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5ab4ef2944
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yrx
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440e34097c | ||
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02d3e18d35 | ||
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c34efed6f9 | ||
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226394d3ed | ||
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b169618b16 |
@@ -1,6 +1,6 @@
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id: t11
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name: t11
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version: 2.15.14
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version: 2.15.15
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author: t11
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icon: ''
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desc: t11
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@@ -25,6 +25,7 @@ files:
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- ota_manager.py
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- power.py
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- server.pem
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- set_autostart.py
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- shoot_manager.py
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- shot_id_generator.py
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- target_roi_yolo.py
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@@ -341,7 +341,7 @@ PIN_MAPPINGS = {
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}
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# ==================== 电源配置 ====================
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AUTO_POWER_OFF_IN_SECONDS = 10 * 60 # 自动关机时间(秒),0表示不自动关机
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AUTO_POWER_OFF_IN_SECONDS = 0 # 自动关机时间(秒),0表示不自动关机
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BATTERY_SOC_LPF_ALPHA = 0.5
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BATTERY_SOC_AVG_WINDOW = 5
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+8
-7
@@ -29,7 +29,7 @@ class HardwareManager:
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self._adc_obj = None # ADC对象
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self._at_client = None # AT客户端
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self._last_active_time = 0 # 用于记录用户的最后一次活跃的时间
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self._last_active_ticks = None # 上次活跃时刻(ticks_ms,单调递增,不受校时影响)
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self._stop_timer = False # 用于停止定时器的标志
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self._initialized = True
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@@ -111,7 +111,7 @@ class HardwareManager:
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def start_idle_timer(self):
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self._stop_timer = False
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self._last_active_time = time.time()
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self._last_active_ticks = time.ticks_ms()
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def stop_idle_timer(self):
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self._stop_timer = True
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@@ -119,12 +119,13 @@ class HardwareManager:
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def get_idle_time_in_sec(self):
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if self._stop_timer:
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return 0
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diff = time.time() - self._last_active_time
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if diff < 0:
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# 时间可能被重置了,重新计时
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self._last_active_time = time.time()
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if self._last_active_ticks is None:
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return 0
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return diff
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diff_ms = time.ticks_diff(time.ticks_ms(), self._last_active_ticks)
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if diff_ms < 0:
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self._last_active_ticks = time.ticks_ms()
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return 0
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return diff_ms / 1000.0
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# 创建全局单例实例
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@@ -275,6 +275,11 @@ def cmd_str():
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hardware_manager.start_idle_timer()
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if logger:
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_auto_power_off = int(getattr(config, "AUTO_POWER_OFF_IN_SECONDS", 0) or 0)
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if _auto_power_off <= 0:
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logger.info("[MAIN] 自动关机已禁用 (AUTO_POWER_OFF_IN_SECONDS=0)")
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else:
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logger.info(f"[MAIN] 自动关机: {_auto_power_off} 秒无活动")
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logger.info("系统准备完成...")
