From 4961794bf5a39be4afc56a0690ffd90e1c06b4fa Mon Sep 17 00:00:00 2001
From: powlu <1144983626@qq.com>
Date: Tue, 23 Dec 2025 09:18:32 +0800
Subject: [PATCH] =?UTF-8?q?web=E5=89=8D=E5=A4=87=E4=BB=BD?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 __pycache__/mjpeg_streamer.cpython-38.pyc     | Bin 0 -> 3114 bytes
 __pycache__/shared_buffer.cpython-38.pyc      | Bin 0 -> 2415 bytes
 __pycache__/webrtc_streamer.cpython-38.pyc    | Bin 0 -> 4900 bytes
 getimg.py                                     |   2 +-
 images/back copy.png                          | Bin 0 -> 2759116 bytes
 images/car copy 2.png                         | Bin 0 -> 43877 bytes
 images/car copy.png                           | Bin 0 -> 43877 bytes
 mjpeg_streamer.py                             |  82 +++
 saveimg.py                                    | 546 ++++++++++++------
 shared_buffer.py                              |  40 ++
 static/layui/css/layui.css                    |   1 +
 static/layui/font/iconfont.eot                | Bin 0 -> 54764 bytes
 static/layui/font/iconfont.svg                | 409 +++++++++++++
 static/layui/font/iconfont.ttf                | Bin 0 -> 54588 bytes
 static/layui/font/iconfont.woff               | Bin 0 -> 34928 bytes
 static/layui/font/iconfont.woff2              | Bin 0 -> 30004 bytes
 static/layui/layui.js                         |   1 +
 .../__pycache__/capture_thread.cpython-38.pyc | Bin 2849 -> 2850 bytes
 .../__pycache__/fisheye_camera.cpython-38.pyc | Bin 3430 -> 3557 bytes
 .../__pycache__/utils.cpython-38.pyc          | Bin 4078 -> 4081 bytes
 surround_view/capture_thread.py               |   2 +-
 surround_view/fisheye_camera.py               |  27 +-
 surround_view/utils.py                        |   2 +-
 templates/index.html                          |  64 +-
 templates/login.html                          |  36 ++
 web.py                                        | 144 +++--
 26 files changed, 1124 insertions(+), 232 deletions(-)
 create mode 100644 __pycache__/mjpeg_streamer.cpython-38.pyc
 create mode 100644 __pycache__/shared_buffer.cpython-38.pyc
 create mode 100644 __pycache__/webrtc_streamer.cpython-38.pyc
 create mode 100644 images/back copy.png
 create mode 100644 images/car copy 2.png
 create mode 100644 images/car copy.png
 create mode 100644 mjpeg_streamer.py
 create mode 100644 shared_buffer.py
 create mode 100644 static/layui/css/layui.css
 create mode 100644 static/layui/font/iconfont.eot
 create mode 100644 static/layui/font/iconfont.svg
 create mode 100644 static/layui/font/iconfont.ttf
 create mode 100644 static/layui/font/iconfont.woff
 create mode 100644 static/layui/font/iconfont.woff2
 create mode 100644 static/layui/layui.js
 create mode 100644 templates/login.html

diff --git a/__pycache__/mjpeg_streamer.cpython-38.pyc b/__pycache__/mjpeg_streamer.cpython-38.pyc
new file mode 100644
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diff --git a/getimg.py b/getimg.py
index 50cb6d9..3491a1e 100644
--- a/getimg.py
+++ b/getimg.py
@@ -30,7 +30,7 @@ W, H = 1920, 1080
 
 def video_thread():
     global frame, running
-    cap = cv2.VideoCapture(which_camera, cv2.CAP_ANY)
+    cap = cv2.VideoCapture(which_camera, cv2.CAP_V4L2)
     cap.set(cv2.CAP_PROP_FOURCC,cv2.VideoWriter_fourcc(*"YUYV"))
     cap.set(cv2.CAP_PROP_FRAME_WIDTH, 1920)
     cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 1080)
diff --git a/images/back copy.png b/images/back copy.png
new file mode 100644
index 0000000000000000000000000000000000000000..6094940181fe710df0c6365a5d08dbfd11281047
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diff --git a/mjpeg_streamer.py b/mjpeg_streamer.py
new file mode 100644
index 0000000..8fa55d7
--- /dev/null
+++ b/mjpeg_streamer.py
@@ -0,0 +1,82 @@
+# mjpeg_streamer.py
+import threading
+import time
+from flask import Flask, Response, render_template, request, redirect, session, url_for
+import cv2
+
+# ====== 新增：登录配置 ======
+AUTO_LOGIN = None  # 👈 设置为 True 可跳过登录
+VALID_USER = {"username": "admin", "password": "admin"}
+
+class MJPEGServer:
+    def __init__(self, frame_buffer, host="0.0.0.0", port=8080):
+        self.frame_buffer = frame_buffer
+        self.host = host
+        self.port = port
+        self.app = Flask(__name__)
+        self.app.secret_key = 'your-secret-key-change-in-prod'  # 用于 session
+
+        # 路由
+        self.app.add_url_rule('/', 'index', self.index)
+        self.app.add_url_rule('/login', 'login', self.login, methods=['GET', 'POST'])
+        self.app.add_url_rule('/logout', 'logout', self.logout)
+        self.app.add_url_rule('/video_feed', 'video_feed', self.video_feed)
+
+        # 静态文件自动托管（Layui）
+        self.app.static_folder = 'static'
+
+    def is_logged_in(self):
+        return session.get('logged_in', False)
+
+    def check_auth(self):
+        if AUTO_LOGIN:
+            session['logged_in'] = True
+            return True
+        return self.is_logged_in()
+
+    def index(self):
+        if not self.check_auth():
+            return redirect(url_for('login'))
+        return render_template('index.html')
+
+    def login(self):
+        if request.method == 'POST':
+            username = request.form['username']
+            password = request.form['password']
+            if username == VALID_USER['username'] and password == VALID_USER['password']:
+                session['logged_in'] = True
+                return redirect(url_for('index'))
+            else:
+                return '<script>alert("用户名或密码错误");window.history.back();</script>'
+        return render_template('login.html')
+
+    def logout(self):
+        session.pop('logged_in', None)
+        return redirect(url_for('login'))
+
+    def video_feed(self):
+        if not self.check_auth():
+            return '', 403
+        return Response(self._gen(),
+                        mimetype='multipart/x-mixed-replace; boundary=frame')
+
+    def _gen(self):
+        while True:
+            success, frame = self.frame_buffer.get_frame()
+            if not success or frame is None:
+                time.sleep(0.1)
+                continue
+            ret, buffer = cv2.imencode('.jpg', frame, [int(cv2.IMWRITE_JPEG_QUALITY), 70])
+            if not ret:
+                continue
+            yield (b'--frame\r\n'
+                   b'Content-Type: image/jpeg\r\n\r\n' + buffer.tobytes() + b'\r\n')
+
+    def start(self):
+        thread = threading.Thread(
+            target=self.app.run,
+            kwargs={'host': self.host, 'port': self.port, 'debug': False, 'use_reloader': False},
+            daemon=True
+        )
+        thread.start()
+        print(f"[MJPEG] Web 系统已启动，访问 http://{self.host}:{self.port}")
\ No newline at end of file
diff --git a/saveimg.py b/saveimg.py
index 41cc0e3..d9f9a5c 100644
--- a/saveimg.py
+++ b/saveimg.py
@@ -1,191 +1,403 @@
+# main.py
 import cv2
 import threading
 import sys
-from datetime import datetime
 import os
 import argparse
 import numpy as np
+import time
 
-# 全局变量
-frame = None
-running = True
-which_camera = 0
-W, H = 1920, 1080   # 相机分辨率
+from surround_view import FisheyeCameraModel, BirdView
+import surround_view.param_settings as settings
 
-def load_camera_params(camera_name):
-    """
-    从YAML文件加载相机参数
-    """
-    yaml_file = os.path.join("yaml", f"{camera_name}.yaml")
-    
-    if not os.path.exists(yaml_file):
-        raise FileNotFoundError(f"YAML file not found: {yaml_file}")
-    
-    # 使用OpenCV读取YAML文件
-    fs = cv2.FileStorage(yaml_file, cv2.FILE_STORAGE_READ)
-    
-    # 读取相机内参矩阵
-    camera_matrix = fs.getNode("camera_matrix").mat()
-    
-    # 读取畸变系数
-    dist_coeffs = fs.getNode("dist_coeffs").mat()
-    
-    # 读取投影矩阵
-    project_matrix = fs.getNode("project_matrix").mat()
-    
-    # 读取缩放参数
-    scale_xy_node = fs.getNode("scale_xy")
-    if scale_xy_node.empty():
-        scale_xy = np.array([1.0, 1.0])
-    else:
-        scale_xy = scale_xy_node.mat().flatten()
-    
-    # 读取偏移参数
-    shift_xy_node = fs.getNode("shift_xy")
-    if shift_xy_node.empty():
-        shift_xy = np.array([0.0, 0.0])
-    else:
-        shift_xy = shift_xy_node.mat().flatten()
-    
-    fs.release()
-    
-    return camera_matrix, dist_coeffs, project_matrix, scale_xy, shift_xy
+sys.path.append(os.path.dirname(__file__))
+from py_utils.coco_utils import COCO_test_helper
+from py_utils.rknn_executor import RKNN_model_container
 
-def video_thread():
-    global frame, running
-    
-    # 动态加载当前摄像头的参数
-    try:
-        K, D, front_proj_matrix, scale_xy, shift_xy = load_camera_params(args.i.lower())
-        print(f"[INFO] Loaded parameters for {args.i} camera")
-    except Exception as e:
-        print(f"[ERROR] Failed to load camera parameters: {e}", file=sys.stderr)
-        running = False
-        return
-    
-    cap = cv2.VideoCapture(which_camera, cv2.CAP_ANY)
-    cap.set(cv2.CAP_PROP_FOURCC, cv2.VideoWriter_fourcc(*"YUYV"))
-    cap.set(cv2.CAP_PROP_FRAME_WIDTH, 1920)
-    cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 1080)
+from mjpeg_streamer import MJPEGServer
 
