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Python: calibration tool — ajout courbe moyenne glissante + légende

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Affiche la moyenne glissante (même fenêtre 60ms que le XIAO) en plus
de la courbe brute sur chaque graphe, avec légende. Permet de comprendre
visuellement pourquoi un tir est déclenché même si le pic brut semble
ne pas atteindre le seuil.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
j.foucher 2026-02-19 09:39:18 +01:00
parent ad72c2aad5
commit 6048ed9066
1 changed files with 39 additions and 12 deletions
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49
Python/Xiao_BLE_tools/xiao_calibration_tool.py
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@ -44,6 +44,9 @@ debug_mode = 3 # 0=OFF, 1=RAW, 2=TRIGGERS, 3=FULL (actif par défaut)
import numpy as np import numpy as np
X = np.arange(WINDOW_SIZE) # axe X fixe, ne change jamais X = np.arange(WINDOW_SIZE) # axe X fixe, ne change jamais
# Fenêtre de moyenne glissante en samples (60ms window / 50ms debug rate = ~1.2 → 3 samples min)
AVG_WINDOW = 3 # correspond à la accelWindow/gyroWindow/audioWindow envoyée au XIAO (60ms @ 20Hz)
# ─── BLE ──────────────────────────────────────────────── # ─── BLE ────────────────────────────────────────────────
def debug_callback(sender, data): def debug_callback(sender, data):
global audio_max_global, shot_pending global audio_max_global, shot_pending
@ -192,9 +195,12 @@ from matplotlib.animation import FuncAnimation
BG = '#1a1a2e' BG = '#1a1a2e'
PANEL = '#16213e' PANEL = '#16213e'
TEXT = '#e0e0e0' TEXT = '#e0e0e0'
CA = '#4fc3f7' # accel CA = '#4fc3f7' # accel brut
CG = '#81c784' # gyro CG = '#81c784' # gyro brut
CM = '#ce93d8' # audio CM = '#ce93d8' # audio brut
CA2 = '#0288d1' # accel moyenne (plus foncé)
CG2 = '#388e3c' # gyro moyenne
CM2 = '#7b1fa2' # audio moyenne
CT = '#ef5350' # trigger / seuil CT = '#ef5350' # trigger / seuil
CS = '#ff9800' # shot (orange vif) CS = '#ff9800' # shot (orange vif)
GRID = '#2a2a4a' GRID = '#2a2a4a'
@ -222,15 +228,23 @@ axes[3].set_ylim(-0.1, 1.5)
axes[3].set_yticks([]) # pas de graduations Y sur la timeline axes[3].set_yticks([]) # pas de graduations Y sur la timeline
# Créer les artistes UNE SEULE FOIS — on ne les recrée jamais # Créer les artistes UNE SEULE FOIS — on ne les recrée jamais
line_a, = axes[0].plot(X, list(accel_buf), color=CA, lw=1.5) line_a, = axes[0].plot(X, list(accel_buf), color=CA, lw=1.0, alpha=0.5, label='Brut')
line_g, = axes[1].plot(X, list(gyro_buf), color=CG, lw=1.5) line_g, = axes[1].plot(X, list(gyro_buf), color=CG, lw=1.0, alpha=0.5, label='Brut')
line_m, = axes[2].plot(X, list(audio_buf), color=CM, lw=1.5) line_m, = axes[2].plot(X, list(audio_buf), color=CM, lw=1.0, alpha=0.5, label='Brut')
line_a2, = axes[0].plot(X, list(accel_buf), color=CA2, lw=2.0, label=f'Moyenne ({AVG_WINDOW} pts / 60ms)')
line_g2, = axes[1].plot(X, list(gyro_buf), color=CG2, lw=2.0, label=f'Moyenne ({AVG_WINDOW} pts / 60ms)')
