三维重建项目-使用Pyhton实现的断层扫描三维重建算法-优质项目实战.zip

# TomoPy Benchmarking with PyCTest ## Overview - Using PyCTest, the process of building and testing TomoPy is captured and submitted to [CDash @ NERSC](https://cdash.nersc.gov) - Results can be found at the [TomoPy Testing Dashboard](https://cdash.nersc.gov/index.php?project=TomoPy) - All build warnings and errors are parsed and reported by CDash - In addition to running `nosetests`, several other tests are generated and executed - CDash captures the command executed and all of the output - Detailed timing and memory reports on TomoPy are integrated into these tests and submitted to CDash in both plotted and ASCII forms - Timing and memory plots analysis is done through [TiMemory](https://github.com/jrmadsen/TiMemory) - Additionally, the results of the TomoPy tests (i.e. image reconstructions) are also uploaded tp CDash ## Installation - Anaconda ```shell $ conda install -c jrmadsen -n <env> pyctest timemory ``` - PyPi ```shell $ pip install -v pyctest timemory ``` ## Execution - Submission is invoke by running `./pyctest_tomopy.py` from the main directory - Run `./pyctest_tomopy.py --help` to view the list of available configuration options - Supplementary files - `./benchmarking/pyctest_tomopy_rec.py` is a TomoPy reconstruction script for TomoBank data - When the option `--globus-path` is specified, PyCTest will reconstruct `tomo_00001/tomo_00001.h5` with all the specified algorithms - `./benchmarking/pyctest_tomopy_phantom.py` is a TomoPy reconstruction script for built-in phantoms - The default assumption is that the current Python environment has all of the required packages for TomoPy ### Example ```shell $ export PYTHON_VERSION=3.6 $ export CONDA_ENV="tomopy-pyctest" $ conda install -n ${CONDA_ENV} -c conda-forge -c jrmadsen python=${PYTHON_VERSION} nose numpy h5py scipy scikit-image pywavelets mkl-devel mkl_fft python-coveralls dxchange numexpr coverage timemory pyctest $ source activate ${CONDA_ENV} $ ./pyctest_tomopy.py --globus-path=${HOME}/devel/globus --num-iter=10 --pyctest-site="Cori-Haswell" --pyctest-token-file="${HOME}/.tokens/nersc-cdash" ```