Release 0.12.2 #901
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Release 0.12.2 #901
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…labs#818) * added object detection metrics * adding xView and APRICOT docs * update dataset doc * fix typo
…r launch (twosixlabs#828) * don't throw spurious errors on container shutdown after armory exec or launch * only log a clean container exit when the exit is known clean
* added object detection metrics * update faq with canonical preprocessing * minor grammar nitpicks
…asets (twosixlabs#829) * canonical adversarial datasets * canonical datasets * canonical datasets * canonical datasets * canonical datasets * refactored ucf, xview, and apricot * black formatting Co-authored-by: lucas.cadalzo <lucas.cadalzo@twosixlabs.com>
…wosixlabs#826) * Updating datasets docs * Updating adversarial dataset docs * Updating metrics docs * Fix formatting * Fix formatting * Update licensing * Update scenarios doc * Fix formatting * Revert "Fix formatting" This reverts commit cac7eb9. * Update baseline model docs * Remove precision/recall metrics from doc * Update datasets.md * Updating dataset docs * Updating dataset docs * Fix MNIST dtype
* updated ASR scenario documentation * update ASR documentation * updated multimodal scenario documentation * updated xview scenario documentation * updated APRICOT scenario documentation * updated APRICOT scenario documentation * updated poison scenario documentation * updated UCF101 scenario documentation * updated UCF101 scenario documentation
* chmod * ensure dtype output
* update * updated to max of test and dev datasets
* fast untarring when possible * standard output
* accept standard input * example * exception -> error * reject configs on raw stdin Co-authored-by: Adam Jacobson <adam.jacobson@twosixlabs.com>
* added object detection metrics * remove hardcoded device_type of cpu
* added object detection metrics * warning is now thrown if the following holds for exactly one of the two boxes: all nonzero coordinates from a box are < 1
* remove int check to enable str inputs * label updates
* added object detection metrics * checkpoint progress with apricot_patch_targeted_AP_per_class metric; still need to decide how to handle duplicate predictions of targeted class * ignore duplicate true positives for a single patch box; updated comments and changed variable names * adding apricot patch metadata used in apricot_patch_targeted_AP_per_class metric * minor edits to variable name and comments * update apricot test to incorporate new metric * make APRICOT_PATCHES a dict with id's for keys
* added object detection metrics * added --skip-attack flag * allow for passing --skip-benign and --skip-attack
* update split naming * update dataset loading * updated docs * updated token tests * working tests for slicing * allow ordering and duplicates
* Initial sanity checking * Initial sanity checking * New sanity checks. Ensuring baseline scenario compliance * Moving to pytest framework * Integrated into armory run command with validate-config flag * Move test_config folder * Explict check for classifier model * Add specific ground truth box set * Black formatting * Updating docs * Fix typo
* added object detection metrics * pin to ART 1.4.2 and move to end of docker container installs * move ART installation to framework Dockerfiles * add ART install to dev Dockerfiles
* updated preprocessing * revert
* updated baseline results for xview * formatting * fix typos Co-authored-by: lucas.cadalzo <lucas.cadalzo@twosixlabs.com>
* Split adversarial metrics relative to ground truth and targeted labels * Flake8 * Updating metrics doc
* added pgd_patch art_experimental attack * ran format_json * set use_gpu false * removing accidentally added files Co-authored-by: lucas.cadalzo <lucas.cadalzo@twosixlabs.com>
* Add type annotations to baseline models * Add docstrings to baseline models * Update type annotations * Update type annotation
* Add canonical preprocessing for GTSRB * Update canonical preprocessing for GTSRB * Update GTSRB canonical preprocessing * Update documentation * Update scenario documentation
* updated docker builds * update docker file * update
* added object detection metrics * update l0 norm to divide by number of elements in array; update xView scenarios to use l0 norm * update test_metrics.py
* added object detection metrics * adding docs for --skip flags
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Update to release 0.12.2