update: version

app.yaml

@@ -1,6 +1,6 @@
 id: t11
 name: t11
-version: 2.18.2
+version: 3.0.5
 author: t11
 icon: ''
 desc: t11
@@ -18,8 +18,8 @@ files:
   - laser_manager.py
   - logger_manager.py
   - main.py
-  - model_317828.cvimodel
-  - model_317828.mud
+  - model_285484.cvimodel
+  - model_285484.mud
   - network.py
   - ota_curl.sh
   - ota_manager.py

camera_manager.py

@@ -66,6 +66,12 @@ class CameraManager:
         with self._camera_lock:
             if self._camera is None:
                 self._camera = camera.Camera(width, height)
+                v_flip = getattr(config, 'CAMERA_V_FLIP', False)
+                h_mirror = getattr(config, 'CAMERA_H_MIRROR', False)
+                if v_flip:
+                    self._camera.vflip(1)
+                if h_mirror:
+                    self._camera.hmirror(1)
         
         return self._camera
     
@@ -111,21 +117,6 @@ class CameraManager:
             if self._camera is None:
                 self.init_camera()
             frame = self._camera.read()
-            if frame is not None and _USE_CV:
-                try:
-                    v_flip = getattr(config, 'CAMERA_V_FLIP', False)
-                    h_mirror = getattr(config, 'CAMERA_H_MIRROR', False)
-                    if v_flip or h_mirror:
-                        img_cv = _maix_image.image2cv(frame, False, False)
-                        if v_flip and h_mirror:
-                            img_cv = cv2.flip(img_cv, -1)
-                        elif v_flip:
-                            img_cv = cv2.flip(img_cv, 0)
-                        elif h_mirror:
-                            img_cv = cv2.flip(img_cv, 1)
-                        frame = _maix_image.cv2image(img_cv, False, False)
-                except Exception:
-                    pass
             return frame
     
     def show(self, image):

config.py

@@ -241,10 +241,10 @@ TRIANGLE_BLACKHAT_KERNEL_FRAC = 0.018  # 核大小 ≈ min(h,w)*frac，取奇数
 # ── YOLO(NPU) 靶环 ROI → 裁剪后再跑三角形（减小 CPU 处理面积）──────────────────
 # 日志里 net_in=W×H 来自 .mud 模型（det.input_width/height），不是这里配置的。
 TRIANGLE_YOLO_ROI_ENABLE = True
-TRIANGLE_YOLO_MODEL_PATH = APP_DIR + "/model_317828.mud"
+TRIANGLE_YOLO_MODEL_PATH = APP_DIR + "/model_270139.mud"
 # 参与 ROI 的类别：多类时只填「整靶/靶环」的 id；不要填角标类，否则 union 仍可对，但 largest 会偏小。
 TRIANGLE_YOLO_RING_CLASS_IDS = (0,)
-TRIANGLE_YOLO_CONF_TH = 0.9
+TRIANGLE_YOLO_CONF_TH = 0.7
 TRIANGLE_YOLO_IOU_TH = 0.45
 # YOLO 首次/临界帧可能在高阈值下 0 框；启用后仅在 0 候选时用较低阈值重试一次。
 # 后续仍会经过 min_box_side、ROI aspect、三角形几何校验，避免直接放大假阳性。
@@ -271,9 +271,9 @@ TRIANGLE_YOLO_PRELOAD_ON_BOOT = False
 
 # YOLO target size classification: class 0=20cm, class 1=40cm.
 TARGET_CLASS_YOLO_ENABLE = True
-TARGET_CLASS_YOLO_MODEL_PATH = APP_DIR + "/model_317828.mud"
+TARGET_CLASS_YOLO_MODEL_PATH = APP_DIR + "/model_285484.mud"
 TARGET_CLASS_YOLO_LABELS = (20, 40)
-TARGET_CLASS_YOLO_CONF_TH = 0.66
+TARGET_CLASS_YOLO_CONF_TH = 0.50
 TARGET_CLASS_YOLO_IOU_TH = 0.45
 TARGET_CLASS_YOLO_RETRY_ON_EMPTY = False
 TARGET_CLASS_YOLO_RETRY_CONF_TH = 0.25
@@ -333,17 +333,14 @@ 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_ON_FAILURE = False  # 检测失败时是否强制保存图像（供调试测试用）
+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
-SAVE_RAW_IMAGE_ENABLED = False  # 原图保存功能保留，但当前关闭
-RAW_IMAGE_DIR = PHOTO_DIR + "/raw"
-RAW_IMAGE_MAX_IMAGES = MAX_IMAGES
 # Stage2 调试目录（默认 PHOTO_DIR/stage2_roi）内 JPEG 最多保留张数；None 表示与 MAX_IMAGES 相同
 TRIANGLE_BLACK_YOLO_STAGE2_ROI_MAX_IMAGES = None
 