-    if not cap.isOpened():
-        print("[ERROR] Cannot open camera", file=sys.stderr)
-        running = False
-        return
+# --- 新增 ---
+from shared_buffer import CameraFrameBuffer, DetectionResultBuffer
 
-    # 创建修改后的相机矩阵（包含缩放和平移）
-    modified_camera_matrix = K.copy()
-    modified_camera_matrix[0, 0] *= scale_xy[0]  # fx *= scale_x
-    modified_camera_matrix[1, 1] *= scale_xy[1]  # fy *= scale_y
-    modified_camera_matrix[0, 2] += shift_xy[0]  # cx += shift_x
-    modified_camera_matrix[1, 2] += shift_xy[1]  # cy += shift_y
-    
-    # 鱼眼相机去畸变 合并缩放系数
-    map1, map2 = cv2.fisheye.initUndistortRectifyMap(K, D, np.eye(3), modified_camera_matrix, (W, H), cv2.CV_16SC2)
+# 启用 OpenCL（Mali-G610）
+if cv2.ocl.haveOpenCL():
+    cv2.ocl.setUseOpenCL(True)
+    print("✅ OpenCL is ON — using Mali-G610 GPU for acceleration")
+else:
+    print("⚠️ OpenCL not available")
 
-    # 鱼眼相机仅畸变
-    map3, map4 = cv2.fisheye.initUndistortRectifyMap(K, D, np.eye(3), K, (W, H), cv2.CV_16SC2)
+# ------ YOLO 配置 -----------
+YOLO_MODEL_PATH = './yolov5s-640-640.rknn'
+OBJ_THRESH = 0.6
+NMS_THRESH = 0.6
+IMG_SIZE = (640, 640)
+CLASSES = ("person",)
 
-    while running:
-        ret, f = cap.read()
-        if not ret:
-            break
+ANCHORS_FILE = './model/anchors_yolov5.txt'
+with open(ANCHORS_FILE, 'r') as f:
+    values = [float(_v) for _v in f.readlines()]
+    ANCHORS = np.array(values).reshape(3, -1, 2).tolist()
 
-        # 图像去畸变
-        undistorted = cv2.remap(f, map1, map2, interpolation=cv2.INTER_LINEAR, borderMode=cv2.BORDER_CONSTANT) 
-        undistorted2 = cv2.remap(f, map3, map4, interpolation=cv2.INTER_LINEAR, borderMode=cv2.BORDER_CONSTANT) 
-        
-        proj_image = cv2.warpPerspective(
-            undistorted, 
-            front_proj_matrix, 
-            (W, H),  # 输出大小 (与原始分辨率一致)
-            borderMode=cv2.BORDER_CONSTANT,
-            borderValue=(0, 0, 0)
-        )
 
-        frame = f.copy()
-        birdseye_small = cv2.resize(f, (W//2, H//2))
-        undistorted2_small = cv2.resize(undistorted2, (W//2, H//2))
+# ========== YOLO 后处理函数（保持不变）==========
+def filter_boxes(boxes, box_confidences, box_class_probs):
+    box_confidences = box_confidences.reshape(-1)
+    class_max_score = np.max(box_class_probs, axis=-1)
+    classes = np.argmax(box_class_probs, axis=-1)
+    _class_pos = np.where(class_max_score * box_confidences >= OBJ_THRESH)
+    scores = (class_max_score * box_confidences)[_class_pos]
+    boxes = boxes[_class_pos]
+    classes = classes[_class_pos]
+    return boxes, classes, scores
 
-        # 拼接原视频和抗畸变后的视频 （左右显示）
-        comparison = np.hstack((birdseye_small, undistorted2_small))
-        show_video = np.vstack((comparison, proj_image))
-    
-        # 设置视频流全屏显示
-        text_info = f"Camera: {args.i.upper()}  |  Press 'q' to quit, 's' to screenshot"
-        cv2.putText(show_video, text_info, (10, 30),
-                    cv2.FONT_HERSHEY_SIMPLEX, 0.8, (0, 255, 0), 2, cv2.LINE_AA)
+def nms_boxes(boxes, scores):
+    x = boxes[:, 0]; y = boxes[:, 1]; w = boxes[:, 2] - boxes[:, 0]; h = boxes[:, 3] - boxes[:, 1]
+    areas = w * h; order = scores.argsort()[::-1]
+    keep = []
+    while order.size > 0:
+        i = order[0]; keep.append(i)
+        xx1 = np.maximum(x[i], x[order[1:]]); yy1 = np.maximum(y[i], y[order[1:]])
+        xx2 = np.minimum(x[i] + w[i], x[order[1:]] + w[order[1:]]); yy2 = np.minimum(y[i] + h[i], y[order[1:]] + h[order[1:]])
+        w1 = np.maximum(0.0, xx2 - xx1 + 0.00001); h1 = np.maximum(0.0, yy2 - yy1 + 0.00001)
+        inter = w1 * h1
+        ovr = inter / (areas[i] + areas[order[1:]] - inter)
+        inds = np.where(ovr <= NMS_THRESH)[0]
+        order = order[inds + 1]
+    return np.array(keep)
 
-        cv2.namedWindow('Video old vs new', cv2.WND_PROP_FULLSCREEN)
-        cv2.setWindowProperty('Video old vs new', cv2.WND_PROP_FULLSCREEN, cv2.WINDOW_FULLSCREEN)
-        cv2.imshow('Video old vs new', show_video)
+def box_process(position, anchors):
+    grid_h, grid_w = position.shape[2:4]
+    col, row = np.meshgrid(np.arange(0, grid_w), np.arange(0, grid_h))
+    col = col.reshape(1, 1, grid_h, grid_w); row = row.reshape(1, 1, grid_h, grid_w)
+    grid = np.concatenate((col, row), axis=1)
+    stride = np.array([IMG_SIZE[1] // grid_h, IMG_SIZE[0] // grid_w]).reshape(1, 2, 1, 1)
+    col = col.repeat(len(anchors), axis=0); row = row.repeat(len(anchors), axis=0)
+    anchors = np.array(anchors).reshape(*anchors.shape, 1, 1)
+    box_xy = position[:, :2, :, :] * 2 - 0.5
+    box_wh = pow(position[:, 2:4, :, :] * 2, 2) * anchors
+    box_xy += grid; box_xy *= stride
+    box = np.concatenate((box_xy, box_wh), axis=1)
+    xyxy = np.copy(box)
+    xyxy[:, 0, :, :] = box[:, 0, :, :] - box[:, 2, :, :] / 2
+    xyxy[:, 1, :, :] = box[:, 1, :, :] - box[:, 3, :, :] / 2
+    xyxy[:, 2, :, :] = box[:, 0, :, :] + box[:, 2, :, :] / 2
+    xyxy[:, 3, :, :] = box[:, 1, :, :] + box[:, 3, :, :] / 2
+    return xyxy
 
-        if cv2.waitKey(1) & 0xFF == ord('q'):
-            running = False
-            break
+def post_process(input_data, anchors):
+    boxes, scores, classes_conf = [], [], []
+    input_data = [_in.reshape([len(anchors[0]), -1] + list(_in.shape[-2:])) for _in in input_data]
+    for i in range(len(input_data)):
+        boxes.append(box_process(input_data[i][:, :4, :, :], anchors[i]))
+        scores.append(input_data[i][:, 4:5, :, :])
+        classes_conf.append(input_data[i][:, 5:, :, :])
+    def sp_flatten(_in):
+        ch = _in.shape[1]; _in = _in.transpose(0, 2, 3, 1); return _in.reshape(-1, ch)
+    boxes = [sp_flatten(_v) for _v in boxes]
+    classes_conf = [sp_flatten(_v) for _v in classes_conf]
+    scores = [sp_flatten(_v) for _v in scores]
+    boxes = np.concatenate(boxes); classes_conf = np.concatenate(classes_conf); scores = np.concatenate(scores)
+    boxes, classes, scores = filter_boxes(boxes, scores, classes_conf)
+    nboxes, nclasses, nscores = [], [], []
+    for c in set(classes):
+        inds = np.where(classes == c)
+        b = boxes[inds]; c = classes[inds]; s = scores[inds]
+        keep = nms_boxes(b, s)
+        if len(keep) != 0:
+            nboxes.append(b[keep]); nclasses.append(c[keep]); nscores.append(s[keep])
+    if not nclasses: return None, None, None
+    boxes = np.concatenate(nboxes); classes = np.concatenate(nclasses); scores = np.concatenate(nscores)
+    return boxes, classes, scores
 
-    cap.release()
-    cv2.destroyAllWindows()
+def draw_detections(image, boxes, scores, classes):
+    if boxes is None: return image
+    for box, score, cl in zip(boxes, scores, classes):
+        if CLASSES[cl] != "person": continue
+        top, left, right, bottom = [int(_b) for _b in box]
+        cv2.rectangle(image, (top, left), (right, bottom), (0, 255, 0), 2)
+        label = f'person: {score:.2f}'
+        (w, h), _ = cv2.getTextSize(label, cv2.FONT_HERSHEY_SIMPLEX, 0.5, 1)
+        cv2.rectangle(image, (top, left - h - 5), (top + w, left), (0, 255, 0), -1)
+        cv2.putText(image, label, (top, left - 5), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 0), 1)
+    return image
 
