tensorflow python图像分割

你可以使用这个IPython笔记本（https://github.com/shekkizh/FCN.tensorflow/blob/master/logs/images/Image_Cmaped.ipynb）来查看彩色图像分割的结果。这个笔记本是基于Tensorflow实现的自动人像分割算法，参考了论文《Automatic Portrait Segmentation for Image Stylization》\[2\]。这个代码最初是用Tensorflow 0.11和Python 2.7编写和测试的，但是tf.summary的调用已经更新到Tensorflow 0.12版本。如果你要使用旧版本的Tensorflow，可以切换到另一个分支tf.0.11_compatible（https://github.com/shekkizh/FCN.tensorflow/tree/tf.0.11_compatible）\[3\]。
#### 引用[.reference_title]
- *1* *3* [Tensorflow实现图像分割——FCN模型](https://blog.csdn.net/qq_37274615/article/details/78228087)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insertT0,239^v3^insert_chatgpt"}} ] [.reference_item]
- *2* [Tensorflow实现图像分割的自动人像分割](https://blog.csdn.net/weixin_36073392/article/details/114414084)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insertT0,239^v3^insert_chatgpt"}} ] [.reference_item]
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