fix: 默认不保存图片

- 检出靶框裁剪放大后二次 detect 复检(conf 0.25)，以复检结果为准
- 全图结果上报门槛 MIN_REPORT_CONF=0.5，复检结果 >0.25 即采纳
- 0 结果时按 RETRY_CONF_TH 自动重检；class_id=1 解析阶段过滤
- 换用 model_326162，去除调试 print 改走 logger

app.yaml

@@ -1,6 +1,6 @@
 id: t11
 name: t11
-version: 2.18.0
+version: 2.18.10
 author: t11
 icon: ''
 desc: t11
@@ -18,8 +18,8 @@ files:
   - laser_manager.py
   - logger_manager.py
   - main.py
-  - model_317828.cvimodel
+  - model_326162.cvimodel
-  - model_317828.mud
+  - model_326162.mud
   - network.py
   - ota_curl.sh
   - ota_manager.py

config.py

@@ -262,14 +262,25 @@ TRIANGLE_SAMPLE_PATCH_HALF_PX = 2
 # 开机阶段预加载 YOLO detector；detect 使用 dual_buff=False，避免返回上一帧结果。
 TRIANGLE_YOLO_PRELOAD_ON_BOOT = False
 
-# YOLO target size classification: class 0=20cm, class 1=40cm.
+# YOLO target size classification: class_id → label，下标即 class_id：0=40cm, 1=0(靶心), 2=20cm.
 TARGET_CLASS_YOLO_ENABLE = True
-TARGET_CLASS_YOLO_MODEL_PATH = APP_DIR + "/model_317828.mud"
+TARGET_CLASS_YOLO_MODEL_PATH = APP_DIR + "/model_326162.mud"
-TARGET_CLASS_YOLO_LABELS = (20, 40)
+TARGET_CLASS_YOLO_LABELS = (40, 0, 20)
-TARGET_CLASS_YOLO_CONF_TH = 0.66
+# 只有映射结果落在该集合内才用于上报（如 class 1→label 0 直接忽略）
-TARGET_CLASS_YOLO_IOU_TH = 0.45
+TARGET_CLASS_YOLO_VALID_LABELS = (20, 40)
-TARGET_CLASS_YOLO_RETRY_ON_EMPTY = False
+# 解析阶段直接丢弃的 class_id（1=靶心），不参与任何选择/上报
+TARGET_CLASS_YOLO_IGNORE_CLASS_IDS = (1,)
+TARGET_CLASS_YOLO_CONF_TH = 0.5
+# 首次检测 0 结果时用该阈值重新检测一次（≥CONF_TH 时按 CONF_TH 同参重跑）
 TARGET_CLASS_YOLO_RETRY_CONF_TH = 0.25
+# 检出靶框后裁剪放大再 detect 一次，与全图结果互相印证（不一致以复检为准）
+TARGET_CLASS_YOLO_RECHECK_CROP = True
+TARGET_CLASS_YOLO_RECHECK_MARGIN_FRAC = 0.1
+# 复检的 detect 阈值与接受门槛：置信度大于该值即采纳复检结果
+TARGET_CLASS_YOLO_RECHECK_CONF_TH = 0.25
+# 全图结果（无复检时）的上报置信度门槛，None/0 表示不启用
+TARGET_CLASS_YOLO_MIN_REPORT_CONF = 0.5
+TARGET_CLASS_YOLO_IOU_TH = 0.45
 TARGET_CLASS_YOLO_PRELOAD_ON_BOOT = True
 
 # ── 第二段 YOLO：仅在 Stage1 裁切出的靶环图上推理（与合成 stage2 训练数据一致）→ 子框内传统算法取直角点 ──
@@ -326,7 +337,7 @@ LOG_QUEUE_MAXSIZE = 10000       # 日志队列上限
 MAX_CMD_THREADS = 10            # 并发命令线程上限（防止服务器下发命令时无限创建线程）
 