-def input_thread():
-    global running
-    print("SSH命令: 's' = 截图, 'q' = 退出")
-    while running:
+
+# ========== 主类 ==========
+class MultiCameraBirdView:
+    def __init__(self):
+        self.running = True
+        self.names = settings.camera_names
+        self.yamls = [os.path.join(os.getcwd(), "yaml", name + ".yaml") for name in self.names]
+        self.camera_models = [
+            FisheyeCameraModel(camera_file, camera_name)
+            for camera_file, camera_name in zip(self.yamls, self.names)
+        ]
+        self.which_cameras = {"front": 0, "back": 2, "left": 1, "right": 3}
+        self.caps = []
+
+        print("[INFO] 初始化摄像头...")
+        for name in self.names:
+            cap = cv2.VideoCapture(self.which_cameras[name], cv2.CAP_V4L2)
+            cap.set(cv2.CAP_PROP_FOURCC, cv2.VideoWriter_fourcc(*"YUYV"))
+            cap.set(cv2.CAP_PROP_FRAME_WIDTH, 1920)
+            cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 1080)
+            cap.set(cv2.CAP_PROP_BUFFERSIZE, 1)
+            if not cap.isOpened():
+                print(f"[ERROR] 无法打开 {name} 摄像头", file=sys.stderr)
+                self.running = False
+                return
+            self.caps.append(cap)
+
+        self.birdview = BirdView()
+        self._initialize_weights()
+
+        # 预警状态
+        self.alerts = {name: False for name in self.names}
+        self.alert_lock = threading.Lock()
+
+        # YOLO 模型
         try:
-            cmd = input().strip().lower()
-            if cmd == 's':
-                if frame is not None:
-                    filename = f"./images/{args.i.lower()}.png"
-                    cv2.imwrite(filename, frame) 
-                    print(f"[SSH] Saved: {os.path.abspath(filename)}")
-                else:
-                    print("[SSH] No frame available yet.")
-            elif cmd == 'q':
-                running = False
-                break
+            self.yolo_model = RKNN_model_container(YOLO_MODEL_PATH, target='rk3588')
+            self.co_helper = COCO_test_helper(enable_letter_box=True)
+            print("[INFO] YOLO 模型加载成功")
+        except Exception as e:
+            print(f"[ERROR] YOLO 模型加载失败: {e}")
+            self.yolo_model = None
+
+        # 共享缓冲区
+        self.undistorted_buffer = CameraFrameBuffer(self.names)
+        self.detection_buffer = DetectionResultBuffer(self.names)
+        self.shared_display_buffer = SharedFrameBuffer()  # 用于 MJPEG
+
+        # 当前视图控制
+        self.current_view = "front"
+        self.current_view_lock = threading.Lock()
+
+        # 启动摄像头线程
+        self.camera_threads = []
+        for cap, model, name in zip(self.caps, self.camera_models, self.names):
+            thread = threading.Thread(target=self.camera_reader_thread, args=(cap, model, name), daemon=True)
+            thread.start()
+            self.camera_threads.append(thread)
+
+        # 启动 AI 检测线程
+        if self.yolo_model is not None:
+            self.ai_thread = threading.Thread(target=self.ai_detection_thread, daemon=True)
+            self.ai_thread.start()
+        else:
+            self.ai_thread = None
+
+    def _initialize_weights(self):
+        try:
+            images = [os.path.join(os.getcwd(), "images", name + ".png") for name in self.names]
+            static_frames = []
+            for img_path, cam_model in zip(images, self.camera_models):
+                img = cv2.imread(img_path)
+                if img is None:
+                    img = np.zeros((1080, 1920, 3), dtype=np.uint8)
+                img = cam_model.undistort(img)
+                img = cam_model.project(img)
+                img = cam_model.flip(img)
+                static_frames.append(img)
+            if len(static_frames) == 4:
+                self.birdview.get_weights_and_masks(static_frames)
+                print("[INFO] 权重矩阵初始化成功")
+        except Exception as e:
+            print(f"[ERROR] 权重初始化失败: {e}")
+
+    def camera_reader_thread(self, cap, model, name):
+        """摄像头读取 + 去畸变线程"""
+        while self.running:
+            ret, frame = cap.read()
+            if ret:
+                undistorted = model.undistort(frame)
+                self.undistorted_buffer.update(name, undistorted)
             else:
-                print("[SSH] Unknown command. Use 's' or 'q'.")
-        except EOFError:
-            break
+                print(f"[WARN] {name} 摄像头读取失败")
+                break
+
+    def detect_persons(self, image):
+        if self.yolo_model is None:
+            return image, [], []
+        try:
+            orig_h, orig_w = image.shape[:2]
+            pad_color = (0, 0, 0)
+            img_preprocessed = self.co_helper.letter_box(
+                im=image.copy(),
+                new_shape=(IMG_SIZE[1], IMG_SIZE[0]),
+                pad_color=pad_color
+            )
+            outputs = self.yolo_model.run([np.expand_dims(img_preprocessed, 0)])
+            boxes, classes, scores = post_process(outputs, ANCHORS)
+            if boxes is not None:
+                real_boxes = self.co_helper.get_real_box(boxes)
+                person_boxes, person_scores = [], []
+                for i in range(len(real_boxes)):
+                    if classes[i] < len(CLASSES) and CLASSES[classes[i]] == "person":
+                        box = real_boxes[i].copy()
+                        box = np.clip(box, [0, 0, 0, 0], [orig_w, orig_h, orig_w, orig_h])
+                        person_boxes.append(box)
+                        person_scores.append(scores[i])
+                if person_boxes:
+                    image = draw_detections(image, np.array(person_boxes), np.array(person_scores), np.zeros(len(person_boxes), dtype=int))
+                return image, person_boxes, person_scores
+            else:
+                return image, [], []
+        except Exception as e:
+            print(f"[ERROR] YOLO检测失败: {e}")
+            return image, [], []
+
+    def ai_detection_thread(self):
+        detection_interval = 3
+        frame_count = 0
+        while self.running:
+            with self.current_view_lock:
+                view = self.current_view
+            success, frame = self.undistorted_buffer.get(view)
+            if success:
+                frame_count += 1
+                if frame_count % detection_interval == 0:
+                    img_with_det, boxes, scores = self.detect_persons(frame)
+                    self.detection_buffer.update(view, img_with_det, boxes, scores)
+                    with self.alert_lock:
+                        if boxes:
+                            self.alerts[view] = True
+                            for v in self.alerts:
+                                if v != view:
+                                    self.alerts[v] = False
+                        else:
+                            for v in self.alerts:
+                                self.alerts[v] = False
+                else:
+                    self.detection_buffer.update(view, frame, [], [])
+            time.sleep(0.001)
+
+    def overlay_alert(self, birdview_img):
+        h, w = birdview_img.shape[:2]
+        overlay = birdview_img.copy()
+        alpha = 0.2
+        red = (0, 0, 200)
+        margin_f_b = int(min(h, w) * 0.07)
+        margin_l_r = int(min(h, w) * 0.15)
+        with self.alert_lock:
+            alerts = self.alerts.copy()
+        if alerts["front"]: cv2.rectangle(overlay, (0, 0), (w, margin_f_b), red, -1)
+        if alerts["back"]: cv2.rectangle(overlay, (0, h - margin_f_b), (w, h), red, -1)
+        if alerts["left"]: cv2.rectangle(overlay, (0, 0), (margin_l_r, h), red, -1)
+        if alerts["right"]: cv2.rectangle(overlay, (w - margin_l_r, 0), (w, h), red, -1)
+        return cv2.addWeighted(birdview_img, 1 - alpha, overlay, alpha, 0)
+
+    def run(self):
+        h_display, w_display = 720, 1280
+        w_bird = w_display // 3
+        w_single = w_display - w_bird
+
+        while self.running:
+            # 1. 获取四路去畸变帧 → project → 拼接鸟瞰图
+            processed_frames = []
+            for name in self.names:
+                success, undist_frame = self.undistorted_buffer.get(name)
+                if success:
+                    # 使用 UMat 加速 warpPerspective
+                    uimg = cv2.UMat(undist_frame)
+                    uresult = cv2.warpPerspective(
+                        uimg,
+                        self.camera_models[self.names.index(name)].project_matrix,
+                        self.camera_models[self.names.index(name)].project_shape,
+                        flags=cv2.INTER_LINEAR,
+                        borderMode=cv2.BORDER_CONSTANT
+                    )
+                    p_frame = uresult.get()
+                    p_frame = self.camera_models[self.names.index(name)].flip(p_frame)
+                    processed_frames.append(p_frame)
+                else:
+                    processed_frames.append(np.zeros((600, 800, 3), dtype=np.uint8))
+
+            self.birdview.update_frames(processed_frames)
+            self.birdview.stitch_all_parts()
+            self.birdview.make_white_balance()
+            self.birdview.copy_car_image()
+
+            # 2. 获取当前视图的 AI 检测结果
+            with self.current_view_lock:
+                view = self.current_view
+            det_img, _, _ = self.detection_buffer.get(view)
+            if det_img is None:
+                det_img = np.zeros((h_display, w_single, 3), dtype=np.uint8)
+
+            # 3. 拼接显示
+            bird_resized = cv2.resize(self.overlay_alert(self.birdview.image), (w_bird, h_display))
+            single_resized = cv2.resize(det_img, (w_single, h_display))
+            display = np.hstack((bird_resized, single_resized))
+
+            self.shared_display_buffer.update(display)
+
+            cv2.namedWindow('Video', cv2.WND_PROP_FULLSCREEN)
+            cv2.setWindowProperty('Video', cv2.WND_PROP_FULLSCREEN, cv2.WINDOW_FULLSCREEN)
+            cv2.imshow("Video", display)
+
+            key = cv2.waitKey(1) & 0xFF
+            if key == ord('q'):
+                self.running = False
+            elif key == ord('1'):
+                with self.current_view_lock:
+                    self.current_view = "front"
+            elif key == ord('2'):
+                with self.current_view_lock:
+                    self.current_view = "back"
+            elif key == ord('3'):
+                with self.current_view_lock:
+                    self.current_view = "left"
+            elif key == ord('4'):
+                with self.current_view_lock:
+                    self.current_view = "right"
+            elif key == ord('0'):
+                with self.alert_lock:
+                    for k in self.alerts:
+                        self.alerts[k] = False
+
+        for cap in self.caps:
+            cap.release()
+        cv2.destroyAllWindows()
+
+
+# ========== 辅助类 ==========
+class SharedFrameBuffer:
+    def __init__(self):
+        self._frame = None
+        self._lock = threading.Lock()
+        self._has_frame = False
+
+    def update(self, frame: np.ndarray):
+        with self._lock:
+            self._frame = frame.copy()
+            self._has_frame = True
+
+    def get_frame(self):
+        with self._lock:
+            if self._has_frame and self._frame is not None:
+                return True, self._frame.copy()
+            else:
+                return False, None
+
+
+# ========== 主函数 ==========
+def main():
+    print("🚀 启动实时四路环视系统...")
+    multi_cam = MultiCameraBirdView()
+    if not multi_cam.running:
+        print("[ERROR] 摄像头初始化失败")
+        return
+
+    # 启动 MJPEG 流
+    try:
+        mjpeg_server = MJPEGServer(multi_cam.shared_display_buffer, host="0.0.0.0", port=8080)
+        mjpeg_server.start()
+        print("[INFO] MJPEG 流已启动: http://<IP>:8080")
+    except Exception as e:
+        print(f"[WARN] MJPEG 流启动失败: {e}")
+
+    multi_cam.run()
 