line_m2, = axes[2].plot(X, list(audio_buf), color=CM2, lw=2.0, label=f'Moyenne ({AVG_WINDOW} pts / 60ms)')
line_s, = axes[3].plot(X, list(shot_buf), color=CS, lw=0, marker='|', line_s, = axes[3].plot(X, list(shot_buf), color=CS, lw=0, marker='|',
markersize=20, markeredgewidth=2.5) # barres verticales markersize=20, markeredgewidth=2.5) # barres verticales
thr_a = axes[0].axhline(thresholds["accel"], color=CT, ls='--', lw=1.5) thr_a = axes[0].axhline(thresholds["accel"], color=CT, ls='--', lw=1.5, label='Seuil')
thr_g = axes[1].axhline(thresholds["gyro"], color=CT, ls='--', lw=1.5) thr_g = axes[1].axhline(thresholds["gyro"], color=CT, ls='--', lw=1.5, label='Seuil')
thr_m = axes[2].axhline(thresholds["audio"], color=CT, ls='--', lw=1.5) thr_m = axes[2].axhline(thresholds["audio"], color=CT, ls='--', lw=1.5, label='Seuil')
# Légendes
for ax in axes[:3]:
ax.legend(loc='upper left', fontsize=7, facecolor=PANEL, edgecolor='#444466',
labelcolor=TEXT, framealpha=0.8)
from matplotlib.patches import Rectangle from matplotlib.patches import Rectangle
from matplotlib.collections import PatchCollection from matplotlib.collections import PatchCollection
@ -262,17 +276,30 @@ def update_spans(spans, trig_list):
for i, span in enumerate(spans): for i, span in enumerate(spans):
span.set_alpha(0.25 if i < len(tl) and tl[i] else 0) span.set_alpha(0.25 if i < len(tl) and tl[i] else 0)
def rolling_avg(arr, window):
"""Moyenne glissante simple — même logique que le XIAO"""
kernel = np.ones(window) / window
return np.convolve(arr, kernel, mode='same')
def update(frame): def update(frame):
# Snapshot des buffers (rapide) # Snapshot des buffers (rapide)
a = np.array(accel_buf) a = np.array(accel_buf)
g = np.array(gyro_buf) g = np.array(gyro_buf)
m = np.array(audio_buf) m = np.array(audio_buf, dtype=float)
s = np.array(shot_buf) s = np.array(shot_buf)
# Moyennes glissantes (même fenêtre que le XIAO)
a_avg = rolling_avg(a, AVG_WINDOW)
g_avg = rolling_avg(g, AVG_WINDOW)
m_avg = rolling_avg(m, AVG_WINDOW)
# Mise à jour des données des lignes # Mise à jour des données des lignes
line_a.set_ydata(a) line_a.set_ydata(a)
line_g.set_ydata(g) line_g.set_ydata(g)
line_m.set_ydata(m) line_m.set_ydata(m)
line_a2.set_ydata(a_avg)
line_g2.set_ydata(g_avg)
line_m2.set_ydata(m_avg)
line_s.set_ydata(s) line_s.set_ydata(s)
# Mise à jour des seuils # Mise à jour des seuils
@ -319,7 +346,7 @@ def update(frame):
f"Debug XIAO : {DEBUG_MODE_NAMES[debug_mode]} [NUM0 = cycle OFF->RAW->TRIGGERS->FULL] | " f"Debug XIAO : {DEBUG_MODE_NAMES[debug_mode]} [NUM0 = cycle OFF->RAW->TRIGGERS->FULL] | "
f"MinSensors : {min_sensors}/3 [NUM6=+1 NUM4=-1]") f"MinSensors : {min_sensors}/3 [NUM6=+1 NUM4=-1]")
return (line_a, line_g, line_m, line_s, return (line_a, line_g, line_m, line_a2, line_g2, line_m2, line_s,
thr_a, thr_g, thr_m, thr_a, thr_g, thr_m,
*titles, status_txt, debug_txt) *titles, status_txt, debug_txt)