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Download code/lum_scan.py from teawhite/EYBX-processed: direct link, hf CLI and curl.
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https://huggingface.co/datasets/teawhite/EYBX-processed/resolve/main/code/lum_scan.py
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hf download hf://datasets/teawhite/EYBX-processed/code/lum_scan.py
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curl -L -o lum_scan.py https://huggingface.co/datasets/teawhite/EYBX-processed/resolve/main/code/lum_scan.py
5.58 kB
| #!/usr/bin/env python3 | |
| # -*- coding: utf-8 -*- | |
| """ | |
| lum_scan.py —— 全片逐帧亮度扫描(单次解码,流式) | |
| 为什么要全量而不是抽样:后面三件事都依赖逐帧亮度 | |
| 1. 对齐:传送时「掉黑」那一帧是把日志 vt 钉到视频时间轴的信号 | |
| 2. D2:帧均值 < 6 的低照度过滤 | |
| 3. 传送窗口复核:确认固定余量 [leg_end-1.0, leg_start+1.5] 真的盖住了黑屏+加载页 | |
| 度量必须与交付规格一致:`scale=64:36` + bicubic + gray,然后取整帧均值。 | |
| 换成别的缩放尺寸/插值,暗场景的读数会系统性偏移,D2 的阈值 6 就不再是同一个 6。 | |
| 产出 <out>/<session>/lum.npz: | |
| mean float32[N] 逐帧 64x36 灰度均值 (0-255) | |
| p95 float32[N] 逐帧 64x36 灰度 95 分位(配合 max 判「真·全黑」) | |
| mx uint8[N] 逐帧最大值 | |
| diff float32[N] 与前一帧的平均绝对差(diff[0]=nan),粗粒度重复帧信号 | |
| fps, n_frames | |
| """ | |
| from __future__ import annotations | |
| import argparse | |
| import json | |
| import os | |
| import subprocess | |
| import sys | |
| import time | |
| import numpy as np | |
| W, H = 64, 36 | |
| FRAME_BYTES = W * H | |
| def probe(path: str) -> dict: | |
| out = subprocess.run( | |
| ["ffprobe", "-v", "error", "-print_format", "json", | |
| "-show_streams", "-show_format", path], | |
| capture_output=True, text=True, check=True).stdout | |
| info = json.loads(out) | |
| v = next(s for s in info["streams"] if s["codec_type"] == "video") | |
| num, den = (v.get("r_frame_rate") or "30/1").split("/") | |
| return dict(width=int(v["width"]), height=int(v["height"]), | |
| fps=float(num) / float(den or 1), | |
| nb_frames=int(v.get("nb_frames") or 0), | |
| duration=float(info["format"].get("duration", 0) or 0)) | |
| def scan(path: str, threads: int = 8, chunk_frames: int = 512, report_every: int = 60.0): | |
| info = probe(path) | |
| fps = info["fps"] | |
| est = info["nb_frames"] or int(info["duration"] * fps) | |
| cmd = ["ffmpeg", "-v", "error", "-threads", str(threads), "-i", path, | |
| "-vf", f"scale={W}:{H}:flags=bicubic,format=gray", | |
| "-f", "rawvideo", "-pix_fmt", "gray", "-"] | |
| p = subprocess.Popen(cmd, stdout=subprocess.PIPE, bufsize=FRAME_BYTES * chunk_frames) | |
| means, p95s, mxs, diffs = [], [], [], [] | |
| prev = None | |
| t0 = time.time() | |
| last_report = t0 | |
| n = 0 | |
| want = FRAME_BYTES * chunk_frames | |
| buf = b"" | |
| while True: | |
| block = p.stdout.read(want) | |
| if not block: | |
| break | |
| buf += block | |
| k = len(buf) // FRAME_BYTES | |
| if k == 0: | |
| continue | |
| arr = np.frombuffer(buf[:k * FRAME_BYTES], np.uint8).reshape(k, H * W) | |
| buf = buf[k * FRAME_BYTES:] | |
| a = arr.astype(np.float32) | |
| means.append(a.mean(1)) | |
| p95s.append(np.percentile(a, 95, axis=1).astype(np.float32)) | |
| mxs.append(arr.max(1)) | |
| d = np.empty(k, np.float32) | |
| if prev is None: | |
| d[0] = np.nan | |
| if k > 1: | |
| d[1:] = np.abs(np.diff(a, axis=0)).mean(1) | |
| else: | |
| d[0] = np.abs(a[0] - prev).mean() | |
| if k > 1: | |
| d[1:] = np.abs(np.diff(a, axis=0)).mean(1) | |
| diffs.append(d) | |
| prev = a[-1] | |
| n += k | |
| now = time.time() | |
| if now - last_report >= report_every: | |
| el = now - t0 | |
| pct = 100.0 * n / est if est else 0.0 | |
| eta = (est - n) / max(n / el, 1e-9) if est else 0.0 | |
| print(f" {n:,}/{est:,} 帧 ({pct:.1f}%) · {n/el:.0f} fps · 已用 {el/60:.1f} min" | |
| f" · 剩 {eta/60:.1f} min", flush=True) | |
| last_report = now | |
| p.stdout.close() | |
| rc = p.wait() | |
| if rc != 0: | |
| print(f" [警告] ffmpeg 退出码 {rc}(多半是文件尾损坏,前面的帧仍然有效)", file=sys.stderr) | |
| return dict( | |
| mean=np.concatenate(means) if means else np.zeros(0, np.float32), | |
| p95=np.concatenate(p95s) if p95s else np.zeros(0, np.float32), | |
| mx=np.concatenate(mxs) if mxs else np.zeros(0, np.uint8), | |
| diff=np.concatenate(diffs) if diffs else np.zeros(0, np.float32), | |
| ), fps, rc | |
| def main(): | |
| ap = argparse.ArgumentParser(description="全片逐帧亮度扫描") | |
| ap.add_argument("--raw", default="/data/zhiyangdeng/EYBXROAM") | |
| ap.add_argument("--out", default="/data/zhiyangdeng/data_eybx/logs") | |
| ap.add_argument("--sessions", nargs="*", default=None) | |
| ap.add_argument("--threads", type=int, default=8) | |
| args = ap.parse_args() | |
| sessions = args.sessions or sorted( | |
| d for d in os.listdir(args.raw) | |
| if os.path.isdir(os.path.join(args.raw, d)) and d[0].isdigit()) | |
| for sid in sessions: | |
| vid = os.path.join(args.raw, sid, "video.mp4") | |
| dst = os.path.join(args.out, sid) | |
| os.makedirs(dst, exist_ok=True) | |
| print(f"== {sid} {os.path.getsize(vid)/1e9:.1f} GB") | |
| t0 = time.time() | |
| d, fps, rc = scan(vid, threads=args.threads) | |
| n = d["mean"].size | |
| np.savez_compressed(os.path.join(dst, "lum.npz"), fps=np.float64(fps), | |
| n_frames=np.int64(n), ffmpeg_rc=np.int32(rc), **d) | |
| el = time.time() - t0 | |
| m = d["mean"] | |
| print(f" {n:,} 帧 @ {fps:.4f} fps = {n/fps/3600:.2f} h · 用时 {el/60:.1f} min " | |
| f"({n/el:.0f} fps)") | |
| print(f" 亮度 中位 {np.median(m):.1f} · <6 占 {100*(m<6).mean():.2f}% · " | |
| f"<10 占 {100*(m<10).mean():.2f}% · <20 占 {100*(m<20).mean():.2f}%") | |
| print("DONE") | |
| if __name__ == "__main__": | |
| main() | |