 if __name__ == "__main__":
-    # 获取用户参数启动
-    parser = argparse.ArgumentParser(description="Camera Parameter Loading Tool")
-
-    # 获取用户输入的摄像头方位 （front back left right）
-    parser.add_argument("--i", type=str, required=True, 
-                        choices=["front", "back", "left", "right"],
-                        help="Camera direction (front/back/left/right)")
-
-    args = parser.parse_args()
-
-    print("相机方位:", args.i)
-
-    if args.i == "front":
-        which_camera = 0
-    elif args.i == "back":
-        which_camera = 2
-    elif args.i == "left":
-        which_camera = 1
-    elif args.i == "right":
-        which_camera = 3
-    else:
-        print("[ERROR] Invalid camera direction. Use 'front', 'back', 'left', or 'right'.", file=sys.stderr)
-        running = False
-        exit(1)
-
-    # 检查YAML目录是否存在
-    yaml_dir = "yaml"
-    if not os.path.exists(yaml_dir):
-        print(f"[ERROR] YAML directory not found: {yaml_dir}", file=sys.stderr)
-        print("Please ensure YAML files are in the 'yaml' directory", file=sys.stderr)
-        exit(1)
-
-    # 启动视频线程
-    vt = threading.Thread(target=video_thread, daemon=True)
-    vt.start()
-
-    # 主线程监听 SSH 输入
-    input_thread()
-
-    print("[INFO] Exiting...")
\ No newline at end of file
+    main()
\ No newline at end of file
diff --git a/shared_buffer.py b/shared_buffer.py
new file mode 100644
index 0000000..de5c56f
--- /dev/null
+++ b/shared_buffer.py
@@ -0,0 +1,40 @@
+# shared_buffer.py
+import threading
+import numpy as np
+
+class CameraFrameBuffer:
+    """线程安全的摄像头帧缓冲区（去畸变后）"""
+    def __init__(self, cam_names):
+        self.frames = {name: None for name in cam_names}
+        self.locks = {name: threading.Lock() for name in cam_names}
+        self.updated = {name: False for name in cam_names}
+
+    def update(self, name, frame):
+        with self.locks[name]:
+            self.frames[name] = frame.copy()
+            self.updated[name] = True
+
+    def get(self, name):
+        with self.locks[name]:
+            if self.updated[name] and self.frames[name] is not None:
+                return True, self.frames[name].copy()
+            else:
+                return False, None
+
+
+class DetectionResultBuffer:
+    """线程安全的检测结果缓冲区"""
+    def __init__(self, cam_names):
+        self.results = {name: (None, [], []) for name in cam_names}  # (image, boxes, scores)
+        self.lock = threading.Lock()
+
+    def update(self, name, image, boxes, scores):
+        with self.lock:
+            self.results[name] = (image.copy() if image is not None else None, list(boxes), list(scores))
+
+    def get(self, name):
+        with self.lock:
+            img, boxes, scores = self.results[name]
+            if img is not None:
+                return img.copy(), list(boxes), list(scores)
+            return None, [], []
\ No newline at end of file
diff --git a/static/layui/css/layui.css b/static/layui/css/layui.css
new file mode 100644
index 0000000..64a4d10
--- /dev/null
+++ b/static/layui/css/layui.css
@@ -0,0 +1 @@
+blockquote,body,button,dd,div,dl,dt,form,h1,h2,h3,h4,h5,h6,input,li,ol,p,pre,td,textarea,th,ul{margin:0;padding:0;-webkit-tap-highlight-color:rgba(0,0,0,0)}a:active,a:hover{outline:0}img{display:inline-block;border:none;vertical-align:middle}li{list-style:none}table{border-collapse:collapse;border-spacing:0}h1,h2,h3,h4,h5,h6{font-weight:700}h5,h6{font-size:100%}button,input,select,textarea{font-size:100%}button,input,optgroup,option,select,textarea{font-family:inherit;font-size:inherit;font-style:inherit;font-weight:inherit;outline:0}pre{white-space:pre-wrap;word-wrap:break-word}body{line-height:1.6;color:rgba(0,0,0,.85);font-size:14px;font-family:-apple-system,Roboto,'PingFang SC','Helvetica Neue',Arial,sans-serif,'Apple Color Emoji','Segoe UI Emoji','Segoe UI Symbol','Noto Color Emoji'}hr{height:0;line-height:0;margin:10px 0;padding:0;border:none;border-bottom:1px solid #eee;clear:both;overflow:hidden;background:0 0}a{color:#333;text-decoration:none}a cite{font-style:normal}.layui-border-box,.layui-border-box *{box-sizing:border-box}.layui-box,.layui-box *{box-sizing:content-box}.layui-clear{clear:both}.layui-clear:after{content:'\20';clear:both;display:block;height:0}.layui-clear-space{word-spacing:-5px}.layui-inline{position:relative;display:inline-block;vertical-align:middle}.layui-edge{position:relative;display:inline-block;vertical-align:middle;width:0;height:0;border-width:6px;border-style:dashed;border-color:transparent;overflow:hidden}.layui-edge-top{top:-4px;border-bottom-color:#999;border-bottom-style:solid}.layui-edge-right{border-left-color:#999;border-left-style:solid}.layui-edge-bottom{top:2px;border-top-color:#999;border-top-style:solid}.layui-edge-left{border-right-color:#999;border-right-style:solid}.layui-elip,.layui-ellip{text-overflow:ellipsis;overflow:hidden;white-space:nowrap}.layui-disabled,.layui-icon,.layui-unselect{-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none}.layui-disabled,.layui-disabled:hover{color:#d2d2d2!important;cursor:not-allowed!important}.layui-circle{border-radius:100%}.layui-show{display:block!important}.layui-hide{display:none!important}.layui-show-v{visibility:visible!important}.layui-hide-v{visibility:hidden!important}@font-face{font-family:layui-icon;src:url(../font/iconfont.eot?v=293);src:url(../font/iconfont.eot?v=293#iefix) 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diff --git a/static/layui/font/iconfont.svg b/static/layui/font/iconfont.svg
new file mode 100644
index 0000000..8fa5fb0
--- /dev/null
+++ b/static/layui/font/iconfont.svg
@@ -0,0 +1,409 @@
+<?xml version="1.0" standalone="no"?>
+<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd" >
+<svg xmlns="http://www.w3.org/2000/svg">
+  <metadata>Created by iconfont</metadata>
+  <defs>
+  <font id="layui-icon" horiz-adv-x="1024">
+    <font-face
+      font-family="layui-icon"
+      font-weight="400"
+      font-stretch="normal"
+      units-per-em="1024"
+      ascent="896"
+      descent="-128"
+    />
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diff --git a/static/layui/layui.js b/static/layui/layui.js
new file mode 100644
index 0000000..dd42126
--- /dev/null
+++ b/static/layui/layui.js
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t=l+("vertical"===c.type?s-e.clientY:e.clientX-s),t=(t=(t=t<0?0:t)>p()?p():t)/p()*100/v;h(t,o),r.addClass(S.ELEM_HOVER),d.find("."+S.SLIDER_TIPS).show(),e.preventDefault()},a=function(e){r.removeClass(S.ELEM_HOVER),c.tipsAlways||setTimeout(function(){d.find("."+S.SLIDER_TIPS).hide()},e)},n=function(){a&&a(I.touchEventsSupported()?1e3:0),T.remove(),c.done&&c.done(u.value),I.touchEventsSupported()&&(t[0].removeEventListener("touchmove",i,!!I.passiveSupported&&{passive:!1}),t[0].removeEventListener("touchend",n),t[0].removeEventListener("touchcancel",n))},E("#LAY-slider-moving")[0]||E("body").append(T),T.on("mousemove",i),T.on("mouseup",n).on("mouseleave",n),I.touchEventsSupported()&&(t[0].addEventListener("touchmove",i,!!I.passiveSupported&&{passive:!1}),t[0].addEventListener("touchend",n),t[0].addEventListener("touchcancel",n))})}),d.on("click",function(e){var t=E("."+S.SLIDER_WRAP_BTN),i=E(this);!t.is(e.target)&&0===t.has(e.target).length&&t.length&&(i=(t=(t=(t="vertical"===c.type?p()-e.clientY+i.offset().top-E(window).scrollTop():e.clientX-i.offset().left-E(window).scrollLeft())<0?0:t)>p()?p():t)/p()*100/v,t=c.range?"vertical"===c.type?Math.abs(t-parseInt(E(m[0]).css("bottom")))>Math.abs(t-parseInt(E(m[1]).css("bottom")))?1:0:Math.abs(t-m[0].offsetLeft)>Math.abs(t-m[1].offsetLeft)?1:0:0,h(i,t,"done"),e.preventDefault())}),o.children("."