# QuantAn
Quantitative Analyser
[Sample data](http://147.228.240.61/queetech/sample-data/biodur_sample.zip)
# Install
## Windows
* Use [installer](http://147.228.240.61/queetech/install/setup_quantan.exe)
(experimental)
or
* Install [Anaconda for python 2.7](https://www.continuum.io/downloads)
* Install QuantAn
conda install -c mjirik -c SimpleITK quantan
## Linux (Ubuntu 14.04)
* Install prerequisites
sudo apt-get install cmake libinsighttoolkit3-dev libpng12-dev libgdcm2-dev git wget
wget https://repo.continuum.io/miniconda/Miniconda-latest-Linux-x86_64.sh
source Miniconda-latest-Linux-x86_64.sh
conda install numpy scipy pip imtools io3d sed3
* Install [skelet3d package](https://github.com/mjirik/skelet3d)
git clone https://github.com/mjirik/skelet3d.git
cd skelet3d
mkdir build
cd build
cmake ..
make
sudo make install
pip install .
* Install Quantan
conda install -c mjirik -c SimpleITK quantan
## Mac OS
* Install prerequisites (brew packages, anaconda)
ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
brew install git cmake homebrew/science/insighttoolkit libpng
curl "http://repo.continuum.io/miniconda/Miniconda-latest-MacOSX-x86_64.sh" -o "Miniconda-latest.sh"
bash Miniconda-latest.sh -b
echo "export PATH=$HOMEDIR/miniconda/bin:\$PATH" >> ~/.profile
* Install [skelet3d package](https://github.com/mjirik/skelet3d)
git clone https://github.com/mjirik/skelet3d.git
cd skelet3d
mkdir build
cd build
cmake ..
make
sudo make install
cd ..
pip install .
* Install Quantan
conda install -c mjirik -c SimpleITK quantan
# Run
Run QuantAn with:
python -m quantan
![img](http://147.228.240.61/queetech/www/quantan01.png)
![img](http://147.228.240.61/queetech/www/quantan03.png)
![img](http://147.228.240.61/queetech/www/quantan08.png)
![img](http://147.228.240.61/queetech/www/quantan10.png)
# Sample data
Download sample data into `sample_data` directory
quantan --get-sample-data
# Sample outputs
* [segmentation (DICOM)](http://147.228.240.61/queetech/www/segmentation.dcm)
* [skeleton (DICOM)](http://147.228.240.61/queetech/www/skeleton.dcm)
* [labeled skeleton (DICOM)](http://147.228.240.61/queetech/www/labeled_skeleton.dcm)
没有合适的资源?快使用搜索试试~ 我知道了~
温馨提示
资源分类:Python库 所属语言:Python 资源全名:quantan-0.0.27.tar.gz 资源来源:官方 安装方法:https://lanzao.blog.csdn.net/article/details/101784059
资源推荐
资源详情
资源评论
收起资源包目录
quantan-0.0.27.tar.gz (35个子文件)
quantan-0.0.27
.travis.yml 2KB
PKG-INFO 558B
quantan.egg-info
PKG-INFO 558B
requires.txt 67B
SOURCES.txt 671B
top_level.txt 8B
dependency_links.txt 1B
pbr.json 47B
quantan
__main__.py 29B
__init__.py 370B
quantan.py 29KB
histology_analyser_gui.py 33KB
icon
icon.ico 11KB
icon512.png 23KB
icon.png 11KB
icon512.ico 23KB
icon.svg 4KB
histology_report.py 24KB
bld.bat 236B
meta.yaml 2KB
tests
vt_biodur.yaml 289KB
hist_stats_test.yaml 960B
histology_test.py 3KB
quantan.iss 4KB
LICENSE 1KB
.idea
vcs.xml 180B
requirements_conda.txt 213B
setup.cfg 196B
requirements.txt 86B
setup.py 3KB
.gitignore 702B
distr.sh 281B
README.md 2KB
requirements_pip.txt 106B
build.sh 219B
共 35 条
- 1
资源评论
挣扎的蓝藻
- 粉丝: 14w+
- 资源: 15万+
上传资源 快速赚钱
- 我的内容管理 展开
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
最新资源
资源上传下载、课程学习等过程中有任何疑问或建议,欢迎提出宝贵意见哦~我们会及时处理!
点击此处反馈
安全验证
文档复制为VIP权益,开通VIP直接复制
信息提交成功