feat: HDMI-Tool 启动时强制扩展显示拓扑 + 收录波形/注入脚本

2026-09-10 19:47:39 +08:00
parent 65c85c2844
commit 1f7e697558
8 changed files with 749 additions and 18 deletions
@@ -0,0 +1,74 @@
+# Kingst VIS 3 通道边沿流分段: 按占空比签名分段, 输出各通道占空比
+# 用法: python la_wave_analyzer3.py <capture.csv>  (列: Time[s], ch8, ch9, ch10)
+import csv, time, statistics
+
+import sys
+PATH = sys.argv[1] if len(sys.argv)  else r"E:\Hulk-Coding\LT8619C_DLPC3421_HDMI\tools\wave\A1_RGB-SWAP.csv"
+
+t0 = time.time()
+rows = []
+with open(PATH, encoding='utf-8-sig', errors='replace') as f:
+    r = csv.reader(f)
+    hdr = next(r)
+    print('header:', hdr)
+    for row in r:
+        if len(row) < 4:
+            continue
+        rows.append((float(row[0]) * 1e9, int(row[1]), int(row[2]), int(row[3])))
+n = len(rows)
+t_last = rows[-1][0] + 1000.0
+print('rows=%d span=%.2fs' % (n, (t_last - rows[0][0]) / 1e9))
+
+W = 50_000_000.0
+wins = []
+acc = {'t0': rows[0][0], 'hi': [0.0, 0.0, 0.0]}
+for i in range(n - 1):
+    t, a, b, c = rows[i]
+    dt = min(rows[i + 1][0], t_last) - t
+    if dt <= 0:
+        continue
+    acc['hi'][0] += dt if a else 0.0
+    acc['hi'][1] += dt if b else 0.0
+    acc['hi'][2] += dt if c else 0.0
+    if rows[i + 1][0] - acc['t0'] >= W:
+        span = rows[i + 1][0] - acc['t0']
+        wins.append((acc['t0'], tuple(x / span for x in acc['hi'])))
+        acc = {'t0': rows[i + 1][0], 'hi': [0.0, 0.0, 0.0]}
+
+
+def sig(d):
+    hi = [x > 0.5 for x in d]
+    return ('D7' if hi[0] else '--') + '/' + ('D15' if hi[1] else '--') + '/' + ('D23' if hi[2] else '--')
+
+
+segs = []
+for t, d in wins:
+    s = sig(d)
+    if segs and segs[-1][0] == s:
+        segs[-1][1].append((t, d))
+    else:
+        segs.append((s, [(t, d)]))
+
+print('\n%-16s %10s %9s %9s %9s' % ('活动组签名', '时长(s)', 'D7占空', 'D15占空', 'D23占空'))
+for s, ws in segs:
+    dur = ws[-1][0] - ws[0][0]
+    m = [statistics.mean(x[1][k] for x in ws) for k in range(3)]
+    print('%-16s %10.2f %8.1f%% %8.1f%% %8.1f%%' % (s, dur, m[0] * 100, m[1] * 100, m[2] * 100))
+
+# 每段行结构抽查(第一段一次即可)
+s0, ws0 = segs[0]
+ch = 0
+starts = []
+seg_t0 = ws0[0][0] - W / 2
+for j in range(n - 1):
+    t = rows[j][0]
+    if t < seg_t0:
+        continue
+    if rows[j][1] and rows[j + 1][0] - t >= 15000.0:
+        starts.append(t)
+    if len(starts) >= 5 or t > seg_t0 + 0.3e9:
+        break
+if len(starts) >= 2:
+    p = statistics.median([b - a for a, b in zip(starts, starts[1:])])
+    print('\n行周期抽查: %.0fns (%.1f clk @40MHz)' % (p, p / 25.0))
+print('耗时 %.1fs' % (time.time() - t0))