pixel-recursive-super-resolution
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nilboy
Tensorflow implementation of pixel-recursive-super-resolution(Google Brain paper: https://arxiv.org/abs/1702.00783)
Hi @nilboy , I managed to write a code to test the models against my test data (single images or many, based on my need), but the test time per...
What should I do after training ? Please send me the test code.
How can I use the trained model to improve one image's resolution?Please.
I want to load and learn separately the low-resolution image and high-resolution image that I made by myself. Is there any method?
asdsad 
首先非常感谢你提供的源代码！ 在代码中有一段和我的理解有些出入，不知道是否我对代码的理解有偏差，请指正： 按照我的理解，左右两边的mask应该如下图所示：  但是在代码中[https://github.com/nilboy/pixel-recursive-super-resolution/blob/master/ops.py#L30](https://github.com/nilboy/pixel-recursive-super-resolution/blob/master/ops.py#L30) 对应右边的mask应该是mask A 和 B。这两种mask的区别在于是否包含中心点。可是mask经过 mask C 再判断A 和 B 的话就变成将左边和右边融合到一起了。拿 mask A 举例，它变成了下图：  请问这个应该怎么解释才通呢？ ------- 5 Aug, update ------- 另外还有一个疑惑是在 conditioning_network 里边 ([https://github.com/nilboy/pixel-recursive-super-resolution/blob/master/net.py#L56](https://github.com/nilboy/pixel-recursive-super-resolution/blob/master/net.py#L56)) 原文中是直接连接下一个ResNet...
help！
您好，感謝您提供的程式碼， 我根據您提供的程式在執行上遇到了這些問題，請問應該如何解決？ 謝謝您 Not a JPEG file: starts with 0x3d 0x3d Done training -- epoch limit reached Traceback (most recent call last): File "C:\Program Files\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 1039, in _do_call return...
As shown in the picture.(click the link below you will get it) [loss curve link](http://116.62.134.81/images/loss.PNG) Is it a bug ?
