fix: 触发
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@@ -245,8 +245,8 @@ def cmd_str():
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# 4. 初始化设备ID(network_manager 内部会自动设置 device_id 和 password)
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network_manager.read_device_id()
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# 5. 创建照片存储目录(如果启用图像保存)
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if config.SAVE_IMAGE_ENABLED:
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# 5. 创建照片存储目录(如果启用图像保存或检测失败时强制保存)
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if config.SAVE_IMAGE_ENABLED or getattr(config, "SAVE_IMAGE_ON_FAILURE", False):
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photo_dir = config.PHOTO_DIR
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if photo_dir not in os.listdir("/root"):
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try:
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@@ -278,6 +278,12 @@ def cmd_str():
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logger.info("系统准备完成...")
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last_adc_trigger = 0
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# 读取一次ADC初始值,防止开机时传感器已有压力导致误触发
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try:
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last_adc_val = hardware_manager.adc_obj.read()
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except Exception:
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last_adc_val = 0
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peak_adc_val = 0 # 当前周期内的压力峰值
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# 气压采样:减少日志频率(每 N 个点输出一条),避免 logger.debug 拖慢采样
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PRESSURE_BATCH_SIZE = 100
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@@ -367,15 +373,21 @@ def cmd_str():
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pressure_max = adc_val
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if len(pressure_buf) >= PRESSURE_BATCH_SIZE:
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_flush_pressure_buf("batch")
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# if adc_val >= 2000:
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# print(f"adc :{adc_val}")
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if adc_val >= config.ADC_TRIGGER_THRESHOLD:
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# 峰值检测:压力从峰值下降时触发,确保捕获到最大冲击时刻
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if adc_val > peak_adc_val:
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peak_adc_val = adc_val # 更新峰值
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if (peak_adc_val >= config.ADC_TRIGGER_THRESHOLD
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and adc_val < peak_adc_val
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and last_adc_val >= peak_adc_val):
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# 封顶后下降沿触发:peak是最大值,当前值开始下降,且上次值还在peak位置
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hardware_manager.start_idle_timer() # 重新计时
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diff_ms = current_time - last_adc_trigger
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if diff_ms < 3000:
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logger.info(f"[MAIN] 扳机触发过于频繁, {diff_ms}ms")
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peak_adc_val = 0 # 去抖期间重置峰值
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time.sleep_ms(5)
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continue
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last_adc_trigger = current_time
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peak_adc_val = 0 # 触发后重置峰值
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# 触发前先把缓存刷出来,避免波形被长耗时处理截断
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_flush_pressure_buf("before_trigger")
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@@ -396,6 +408,7 @@ def cmd_str():
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except Exception as e:
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pass
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time.sleep_ms(5)
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last_adc_val = adc_val
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except Exception as e:
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# 主循环的顶层异常捕获,防止程序静默退出
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+3
-1
@@ -520,6 +520,7 @@ def process_shot(adc_val):
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laser_manager.flash_laser(config.FLASH_LASER_DURATION_MS)
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# 保存图像(异步队列,与 main.py 一致)
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_force_save = (dx is None and dy is None) and getattr(config, "SAVE_IMAGE_ON_FAILURE", False)
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enqueue_save_shot(
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result_img,
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center,
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@@ -529,8 +530,9 @@ def process_shot(adc_val):
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(x, y),
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distance_m,
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shot_id=shot_id,
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photo_dir=config.PHOTO_DIR if config.SAVE_IMAGE_ENABLED else None,
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photo_dir=config.PHOTO_DIR if (config.SAVE_IMAGE_ENABLED or _force_save) else None,
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yolo_roi_xyxy=yolo_roi_xyxy if draw_yolo_roi else None,
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force_save=_force_save,
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)
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if logger:
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@@ -154,11 +154,11 @@ def detect_circle_v3(frame, laser_point=None):
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max_r = max(red_radius, yellow_radius)
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size_ratio = min_r / max_r if max_r > 0 else 0
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print(f"Debug -> 圆心距={distance:.1f}(阈值={max_distance:.1f}), "
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f"大小比={size_ratio:.2f}(阈值=0.5), "
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f"距离OK={distance < max_distance}, 大小OK={size_ratio > 0.5}")
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f"大小比={size_ratio:.2f}(阈值=0.4), "
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f"距离OK={distance < max_distance}, 大小OK={size_ratio >= 0.4}")
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# 允许红圈在黄圈外侧或内侧,只要大小相近(较小/较大 >= 0.5)
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if distance < max_distance and size_ratio > 0.5:
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if distance < max_distance and size_ratio >= 0.4:
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found_valid_red = True
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print(
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f"[target] -> 找到匹配的红圈: 黄心({yellow_center}), 红心({red_center}), 距离:{distance:.1f}, 黄半径:{yellow_radius}, 红半径:{red_radius}")
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@@ -598,7 +598,7 @@ if __name__ == "__main__":
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# 1. 设置要测试的图片路径
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# 建议将图片放在与脚本同级目录,或者使用绝对路径
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TARGET_IMAGE = "/root/phot/None_314_258_0_0041.bmp"
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TARGET_IMAGE = "/root/phot/shot_1830921_0_no_target.jpg"
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TARGET_DIR = "/root/phot" # 修改为你想要读取的目录路径
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