+S.SLIDER_INPUT_BTN).children("i").each(function(t){E(this).on("click",function(){r=o.children("."+S.SLIDER_INPUT_TXT).children("input").val();var e=((r=1==t?r-c.step<c.min?c.min:Number(r)-c.step:Number(r)+c.step>c.max?c.max:Number(r)+c.step)-c.min)/(c.max-c.min)*100/v;h(e,0,"done")})});var a=function(){var e=this.value,e=(e=(e=(e=isNaN(e)?0:e)<c.min?c.min:e)>c.max?c.max:e,((this.value=e)-c.min)/(c.max-c.min)*100/v);h(e,0,"done")};o.children("."+S.SLIDER_INPUT_TXT).children("input").on("keydown",function(e){13===e.keyCode&&(e.preventDefault(),a.call(this))}).on("change",a)},e(S.MOD_NAME,t)});layui.define(["i18n","component"],function(e){"use strict";var P=layui.$,I=layui.lay,t=layui.i18n,i=layui.device().mobile?"click":"mousedown",o=layui.component({name:"colorpicker",config:{color:"",size:null,alpha:!1,format:"hex",predefine:!1,colors:["#16baaa","#16b777","#1E9FFF","#FF5722","#FFB800","#01AAED","#999","#c00","#ff8c00","#ffd700","#90ee90","#00ced1","#1e90ff","#c71585","#393D49","rgb(0, 186, 189)","rgb(255, 120, 0)","rgb(250, 212, 0)","rgba(0,0,0,.5)","rgba(255, 69, 0, 0.68)","rgba(144, 240, 144, 0.5)","rgba(31, 147, 255, 0.73)"]},CONST:{ELEM:"layui-colorpicker",ELEM_MAIN:".layui-colorpicker-main",ICON_PICKER_DOWN:"layui-icon-down",ICON_PICKER_CLOSE:"layui-icon-close",PICKER_TRIG_SPAN:"layui-colorpicker-trigger-span",PICKER_TRIG_I:"layui-colorpicker-trigger-i",PICKER_SIDE:"layui-colorpicker-side",PICKER_SIDE_SLIDER:"layui-colorpicker-side-slider",PICKER_BASIS:"layui-colorpicker-basis",PICKER_ALPHA_BG:"layui-colorpicker-alpha-bgcolor",PICKER_ALPHA_SLIDER:"layui-colorpicker-alpha-slider",PICKER_BASIS_CUR:"layui-colorpicker-basis-cursor",PICKER_INPUT:"layui-colorpicker-main-input"},beforeInit:function(){this.stopClickOutsideEvent=P.noop,this.stopResizeEvent=P.noop,S.PICKER_OPENED=S.MOD_ID+"-opened"},beforeRender:function(){this.config.target=P("body")},render:function(){var e=this,i=e.config,o=P(e.buildColorBoxTemplate(i)),t=i.elem;i.size&&o.addClass("layui-colorpicker-"+i.size),t.addClass("layui-inline").html(e.elemColorBox=o),e.color=e.elemColorBox.find("."+S.PICKER_TRIG_SPAN)[0].style.background}}),k=function(e){var i={h:0,s:0,b:0},o=Math.min(e.r,e.g,e.b),t=Math.max(e.r,e.g,e.b),r=t-o;return i.b=t,i.s=0!==t?255*r/t:0,0!==i.s?e.r==t?i.h=(e.g-e.b)/r:e.g==t?i.h=2+(e.b-e.r)/r:i.h=4+(e.r-e.g)/r:i.h=-1,t===o&&(i.h=0),i.h*=60,i.h<0&&(i.h+=360),i.s*=100/255,i.b*=100/255,i},E=function(e){var i,o={},t=e.h,r=255*e.s/100,e=255*e.b/100;return 0==r?o.r=o.g=o.b=e:(e=t%60*((i=e)-(r=(255-r)*e/255))/60,(t=360===t?0:t)<60?(o.r=i,o.b=r,o.g=r+e):t<120?(o.g=i,o.b=r,o.r=i-e):t<180?(o.g=i,o.r=r,o.b=r+e):t<240?(o.b=i,o.r=r,o.g=i-e):t<300?(o.b=i,o.g=r,o.r=r+e):t<360?(o.r=i,o.g=r,o.b=i-e):(o.r=0,o.g=0,o.b=0)),{r:Math.round(o.r),g:Math.round(o.g),b:Math.round(o.b)}},_=function(e){var e=E(e),o=[e.r.toString(16),e.g.toString(16),e.b.toString(16)];return P.each(o,function(e,i){1===i.length&&(o[e]="0"+i)}),o.join("")},R=function(e){e=e.match(/[0-9]{1,3}/g)||[];return{r:e[0],g:e[1],b:e[2]}},K=P(window),S=o.CONST,r=o.Class;r.prototype.buildColorBoxTemplate=function(e){var i;return['<div class="layui-unselect layui-colorpicker">',"  <span "+("rgb"==e.format&&e.alpha?'class="layui-colorpicker-trigger-bgcolor"':"")+">",'    <span class="layui-colorpicker-trigger-span"','          lay-type="'+("rgb"==e.format?e.alpha?"rgba":"torgb":"")+'"','          style="'+(i="",e.color?(i=e.color,3<(e.color.match(/[0-9]{1,3}/g)||[]).length&&(e.alpha&&"rgb"==e.format||(i="#"+_(k(R(e.color))))),"background: "+i):i)+'">','      <i class="layui-icon layui-colorpicker-trigger-i '+(e.color?S.ICON_PICKER_DOWN:S.ICON_PICKER_CLOSE)+'"></i>',"    </span>","  </span>","</div>"].join("")},r.prototype.buildColorPickerTemplate=function(e,i){var o;return['<div id="layui-colorpicker'+i.index+'" data-index="'+i.index+'" class="layui-anim layui-anim-downbit layui-colorpicker-main">','  <div class="layui-colorpicker-main-wrapper">','    <div class="layui-colorpicker-basis">','      <div class="layui-colorpicker-basis-white"></div>','      <div class="layui-colorpicker-basis-black"></div>','      <div class="layui-colorpicker-basis-cursor"></div>',"    </div>",'    <div class="layui-colorpicker-side">','      <div class="layui-colorpicker-side-slider"></div>',"    </div>","  </div>",'  <div class="layui-colorpicker-main-alpha '+(e.alpha?S.CLASS_SHOW:"")+'">','    <div class="layui-colorpicker-alpha-bgcolor">','      <div class="layui-colorpicker-alpha-slider"></div>',"    </div>","  </div>",e.predefine?(o=['<div class="layui-colorpicker-main-pre">'],layui.each(e.colors,function(e,i){o.push(['<div class="layui-colorpicker-pre'+(3<(i.match(/[0-9]{1,3}/g)||[]).length?" layui-colorpicker-pre-isalpha":"")+'">','  <div style="background:'+i+'"></div>',"</div>"].join(""))}),o.push("</div>"),o.join("")):"",'  <div class="layui-colorpicker-main-input">','    <div class="layui-inline">','      <input type="text" class="layui-input">',"    </div>",'    <div class="layui-btn-group">','      <button style="border-radius: 0" class="layui-btn layui-btn-primary layui-btn-sm" colorpicker-events="clear">'+t.$t("colorpicker.clear")+"</button>",'      <button style="border-radius: 0; border-left: 0" class="layui-btn layui-btn-primary layui-btn-sm" colorpicker-events="confirm">'+t.$t("colorpicker.confirm")+"</button>","    </div>","  </div>","</div>"].join("")},r.prototype.renderPicker=function(){var e=this,i=e.config,o=e.elemPicker=P(e.buildColorPickerTemplate(i,e));e.removePicker(i.id),i.target.append(o),i.elem.data(S.PICKER_OPENED,!0),e.position(),e.pickerEvents(),e.onClickOutside(),e.autoUpdatePosition()},r.prototype.removePicker=function(e){var i=this,o=i.config,e=P("#layui-colorpicker"+(e||i.index));return i.stopClickOutsideEvent(),i.stopResizeEvent(),e[0]&&(e.remove(),o.elem.removeData(S.PICKER_OPENED),"function"==typeof o.close)&&o.close(i.color),i},r.prototype.position=function(){var e=this,i=e.config;return I.position(e.bindElem||e.elemColorBox[0],e.elemPicker[0],{position:i.position,align:"center"}),e},r.prototype.val=function(){var e,i=this,o=i.elemColorBox.find("."+S.PICKER_TRIG_SPAN),t=i.elemPicker.find("."+S.PICKER_INPUT),r=o[0].style.backgroundColor;r?(e=k(R(r)),o=o.attr("lay-type"),i.select(e.h,e.s,e.b),"torgb"===o?t.find("input").val(r):"rgba"===o?(o=R(r),3===(r.match(/[0-9]{1,3}/g)||[]).length?(t.find("input").val("rgba("+o.r+", "+o.g+", "+o.b+", 1)"),i.elemPicker.find("."+S.PICKER_ALPHA_SLIDER).css("left",280)):(t.find("input").val(r),r=280*r.slice(r.lastIndexOf(",")+1,r.length-1),i.elemPicker.find("."+S.PICKER_ALPHA_SLIDER).css("left",r)),i.elemPicker.find("."+S.PICKER_ALPHA_BG)[0].style.background="linear-gradient(to right, rgba("+o.r+", "+o.g+", "+o.b+", 0), rgb("+o.r+", "+o.g+", "+o.b+"))"):t.find("input").val("#"+_(e))):(i.select(0,100,100),t.find("input").val(""),i.elemPicker.find("."+S.PICKER_ALPHA_BG)[0].style.background="",i.elemPicker.find("."+S.PICKER_ALPHA_SLIDER).css("left",280))},r.prototype.side=function(){var n=this,l=n.config,c=n.elemColorBox.find("."+S.PICKER_TRIG_SPAN),a=c.attr("lay-type"),s=n.elemPicker.find("."+S.PICKER_SIDE),o=n.elemPicker.find("."+S.PICKER_SIDE_SLIDER),u=n.elemPicker.find("."+S.PICKER_BASIS),t=n.elemPicker.find("."+S.PICKER_BASIS_CUR),d=n.elemPicker.find("."