Python script to easily compute VMAF using FFmpeg. It allows to deinterlace, scale and sync Ref and Distorted video automatically
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Updated
Mar 14, 2025 - Python
Python script to easily compute VMAF using FFmpeg. It allows to deinterlace, scale and sync Ref and Distorted video automatically
ITU-T Rec. P.1203 Implementation
Official Code for 'Recursive Fusion and Deformable Spatiotemporal Attention for Video Compression Artifact Reduction' - ACM Multimedia2021 (ACMMM2021) Accepted Paper Task: Video Quality Enhancement / Video Compression Artifact Reduction
Analysis provider for adapting your OTT bitrate ladder
[WACV 2024] - Reference-based Restoration of Digitized Analog Videotapes
A video quality MOS prediction model for videoconferencing calls that takes temporal distortions into account
Fast Blind Natural Video Quality (V-BLIINDS)
Official implementation for "CONVIQT: Contrastive Video Quality Estimator"
ReLaX-VQA: Residual Fragment and Layer Stack Extraction for Enhancing Video Quality Assessment
Official implementation for "ST-GREED: Space-Time Generalized EntropicDifferences for Frame Rate Dependent VideoQuality"
Desktop Recorder is a Python desktop application that allows you to record your screen in various video quality formats. You can choose from different quality options, including 480p, 720p, and 1080p for your recordings By Bocaletto Luca.
Auto-VMAF-Encoder uses data-driven VMAF targeting to deliver quality and efficient encodes. It analyzes videos, logs metrics, and shows real-time progress with ETA. 🐙
DIVA-VQA: Detecting Inter-Frame Variations in UGC Video Quality
VMAF를 사용하여 비디오 품질과 파일 크기 사이의 최적점(sweet spot)을 찾는 자동 벤치마킹 GUI 애플리케이션. (소프트웨어 및 하드웨어(NVENC, QSV, AMF) 인코더 지원) / An automated benchmarking GUI application that uses VMAF to find the sweet spot between video quality and file size. (Supports software and hardware (NVENC, QSV, AMF) encoders.)
quality-energy
Transcoding and qualitative video analysis program
A fast, no-reference video quality benchmarking tool using BRISQUE and other IQA metrics. Extracts sampled frames, computes perceptual quality scores, and compares encodes objectively.
A web application for downloading YouTube videos in different qualities, featuring a React.js frontend for a smooth user experience and a Django-powered backend for efficient processing.
🎬 Modern YouTube video downloader with clean interface - Download videos in multiple qualities (360p to 4K) - Free, open-source, and easy to use - Python desktop application
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