 # ==================== 图像保存配置 ====================
-SAVE_IMAGE_ENABLED = True  # 是否保存图像（True=保存，False=不保存）
+SAVE_IMAGE_ENABLED = False  # 是否保存图像（True=保存，False=不保存）
 SAVE_IMAGE_ON_FAILURE = True  # 检测失败时是否强制保存图像（供调试测试用）
 PHOTO_DIR = "/root/phot"    # 照片存储目录
 MAX_IMAGES = 1000

main.py

@@ -124,7 +124,7 @@ def cmd_str():
 
     # 1. 初始化日志系统（WARNING级别，不打印/写入INFO和DEBUG日志，提高执行流畅度）
     import logging
-    logger_manager.init_logging(log_level=logging.DEBUG)
+    logger_manager.init_logging(log_level=logging.WARNING)
     logger = logger_manager.logger
 
     # 补充：因为初始化的时候，激光会亮，先关了它

model_326162.mud

@@ -1,7 +1,7 @@
 
 [basic]
 type = cvimodel
-model = model_317828.cvimodel
+model = model_326162.cvimodel
 
 [extra]
 model_type = yolov5
@@ -9,5 +9,5 @@ input_type = rgb
 mean = 0, 0, 0
 scale = 0.00392156862745098, 0.00392156862745098, 0.00392156862745098
 anchors = 10, 13, 16, 30, 33, 23, 30, 61, 62, 45, 59, 119, 116, 90, 156, 198, 373, 326
-labels = 20, 40
+labels = 40, 00, 20
 

target_roi_yolo.py

@@ -310,7 +310,10 @@ def _det_obj_score(o):
 
 
 def try_get_target_class_from_yolo(maix_frame, logger=None):
-    """Classify the current target as 20cm or 40cm; return None if unknown."""
+    """调用 YOLO 检测：class_id∈IGNORE_CLASS_IDS(默认 1) 的框在解析时直接过滤；
+    detections 输出其余全部框（不按置信度过滤）；
+    上报以「检出框裁剪放大后的复检结果」为主，复检不可用时用全图结果；
+    有效靶规格(20/40)中取置信度最高的一条，且低于 MIN_REPORT_CONF 不上报类别。"""
     try:
         import config as cfg
     except Exception:
@@ -333,64 +336,239 @@ def try_get_target_class_from_yolo(maix_frame, logger=None):
 
     conf_th = float(getattr(cfg, "TARGET_CLASS_YOLO_CONF_TH", 0.5))
     iou_th = float(getattr(cfg, "TARGET_CLASS_YOLO_IOU_TH", 0.45))
-    labels = getattr(cfg, "TARGET_CLASS_YOLO_LABELS", (20, 40))
+
+    # class_id → 靶规格标签，下标即 class_id：0→40, 1→0, 2→20
+    labels = getattr(cfg, "TARGET_CLASS_YOLO_LABELS", (40, 0, 20))
     if isinstance(labels, str):
         labels = tuple(x.strip() for x in labels.split(",") if x.strip())
     labels = tuple(labels)
 
-    def _detect(threshold):
+    # 只有映射到这些标签的检测才算有效靶规格（class 1→label 0 直接忽略）
+    valid_labels = getattr(cfg, "TARGET_CLASS_YOLO_VALID_LABELS", (20, 40))
+    if isinstance(valid_labels, str):
+        valid_labels = tuple(
+            int(float(x.strip())) for x in valid_labels.split(",") if x.strip()
+        )
+    valid_labels = frozenset(int(float(v)) for v in valid_labels)
+
+    # 解析阶段就丢弃这些 class_id（1=靶心），不进入 detections，也不参与上报选择
+    ignore_class_ids = getattr(cfg, "TARGET_CLASS_YOLO_IGNORE_CLASS_IDS", (1,))
+    if isinstance(ignore_class_ids, int):
+        ignore_class_ids = (ignore_class_ids,)
+    if isinstance(ignore_class_ids, str):
+        ignore_class_ids = tuple(
+            int(float(x.strip())) for x in ignore_class_ids.split(",") if x.strip()
+        )
+    ignore_class_ids = frozenset(int(float(v)) for v in ignore_class_ids)
+    n_ignored = [0]
+
+    def _run(threshold):
         try:
-            raw = detector.detect(maix_frame, conf_th=threshold, iou_th=iou_th)
+            return detector.detect(maix_frame, conf_th=threshold, iou_th=iou_th)
         except Exception as exc:
             if logger:
                 logger.warning(f"[YOLO-TARGET] detect 异常: {exc}")
-            return []
+            return None
-        return _normalize_objs(raw if raw is not None else [])
 
