  
![在这里插入图片描述][20190618143918436.png]  
依次输入命令：

sh get_data.sh
    sh get_pretrained_model.sh

官方的那个有斜杠，复制笔者的就可以了！

python convert_single_image.py --png_path ../examples/drawn_example1.png  --output_folder ./generated_html  --model_json_file ../bin/model_json.json  --model_weights_file ../bin/weights.h5

根据路径下的图片“…/examples/drawn\_example1.png” 生成html  
到项目src目录看看最后的成果吧！！  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwNjcwOTQ2_size_16_color_FFFFFF_t_70 1]

**csdn博客**：**非windows**  
[https://blog.csdn.net/weixin\_40193776/article/details/80261048][https_blog.csdn.net_weixin_40193776_article_details_80261048]

[https_pan.baidu.com_s_1uTQlq9ajabGpuYVaE24vQg]: https://pan.baidu.com/s/1uTQlq9ajabGpuYVaE24vQg
[https_blog.csdn.net_qq_29202937_article_details_79404829]: https://blog.csdn.net/qq_29202937/article/details/79404829
[https_blog.csdn.net_wsp_1138886114_article_details_86698957]: https://blog.csdn.net/wsp_1138886114/article/details/86698957
[https_github.com_ashnkumar_sketch-code]: https://github.com/ashnkumar/sketch-code
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwNjcwOTQ2_size_16_color_FFFFFF_t_70]: /images/20220112/279f57dfba2d436589cd012f8386eccb.png
[20190618143627524.png]: /images/20220112/58124937849f4998853537f7e77c7def.png
[https_blog.csdn.net_qq_24671941_article_details_84109697]: https://blog.csdn.net/qq_24671941/article/details/84109697
[20190618143918436.png]: /images/20220112/a662662c346544be811f27537d9e0501.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwNjcwOTQ2_size_16_color_FFFFFF_t_70 1]: /images/20220112/d6b0594a6c1d4b00873c7452d02955b7.png
[https_blog.csdn.net_weixin_40193776_article_details_80261048]: https://blog.csdn.net/weixin_40193776/article/details/80261048