The TRAKO Project: Compression of DTI Streamlines.
Project description
TRAKO
Installation as PyPI package coming soon!
Manual installation
Please follow these steps with Miniconda or Anaconda installed:
# create environment
conda create --name TRAKO python=3.6
conda activate TRAKO
conda install numpy
conda install matplotlib
conda install -c anaconda vtk
conda install -c conda-forge scikit-build
pip install pygltflib
pip install prettytable
# get TRAKO
git clone git@github.com:haehn/TRAKO.git
cd TRAKO
# initialize DracoPy submodule
git submodule init
git submodule update
cd externals/DracoPy
# initialize Draco submodule
git submodule init
git submodule update
python setup.py install
cd ../../
Usage
./trakofy.py -i DATA/example.vtp -o /tmp/test.tko
./untrakofy.py -i /tmp/test.tko -o /tmp/restored.vtp
./compare.py -a DATA/example.vtp -b /tmp/restored.vtp
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
trako-0.2.dev9.tar.gz
(8.0 kB
view details)
Built Distribution
trako-0.2.dev9-py3.7.egg
(17.2 kB
view details)
File details
Details for the file trako-0.2.dev9.tar.gz
.
File metadata
- Download URL: trako-0.2.dev9.tar.gz
- Upload date:
- Size: 8.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.7.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | aefabe63387db11238f322b725071d2153ed6f27ee37a8107b3159e24e2ca9f8 |
|
MD5 | fec737fc1071cb1d552bd717245f0333 |
|
BLAKE2b-256 | 8d8f3b50940bfd3372ba66ea7bd409292593dc7ba92ef6cf22590498e0744b38 |
File details
Details for the file trako-0.2.dev9-py3.7.egg
.
File metadata
- Download URL: trako-0.2.dev9-py3.7.egg
- Upload date:
- Size: 17.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.7.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | be43d17e184dd1b905a8de60a09037352e2bbb8d3e08099764b760390e8ad7f1 |
|
MD5 | a410b36103c637bf8890cf4dec6da147 |
|
BLAKE2b-256 | 606ed60314879cafe8867ec970dd3502ba5c36401d2fa93aed4ba270a6083c85 |