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README.md

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@@ -44,7 +44,7 @@ This tutorial depends on the following libraries:
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* Tensorflow
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* Keras >= 1.0
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* libtiff
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* libtiff(optional)
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Also, this code should be compatible with Python versions 2.7-3.5.
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@@ -73,6 +73,14 @@ availabel in this [repository](https://github.com/cxcxcxcx/imgwarp-opencv).
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After this script finishes, in ```imgs_mask_test.npy``` masks for corresponding images in ```imgs_test.npy```
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should be generated. I suggest you examine these masks for getting further insight of your model's performance.
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### Results
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Use the trained model to do segmentation on test images, the result is statisfactory.
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![img/0test.png](img/0test.png)
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![img/0label.png](img/0label.png)
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## About Keras
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img/0label.png

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img/0test.png

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