+S.PICKER_ALPHA_BG),f=n.elemPicker.find("."+S.PICKER_ALPHA_SLIDER),p=o[0].offsetTop/180*360,g=100-t[0].offsetTop/180*100,v=t[0].offsetLeft/260*100,h=Math.round(f[0].offsetLeft/280*100)/100,m=n.elemColorBox.find("."+S.PICKER_TRIG_I),e=n.elemPicker.find(".layui-colorpicker-pre").children("div"),b=function(e,i,o,t){n.select(e,i,o);var r=E({h:e,s:i,b:o}),e=_({h:e,s:i,b:o}),i=n.elemPicker.find("."+S.PICKER_INPUT).find("input");m.addClass(S.ICON_PICKER_DOWN).removeClass(S.ICON_PICKER_CLOSE),c[0].style.background="rgb("+r.r+", "+r.g+", "+r.b+")","torgb"===a?i.val("rgb("+r.r+", "+r.g+", "+r.b+")"):"rgba"===a?(f.css("left",280*t),i.val("rgba("+r.r+", "+r.g+", "+r.b+", "+t+")"),c[0].style.background="rgba("+r.r+", "+r.g+", "+r.b+", "+t+")",d[0].style.background="linear-gradient(to right, rgba("+r.r+", "+r.g+", "+r.b+", 0), rgb("+r.r+", "+r.g+", "+r.b+"))"):i.val("#"+e),l.change&&l.change(P.trim(n.elemPicker.find("."+S.PICKER_INPUT).find("input").val()))},i=P('<div class="layui-auxiliar-moving" id="LAY-colorpicker-moving"></div>'),y=function(e){P("#LAY-colorpicker-moving")[0]||P("body").append(i),i.on("mousemove",e),i.on("mouseup",function(){i.remove()}).on("mouseleave",function(){i.remove()})},r=!0,C=!0;o.on("mousedown",function(e,i){var t=this.offsetTop,r=(e.clientY===undefined?i:e).clientY;C&&layui.stope(e),y(function(e){var i=t+(e.clientY-r),o=s[0].offsetHeight,o=(i=o<(i=i<0?0:i)?o:i)/180*360;b(p=o,v,g,h),e.preventDefault()}),e.preventDefault()}),s.on("mousedown",function(e){var i=e.clientY-P(this).offset().top+K.scrollTop(),i=(i=(i=i<0?0:i)>this.offsetHeight?this.offsetHeight:i)/180*360;b(p=i,v,g,h),e.preventDefault(),r&&o.trigger("mousedown",e)}),t.on("mousedown",function(e,i){var n=this.offsetTop,l=this.offsetLeft,c=(e.clientY===undefined?i:e).clientY,a=(e.clientX===undefined?i:e).clientX;C&&layui.stope(e),y(function(e){var i=n+(e.clientY-c),o=l+(e.clientX-a),t=u[0].offsetHeight,r=u[0].offsetWidth,r=(o=r<(o=o<0?0:o)?r:o)/260*100,o=100-(i=t<(i=i<0?0:i)?t:i)/180*100;b(p,v=r,g=o,h),e.preventDefault()}),e.preventDefault()}),u.on("mousedown",function(e){var i=e.clientY-P(this).offset().top+K.scrollTop(),o=e.clientX-P(this).offset().left+K.scrollLeft(),o=((i=i<0?0:i)>this.offsetHeight&&(i=this.offsetHeight),(o=(o=o<0?0:o)>this.offsetWidth?this.offsetWidth:o)/260*100),i=100-i/180*100;b(p,v=o,g=i,h),layui.stope(e),e.preventDefault(),r&&t.trigger("mousedown",e)}),f.on("mousedown",function(e,i){var t=this.offsetLeft,r=(e.clientX===undefined?i:e).clientX;C&&layui.stope(e),y(function(e){var i=t+(e.clientX-r),o=d[0].offsetWidth,o=(o<(i=i<0?0:i)&&(i=o),Math.round(i/280*100)/100);b(p,v,g,h=o),e.preventDefault()}),e.preventDefault()}),d.on("mousedown",function(e){var i=e.clientX-P(this).offset().left,i=((i=i<0?0:i)>this.offsetWidth&&(i=this.offsetWidth),Math.round(i/280*100)/100);b(p,v,g,h=i),e.preventDefault(),r&&f.trigger("mousedown",e)}),e.each(function(){P(this).on("click",function(){P(this).parent(".layui-colorpicker-pre").addClass("selected").siblings().removeClass("selected");var e=this.style.backgroundColor,i=k(R(e)),o=e.slice(e.lastIndexOf(",")+1,e.length-1);p=i.h,v=i.s,g=i.b,3===(e.match(/[0-9]{1,3}/g)||[]).length&&(o=1),h=o,b(i.h,i.s,i.b,o)})}),I.touchEventsSupported()&&layui.each([{elem:s,eventType:"mousedown"},{elem:d,eventType:"mousedown"},{elem:u,eventType:"mousedown"}],function(e,t){I.touchSwipe(t.elem,{onTouchStart:function(){C=r=!1},onTouchMove:function(e){var i,o;e=e,i=t.eventType,e=e.touches[0],(o=document.createEvent("MouseEvent")).initMouseEvent(i,!0,!0,window,1,e.screenX,e.screenY,e.clientX,e.clientY,!1,!1,!1,!1,0,null),e.target.dispatchEvent(o)},onTouchEnd:function(){i.remove(),C=r=!0}})})},r.prototype.select=function(e,i,o,t){var r=_({h:e,s:100,b:100}),e=e/360*180,o=180-o/100*180,i=i/100*260,n=this.elemPicker.find("."+S.PICKER_BASIS)[0];this.elemPicker.find("."+S.PICKER_SIDE_SLIDER).css("top",e),n.style.background="#"+r,this.elemPicker.find("."+S.PICKER_BASIS_CUR).css({top:o/n.offsetHeight*100+"%",left:i/n.offsetWidth*100+"%"})},r.prototype.pickerEvents=function(){var c=this,a=c.config,s=c.elemColorBox.find("."+S.PICKER_TRIG_SPAN),u=c.elemPicker.find("."+S.PICKER_INPUT+" input"),o={clear:function(e){s[0].style.background="",c.elemColorBox.find("."+S.PICKER_TRIG_I).removeClass(S.ICON_PICKER_DOWN).addClass(S.ICON_PICKER_CLOSE),c.color="",a.done&&a.done(""),c.removePicker()},confirm:function(e,i){var o,t,r,n,l=P.trim(u.val());-1<l.indexOf(",")?(t=k(R(l)),c.select(t.h,t.s,t.b),s[0].style.background=o="#"+_(t),3<(l.match(/[0-9]{1,3}/g)||[]).length&&"rgba"===s.attr("lay-type")&&(r=280*l.slice(l.lastIndexOf(",")+1,l.length-1),c.elemPicker.find("."+S.PICKER_ALPHA_SLIDER).css("left",r),o=s[0].style.background=l)):(3===(r=-1<(r=l).indexOf("#")?r.substring(1):r).length&&(r=(n=r.split(""))[0]+n[0]+n[1]+n[1]+n[2]+n[2]),n={r:(r=parseInt(r,16))>>16,g:(65280&r)>>8,b:255&r},t=k(n),s[0].style.background=o="#"+_(t),c.elemColorBox.find("."+S.PICKER_TRIG_I).removeClass(S.ICON_PICKER_CLOSE).addClass(S.ICON_PICKER_DOWN)),"change"===i?(c.select(t.h,t.s,t.b,i),a.change&&a.change(o)):(c.color=l,a.done&&a.done(l),c.removePicker())}};c.elemPicker.on("click","*[colorpicker-events]",function(){var e=P(this),i=e.attr("colorpicker-events");o[i]&&o[i].call(this,e)}),u.on("keyup",function(e){var i=P(this);o.confirm.call(this,i,13===e.keyCode?null:"change")})},r.prototype.events=function(){var e=this,i=e.config;e.elemColorBox.on("click",function(){i.elem.data(S.PICKER_OPENED)?e.removePicker():(e.renderPicker(),e.val(),e.side())})},r.prototype.onClickOutside=function(){var t=this,r=t.config,e=(t.stopClickOutsideEvent(),I.onClickOutside(t.elemPicker[0],function(e){var i,o=t.elemColorBox.find("."+S.PICKER_TRIG_SPAN);t.color?(i=k(R(t.color)),t.select(i.h,i.s,i.b)):t.elemColorBox.find("."+S.PICKER_TRIG_I).removeClass(S.ICON_PICKER_DOWN).addClass(S.ICON_PICKER_CLOSE),o[0].style.background=t.color||"","function"==typeof r.cancel&&r.cancel(t.color),t.removePicker()},{ignore:[r.elem[0]],event:i,capture:!1}));t.stopClickOutsideEvent=function(){e(),t.stopClickOutsideEvent=P.noop}},r.prototype.autoUpdatePosition=function(){var e=this,i="resize.lay_colorpicker_resize",o=(e.stopResizeEvent(),function(){e.position()});K.on(i,o),e.stopResizeEvent=function(){K.off(i,o),e.stopResizeEvent=P.noop}},e(S.MOD_NAME,o)});layui.define("component",function(e){"use strict";var d=layui.$,s="element",t=layui.component({name:"tab",config:{elem:".layui-tab"},CONST:{ELEM:"layui-tab",HEADER:"layui-tab-title",CLOSE:"layui-tab-close",MORE:"layui-tab-more",BAR:"layui-tab-bar"},render:function(){var e=this.config;o.tabAuto(null,e.elem)}}),u=t.CONST,a=d(window),i=d(document),o={tabClick:function(e){var t=(e=e||{}).options||{},a=e.liElem||d(this),i=t.headerElem?a.parent():a.parents(".layui-tab").eq(0),t=t.bodyElem?d(t.bodyElem):i.children(".layui-tab-content").children(".layui-tab-item"),l=a.find("a"),l="javascript:;"!==l.attr("href")&&"_blank"===l.attr("target"),n="string"==typeof a.attr("lay-unselect"),r=i.attr("lay-filter"),c=a.attr("lay-id"),o="index"in e?e.index:a.parent().children("li").index(a);if(!e.force){var e=a.siblings("."