-    def _candidates(objs):
+    def _obj_box(o):
-        found = []
+        try:
-        for obj in objs:
+            return (
-            class_id = _det_obj_class_id(obj)
+                round(float(o.x), 1),
-            if class_id is None or class_id < 0 or class_id >= len(labels):
+                round(float(o.y), 1),
-                continue
+                round(float(o.w), 1),
-            try:
+                round(float(o.h), 1),
-                label = int(float(labels[class_id]))
-            except (TypeError, ValueError):
-                continue
-            if label in (20, 40):
-                found.append((label, class_id, _det_obj_score(obj)))
-        return found
-
-    objects = _detect(conf_th)
-    candidates = _candidates(objects)
-    if logger and objects:
-        logger.info(
-            "[YOLO-TARGET] 原始框=%d, 解析类别=%s"
-            % (
-                len(objects),
-                [(_det_obj_class_id(o), _det_obj_score(o)) for o in objects[:8]],
             )
-        )
+        except (TypeError, ValueError, AttributeError):
-    if not candidates and bool(
+            return None
-        getattr(cfg, "TARGET_CLASS_YOLO_RETRY_ON_EMPTY", False)
-    ):
-        retry_th = float(getattr(cfg, "TARGET_CLASS_YOLO_RETRY_CONF_TH", conf_th))
-        if 0 < retry_th < conf_th:
-            candidates = _candidates(_detect(retry_th))
 
-    if not candidates:
+    def _parse(raw_result):
+        out = []
+        n_ignored[0] = 0
+        for obj in _normalize_objs(raw_result if raw_result is not None else []):
+            class_id = _det_obj_class_id(obj)
+            if class_id is None or class_id in ignore_class_ids:
+                n_ignored[0] += 1
+                continue
+            label = None
+            if 0 <= class_id < len(labels):
+                try:
+                    label = int(float(labels[class_id]))
+                except (TypeError, ValueError):
+                    label = None
+            out.append(
+                {
+                    "class_id": class_id,
+                    "label": label,
+                    "confidence": round(_det_obj_score(obj), 4),
+                    "box_xywh": _obj_box(obj),
+                }
+            )
+        return out
+
+    # 第 1 次检测
+    raw = _run(conf_th)
+    detections = _parse(raw)
+
+    # 0 结果时重新检测一次（阈值取更小值，仍为 0 则同参数重跑）
+    if not detections:
+        retry_th = float(getattr(cfg, "TARGET_CLASS_YOLO_RETRY_CONF_TH", 0.25) or 0)
+        if not (0 < retry_th < conf_th):
+            retry_th = conf_th
         if logger:
-            logger.warning("[YOLO-TARGET] 当前帧未识别到 20/40，按未知处理")
+            logger.info(f"[YOLO-TARGET] 0 结果，重新检测 conf_th={retry_th}")
-        return None
+        raw_retry = _run(retry_th)
+        detections_retry = _parse(raw_retry)
+        if detections_retry:
+            detections = detections_retry
 