-SHOW_CAMERA_PHOTO_WHILE_SHOOTING = False  # 关闭拍摄实时显示
+SHOW_CAMERA_PHOTO_WHILE_SHOOTING = False  # 是否在拍摄时显示摄像头图像（True=显示，False=不显示），建议在连着USB测试过程中打开
 
 # ==================== OTA配置 ====================
 MAX_BACKUPS = 5

main.py

@@ -172,10 +172,8 @@ def cmd_str():
             and bool(getattr(config, "TARGET_CLASS_YOLO_PRELOAD_ON_BOOT", True))
         )
         _preload_yolo = _preload_yolo or _need_black_preload or _need_target_preload
-        if _preload_yolo and not os.path.exists(f"{config.APP_DIR}/ota_pending.json"):
+        if _preload_yolo:
             preload_yolo_detector(logger)
-        elif _preload_yolo and logger:
-            logger.warning("[YOLO] ota_pending.json found; skip model preload until rollback check")
     except Exception as e:
         if logger:
             logger.warning(f"[YOLO-ROI] 启动预加载异常（不影响后续射箭）: {e}")
@@ -257,11 +255,7 @@ def cmd_str():
     network_manager.read_device_id()
 
     # 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）
-    if (
-        config.SAVE_IMAGE_ENABLED
-        or getattr(config, "SAVE_IMAGE_ON_FAILURE", False)
-        or getattr(config, "SAVE_RAW_IMAGE_ENABLED", False)
-    ):
+    if config.SAVE_IMAGE_ENABLED or getattr(config, "SAVE_IMAGE_ON_FAILURE", False):
         photo_dir = config.PHOTO_DIR
         if photo_dir not in os.listdir("/root"):
             try:
@@ -393,7 +387,7 @@ def cmd_str():
             # 触发后需等气压降到触发值以下才重新检测增量
             if adc_val < trigger_adc_val :
                 enable_check = True
-            if (adc_val - last_adc_val) > 500 and enable_check:
+            if (adc_val - last_adc_val) > 250 and enable_check:
                 hardware_manager.start_idle_timer()  # 重新计时
                 last_adc_trigger = current_time
                 trigger_adc_val = adc_val  # 记录触发时的气压值

model_285484.mud

@@ -1,7 +1,7 @@
 
 [basic]
 type = cvimodel
-model = model_317828.cvimodel
+model = model_285484.cvimodel
 
 [extra]
 model_type = yolov5

shoot_manager.py

@@ -8,7 +8,7 @@ from laser_manager import laser_manager
 from logger_manager import logger_manager
 from network import network_manager
 from triangle_target import load_camera_from_xml, load_triangle_positions, try_triangle_scoring
-from vision import estimate_distance, detect_circle_v3, enqueue_save_shot, enqueue_save_raw_shot
+from vision import estimate_distance, detect_circle_v3, enqueue_save_shot
 from maix import image, time
 
 # 缓存相机标定与三角形位置，避免每次射箭重复读磁盘
@@ -322,11 +322,6 @@ def process_shot(adc_val):
     try:
         frame = camera_manager.read_frame()
 
-        # 在任何检测和绘图之前复制原始帧；默认由配置关闭，不增加量产开销。
-        from shot_id_generator import shot_id_generator
-        shot_id = shot_id_generator.generate_id()
-        enqueue_save_raw_shot(frame, shot_id)
-
         # 网络事件移到拍照之后，避免阻塞拍照
         network_manager.safe_enqueue({"shoot_event": "start"}, msg_type=2, high=True)
 
@@ -385,6 +380,10 @@ def process_shot(adc_val):
         if dx is None and dy is None and logger:
             logger.warning("[MAIN] 未检测到偏移量（三角形与圆形均失败），但会保存图像")
 
+        # 生成射箭ID
+        from shot_id_generator import shot_id_generator
+        shot_id = shot_id_generator.generate_id()
+
         if logger:
             logger.info(f"[MAIN] 射箭ID: {shot_id}")
 
