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v1.5.1

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Merge pull request Netflix#509 from Netflix/feature/update-version-ch…

…angelog-readme

Update CHANGELOG, README, VERSION.

v1.3.15

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Feature/update doc (Netflix#361)

* Add vmaf logo; add link to survey.

* Change logo size.

* Change logo size.

* Update logo size.

* Update CHANGELOG; bump up version to 1.3.15.

v1.3.14

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Update CHANGELOG and VERSION.

v1.3.13

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Update version to 1.3.13.

v1.3.12

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Update version to 1.3.12; update CHANGELOG, README, VERSION, libvmaf.pc.

v1.3.9

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Merge pull request Netflix#207 from kylophone/fix_read_frame

always call user defined read_frame() callback

v1.3.7

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Update doc (Netflix#195)

* Update docs; add models.md.

* Update vmafossexec.md; move h5py dependency out of mixin.py.

* Make loading svmutil on-demand in quality_runner.py.

* Make loading svmutil on-demand in train_test_model.py.

* Update vmafossexec.md.

* Fix wrapper link.

* Update vmafossexec.md.

* Update libvmaf.md.

* Update VMAF_Python_library.md; move models part to models.md.

* Update VMAF_Python_library.md.

* Update VMAF_Python_library.md.

* Update VMAF_Python_library.md.

* Add references.md and conf_interval.md; re-org docs.

* Misc.

* Update FAQ.md; misc.

* Update models.md.

* Update models.md.

* Update conf_interval.md.

* Add CI plot to conf_interval.md.

* Update image size.

* Update image.

* Update conf_interval.md.

* Update references.md.

* Update references.md.

* Update references.md.

* Update references.md.

* Update references.md.

* Update references.md.

* Misc update of docs.

v1.3.7rc

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Feature/add 4k model and ci (Netflix#175)

* Add candidate model vmaf_4k_v0.6.1.

* Add candidate model vmaf_4k_v0.6.1.

* Add test for 4k v0.6.1 model.

* Rename model vmaf_v0.7.0rc.pkl to vmaf_4k_v0.6.1rc.pkl.

* Add bootstrap training parameter file vmaf_v6_residue_bootstrap.py; add default model to BootstrapVmafQualityRunner; fix BaggingVmafQualityRunner TYPE issue.

* Add bootstrap 4k model; add test; refactor run_testing.py.

* Change version convention of BootstrapVmafQualityRunner.

* Add --ci option to run_vmaf.

* Add --ci option to ffmpeg2vmaf; add tests.

* Add --ci optin to run_vmaf_in_batch; add test.

* Set up --ci option to vmafossexec arguments; to add logic in VmafRunner::run.

* Refactor vmaf.h and vmaf.cpp.

* Refactor vmaf.h/.cpp: move load model functions to LibsvmNusvrTrainTestModel.

* Refactor vmaf.h/.cpp: extract out VmafRunner::_normalize_predict_denormalize().

* Scaffold BootstrapLibsvmNusvrTrainTestModel; remove unnecessary arguments from VmafRunner::_normalize_predict_denormalize().

* Make model polymorphism work.

* Read number of models in bootstrapLibsvmNusvrTrainTestModel; update validation of model type.

* Add virtual destructor to LibsvmNusvrTrainTestModel.

* Make _loadModel static.

* Make svm_model_ptr protected; load svm models to new field bootstrap_svm_model_ptrs.

* Refactor n_subsample.

* Move vmafossexec tests into one class in quality_runner_test.

* Fix test_run_vmafossexec_runner_with_motion2 issue.

* Refactor re n_subsample.

* Refactor _normalize_predict_denormalize: remove subsampling awareness.

* Refactor: extract VmafRunner::_populate_and_normalize_nodes_at_frm method.

* Refactor: extract VmafRunner::_denormalize_prediction method.

* Refactor: extract _transform_score() and _clip_score() method.

* Misc.

* Move _denormalize_prediction from VmafRunner to LibsvmNuvrTrainTestModel.

* Move populate_and_normalize_nodes_at_frm from VmafRunner to LibsvmNusvrTrainTestModel.

* Misc.

* Remove conf_interval option from VmafRunner::run.

* Rename VmafRunner to VmafQualityRunner to make consistent with Python code; Scaffold BootstrapVmafQualityRunner.

* Misc.

* Update predict() to make return a map intead of double; fix type check bug.

* Remove numModels as class attribute in BootstrapLibsvmNusvrTrainTestModel.

* Misc.

* Change bootstrap_svm_model_ptrs from list to vector; add BootstrapLibsvmNusvrTrainTestModel::predict.

* Update _normalize_predict_denormalize_transform_clip to output predictionMaps instead of vmaf.

* Update _transform_score and _clip_score to take predictionMap.

* Refactor.

* Extract _set_prediction_result method.

* Add virtual classes for BootstrapVmafQualityRunner; having bagging scores in log now.

* Add bagging_vmaf to VmafossExecQualityRunner; bagging score mismatch.

* Add stddev to vmafossexec --ci output.

* Misc.

* Add virtual destructor.

* Add ci95_low and ci95_high field to vmafossexec --ci output; update vmafoss doc version.

* Fix _get_model_i_filename issue.

* Simplify predict function by returning map instead map reference.

* Update README.md and CHANGELOG.md.

v1.3.6rc

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Fix readme to represent latest VMAF version result. (Netflix#168)

v1.3.5

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Update README.

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