Crate libvmaf_sys

This crate is a simple bindgen wrapper library around Netflix’s libvmaf
You’re probably looking for libvmaf-rs

Structs

VmafConfiguration

VmafContext

VmafFeatureDictionary

VmafModel

VmafModelCollection

VmafModelCollectionScore

VmafModelCollectionScore__bindgen_ty_1

VmafModelCollectionScore__bindgen_ty_1__bindgen_ty_1

VmafModelCollectionScore__bindgen_ty_1__bindgen_ty_1__bindgen_ty_1

VmafModelConfig

VmafPicture

VmafRef

Enums

VmafLogLevel

VmafModelCollectionScoreType

VmafModelFlags

VmafOutputFormat

VmafPixelFormat

VmafPoolingMethod

Functions

vmaf_close^⚠

Close a VMAF instance and free all associated memory.

vmaf_feature_dictionary_free^⚠

vmaf_feature_dictionary_set^⚠

vmaf_feature_score_at_index^⚠

Fetch feature score at specific index.

vmaf_feature_score_pooled^⚠

Pooled feature score for a specific interval.

vmaf_import_feature_score^⚠

Import an external feature score. Useful when pre-computed feature scores are available. Also useful in the case where there is no libvmaf feature extractor implementation for a required feature.

vmaf_init^⚠

Allocate and open a VMAF instance.

vmaf_model_collection_destroy^⚠

vmaf_model_collection_feature_overload^⚠

vmaf_model_collection_load^⚠

vmaf_model_collection_load_from_path^⚠

vmaf_model_destroy^⚠

vmaf_model_feature_overload^⚠

vmaf_model_load^⚠

vmaf_model_load_from_path^⚠

vmaf_picture_alloc^⚠

vmaf_picture_unref^⚠

vmaf_read_pictures^⚠

Read a pair of pictures and queue them for eventual feature extraction. This should be called after feature extractors are registered via vmaf_use_features_from_model() and/or vmaf_use_feature(). VmafContext will take ownership of both VmafPictures (ref and dist) and vmaf_picture_unref().

vmaf_score_at_index^⚠

Predict VMAF score at specific index.

vmaf_score_at_index_model_collection^⚠

Predict VMAF score at specific index, using a model collection.

vmaf_score_pooled^⚠

Pooled VMAF score for a specific interval.

vmaf_score_pooled_model_collection^⚠

Pooled VMAF score for a specific interval, using a model collection.

vmaf_use_feature^⚠

Register specific feature extractor. Useful when a specific/additional feature is required, usually one which is not already provided by a model via vmaf_use_features_from_model(). This may be called multiple times. VmafContext will take ownership of the VmafFeatureDictionary (opts_dict). Use vmaf_feature_dictionary_free() only in the case of failure.

vmaf_use_features_from_model^⚠

Register feature extractors required by a specific VmafModel. This may be called multiple times using different models. In this case, the registered feature extractors will form a set, and any features required by multiple models will only be extracted once.

vmaf_use_features_from_model_collection^⚠

Register feature extractors required by a specific VmafModelCollection Like vmaf_use_features_from_model(), this function may be called multiple times using different model collections.

vmaf_version^⚠

Get libvmaf version.

vmaf_write_output^⚠

Write VMAF stats to an output file.