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I'm wondering if there is any implementation in Pytorch version?
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I want to train CapsNetR3 with n_class=3 and shape=(160,160), but [`Length(num_classes=n_class, seg=True, name='out_seg')(seg_caps)`](https://github.com/lalonderodney/SegCaps/blob/master/capsnet.py#L8…
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Hello, I'm using segcapsbasic and segnetR3 as the model for stroke segmentation of brain image using [ISLES 2017](http://www.isles-challenge.org/ISLES2017/) dataset. I use 25 patient 3D MRI data that …
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Hello,
I met the following error:
```
$ ipython
Python 3.6.5 | packaged by conda-forge | (default, Apr 6 2018, 13:39:56)
Type 'copyright', 'credits' or 'license' for more information
IPython…
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Why is there only 4 parameters in deconv_length in caspsule_layer.py?
Out_height = deconv_length(self.input_height, self.scaling, self.kernel_size, self.padding)
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why the threadsafe_iter class for training and validation generator are not iterator?
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Traceback (most recent call last):
File "./main.py", line 281, in
main(arguments)
File "./main.py", line 95, in main
model_list = create_model(args=args, input_shape=net_input_shape, …
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Hello,
First, thank you for your implementation of SegCaps.
I try to train on a small dataset consisting of 100 pairs of greyscaled/ 4 levels groundtruth ("masks") images:
![pair-grey_mask](htt…
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Hello,
I'm working on a 3D dataset (MRI scans), and I'd like to try SegCaps. Do you think your implementation can be used for 3D segmentation ?
Thank you,
Clément
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**Describe the bug**
Traceback (most recent call last):
File "p.py", line 9, in
images = convert_from_path("p.pdf")
File "/home/***/.local/lib/python2.7/site-packages/pdf2image/pdf2image.…