#!/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 //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()