File size: 5,256 Bytes
d18b291 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 | #!/usr/bin/env bash
set -Eeuo pipefail
ROOT=/opt/h3
MODELS="$ROOT/models"
QUALITY="$ROOT/quality"
LOGS="$ROOT/logs/quality"
SD_CLI="$ROOT/src/stable-diffusion.cpp/build/bin/sd-cli"
FFMPEG="$ROOT/bin/ffmpeg"
PYTHON=/opt/conda/bin/python
LLM="$MODELS/qwen3vl_32b_minimax_h3-Q2_K_M.gguf"
VIDEO_VAE="$MODELS/vae/minimax_h3_video_vae_fp16.safetensors"
AUDIO_VAE="$MODELS/vae/minimax_h3_audio_vae_fp32.safetensors"
DEFAULT_PROMPT='A red fox trots through crunchy snow; audible footsteps, soft wind, natural synchronized stereo sound.'
model="${1:?model path required}"
label="${2:?label required}"
profile="${3:-quick}"
prompt="${4:-$DEFAULT_PROMPT}"
seed="${5:-11}"
[[ -s "$model" ]] || { echo "model missing or empty: $model" >&2; exit 1; }
[[ "$seed" =~ ^[0-9]+$ ]] || { echo "seed must be a non-negative integer" >&2; exit 2; }
case "$profile" in
quick)
width=320; height=192; frames=22; steps=4
;;
full)
width=640; height=384; frames=39; steps=8
;;
site)
width=640; height=384; frames=39; steps=4
;;
*)
echo "profile must be quick, site, or full" >&2
exit 2
;;
esac
outdir="$QUALITY/eval/$label-$profile"
raw="$outdir/$label-$profile.raw.webm"
mp4="$outdir/$label-$profile.mp4"
log="$LOGS/eval-$label-$profile.log"
frames_dir="$outdir/frames"
mkdir -p "$outdir" "$frames_dir" "$LOGS"
rm -f "$frames_dir"/*.png "$outdir/audio.f32"
"$PYTHON" - "$outdir/run.json" "$model" "$label" "$profile" "$prompt" "$seed" "$width" "$height" "$frames" "$steps" <<'PY'
import json
import pathlib
import sys
keys = ("model", "label", "profile", "prompt", "seed", "width", "height", "frames", "steps")
values = sys.argv[2:]
record = dict(zip(keys, values))
for key in ("seed", "width", "height", "frames", "steps"):
record[key] = int(record[key])
pathlib.Path(sys.argv[1]).write_text(json.dumps(record, indent=2, sort_keys=True) + "\n")
PY
"$SD_CLI" \
--mode vid_gen \
--diffusion-model "$model" \
--llm "$LLM" \
--vae "$VIDEO_VAE" \
--audio-vae "$AUDIO_VAE" \
--prompt "$prompt" \
--width "$width" --height "$height" --video-frames "$frames" --fps 24 \
--steps "$steps" --cfg-scale 1.0 --backend te=cpu --diffusion-fa \
--rng cpu --seed "$seed" --output "$raw" --verbose >"$log" 2>&1
"$FFMPEG" -hide_banner -loglevel error -y -i "$raw" \
-map 0:v:0 -map 0:a:0 -c:v libx264 -preset veryfast -crf 20 -pix_fmt yuv420p \
-c:a aac -b:a 160k -ar 32000 -movflags +faststart "$mp4"
ffprobe -v error -show_entries stream=index,codec_type,codec_name,channels,sample_rate,width,height,r_frame_rate \
-of json "$mp4" >"$outdir/ffprobe.json"
"$FFMPEG" -hide_banner -loglevel error -y -i "$mp4" "$frames_dir/%03d.png"
"$FFMPEG" -hide_banner -loglevel error -y -i "$mp4" -map 0:a:0 -f f32le -acodec pcm_f32le "$outdir/audio.f32"
"$PYTHON" - "$frames_dir" "$outdir/audio.f32" "$outdir/metrics.json" <<'PY'
import json
import math
import pathlib
import sys
import numpy as np
from PIL import Image
frames_dir = pathlib.Path(sys.argv[1])
audio_path = pathlib.Path(sys.argv[2])
output_path = pathlib.Path(sys.argv[3])
frame_paths = sorted(frames_dir.glob("*.png"))
if not frame_paths:
raise SystemExit("no decoded frames")
spatial_sd = []
laplacian = []
phase_grid = []
frame_arrays = []
for path in frame_paths:
frame = np.asarray(Image.open(path).convert("L"), dtype=np.float32)
frame_arrays.append(frame)
sd = float(frame.std())
lap = np.abs(
-4 * frame[1:-1, 1:-1]
+ frame[:-2, 1:-1]
+ frame[2:, 1:-1]
+ frame[1:-1, :-2]
+ frame[1:-1, 2:]
)
phases = np.array(
[[frame[y::16, x::16].mean() for x in range(16)] for y in range(16)],
dtype=np.float32,
)
spatial_sd.append(sd)
laplacian.append(float(lap.mean()))
phase_grid.append(float(phases.std() / max(sd, 1e-8)))
temporal_mad = [
float(np.abs(frame_arrays[i] - frame_arrays[i - 1]).mean())
for i in range(1, len(frame_arrays))
]
audio = np.fromfile(audio_path, dtype=np.float32)
if audio.size == 0 or audio.size % 2:
raise SystemExit("invalid stereo float audio")
stereo = audio.reshape(-1, 2)
peak = float(np.abs(stereo).max())
rms = float(np.sqrt(np.mean(stereo * stereo)))
corr = float(np.corrcoef(stereo[:, 0], stereo[:, 1])[0, 1])
metrics = {
"frames": len(frame_paths),
"mean_spatial_luma_sd": float(np.mean(spatial_sd)),
"mean_abs_laplacian": float(np.mean(laplacian)),
"mean_phase_grid_16": float(np.mean(phase_grid)),
"mean_adjacent_frame_mad": float(np.mean(temporal_mad)),
"audio_peak": peak,
"audio_peak_dbfs": 20 * math.log10(max(peak, 1e-12)),
"audio_rms_dbfs": 20 * math.log10(max(rms, 1e-12)),
"audio_clipped_fraction": float(np.mean(np.abs(stereo) >= 0.999)),
"audio_stereo_correlation": corr,
}
output_path.write_text(json.dumps(metrics, indent=2, sort_keys=True) + "\n")
print(json.dumps(metrics, sort_keys=True))
PY
mid=$((frames / 2))
"$FFMPEG" -hide_banner -loglevel error -y -i "$mp4" \
-vf "select='eq(n,0)+eq(n,${mid})+eq(n,$((frames - 1)))',scale=640:384:flags=lanczos,tile=3x1:padding=4:margin=4" \
-frames:v 1 "$outdir/contact.png"
sha256sum "$mp4" "$outdir/contact.png" "$outdir/metrics.json" "$outdir/run.json" | tee "$outdir/SHA256SUMS"
cat "$outdir/metrics.json"
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