-    label, class_id, confidence = max(candidates, key=lambda item: item[2])
-    result = {"label": label, "class_id": class_id, "confidence": confidence}
     if logger:
         logger.info(
-            f"[YOLO-TARGET] 当前帧分类={label}, class_id={class_id}, "
+            f"[YOLO-TARGET] 检测结果={detections}"
-            f"conf={confidence:.3f}"
+            f"（已忽略 class_id∈{tuple(sorted(ignore_class_ids))} 共{n_ignored[0]} 条）"
         )
-    return result
+
+    if not detections:
+        if logger:
+            logger.warning("[YOLO-TARGET] 未检测到目标（已重检 1 次）")
+        return None
+
+    def _best_valid(dets):
+        valid = [d for d in dets if d["label"] in valid_labels]
+        if not valid:
+            return None
+        return max(valid, key=lambda d: d["confidence"])
+
+    def _crop_target(box, margin_frac):
+        """按检出框(带 margin)裁出放大 ROI；返回 Maix image，失败返回 None。"""
+        if not box or len(box) != 4:
+            return None
+        x, y, w, h = [float(v) for v in box]
+        try:
+            fw, fh = int(maix_frame.width()), int(maix_frame.height())
+        except Exception:
+            fw = fh = 0
+        mx, my = w * margin_frac, h * margin_frac
+        x0, y0 = int(max(0, x - mx)), int(max(0, y - my))
+        x1 = int(min(fw, x + w + mx)) if fw else int(x + w + mx)
+        y1 = int(min(fh, y + h + my)) if fh else int(y + h + my)
+        if (x1 - x0) < 32 or (y1 - y0) < 32:
+            if logger:
+                logger.warning(
+                    f"[YOLO-TARGET] 复检裁剪过小 [{x0},{y0},{x1},{y1}]"
+                )
+            return None
+        try:
+            cropped = maix_frame.crop(x0, y0, x1 - x0, y1 - y0)
+            if cropped is not None:
+                return cropped
+        except Exception:
+            pass
+        try:
+            from maix import image as maix_image
+
+            arr = maix_frame.to_numpy()
+            slab = np.ascontiguousarray(arr[y0:y1, x0:x1], dtype=np.uint8)
+            if slab.size == 0:
+                return None
+            return maix_image.cv2image(slab, False, True)
+        except Exception as exc:
+            if logger:
+                logger.warning(f"[YOLO-TARGET] 复检裁剪失败: {exc}")
+            return None
+
+    # 上报口径：只在有效靶规格(20/40)里取置信度最高的一条，class_id=1 已在解析阶段过滤
+    full_best = _best_valid(detections)
+
+    # 二次裁剪复检：把全图检出的靶框裁剪放大后再 detect 一次，与全图结果互相印证
+    # 复检用更低阈值 RECHECK_CONF_TH，置信度大于该值即接受
+    recheck_th = float(getattr(cfg, "TARGET_CLASS_YOLO_RECHECK_CONF_TH", 0.25))
+    crop_best = None
+    recheck_status = "off"
+    if full_best is not None and bool(
+        getattr(cfg, "TARGET_CLASS_YOLO_RECHECK_CROP", True)
+    ):
+        recheck_status = "fail"
+        margin_frac = float(
+            getattr(cfg, "TARGET_CLASS_YOLO_RECHECK_MARGIN_FRAC", 0.1)
+        )
+        crop_img = _crop_target(full_best["box_xywh"], margin_frac)