+u.CLASS_THIS);if(!1===layui.event.call(this,s,"tabBeforeChange("+r+")",{elem:i,from:{index:a.parent().children("li").index(e),id:e.attr("lay-id")},to:{index:o,id:c}}))return}l||n||(a.addClass(u.CLASS_THIS).siblings().removeClass(u.CLASS_THIS),(c?e=(e=t.filter('[lay-id="'+c+'"]')).length?e:t.eq(o):t.eq(o)).addClass(u.CLASS_SHOW).siblings().removeClass(u.CLASS_SHOW)),layui.event.call(this,s,"tab("+r+")",{elem:i,index:o,id:c})},tabDelete:function(e){var t=(e=e||{}).liElem||d(this).parent(),a=t.parent().children("li").index(t),i=t.closest(".layui-tab"),l=i.children(".layui-tab-content").children(".layui-tab-item"),n=i.attr("lay-filter"),r=t.attr("lay-id");if(!e.force&&!1===layui.event.call(t[0],s,"tabBeforeDelete("+n+")",{elem:i,index:a,id:r}))return;t.hasClass(u.CLASS_THIS)&&(t.next()[0]&&t.next().is("li")?o.tabClick.call(t.next()[0],{index:a+1}):t.prev()[0]&&t.prev().is("li")&&o.tabClick.call(t.prev()[0],null,a-1)),t.remove(),(r?e=(e=l.filter('[lay-id="'+r+'"]')).length?e:l.eq(a):l.eq(a)).remove(),setTimeout(function(){o.tabAuto(null,i)},50),layui.event.call(this,s,"tabDelete("+n+")",{elem:i,index:a,id:r})},tabAuto:function(l,e){(e||d(".layui-tab")).each(function(){var e=d(this),a=e.children("."+u.HEADER),t='lay-stope="tabmore"',t=d('<span class="layui-unselect '+u.BAR+'" '+t+"><i "+t+' class="layui-icon">&#xe61a;</i></span>'),i=e.attr("lay-allowclose");i&&"false"!==i&&a.find("li").each(function(){var 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i=[],r=[],d=[],c=e+u.limit*(n-1)+1;if("object"!=typeof o){a[e]=o={LAY_KEY:o};try{w.cache[s.key][e]=o}catch(t){}}"array"===layui.type(o)&&0===o.length||(o[w.config.numbersName]=c,o[w.config.indexName]=e,l||(o[w.config.initIndexName]=e),s.eachCols(function(e,l){var t,e=l.field||e,a=l.key,n=o[e];n!==undefined&&null!==n||(n=""),l.colGroup||(e=['<td data-field="'+e+'" data-key="'+a+'" '+(e=[],(t="function"==typeof l.edit?l.edit(o):l.edit)&&e.push('data-edit="'+t+'"'),l.templet&&e.push('data-content="'+v.escape(n)+'"'),l.toolbar&&e.push('data-off="true"'),l.event&&e.push('lay-event="'+l.event+'"'),l.minWidth&&e.push('data-minwidth="'+l.minWidth+'"'),l.maxWidth&&e.push('data-maxwidth="'+l.maxWidth+'"'),l.style&&e.push('style="'+l.style+'"'),e.join(" "))+' class="'+(t=[],l.hide&&t.push(_),l.field||t.push(S),t.join(" "))+'">','<div class="layui-table-cell laytable-cell-'+("normal"===l.type?a:a+" laytable-cell-"+l.type)+'"'+(l.align?' align="'+l.align+'"':"")+">"+function(){var e,t=f.extend(!0,{LAY_COL:l},o),a=w.config.checkName,i=w.config.disabledName;switch(l.type){case"checkbox":return'<input type="checkbox" name="layTableCheckbox" lay-skin="primary" '+(e=[],l[a]&&(o[a]=l[a],l[a])&&(e[0]="checked"),t[a]&&(e[0]="checked"),t[i]&&e.push("disabled"),e.join(" "))+' lay-type="layTableCheckbox">';case"radio":return'<input type="radio" name="layTableRadio_'+u.index+'" '+(e=[],t[a]&&(e[0]="checked"),t[i]&&e.push("disabled"),e.join(" "))+' lay-type="layTableRadio">';case"numbers":return c}return l.toolbar?m(f(l.toolbar).html()||"").render(t):T.call(s,{item3:l,content:n,tplData:t})}(),"</div></td>"].join(""),i.push(e),l.fixed&&"right"!==l.fixed&&r.push(e),"right"===l.fixed&&d.push(e))}),e=['data-index="'+e+'"'],o[w.config.checkName]&&e.push('class="'+H+'"'),e=e.join(" "),h.push("<tr "+e+">"+i.join("")+"</tr>"),y.push("<tr "+e+">"+r.join("")+"</tr>"),p.push("<tr "+e+">"+d.join("")+"</tr>"))}),{trs:h,trs_fixed:y,trs_fixed_r:p}},w.getTrHtml=function(e,t){e=C(e);return e.getTrHtml(t,null,e.page)},a.prototype.renderData=function(e){var a=this,i=a.config,t=e.res,l=e.curr,n=a.count=e.count,o=e.sort,r=t[i.response.dataName]||[],t=t[i.response.totalRowName],d=[],c=[],s=[],u=function(){if(!o&&a.sortKey)return a.sort({field:a.sortKey.field,type:a.sortKey.sort,pull:!0,reloadType:e.type});a.getTrHtml(r,o,l,{trs:d,trs_fixed:c,trs_fixed_r:s}),"fixed"===i.scrollPos&&"reloadData"===e.type||a.layBody.scrollTop(0),"reset"===i.scrollPos&&a.layBody.scrollLeft(0),a.layMain.find("."+y).remove(),a.layMain.find("tbody").html(d.join("")),a.layFixLeft.find("tbody").html(c.join("")),a.layFixRight.find("tbody").html(s.join("")),a.syncCheckAll(),a.renderForm(),a.fullSize(),a.haveInit?a.scrollPatch():setTimeout(function(){a.scrollPatch()},50),a.haveInit=!0,a.needSyncFixedRowHeight&&a.calcFixedRowHeight(),g.close(a.tipsIndex)};return 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n=this,i=n.getOptions(),l=i.tree,d=i.id,r=i.elem.next(),o=(e.length?e:r).find(".laytable-cell-radio, .laytable-cell-checkbox").children("input").last(),i="radio"===o.attr("type");if(a){a=function(){var e=function(e){layui.stope(e)};o.parent().on("click",e),o.next().click(),o.parent().off("click",e)};i?t&&!o.prop("checked")&&a():"boolean"===layui.type(t)&&o.prop("checked")===t||a()}else{var c,a=n.getNodeDataByIndex(e.attr("data-index")),u=B.config.checkName;if(!i)return t="boolean"===layui.type(t)?t:!a[u],i=n.updateStatus(a?[a]:B.cache[d],function(e){e[B.config.disabledName]||(e[u]=t,e[g]=!1)},a&&-1!==["parent","none"].indexOf(l.data.cascade)),d=r.find(i.map(function(e){return'tr[lay-data-index="'+e[H]+'"] input[name="layTableCheckbox"]:not(:disabled)'}).join(",")),n.setRowCheckedClass(d.closest("tr"),t),d.prop({checked:t,indeterminate:!1}),a&&a[f]&&(c=n.getNodeDataByIndex(a[f])),n.updateCheckStatus(c,t);a&&(n.updateStatus(null,function(e){var t;e[u]&&(t=r.find('tr[lay-data-index="'+e[H]+'"] input[type="radio"][lay-type="layTableRadio"]'),e[u]=!1,n.setRowCheckedClass(t.closest("tr"),!1),t.prop("checked",!1))}),a[u]=t,n.setRowCheckedClass(e,t),n.setRowCheckedClass(e.siblings(),!1),e.find('input[type="radio"][lay-type="layTableRadio"]').prop("checked",t))}});j.on("checkbox",function(e){var t=e.config,a=t.elem.next(),t=t.id;a.hasClass(m)&&(a=F(t),t=e.checked,o(e),e.isAll=u.call(a,e.tr,t))}),j.setRowChecked=function(a,e){var t,n,i,l,d,r,o,c=F(a);c&&(t=c.getOptions().elem.next(),i=(e=e||{}).index,n=e.checked,e=e.callbackFlag,i="string"===layui.type(i)?i:i[H],r=c.getNodeDataByIndex(i))&&(l=function(e){o.push(e),t.find('tr[lay-data-index="'+e+'"]').length||(e=c.getNodeDataByIndex(e)[f])&&l(e)},(d=t.find('tr[lay-data-index="'+i+'"]')).length||(r=r[f],o=[],l(r),layui.each(o.reverse(),function(e,t){j.expandNode(a,{index:t,expandFlag:!0})}),d=t.find('tr[lay-data-index="'+i+'"]')),u.call(c,d,n,e))},j.checkAllNodes=function(e,t){var a,e=F(e);e&&(a=e.getOptions().elem.next(),u.call(e,a.find('tr[data-index="NONE"]'),!!t))},j.getData=function(e,t){var a,n=F(e);if(n)return a=[],layui.each(P.extend(!0,[],B.cache[e]||[]),function(e,t){a.push(t)}),t?n.treeToFlat(a):a},j.reloadAsyncNode=function(a,e){var t,n,i=F(a);i&&(t=i.getOptions().tree)["async"]&&t["async"].enable&&(n=i.getNodeDataByIndex(e))&&(n[V]=!1,n[X]=!1,n[U]=!1,layui.each(i.treeToFlat(n[t.customName.children]).reverse(),function(e,t){j.removeNode(a,t[H],!0)}),j.expandNode(a,{index:e,expandFlag:!0,callbackFlag:!0}))},j.getNodeById=function(e,t){e=F(e);if(e)return e.getNodeById(t)},j.getNodesByFilter=function(e,t,a){var n,i,l,d=F(e);if(d)return i=d.getOptions(),n=(a=a||{}).isSingle,a=(a=a.parentNode)&&a.data,i=d.treeToFlat(a?a[i.tree.customName.children]||[]:B.cache[e]).filter(t),l=[],layui.each(i,function(e,t){if(l.push(d.getNodeByIndex(t[H])),n)return!0}),l},i.that={},j.reload=function(e,t,a,n){e=F(e);if(e)return e.reload(t,a,n),i.call(e)},j.render=function(e){e=new a(e);return i.call(e)},e("treeTable",j)});layui.define("component",function(e){"use strict";var p=layui.$,C=layui.component({name:"tabs",config:{elem:".layui-tabs",trigger:"click",headerMode:"auto"},CONST:{ELEM:"layui-tabs",HEADER:"layui-tabs-header",CLOSE:"layui-tabs-close",BODY:"layui-tabs-body",ITEM:"layui-tabs-item",CARD:"layui-tabs-card"},render:function(){var a,i,n=this,t=n.config,e=(n.headerElem=["."+C.CONST.HEADER+":eq(0)",">li"],n.bodyElem=["."+C.CONST.BODY+":eq(0)",">."