Stage 0 complete: walking human detected via RSSI (spread 3->12dB, ~3dB body shadow); windowed analyzer

tools/stage0/analyze.py

@@ -0,0 +1,26 @@
+#!/usr/bin/env python3
+"""Windowed stats over an RSSI capture CSV (stage 0)."""
+import csv
+import sys
+
+path = sys.argv[1] if len(sys.argv) > 1 else 'dataset/stage0_walk1.csv'
+win = int(sys.argv[2]) if len(sys.argv) > 2 else 10
+
+rows = []
+for r in csv.reader(open(path)):
+    if len(r) == 3 and r[2] != 'dbm':
+        rows.append((float(r[1]), int(r[2])))
+
+if not rows:
+    sys.exit('no data rows')
+print(f'{path}: {len(rows)} samples, span {rows[-1][0]:.0f}s')
+print('  window   mean  spread   std')
+for w in range(0, int(rows[-1][0]) + 1, win):
+    v = [d for t, d in rows if w <= t < w + win]
+    if not v:
+        continue
+    m = sum(v) / len(v)
+    sd = (sum((x - m) ** 2 for x in v) / len(v)) ** 0.5
+    sp = max(v) - min(v)
+    print(f'{w:3d}-{w + win:3d}s  {m:6.1f}  {sp:5d}  {sd:5.2f}  '
+          + '#' * int(max(1, sp)))