+        if crop_img is not None:
+            try:
+                raw_crop = detector.detect(
+                    crop_img, conf_th=recheck_th, iou_th=iou_th
+                )
+            except Exception as exc:
+                raw_crop = None
+                if logger:
+                    logger.warning(f"[YOLO-TARGET] 复检 detect 异常: {exc}")
+            if raw_crop is not None:
+                crop_dets = _parse(raw_crop)
+                recheck_status = "ok"
+                crop_best = _best_valid(crop_dets)
+                if crop_best is not None and crop_best["confidence"] <= recheck_th:
+                    crop_best = None
+                if logger:
+                    logger.info(
+                        f"[YOLO-TARGET] 复检(conf_th={recheck_th}, "
+                        f"裁剪框={full_best['box_xywh']}) 结果={crop_dets}"
+                    )
+
+    # 合并：以复检（裁剪放大）结果为主；复检无结果才用全图
+    picked = full_best
+    picked_from_crop = False
+    note = ""
+    if recheck_status == "ok":
+        if crop_best is None:
+            note = f"复检无 conf>{recheck_th} 的有效框，沿用全图"
+        else:
+            picked = crop_best
+            picked_from_crop = True
+            if crop_best["label"] == full_best["label"]:
+                note = f"复检一致({crop_best['label']})，以复检为准"
+            else:
+                note = (
+                    f"复检与全图不一致(全图={full_best['label']}@{full_best['confidence']}, "
+                    f"裁剪={crop_best['label']}@{crop_best['confidence']})，以复检为准"
+                )
+
+    # 置信度门槛：低于阈值不上报类别，避免硬猜（复检结果只需 > RECHECK_CONF_TH）
+    if picked is not None:
+        if picked_from_crop:
+            min_report_conf = recheck_th
+            below = picked["confidence"] <= min_report_conf
+        else:
+            min_report_conf = float(
+                getattr(cfg, "TARGET_CLASS_YOLO_MIN_REPORT_CONF", 0.5)
+            )
+            below = picked["confidence"] < min_report_conf
+        if below:
+            note = (note + "; " if note else "") + (
+                f"conf={picked['confidence']} 未达门槛{min_report_conf}，置信度不足"
+            )
+            picked = None
+
+    if picked is None:
+        label, class_id, confidence = None, None, None
+    else:
+        label = picked["label"]
+        class_id = picked["class_id"]
+        confidence = picked["confidence"]
+
+    if logger:
+        logger.info(
+            f"[YOLO-TARGET] 上报={label}, class_id={class_id}, conf={confidence}, "
+            f"全图候选={[(d['label'], d['confidence']) for d in detections if d['label'] in valid_labels]}, "
+            f"复检={recheck_status} {note}"
+        )
+        if note:
+            logger.warning(f"[YOLO-TARGET] {note}")
+
+    return {
+        "label": label,
+        "class_id": class_id,
+        "confidence": confidence,
+        "detections": detections,
+    }
 
