Releases: xpdAcq/xpdtools
0.8.2
License:
By downloading and using this software you agree to the license here:
https://github.com/xpdAcq/xpdtools/blob/master/LICENSE
Download and Installation:
The package is available on Anaconda
If you are using Anaconda, make sure you are pulling from channel conda-forge
Install the package (If you are using a conda environment make sure to
activate it first):
conda install xpdtools -c conda-forge
If you do not use conda (and we recommend you do) you may download and build
the sources from the links below. Unpack the sources, then in the base
directory type
python setup.py install
Changelog:
Fixed:
-
Move the "import PCA" to the top to avoid import error.
-
Add missing required packages in requirements
0.8.1
License:
By downloading and using this software you agree to the license here:
https://github.com/xpdAcq/xpdtools/blob/master/LICENSE
Download and Installation:
The package is available on Anaconda
If you are using Anaconda, make sure you are pulling from channel conda-forge
Install the package (If you are using a conda environment make sure to
activate it first):
conda install xpdtools -c conda-forge
If you do not use conda (and we recommend you do) you may download and build
the sources from the links below. Unpack the sources, then in the base
directory type
python setup.py install
Changelog:
Changed:
- Default pipelines to filtered back projection algorithm rather than grid
reconstruction algorithm
Removed:
- no
minus_log
step for diffraction tomo
0.8.0
License:
By downloading and using this software you agree to the license here:
https://github.com/xpdAcq/xpdtools/blob/master/LICENSE
Download and Installation:
The package is available on Anaconda
If you are using Anaconda, make sure you are pulling from channel conda-forge
Install the package (If you are using a conda environment make sure to
activate it first):
conda install xpdtools -c conda-forge
If you do not use conda (and we recommend you do) you may download and build
the sources from the links below. Unpack the sources, then in the base
directory type
python setup.py install
Changelog:
Changed:
- Replace lambda function for sorting the sinogram with actual function
- radiograph pipeline
data
->norm_img
0.7.0
License:
By downloading and using this software you agree to the license here:
https://github.com/xpdAcq/xpdtools/blob/master/LICENSE
Download and Installation:
The package is available on Anaconda
If you are using Anaconda, make sure you are pulling from channel conda-forge
Install the package (If you are using a conda environment make sure to
activate it first):
conda install xpdtools -c conda-forge
If you do not use conda (and we recommend you do) you may download and build
the sources from the links below. Unpack the sources, then in the base
directory type
python setup.py install
Changelog:
Added:
amorphsivity_pipeline
for measuring if a PDF is amorphousxpdtools.pipelines.tomo.sort_sinogram
for sorting sinograms by their
theta values- Ability to stack 2D tomographic reconstructions into 3D for pencil beam
xpdtools.pipelines.tomo.recon_wrapper
function which wrapstomopy.recon
to
handle 2, 3 and 4D arrays
Changed:
xpdotools.pipelines.tomo.tomo_pipeline_theta
usessort_sinogram
rather than a lambda for provenancexpdtools.pipelines.tomo
pipelines use therecon_wrapper
rather thantomopy.recon
Fixed:
- Don't use
pluck
since we can pass in just the G(r)
0.6.0
License:
By downloading and using this software you agree to the license here:
https://github.com/xpdAcq/xpdtools/blob/master/LICENSE
Download and Installation:
The package is available on Anaconda
If you are using Anaconda, make sure you are pulling from channel conda-forge
Install the package (If you are using a conda environment make sure to
activate it first):
conda install xpdtools -c conda-forge
If you do not use conda (and we recommend you do) you may download and build
the sources from the links below. Unpack the sources, then in the base
directory type
python setup.py install
Changelog:
Added:
- Principle Component Analysis pipeline and tooling
Changed:
- Flatten pencil beam tomo output from (1, x, x) to (x, x)
Fixed:
- Automatically make the calibration directory
- Tomo pipeline now has
np.nan_to_num
before and after reconstruction
0.5.0
License:
By downloading and using this software you agree to the license here:
https://github.com/xpdAcq/xpdtools/blob/master/LICENSE
Download and Installation:
The package is available on Anaconda
If you are using Anaconda, make sure you are pulling from channel conda-forge
Install the package (If you are using a conda environment make sure to
activate it first):
conda install xpdtools -c conda-forge
If you do not use conda (and we recommend you do) you may download and build
the sources from the links below. Unpack the sources, then in the base
directory type
python setup.py install
Changelog:
Added:
- Background scale node
- Background scale kwarg to cli/process_tiff
- New example pipeline for parallel operation
- Added standard deviation nodes
- Max intensity node
- Position of max intensity node
- Tomography pipelines for full-field an ctPDF
Changed:
- Chunk pipelines so the can be used modularly and instantiated
- Move from
streamz
torapidz
- Only use
tqdm
on 'mean' method forbinned_outlier
- Standard deviation is now divided by mean so it is more meaningful
- Support imports for both
pyFAI
0.15 and beyond
Fixed:
- Orch now deffers the actual installation to the travis top level process
0.4.3
License:
By downloading and using this software you agree to the license here:
https://github.com/xpdAcq/xpdtools/blob/master/LICENSE
Download and Installation:
The package is available on Anaconda
If you are using Anaconda, make sure you are pulling from channel conda-forge
Install the package (If you are using a conda environment make sure to
activate it first):
conda install xpdtools -c conda-forge
If you do not use conda (and we recommend you do) you may download and build
the sources from the links below. Unpack the sources, then in the base
directory type
python setup.py install
Changelog:
Fixed:
- Fix bug where
is_calibration_img
was not being checked properly - no mask setting, we don't need kwargs for no mask
0.4.2
License:
By downloading and using this software you agree to the license here:
https://github.com/xpdAcq/xpdtools/blob/master/LICENSE
Download and Installation:
The package is available on Anaconda
If you are using Anaconda, make sure you are pulling from channel conda-forge
Install the package (If you are using a conda environment make sure to
activate it first):
conda install xpdtools -c conda-forge
If you do not use conda (and we recommend you do) you may download and build
the sources from the links below. Unpack the sources, then in the base
directory type
python setup.py install
Changelog:
Added:
calib_setting
dict to the raw pipeline, if
calib_setting['setting'] is False
then the calibration gui will not be
run even for calibration runs
Changed:
pyFAI
imports for calibration are now inside the functions so we don't
run the imports until they are actually needed.
0.4.1
License:
By downloading and using this software you agree to the license here:
https://github.com/xpdAcq/xpdtools/blob/master/LICENSE
Download and Installation:
The package is available on Anaconda
If you are using Anaconda, make sure you are pulling from channel conda-forge
Install the package (If you are using a conda environment make sure to
activate it first):
conda install xpdtools -c conda-forge
If you do not use conda (and we recommend you do) you may download and build
the sources from the links below. Unpack the sources, then in the base
directory type
python setup.py install
Changelog:
Changed:
- Added
pool
to `xpdtools.tools.binned_outlierand
xpdtools.tools.mask_img`` for an executor pool interface - Added
tqdm
for slow mean masking
Fixed:
binned_outlier
properly uses existing masks
0.4.0
License:
By downloading and using this software you agree to the license here:
https://github.com/xpdAcq/xpdtools/blob/master/LICENSE
Download and Installation:
The package is available on Anaconda
If you are using Anaconda, make sure you are pulling from channel conda-forge
Install the package (If you are using a conda environment make sure to
activate it first):
conda install xpdtools -c conda-forge
If you do not use conda (and we recommend you do) you may download and build
the sources from the links below. Unpack the sources, then in the base
directory type
python setup.py install
Changelog:
Added:
- Pipeline and tools for flatfield correction measurements
Changed:
- Added default mask kwargs to
mask_kwargs
for usability