@@ -442,13 +441,6 @@ def process_shot(adc_val):
             inner_data["ellipse_center_x"] = None
             inner_data["ellipse_center_y"] = None
 
-        upload_time_ms = int(time_std.time() * 1000)
-        upload_time_sec, upload_time_millis = divmod(upload_time_ms, 1000)
-        inner_data["upload_time"] = (
-            time_std.strftime("%Y-%m-%d %H:%M:%S", time_std.localtime(upload_time_sec))
-            + f".{upload_time_millis:03d}"
-        )
-
         report_data = {"cmd": 1, "data": inner_data}
         if logger:
             logger.info(

version.md

@@ -30,8 +30,4 @@
 # 2.15.17 修复wifi连接问题
 # 2.15.18 wifi连接成功重新登录
 # 2.16.4  优化射箭延迟
-# 2.17.0  yolo标靶类别识别
-# 2.17.1  26-08-19 17：39 压力传感修改 增量方式
-# 2.17.2 26-08-24 17：56 靶纸识别模型更替
-# 2.17.3 26-08-25 9：57 原图拍摄开关
-# 2.17.4 26-08-25 14：57 模型修改
+# 2.17.0  yolo标靶类别识别

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 = '2.18.2'
+VERSION = '3.0.5'
 
 

vision.py

@@ -902,16 +902,13 @@ def _save_shot_image_impl(img_cv, center, radius, method, ellipse_params,
 
 
 def _save_worker_loop():
-    """存图 worker：处理标注图和可选的纯原图任务。"""
+    """存图 worker：从队列取任务并调用 _save_shot_image_impl。"""
     while True:
         try:
             item = _save_queue.get()
             if item is None:
                 break
-            if isinstance(item, dict) and item.get("kind") == "raw":
-                _save_raw_image_impl(item["img_cv"], item["shot_id"], item["photo_dir"])
-            else:
-                _save_shot_image_impl(*item)
+            _save_shot_image_impl(*item)
         except Exception as e:
             logger = logger_manager.logger
             if logger:
@@ -939,52 +936,6 @@ def start_save_shot_worker():
         logger.info("[VISION] 存图 worker 线程已启动")
 
 
-def _save_raw_image_impl(img_cv, shot_id, photo_dir):
-    """保存未标注、未裁剪的完整原始帧。"""
-    logger = logger_manager.logger
-    try:
-        os.makedirs(photo_dir, exist_ok=True)
-        filename = os.path.join(photo_dir, f"shot_{shot_id}_raw.jpg")
-        image.cv2image(img_cv, False, False).save(filename)
-        prune_old_images_in_dir(
-            photo_dir,
-            getattr(config, "RAW_IMAGE_MAX_IMAGES", config.MAX_IMAGES),
-            logger,
-            "[VISION-RAW]",
-        )
-        if logger:
-            logger.info(f"[VISION-RAW] 已保存纯原图: {filename}")
-        return filename
-    except Exception as e:
-        if logger:
-            logger.error(f"[VISION-RAW] 保存纯原图失败: {e}")
-        return None
-
-
-def enqueue_save_raw_shot(frame, shot_id, photo_dir=None):
-    """复制并异步保存原始帧；由 SAVE_RAW_IMAGE_ENABLED 控制是否启用。"""
-    if not getattr(config, "SAVE_RAW_IMAGE_ENABLED", False):
-        return
-    if photo_dir is None:
-        photo_dir = getattr(config, "RAW_IMAGE_DIR", os.path.join(config.PHOTO_DIR, "raw"))
-    try:
-        img_copy = np.copy(image.image2cv(frame, False, False))
-        _save_queue.put_nowait({
-            "kind": "raw",
-            "img_cv": img_copy,
-            "shot_id": shot_id,
-            "photo_dir": photo_dir,
-        })
-    except queue.Full:
-        logger = logger_manager.logger
-        if logger:
-            logger.warning("[VISION-RAW] 存图队列已满，跳过本次纯原图保存")
-    except Exception as e:
-        logger = logger_manager.logger
-        if logger:
-            logger.error(f"[VISION-RAW] 复制纯原图失败: {e}")
-
-
 def enqueue_save_shot(result_img, center, radius, method, ellipse_params,
                       laser_point, distance_m, shot_id=None, photo_dir=None,
                       yolo_roi_xyxy=None, force_save=False):