 
 def _det_to_src_xyxy(o, coord_mode: str, src_w: int, src_h: int, net_w: int, net_h: int):

test/test_bluetooth.py

@@ -0,0 +1,135 @@
+#!/usr/bin/env python3
+# test_bluetooth.py
+# 参考: https://wiki.sipeed.com/maixpy/doc/zh/modules/bluetooth.html
+#
+# 依赖:
+#   1. 使能蓝牙:  bluetoothctl power on
+#      (可选开机自启: echo "bluetoothctl power on" >> /etc/rc.local)
+#   2. 安装依赖:  pip install bleak
+
+import asyncio
+import sys
+from collections import namedtuple
+
+try:
+    from bleak import BleakScanner, BleakClient
+except ImportError:
+    print("ModuleNotFoundError: No module named 'bleak'")
+    print("请先在设备上安装依赖:")
+    print("  pip install bleak")
+    print("并使能蓝牙:")
+    print("  bluetoothctl power on")
+    sys.exit(1)
+
+MODEL_NBR_UUID = "1A2A"
+
+BLEDev = namedtuple("BLEDev", ["address", "name"])
+
+
+async def scan_devices(timeout=5.0):
+    """扫描周围的蓝牙设备"""
+    print("=" * 60)
+    print("Scanning BLE devices...")
+    print("=" * 60)
+
+    found = {}
+
+    def _cb(device, adv):
+        found[device.address] = adv.local_name or device.name
+
+    try:
+        await BleakScanner.discover(timeout=timeout, detection_callback=_cb)
+    except Exception as e:
+        print(f"Scan failed: {e}")
+        print("Possible causes:")
+        print("  1. Bluetooth not powered on: bluetoothctl power on")
+        print("  2. bleak not installed: pip install bleak")
+        print("  3. BLE hardware/driver not available")
+        return []
+
+    if not found:
+        print("No devices found.")
+        return []
+
+    devices = []
+    for address, name in found.items():
+        devices.append(BLEDev(address, name))
+        print(f"  {address}  {name}")
+    return devices
+
+
+async def connect_device(address, timeout=20.0, retries=3):
+    """连接蓝牙设备并尝试读取特征值"""
+    print("=" * 60)
+    print(f"Connecting to {address} ...")
+    print("=" * 60)
+
+    for attempt in range(1, retries + 1):
+        try:
+            async with BleakClient(address, timeout=timeout) as client:
+                print(f"Connected: {client.is_connected}")
+
+                # 遍历服务和特征值
+                for service in client.services:
+                    print(f"  Service: {service.uuid}")
+                    for char in service.characteristics:
+                        print(f"    Char: {char.uuid}  props={list(char.properties)}")
+
+                # 尝试读取 Model Number 特征
+                try:
+                    value = await client.read_gatt_char(MODEL_NBR_UUID)
+                    print(f"Model Number: {value.decode(errors='replace')}")
+                except Exception as e:
+                    print(f"Read {MODEL_NBR_UUID} failed (device may not have it): {e}")
+
+                return True
+        except Exception as e:
+            print(f"[attempt {attempt}/{retries}] Connect failed: {e}")
+            if attempt < retries:
+                await asyncio.sleep(2)
+
+    print("\nAll attempts failed. 请检查:")
+    print("  1. forrily 是否已连到手机/其它主机（BLE 外设通常只允许一连接），")
+    print("     先在手机上断开它")
+    print("  2. 清除 BlueZ 缓存后重试:")
+    print(f"       bluetoothctl remove {address}")
+    print("       systemctl restart bluetooth")
+    print("       bluetoothctl power on")
+    print("  3. 升级依赖:")
+    print("       pip install -U bleak dbus-fast")
+    return False
+
+
+async def main():
+    target_name = "forrily"
+
+    devices = await scan_devices(timeout=5.0)
+    if not devices:
+        return
+
+    if len(sys.argv) > 1:
+        address = sys.argv[1]
+    else:
+        # 按名字查找目标设备，不连第一个
+        target = None
+        for d in devices:
+            if d.name and d.name.strip().lower() == target_name.lower():
+                target = d
+                break
+        if target is None:
+            for d in devices:
+                if d.name and target_name.lower() in d.name.strip().lower():
+                    target = d
+                    break
+        if target is None:
+            print(f"\nDevice named '{target_name}' not found!")
+            print("Scanned devices are listed above.")
+            return
+        address = target.address
+        print(f"\nFound '{target_name}': {address}")
+
+    await connect_device(address)
+
+
+if __name__ == "__main__":
+    asyncio.run(main())

