- model.params holds the legacy params (2D representation),
- model.new_params holds the true ND line representation.
The proposed LineModel behaves identically as the implementation in master in the 2D case. In the 3D case, it behaves similarly to the previously proposed LineModel3D, as long as new_params is used instead of params. This implementation thus takes advantage that the 2D case is a special case of the ND general model.
Add a helper function to check for low contrast
Add a check for low contrast when using imsave
Use the low contrast helper in imshow and make sure warnings are always shown
Clean up parameter names and add doctests
Remove unnecessary warning context
Remove unnecessary warning context
Add dtype ranges for 64bit types
Update tests with new warnings
Fix doctest logic
Fix doctest logic
Add a low contrast test with multiple dtypes
Fix check for color images
Fix color check again
Add support for int32 types
Relax assertion for 32bit builds
Add a low contrast test with multiple dtypes
Add a low contrast test with multiple dtypes
Fix check for color images
Fix color check again
Add support for int32 types
Previously, estimators did not return whether the model estimation
was successful. RANSAC now tests whether the estimation was
successful and skips invalid models.
When the confidence/stop_probability of RANSAC was set to 1,
the iteration was falsely terminated early instead of running for
the maximum number of iterations.
Implement Appveyor builds
initial test
Updated appveyor.yml
New nosetest call
With conda update conda
with pillow
without pillow
TST: Change case sensitivive JPG extension
Revert "TST: Change case sensitivive JPG extension"
This reverts commit 2deed7cc63736f7c6f0387bd37df4c6643c32847.
Trying with Python 2.7
Trying with version env
Trying again with variables
Testing on all Python versions
don't allow failures
Allow failure
Do not actually use tests
Ignore failing tests
Removed Python 2.6 test
Testing only Python 2.6
Testing out more sklearn like AppVeyor CI
Added install to pip
Add artifacts
Enabled all permutations
Disable 2.6, add PIL
Python 2.6, 2.7 only with PIL
Testing with variable dependencies
Allow failure with IF ELSE
With Python 3.4
Scikit-learn like appveyor CI
Fixing paths
Undo path fix
path fix single line
path fix single line 2
Using Miniconda
More path fixes
New wheelhouse link
Added pillow to requirements.txt
Added networkx to requirements.txt
Add testing of 32/64-bit Python 2.7 and 3.4 to matrix
Debugging Cython compile
Retry with all 4 builds
Updated install.ps1 file
Updated based on latest python-appveyor-demo
Debugging pip install
Specify numpy 1.8.1 until whl is uploaded to rackspace
Use skimage-wide requirements.txt file
Minor comment change to trigger build
Install wheel and then install from WHEELHOUSE
Install six from pip
Install networkx from pip
Install pyparsing from pip
Install pytz from pip
Try using just find-links
Install the binary dependencies first, then the rest
Add pillow to the install list
Fix appveyor.yml syntax
Fix requirements.txt syntax
Fix requirements.txt syntax again
Fix appveyor call to initial install
Fix appveyor call to initial install again
Fix appveyor call to initial install yet again
Install wheel
Install wheel first
Install wheel and nose in the appveyor requirements.txt
Fix Python3 version to match python ftp site
Only use cleanup decorator if available
Add debug info to multiimage test
More debugging information
Fix handling of path separators on Windows
Add another warning guard
Fix warning handling for non-windows
Do not use TkAgg as it may be causing alloc error
Clean up echo command
Allow for unclosed file warning
Fix spacing in echo command
Fix handling of multiple warnings
Update all test __init__ files
Update segmentation pkg
Update the color pkg
Update the exposure pkg
Update the filters pkg
Update the io pkg
Update the measure pkg
Update morphology package
Restructure test setup function
Add expected_warnings to __all__
Update restoration pkg.
Remove explicit filter check since it is done elsewhere
Fix the image test helpers
Update the transform pkg
Fix util pkg
Update viewer pkg
Punt on the issue of warnings with the minimum build
Handle warnings in measure pkg
Fix the rank filter test by forcing a random seed in the function
Compare as boolean in imread test
Import loadmat in test_setup to avoid warning
Use a setup method for imread plugin test
Revoke unintended changes
Fix indentation to appease jni
More indentation fixes
Fix unintentional comment out
Add a function to set up a skimage test
Switch to new test helper function
Import local packages that raise warnings in test setup function
More fixes to doctests
Fix regionprops doc test
Try and fix the test_rank failure.
Remove no longer needed RectangleSelector shim
Skip more doctests in _regionprops
Try importing another scipy subpackage
Use the pil plugin to load data files
Fix install_requires string formatting
Dead end commit
Make all tools executable
Remove debug print
Suppress PIL resourcewarnings
Handle a few more warnings
emmanuelle