enricobuehler
4c3b11445c
Phase 0 of design/pyrowave-codec-plan.md — the opt-in wired-LAN ultra-low- latency codec. Vendored at upstream 509e4f88 (API 0.4.0, Granite 44362775, volk + vulkan-headers pins in PUNKTFUNK-VENDOR.txt), pruned to the 6.6 MB the standalone no-renderer build needs; scripts/vendor-pyrowave.sh reproduces the tree (a pin bump is protocol-affecting, plan §4.2). build.rs drives the wrapper CMakeLists (static archives incl. a static C-API lib upstream only ships shared) + bindgen over pyrowave.h; Linux and Windows only, empty stub elsewhere (Apple gets a native Metal port, §4.7). Offline-safe by construction: no network, no system lib, vendored Vulkan headers — same model as the opus dep (flatpak builder has no network). Phase-0 validation on .21 (RTX 5070 Ti, driver 610.43.03): - upstream pyrowave-c-test + interop test (incl. dmabuf/DRM-modifier Vulkan<->Vulkan) pass, from the pristine AND the pruned tree - GPU kernel times at ~1.6 bpp noise: encode/decode 0.090/0.042 ms @800p, 0.146/0.067 @1080p, 0.226/0.103 @1440p, 0.477/0.201 @4K — order of magnitude under NVENC's 1-2 ms retrieve, CBR lands within ~100 B of target - cargo test -p pyrowave-sys green (static link + API-version pin check) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
59 lines
1.8 KiB
Python
59 lines
1.8 KiB
Python
#!/usr/bin/env python3
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import plotly.express as px
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import plotly.graph_objects as go
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import pandas as pd
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import sys
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import csv
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import os
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def main():
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codecs = ['h264_nvenc', 'hevc_nvenc', 'av1_nvenc', 'pyrowave']
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cols = ['xpsnr', 'ssim', 'ssimulacra2', 'vmaf', 'vmafneg']
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codec_name = {
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'h264_nvenc' : 'H.264 NVENC',
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'hevc_nvenc' : 'H.265 NVENC',
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'av1_nvenc' : 'AV1 NVENC',
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'pyrowave' : 'PyroWave' }
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metric_name = {
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'xpsnr' : 'W-XPSNR',
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'ssim' : 'SSIM',
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'ssimulacra2' : 'SSIMULACRA2',
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'vmaf' : 'VMAF',
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'vmafneg' : 'VMAF NEG' }
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data_sets = {}
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for codec in codecs:
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with open(os.path.join(sys.argv[1], codec + '.csv')) as f:
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reader = csv.DictReader(f)
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bpps = []
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results = dict()
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for col in cols:
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results[col] = []
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for row in reader:
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bpp = row['bpp']
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bpps.append(bpp)
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for col in cols:
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results[col].append(float(row[col]))
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data_sets[codec] = ([float(x) for x in bpps], results)
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print(data_sets)
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for col in cols:
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fig = go.Figure()
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for codec in codecs:
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codec_results = data_sets[codec]
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fig.add_trace(go.Scatter(x = codec_results[0], y = codec_results[1][col], name = codec_name[codec], showlegend = True))
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fig.update_traces(mode = 'markers+lines')
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fig.update_xaxes(title_text = 'bits per pixel')
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fig.update_yaxes(title_text = metric_name[col])
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fig.update_layout(legend = dict(title = dict(text = 'codec')))
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fig.update_layout(title = os.path.basename(sys.argv[1]))
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fig.write_image(os.path.join(sys.argv[1], col + '.png'))
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if __name__ == '__main__':
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main()
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