VMAF - Video Multi-Method Assessment Fusion Versions Save

Minor maintenance release:

• libvmaf_rc general improvements
• Fix pkgconfig version sync issue (#572)

The next release will very likely be v2.0.0. This will be a breaking libvmaf API change, see #591 for more details.

New features:

• libvmaf has been relocated, and now has its own self-enclosed source tree (./libvmaf/) and build system (meson).
• Update license to BSD+Patent.
• Migrate the build system from makefile to meson.
• Introduce a new release candidate API with the associated library libvmaf_rc and executable vmaf_rc under ./libvmaf/build.
• Add SI and TI feature extractor python classes.
• Add fixed-point SSIM implementation.
• Migrate to python3.

Fixed bugs:

• Fix a case when CPU cores > 128(MAX_NUM_THREADS) / 3 (#319).
• Avoid dis-filtering ref when not needed, fix return type (#325).
• Update name of file for failed dis_path fopen (#334).
• A few compilation fixes (warnings and errors) (#326).
• Bump up g++ version to 9 for travis (#352).
• Use stat struct instead of ftell to retrieve the file size (#350).

New features:

• Write aggregate scores, exec FPS to json output.
• Add support for python3 (#332).
• Print progress in vmafossexec (#337).
• Add VMAF logo.
• Add link to report VMAF bad cases.

Fixed bugs:

• Fix VMAF value mismatch on 160x90 videos after optimization (#315).
• Fix w10 error with using uninitialized offset_flag variable (#302).

New features:

• Add automated Windows builds with AddVeyor (#313).
• Report aggregate CI scores and fix empty model name in log (#304).

New features:

• Optimized C code for speed. Running in multithreading mode, vmafossexec achieves ~40% run time reduction compared to the previous version.
• Printed out individual vmaf bootstrap scores in text file from vmafossexec.
• Refactored windows solution (#283) (#284) (#285) (#291) (#298).

Fixed bugs:

• Fixes an issue in libvmaf where user defined read_frame() callback was being ignored.

• Re-organized README. Added a reference page with a list of papers/techblogs/presentation on VMAF.
• VMAF prediction now comes with a 95% confidence interval (CI), which quantifies the uncertainty in a trained VMAF model. The CI is established through bootstrapping on the prediction residue using the training data points. To enable CI, use the option --ci in the command line tools (run_vmaf, run_vmaf_in_batch, ffmpeg2vmaf, vmafossexec) with a bootstrapping model such as model/vmaf_rb_v0.6.2/vmaf_rb_v0.6.2.pkl.
• Added 4K VMAF model under model/vmaf_4k_v0.6.1.pkl, which predicts the subjective quality of video displayed on a 4KTV and viewed from the distance of 1.5X the display height.
• Update libvmaf version to 1.3.7 after compute_vmaf() interface change (added conf_interval argument).
• Added new models: 1) model/vmaf_4k_v0.6.1.pkl for 4KTV viewing at distance 1.5H, 2) model/vmaf_rb_v0.6.2/vmaf_rb_v0.6.2.pkl for VMAF prediction with a confidence interval, 3) model/vmaf_4k_rb_v0.6.2/vmaf_4k_rb_v0.6.2.pkl for 4KTV viewing at distance 1.5H, with a confidence interval.

New features:

• Add multi-threading to vmafossexec.

Refactoring:

• Refactor mos out of vmaf repo; rename to sureal as submodule.
• Refactor TrainTestModel to make predict() to output dictionary.
• Refactor TrainTestModel.
• Rename KFLK metric to AUC (Area Under the Curve) for better interpretability.

New features:

• Add bootstrapping to VMAF. Add two new classes BootstrapVmafQualityRunner and BaggingVmafQualityRunner
• Add Resolving Power Performance Metric.
• Add BRISQUE and NIQE feature extractors. Added two new classes BrisqueNorefFeatureExtractor and NiqeNorefFeatureExtractor. Add NiqeQualityRunner.

Fixed bugs:

• Add .gitattributes (#127). Force .pkl and .model files to retain LF line-ending. Required for use on Windows where model files would otherwise be checked out as CRLF which VMAF's parser doesn't handle.
• Allow MinGW compilation of ptools (#133). ptools doesn't build on MinGW as *nix socket headers are included. This patch selects Windows headers for MinGW builds.
• Update compute vmaf interface (#138). Update VMAF version in libvmaf.pc and etc. Catch logic error (resulted from wrong model file format) in compute_vmaf(). Use custom error code.

New features:

• Update Asset class: add copy functions to Asset; add ref/dis_yuv_type; deprecate yuv_type; add ref/dis_start_sec;
• Update subjective models: add confidence interval to subjective model parameters; refactor MLE model and make subclasses; add run_subj command line.
• Recommend pip, add ffmpeg2vmaf info and reorganize prerequisite installation (#88).
• Reduce sleep time in parallel_map.
• Add library interface for VMAF (#90).
• Add VisualStudio2015 support (#92).
• Add example of image dataset notyuv.
• Add pkgconfig file and changed Makefile.
• Add VmafPhoneQualityRunner class.
• Add DMOS_MLE_CO subjective model.

Fixed bugs:

• Update RegressionMixin to handle KFLK exception for dicitonary-style dataset.
• Fix Makefile fedora libptools issue. (#98)

Refactoring:

• Refactor NorefExecutorMixin to eliminate repeated codes.
• Refactor C code: get rid of unused double functions; uniformly use read_frame callback function to void repeated code;
• Add strip option to Makefile.