andreped commited on
Commit
c1032b4
1 Parent(s): 29ee7d6

added alternative install method - from source from github repo

Browse files
Files changed (1) hide show
  1. README.md +5 -0
README.md CHANGED
@@ -12,6 +12,11 @@
12
  pip install livermask
13
  ```
14
 
 
 
 
 
 
15
  As TensorFlow 2.4 only supports Python 3.6-3.8, so does livermask. Note that livermask is **not** made to be compatible with conda. Please, use pip for installing livermask.
16
 
17
  (Optional) To add GPU inference support for liver vessel segmentation (which uses Chainer and CuPy), you need to install [CuPy](https://github.com/cupy/cupy). This can be easily done by adding `cupy-cudaX`, where `X` is the CUDA version you have installed, for instance `cupy-cuda110` for CUDA-11.0:
 
12
  pip install livermask
13
  ```
14
 
15
+ Alternatively, to install from source do:
16
+ ```
17
+ pip install git+https://github.com/andreped/livermask.git
18
+ ```
19
+
20
  As TensorFlow 2.4 only supports Python 3.6-3.8, so does livermask. Note that livermask is **not** made to be compatible with conda. Please, use pip for installing livermask.
21
 
22
  (Optional) To add GPU inference support for liver vessel segmentation (which uses Chainer and CuPy), you need to install [CuPy](https://github.com/cupy/cupy). This can be easily done by adding `cupy-cudaX`, where `X` is the CUDA version you have installed, for instance `cupy-cuda110` for CUDA-11.0: