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metadata
title: Simam Neural Codec Lab
emoji: 🎞️
colorFrom: gray
colorTo: indigo
sdk: gradio
sdk_version: 5.0.0
app_file: app.py
pinned: false
Simam Neural Codec Lab
An evidence-first video compression observatory for immersive media. Upload a short clip to inspect its source properties and compare practical AV1, H.264, and HEVC encodes when the host FFmpeg build supports them.
This is a measurement baseline, not a claim that a learned codec is universally better. The next research adapter is planned around open projects such as CompressAI and Microsoft's DCVC family.
What it measures
- encoded size and bitrate;
- encode time and approximate real-time factor;
- decoded resolution and duration;
- a transparent quality proxy (PSNR when available);
- compatibility notes for XR playback.
Keep clips short while exploring. Results depend on the host FFmpeg build and are not a substitute for a controlled VMAF/LPIPS benchmark.
examples/sample_codec.mp4 is a small synthetic clip for a repeatable first run.