silencemao / detect-cell-edge-use-unet Goto Github PK

merge之前，是把label作为通道2，原图作为通道0
splitmerge的时候 是把通道0作为label，把通道2作为图像
我观察了生成的图片，这样做确实是正确的，但是为什么通道会变换了呢？

另外，我看了一下，尽管原图是黑白的，它的RGB通道都是有数值的，为什么可以让label取代了它本来的一个通道？

When i run this code to test, i found a problem that ModuleNotFoundError: No module named 'libtiff'. I visited the website of stackoverflow and googled it, but I couldn’t solve it in the end.

为什么生成的每个子文件为空呢？

您好：
在看了您的代码后觉得很有帮助，但是readme写的不是很清楚。
目前不知道执行顺序。
2 data augmentation the data and label should be the same change
对于步骤2，先执行data.py，然后执行augdata.py？
目前出错，错误日志如下：
loading data

load train images...

load test images...

loading data done
/Users/ericliu/cv/detect-cell-edge-use-unet/data.py:231: RuntimeWarning: Mean of empty slice.
mean = imgs_test.mean(axis=0)
/Users/ericliu/anaconda/lib/python2.7/site-packages/numpy/core/_methods.py:73: RuntimeWarning: invalid value encountered in true_divide
ret, rcount, out=ret, casting='unsafe', subok=False)
Traceback (most recent call last):
File "/Users/ericliu/cv/detect-cell-edge-use-unet/unet_test.py", line 169, in
myunet.train()
File "/Users/ericliu/cv/detect-cell-edge-use-unet/unet_test.py", line 153, in train
model = self.get_unet()
File "/Users/ericliu/cv/detect-cell-edge-use-unet/unet_test.py", line 87, in get_unet
print("conv1 shape:", conv1.shape)
AttributeError: 'Tensor' object has no attribute 'shape'

Process finished with exit code 1

I am wondering if you can provide links for train-volume.tif, test-volume.tif and train-volume.tif