Activity for Training Image Operators from Samples
-
Igor Montagner committed [a33497]
Add accuracy and negative predictive value to binary_evaluation
-
Add accuracy and negative predictive value to binary_evaluation
-
Add procs argument to trios.shortcuts.evaluation.binary_evaluation.
-
Image saving removed from lbp feature extractor
-
LBP feature extractor added
-
Merge branch 'master' of https://git.code.sf.net/p/trioslib/code
-
Binary evaluation measures added
-
LBP extractor uses only the information inside the window
-
LBP optimized
-
Remove useless imports.
-
lbp feature extractor added on the setup
-
Fix path for imports in LBP.
-
Merge branch 'master' into augusto2
-
Merge branch 'master' of https://git.code.sf.net/p/trioslib/code
-
fix path in setup.py
-
fix wrong imports
-
Small fixes: add default mask to apply, correct a None check in Imageset.
-
fix wrong import
-
Add tool to convert saved operators to new module organization in 2.1
-
bump version to 2.1
-
Change from SKClassifier to sk_classifier in __init__.py
-
Rename file to be consistent with pep8
-
Big refactor. WOperator is not compiled with Cython anymore. FeatureExtractor belongs to its own package in trios.feature_extractor.base_extractor. Removed circular import X from Y.
-
Move Classifier from WOperator to a file in trios.classifiers namespace.
-
Remove old unused files.
-
LICENSE and AUTHORS files.
-
Training Image Operators from Samples released /README.md
-
README with simple message about TRIOS and docs.
-
README with simple message about TRIOS and docs.
-
Fix in Feature Extraction when ordered=True
-
Preparing to remove extract_image.
-
Old files that do not work.
-
Update on setup.py
-
Removed commented old code.
-
Change Nystrom to a Numba based version.
-
Merge branch 'nilc' into trios2.0
-
Missing __init__.py
-
NystromFeatures based on Numba. As fast as Cyth...
-
Correct valstate.operators in nilc_precomputed
-
Fix mising range in nilc_precomputed.
-
Add precomputed version of NILC.
-
Dramatic improvements in CombinationPattern.ext...
-
Merge branch 'trios2.0' into nilc
-
Fix counting in ProgressInfo.num_operators.
-
Add missing info in nilc.ProgressInfo.
-
Merge branch 'trios2.0' into nilc
-
Merge branch 'trios2.0' of https://git.code.sf....
-
Use 1/n in the cost function. Correct max_age c...
-
Add progress information for nilc and refactor ...
-
NILC returns a valid W-operator.
-
Merge branch 'trios2.0' into nilc
-
Merge branch 'trios2.0' into nilc
-
SKClassifier can customize minimize, ordered an...
-
Use extract_dataset_batch in NystromFeatures.
-
quick fix for CombinationPattern
-
Merge branch 'trios2.0' of https://git.code.sf....
-
Add implementation for partial_train in SKClass...
-
Extract image now passing the correct matrix size
-
Merge branch 'trios2.0' into nilc
-
Correct error with apply and big masks. Add opt...
-
Add __len__ to Imageset
-
Use best active set at the end of NILC
-
correct error
-
Intermediate version of nilc.
-
Modifications so that Imageset behaves as a list.
-
Merge branch 'trios2.0' into nilc
-
Unit tests for Imageset.
-
debug prints
-
1st version of NILC working OK. Still missing t...
-
Merge branch 'trios2.0' into nilc
-
partial version of nilc working
-
small fixes in imageset.py
-
IGor committed [f31d65]
Add method to count samples in a training set.
-
Add first files for NILC.
-
Fixes in setup.py and NystromFeatures
-
Initial implementatin for Kernel approximations
-
Merge branch 'trios1.0' of git://git.code.sf.ne...
-
More work in Nystrom Features
-
New sampling procedure for extract_dataset_batch.
-
Andre Lopes committed [43d655]
Revert "Merge remote-tracking branch 'remotes/o...
-
Merge remote-tracking branch 'remotes/origin/tr...
-
Updated Lasagne_test.py
-
Added model analyzer to LasagneClassifier.
-
Another attempt at training with batches.
-
Use load_imageset in wop_matrix_ops.
-
Ensure that all parameters are passed to the pa...
-
Expose load_mask_image shortcut.
-
Adding batch extraction capabilities to Feature...
-
many fixes: random order for extract_ordered. U...
-
Implemented early_stopping on LasagneClassifier.py
-
Implemented xgboost algorithm.
-
Fixed keras implementation. Created lasagne imp...
-
Merge branch 'trios2.0' of ssh://git.code.sf.ne...
-
Code examples in the documentation.
-
Documentation improvements.
-
Aperture example
-
Small fixes.
-
minor changes in two_level_test.py
-
Faster test running using procs in eval.
-
Merge branch 'trios2.0' of https://git.code.sf....
1 >