test/test_bluetooth_peripheral.py

@@ -0,0 +1,239 @@
+#!/usr/bin/env python3
+# test_bluetooth_peripheral.py
+# 设备(MaixCAM)作为 BLE 从机(Peripheral/GATT Server)广播给手机连接。
+# 参考: https://wiki.sipeed.com/maixpy/doc/zh/modules/bluetooth.html
+#
+# 用法:
+#   python test_bluetooth_peripheral.py [广播名字]     # 默认 shoot
+#
+# 依赖:
+#   1. 使能蓝牙:  bluetoothctl power on
+#   2. 安装依赖:  pip install bless
+#   3. 部分 BlueZ 需要 experimental 模式才支持 GATT Server:
+#      编辑 /etc/bluetooth/main.conf 保证有 Experimental = true
+#      然后 systemctl restart bluetooth && bluetoothctl power on
+#
+# 手机端: 用 nRF Connect / 任意 BLE 调试 App 搜索广播名连接，
+#         读写 characteristic 并订阅 notify，每 2 秒会收到计数通知。
+#
+# 实现:
+#   - GATT 服务由 bless 注册到 BlueZ
+#   - 广播由常驻 bluetoothctl 子进程控制 (menu advertise / name / advertise on)，
+#     这是已验证手机能搜到的路径; 若 bluetoothctl 不可用则回退到 btmgmt adv on
+
+import asyncio
+import shutil
+import subprocess
+import sys
+import time
+
+try:
+    from bless import (
+        BlessServer,
+        GATTCharacteristicProperties,
+        GATTAttributePermissions,
+    )
+except ImportError:
+    print("ModuleNotFoundError: No module named 'bless'")
+    print("请先在设备上安装依赖:")
+    print("  pip install bless")
+    print("并使能蓝牙:")
+    print("  bluetoothctl power on")
+    raise SystemExit(1)
+
+DEVICE_NAME = sys.argv[1] if len(sys.argv) > 1 else "shoot"
+SERVICE_UUID = "A07498CA-AD5B-474E-940D-16F1FBE7E8CD"
+CHAR_UUID = "51FF12BB-3ED8-46E5-B4F9-D64E2FEC021B"
+BTCTL_LOG = "/tmp/btctl_adv.log"
+
+# 不同 bless 版本枚举名不同: writeable / writable
+try:
+    WRITE_PERMISSION = GATTAttributePermissions.writeable
+except AttributeError:
+    WRITE_PERMISSION = GATTAttributePermissions.writable
+
+_btctl = None
+
+
+def on_read(characteristic, request):
+    print(f"[GATT] read {characteristic.uuid}")
+    return characteristic.value
+
+
+def on_write(characteristic, value, request):
+    characteristic.value = value
+    print(f"[GATT] write {characteristic.uuid} = {bytes(value)}")
+
+
+def on_subscribe(characteristic, session):
+    print(f"[GATT] client subscribed: {characteristic.uuid}")
+
+
+def on_unsubscribe(characteristic, session):
+    print(f"[GATT] client unsubscribed: {characteristic.uuid}")
+
+
+def _run(cmd):
+    try:
+        r = subprocess.run(cmd, capture_output=True, text=True, timeout=10)
+        out = ((r.stdout or "") + (r.stderr or "")).strip()
+        if out:
+            print(f"[adv] {' '.join(cmd)} -> {out}")
+        return r.returncode == 0
+    except FileNotFoundError:
+        print(f"[adv] {cmd[0]} not found")
+        return False
+    except Exception as e:
+        print(f"[adv] {' '.join(cmd)} failed: {e}")
+        return False
+
+
+def adv_start(name):
+    """启动广播: 优先 bluetoothctl (常驻子进程), 失败则回退 btmgmt"""
+    global _btctl
+
+    if shutil.which("bluetoothctl") is not None:
+        try:
+            log = open(BTCTL_LOG, "w")
+            _btctl = subprocess.Popen(
+                ["bluetoothctl"],
+                stdin=subprocess.PIPE,
+                stdout=log,
+                stderr=subprocess.STDOUT,
+                text=True,
+                bufsize=1,
+            )
+        except Exception as e:
+            print(f"[adv] start bluetoothctl failed: {e}")
+            _btctl = None
+
+        if _btctl is not None:
+            for cmd in (
+                "menu advertise",
+                f"name {name}",
+                "discoverable on",
+                "menu main",
+                "advertise on",
+            ):
+                try:
+                    _btctl.stdin.write(cmd + "\n")
+                    _btctl.stdin.flush()
+                except Exception as e:
+                    print(f"[adv] write '{cmd}' failed: {e}")
+                    break
+                time.sleep(0.3)
+
+            time.sleep(1.0)
+            if _btctl.poll() is None:
+                print(f"[adv] bluetoothctl advertising on (log: {BTCTL_LOG})")
+                return True
+            print("[adv] bluetoothctl exited early, fallback to btmgmt")
+
+    # 回退: mgmt 传统广播
+    if shutil.which("btmgmt") is None:
+        print("[adv] bluetoothctl/btmgmt 均不可用")
+        return False
+    _run(["btmgmt", "le", "on"])
+    _run(["btmgmt", "connectable", "on"])
+    return _run(["btmgmt", "adv", "on"])
+
+
+def adv_stop():
+    global _btctl
+    if _btctl is not None:
+        try:
+            _btctl.stdin.write("advertise off\n")
+            _btctl.stdin.flush()
+            time.sleep(0.3)
+            _btctl.terminate()
+        except Exception:
+            pass
+        _btctl = None
+    elif shutil.which("btmgmt") is not None:
+        _run(["btmgmt", "adv", "off"])
+
+
+async def run():
+    gatt = {
+        SERVICE_UUID: {
+            CHAR_UUID: {
+                "Properties": (
+                    GATTCharacteristicProperties.read
+                    | GATTCharacteristicProperties.write
+                    | GATTCharacteristicProperties.notify
+                ),
+                "Permissions": (
+                    GATTAttributePermissions.readable | WRITE_PERMISSION
+                ),
+                "Value": bytearray(b"hello from maixcam"),
+            }
+        }
+    }
+
+    server = BlessServer(
+        name=DEVICE_NAME,
+        on_read=on_read,
+        on_write=on_write,
+        on_subscribe=on_subscribe,
+        on_unsubscribe=on_unsubscribe,
+    )
+
+    print("Adding GATT ...")
+    await server.add_gatt(gatt)
+
+    print(f"Starting BLE peripheral, name = '{DEVICE_NAME}' ...")
+    try:
+        await server.start()
+    except Exception as e:
+        print(f"start() failed: {e}")
+        print("排查:")
+        print("  1. 蓝牙是否上电:  bluetoothctl power on  (bluetoothctl show 看 Powered)")
+        print("  2. /etc/bluetooth/main.conf 加 Experimental = true 后重启:")
+        print("       systemctl restart bluetooth && bluetoothctl power on")
+        print("  3. 依赖: pip install -U bless dbus-next bleak")
+        return
+
+    adv = await server.is_advertising()
+    print("=" * 60)
+    print(f"'{DEVICE_NAME}' advertising status: {adv}")
+
+    print("Starting advertising ...")
+    if not adv_start(DEVICE_NAME):
+        print("广播启动失败，请手动执行: bluetoothctl -> advertise on")
+
+    print("手机用 nRF Connect 等 App 搜索并连接，")
+    print(f"服务 {SERVICE_UUID}")
+    print(f"特征 {CHAR_UUID}  (read/write/notify)")
+    print("Ctrl+C 退出")
+    print("=" * 60)
+
+    try:
+        # 每 2 秒向订阅者推送一次计数
+        counter = 0
+        while True:
+            counter += 1
+            try:
+                char = server.get_characteristic(CHAR_UUID)
+                if char is not None:
+                    char.value = bytearray(str(counter).encode())
+                    server.update_value(SERVICE_UUID, CHAR_UUID)
+            except Exception as e:
+                # 没有客户端订阅时可能失败，忽略
+                print(f"notify failed: {e}")
+
+            if counter % 10 == 0:
+                try:
+                    print(f"[status] advertising={await server.is_advertising()} "
+                          f"connected={await server.is_connected()}")
+                except Exception:
+                    pass
+            await asyncio.sleep(2)
+    finally:
+        adv_stop()
+
+
+if __name__ == "__main__":
+    try:
+        asyncio.run(run())
+    except KeyboardInterrupt:
+        print("\nStopped.")

version.py

@@ -4,6 +4,6 @@
 应用版本号
 每次 OTA 更新时，只需要更新这个文件中的版本号
 """
-VERSION = '2.18.0'
+VERSION = '2.18.10'