Feature Extraction - Refactor command-line script into a Python module

.gitignore

@@ -94,4 +94,7 @@ dmypy.json
 # misc
 *.mp4
 sweep*/
-core*
+core*
+
+features_outputs
+*.pth

README.md

@@ -15,7 +15,7 @@ This repository contains research code for the paper [*Towards Privacy-Aware Sig
 
 
 
-SSVP-SLT relies on masked autoencoding (MAE) on anonymized videos as a form of self-supervised pretraining to learn continuous sign language representations at scale. The learned representations are transferred to the supervised gloss-free sign language translation task. SSVP-SLT outperforms prior SOTA methods on the ASL-to-English How2Sign benchmark in the finetuned and zero-shot settings by over 3 BLEU points. 
+SSVP-SLT relies on masked autoencoding (MAE) on anonymized and unannotated videos as a form of self-supervised pretraining to learn continuous sign language representations at scale. The learned representations are transferred to the supervised gloss-free sign language translation task. SSVP-SLT outperforms prior SOTA methods on the ASL-to-English How2Sign benchmark in the finetuned and zero-shot settings by over 3 BLEU points. 
 
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