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.