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last_adc_trigger = 0
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@@ -338,7 +343,10 @@ def cmd_str():
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# 不在 OTA 状态下,检测是否空闲足够长,自动关机
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# print(f"[MAIN] 空闲时间: {hardware_manager.get_idle_time_in_sec() }秒")
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# print(f"配置关机时间:{config.AUTO_POWER_OFF_IN_SECONDS} 秒")
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if hardware_manager.get_idle_time_in_sec() > config.AUTO_POWER_OFF_IN_SECONDS:
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if (
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config.AUTO_POWER_OFF_IN_SECONDS > 0
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and hardware_manager.get_idle_time_in_sec() > config.AUTO_POWER_OFF_IN_SECONDS
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):
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logger.info("[MAIN] 超过设定时间未检测活动,自动关机")
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network_manager.safe_enqueue({"poweroff": "超过设定时间未检测活动,自动关机"}, 2)
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time.sleep_ms(100)
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@@ -2092,6 +2092,7 @@ class NetworkManager:
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battery_data = {
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"battery": battery_percent,
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"voltage": round(float(voltage), 3),
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"netType": self.network_type,
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}
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self.safe_enqueue(battery_data, 2)
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self.logger.info(f"电量上报: {battery_percent}%")
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@@ -94,29 +94,33 @@ def detect_circle_v3(frame, laser_point=None):
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# 如果检测到黄色圆圈,再检测红色圆圈进行验证
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if yellow_center and yellow_radius:
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# HSV 红色掩码检测(红色在HSV中跨越0度,需要两个范围)
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# 红色范围1: 0-10度(接近0度的红色)
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lower_red1 = np.array([0, 50, 40])
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upper_red1 = np.array([10, 255, 255])
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# 红色范围1: 0-12度(接近0度的红色)
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# 放宽S/V阈值:S>=30, V>=20 以捕获淡红/暗红
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lower_red1 = np.array([0, 30, 20])
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upper_red1 = np.array([12, 255, 255])
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mask_red1 = cv2.inRange(hsv, lower_red1, upper_red1)
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# 红色范围2: 170-180度(接近180度的红色)
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lower_red2 = np.array([170, 50, 40])
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# 红色范围2: 168-180度(接近180度的红色)
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lower_red2 = np.array([168, 30, 20])
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upper_red2 = np.array([180, 255, 255])
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mask_red2 = cv2.inRange(hsv, lower_red2, upper_red2)
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# 合并两个红色掩码
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mask_red = cv2.bitwise_or(mask_red1, mask_red2)
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# 形态学操作
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# 形态学操作:先CLOSE填充空洞,再DILATE加厚环状区域
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kernel_red = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (5, 5))
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mask_red = cv2.morphologyEx(mask_red, cv2.MORPH_CLOSE, kernel_red)
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mask_red = cv2.dilate(mask_red, kernel_red, iterations=1)
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contours_red, _ = cv2.findContours(mask_red, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
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red_pixel_count = np.sum(mask_red > 0)
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print(f"Debug -> 红色掩码: {red_pixel_count} 像素, {len(contours_red)} 个轮廓")
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found_valid_red = False
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if contours_red:
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# 找到所有符合条件的红色圆圈
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for cnt_red in contours_red:
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area_red = cv2.contourArea(cnt_red)
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perimeter_red = cv2.arcLength(cnt_red, True)
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@@ -126,9 +130,10 @@ def detect_circle_v3(frame, laser_point=None):
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else:
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circularity_red = 0
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# 红色圆圈也应该有一定的圆度
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if area_red > 30 and circularity_red > 0.4:
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# 计算红色圆圈的中心和半径
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# 环状轮廓圆度可能偏低,放宽到0.2
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print(f"Debug -> 红轮廓: 面积={area_red:.1f}, 圆度={circularity_red:.2f}" +
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f" (面积>15={area_red > 15}, 圆度>0.2={circularity_red > 0.2})")
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if area_red > 15 and circularity_red > 0.2:
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if len(cnt_red) >= 5:
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(x_red, y_red), (w_red, h_red), angle_red = cv2.fitEllipse(cnt_red)
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radius_red = min(w_red, h_red) / 2
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@@ -139,22 +144,25 @@ def detect_circle_v3(frame, laser_point=None):
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red_center = (int(x_red), int(y_red))
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red_radius = int(radius_red)
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# 计算黄色和红色圆心的距离
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if red_center:
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dx = yellow_center[0] - red_center[0]
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dy = yellow_center[1] - red_center[1]
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distance = np.sqrt(dx * dx + dy * dy)
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# 圆心距离阈值:应该小于黄色半径的某个倍数(比如1.5倍)
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max_distance = yellow_radius * 1.5
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max_distance = yellow_radius * 2.0
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min_r = min(red_radius, yellow_radius)
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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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# 红色圆圈应该比黄色圆圈大(外圈)
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if distance < max_distance and red_radius > yellow_radius * 0.7:
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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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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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# 记录这个有效目标
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valid_targets.append({
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'center': yellow_center,
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'radius': yellow_radius,
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@@ -164,6 +172,16 @@ def detect_circle_v3(frame, laser_point=None):
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break
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if not found_valid_red:
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# 如果黄圈非常可靠(大且圆),在没有红圈验证时仍接受
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if area > 30 and circularity > 0.85:
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print(f"[target] -> 黄圈高置信度(面积:{area:.0f}, 圆度:{circularity:.2f}),跳过红圈验证直接接受")
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valid_targets.append({
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'center': yellow_center,
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'radius': yellow_radius,
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'ellipse': yellow_ellipse,
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'area': area
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})
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else:
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print("Debug -> 未找到匹配的红色圆圈,可能是误识别")
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# 从所有有效目标中选择最佳目标
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@@ -596,7 +614,7 @@ if __name__ == "__main__":
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# 检查文件扩展名
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if any(filename.lower().endswith(ext) for ext in IMAGE_EXTENSIONS):
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# 过滤掉 _result.jpg 后缀的文件
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if not filename.endswith('_result.jpg'):
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if filename.endswith('no_target.jpg'):
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filepath = os.path.join(TARGET_DIR, filename)
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if os.path.isfile(filepath):
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image_files.append(filepath)
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@@ -25,3 +25,5 @@
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# 2.15.12 优化算法
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# 2.15.13 优化算法
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# 2.15.14 优化算法
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# 2.15.15 优化wifi连接
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# 2.15.16 修复不关机,空闲计时改用 ticks_ms(不受校时影响),启动时打印自动关机配置
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+1
-1
@@ -4,6 +4,6 @@
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应用版本号
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每次 OTA 更新时,只需要更新这个文件中的版本号
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"""
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VERSION = '2.15.14'
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VERSION = '2.15.16'
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@@ -239,7 +239,6 @@ class WiFiManager:
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old_conf = _read_text(conf_path)
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old_boot_ssid = _read_text(ssid_file)
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old_boot_pass = _read_text(pass_file)
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old_boot_wpa = _read_text(boot_wpa_path) if os.path.exists(boot_wpa_path) else None
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try:
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try:
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@@ -251,9 +250,13 @@ class WiFiManager:
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_write_text(conf_path, full_conf)
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except Exception:
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pass
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_write_text(boot_wpa_path, full_conf)
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# 删除 wpa_supplicant.conf,让 S30wifi 回退读 ssid/pass
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try:
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if os.path.exists(boot_wpa_path):
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os.remove(boot_wpa_path)
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except Exception:
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pass
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# 仍写入 ssid/pass,便于其它脚本/人工查看;S30wifi 优先使用 wpa_supplicant.conf
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_write_text(ssid_file, ssid.strip())
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_write_text(pass_file, password.strip())
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@@ -293,7 +296,6 @@ class WiFiManager:
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if not persist:
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# 不持久化:把 /boot 恢复成旧值(不重启,当前连接保持不变)
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_restore_boot(old_boot_ssid, old_boot_pass)
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_restore_boot_wpa(old_boot_wpa)
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self.logger.info("[WIFI] 网络验证通过,但按 persist=False 回滚 /boot 凭证(不重启)")
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else:
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self.logger.info("[WIFI] 网络验证通过,/boot 凭证已保留(持久化)")
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@@ -307,7 +309,6 @@ class WiFiManager:
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except Exception as e:
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# 失败:回滚 /boot 和 /etc,重启 WiFi 恢复旧网络
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_restore_boot(old_boot_ssid, old_boot_pass)
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_restore_boot_wpa(old_boot_wpa)
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try:
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if old_conf is not None:
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_write_text(conf_path, old_conf)
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@@ -352,7 +353,11 @@ class WiFiManager:
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else:
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full_conf = build_sta_conf_open(ssid)
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_write_text(conf_path, full_conf)
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_write_text(boot_wpa_path, full_conf)
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try:
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if os.path.exists(boot_wpa_path):
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os.remove(boot_wpa_path)
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except Exception:
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pass
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except ValueError as e:
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return False, str(e)
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except Exception as e:
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Reference in New Issue
Block a user