diff --git a/README.md b/README.md index 77f40db..f8b7836 100644 --- a/README.md +++ b/README.md @@ -26,7 +26,7 @@ Example with default parameters: With your own parameters: av1an -i input -enc aom -v "--cpu-used=3 --end-usage=q --cq-level=30 --threads=8" -w 10 - --split_method aom_keyframes --vmaf_target 95 --vmaf_path "vmaf_v0.6.1.pkl" -min_q 20 -max_q 60 + --split_method aom_keyframes --target_quality 95 --vmaf_path "vmaf_v0.6.1.pkl" -min_q 20 -max_q 60 -ff "-vf scale=-1:1080" -a "-c:a libopus -ac 2 -b:a 192k" -s scenes.csv -log my_log -o output

Usage

@@ -77,7 +77,8 @@ With your own parameters: Example: -a '-c:a libopus -b:a 64k' -ff --ffmpeg FFmpeg options video options. Applied to each encoding segment individually. - (Warning: Cropping doesn't work with Target VMAF mode) + (Warning: Cropping doesn't work with Target VMAF mode without + specifying it in --vmaf_filter) Example: --ff " -vf scale=320:240 " @@ -167,7 +168,7 @@ With your own parameters: * [PySceneDetect](https://pyscenedetect.readthedocs.io/en/latest/) used for spliting video by scenes and running multiple encoders. * Fastest way to encode AV1 without losing quality, as fast as many CPU cores you have :). -* Target VMAF mode. Targeting end result visual quality. +* Target Quality mode. Targeting end result visual quality. * Resuming encoding without loss of encoded progress. * Simple and clean console look. * Automatic detection of the number of workers the host can handle.