+C.CONST.ITEM],n.getContainer=function(){var e=n.documentElem||t.elem;return{header:{elem:e.find(n.headerElem[0]),items:e.find(n.headerElem.join(""))},body:{elem:e.find(n.bodyElem[0]),items:e.find(n.bodyElem.join(""))}}},"array"===layui.type(t.header)?"string"==typeof t.header[0]?(n.headerElem=t.header.concat(),n.documentElem=p(document)):(n.elemView=p('<div class="layui-tabs"></div>'),t.className&&n.elemView.addClass(t.className),a=p('<ul class="layui-tabs-header"></ul>'),i=p('<div class="layui-tabs-body"></div>'),layui.each(t.header,function(e,t){t=n.renderHeaderItem(t);a.append(t)}),layui.each(t.body,function(e,t){t=n.renderBodyItem(t);i.append(t)}),n.elemView.append(a).append(i),t.elem.html(n.elemView)):n.renderClose(),"array"===layui.type(t.body)&&"string"==typeof t.body[0]&&(n.documentElem=p(document),n.bodyElem=t.body.concat()),n.data());"index"in t&&e.index!=t.index?n.change(n.findHeaderItem(t.index),!0):-1===e.index&&n.change(n.findHeaderItem(0),!0),n.roll("auto"),t.elem.hasClass(C.CONST.CLASS_HIDEV)&&t.elem.removeClass(C.CONST.CLASS_HIDEV),"function"==typeof t.afterRender&&t.afterRender(e),layui.event.call(t.elem[0],C.CONST.MOD_NAME,"afterRender("+t.id+")",e)},events:function(){var e,t=this,a=t.config,i=t.getContainer(),n=C.CONST.MOD_NAME,i=(t.documentElem?i.header:a).elem,a=a.trigger+(".lay_"+n+"_trigger"),n=t.documentElem?t.headerElem[1]:t.headerElem.join("");i.off(a).on(a,n,function(){t.change(p(this))}),r.onresize||(p(window).on("resize",function(){clearTimeout(e),e=setTimeout(function(){layui.each(C.cache.id,function(e){e=C.getInst(e);e&&e.roll("init")})},50)}),r.onresize=!0)}}),r={},t=C.Class;t.prototype.add=function(e){var t,a,i=this,n=i.getContainer(),r=i.renderHeaderItem(e),d=i.renderBodyItem(e),l=i.data();e=p.extend({active:!0},e),/(before|after)/.test(e.mode)?(a=(t=Object.prototype.hasOwnProperty.call(e,"index"))?i.findHeaderItem(e.index):l.thisHeaderItem,t=t?i.findBodyItem(e.index):l.thisHeaderItem,a[e.mode](r),t[e.mode](d)):(a={prepend:"prepend",append:"append"}[e.mode||"append"]||"append",n.header.elem[a](r),n.body.elem[a](d)),e.active?i.change(r,!0):i.roll("auto"),"function"==typeof e.done&&e.done(p.extend(l,{headerItem:r,bodyItem:d}))},t.prototype.close=function(e,t){if(e&&e[0]){var a=this,i=a.config,n=e.attr("lay-id"),r=e.index();if("false"!==e.attr("lay-closable")){var d=a.data();if(!t)if(!1===layui.event.call(e[0],C.CONST.MOD_NAME,"beforeClose("+i.id+")",p.extend(d,{index:r})))return;e.hasClass(C.CONST.CLASS_THIS)&&(e.next()[0]?a.change(e.next(),!0):e.prev()[0]&&a.change(e.prev(),!0)),a.findBodyItem(n||r).remove(),e.remove(),a.roll("auto",r),d=a.data(),layui.event.call(d.thisHeaderItem[0],C.CONST.MOD_NAME,"afterClose("+i.id+")",d)}}},t.prototype.closeMult=function(i,e){var n=this,t=n.config,a=n.getContainer(),r=n.data(),a=a.header.items,d='[lay-closable="false"]',l=(e=e===undefined?r.index:e,n.findHeaderItem(e)),o=l.index();"false"!==r.thisHeaderItem.attr("lay-closable")&&("all"!==i&&i?e!==r.index&&n.change(l,!0):(e=a.filter(":gt("+r.index+")"+d).eq(0),l=p(a.filter(":lt("+r.index+")"+d).get().reverse()).eq(0),e[0]?n.change(e,!0):l[0]&&n.change(l,!0))),a.each(function(e){var t=p(this),a=t.attr("lay-id"),a=n.findBodyItem(a||e);"false"!==t.attr("lay-closable")&&("other"===i&&e!==o||"right"===i&&o<e||"left"===i&&e<o||"all"===i)&&(t.remove(),a.remove())}),n.roll("auto"),r=n.data(),layui.event.call(r.thisHeaderItem[0],C.CONST.MOD_NAME,"afterClose("+t.id+")",r)},t.prototype.change=function(e,t){if(e&&e[0]){var a=this,i=a.config,n=e.attr("lay-id"),r=e.index(),d=e.find("a"),d="string"==typeof d.attr("href")&&"_blank"===d.attr("target"),l="string"==typeof e.attr("lay-unselect");if(!d&&!l){d=a.data();if(!t)if(!1===layui.event.call(e[0],C.CONST.MOD_NAME,"beforeChange("+i.id+")",p.extend(d,{from:{index:d.index,headerItem:d.thisHeaderItem},to:{index:r,headerItem:e}})))return;e.addClass(C.CONST.CLASS_THIS).siblings().removeClass(C.CONST.CLASS_THIS),a.findBodyItem(n||r).addClass(C.CONST.CLASS_SHOW).siblings().removeClass(C.CONST.CLASS_SHOW),a.roll("auto",r),d=a.data(),layui.event.call(d.thisHeaderItem[0],C.CONST.MOD_NAME,"afterChange("+i.id+")",d)}}},t.prototype.renderHeaderItem=function(e){var t=this.config,t=p(e.headerItem||t.headerItem||"<li></li>");return t.html(e.title||"New Tab").attr("lay-id",e.id),this.appendClose(t,e),t},t.prototype.renderBodyItem=function(e){var t=this.config,t=p(e.bodyItem||t.bodyItem||'<div class="'+C.CONST.ITEM+'"></div>');return t.html(e.content||"").attr("lay-id",e.id),t},t.prototype.appendClose=function(e,t){var a=this;a.config.closable&&(0==(t=t||{}).closable&&e.attr("lay-closable","false"),"false"===e.attr("lay-closable")||e.find("."+C.CONST.CLOSE)[0]||((t=p('<i class="layui-icon layui-icon-close layui-unselect '+C.CONST.CLOSE+'"></i>')).on("click",function(){return a.close(p(this).parent()),!1}),e.append(t)))},t.prototype.renderClose=function(){var t=this,a=t.config;t.getContainer().header.items.each(function(){var e=p(this);a.closable?t.appendClose(e):e.find("."+C.CONST.CLOSE).remove()})},t.prototype.roll=function(e,i){var n=this,t=n.config,a=n.getContainer(),r=a.header.elem,d=a.header.items,a=r.prop("scrollWidth"),l=Math.ceil(r.outerWidth()),o=r.data("left")||0,s="scroll"===t.headerMode,c="layui-tabs-scroll",f="layui-tabs-bar",u=["layui-icon-prev","layui-icon-next"],m={elem:p('<div class="'+c+' layui-border-box layui-unselect"></div>'),bar:p(['<div class="'+f+'">','<i class="layui-icon '+u[0]+'" lay-mode="prev"></i>','<i class="layui-icon '+u[1]+'" lay-mode="next"></i>',"</div>"].join(""))};if("normal"!==t.headerMode){var h,y=r.parent("."+c);if(s||!s&&l<a)y[0]||(t.elem.hasClass(C.CONST.CARD)&&m.elem.addClass(C.CONST.CARD),r.wrap(m.elem),r.after(m.bar),m.bar.children().on("click",function(){var e=p(this).attr("lay-mode");p(this).hasClass(C.CONST.CLASS_DISABLED)||e&&n.roll(e)}));else if(!s){if(!y[0])return;y.find("."+f).remove(),r.unwrap().css("left",0).data("left",0)}"init"!==e&&(a=r.prop("scrollWidth"),l=r.outerWidth(),y=r.parent("."+c),"prev"===e?((h=-o-l)<0&&(h=0),d.each(function(e,t){t=p(t),t=Math.ceil(t.position().left);if(h<=t)return r.css("left",-t).data("left",-t),!1})):"auto"===e?function(){i=isNaN(i)?n.data().index:i;var e=d.eq(i);if(e[0]){var t=Math.ceil(e.position().left),a=t-(e.prev().outerWidth()||0);if(0<a&&(a-=1),o+a<0)return o=0<=a?a:0,r.css("left",-o).data("left",-o);a=t+e.outerWidth()+(e.next().outerWidth()||0)+1,0<o+a-l&&(o=a-l,r.css("left",-o).data("left",-o))}}():d.each(function(e,t){var t=p(t),a=Math.ceil(t.position().left);if(a+t.outerWidth()>=l-o)return r.css("left",-a).data("left",-a),!1}),o=r.data("left")||0,y.find("."+u[0])[o<0?"removeClass":"addClass"](C.CONST.CLASS_DISABLED),y.find("."+u[1])[0<parseFloat(o+a)-l?"removeClass":"addClass"](C.CONST.CLASS_DISABLED))}},t.prototype.findHeaderItem=function(e){var t=this.getContainer().header.items;return"string"==typeof e?t.filter('[lay-id="'+e+'"]'):t.eq(e)},t.prototype.findBodyItem=function(e){var t,a=this.getContainer(),i=a.body.items;return"string"==typeof e?!(t=i.filter('[lay-id="'+e+'"]'))[0]&&-1!==(a=a.header.items.filter('[lay-id="'+e+'"]').index())?i.eq(a):t:i.eq(e)},t.prototype.data=function(){var e=this.config,t=this.getContainer(),a=t.header.items.filter("."+C.CONST.CLASS_THIS),i=a.index(),n=a.attr("lay-id");return{options:e,container:t,thisHeaderItem:a,thisBodyItem:this.findBodyItem(n||i),index:i,length:t.header.items.length}},p.extend(C,{add:function(e,t){e=C.getInst(e);e&&e.add(t)},close:function(e,t,a){e=C.getInst(e);e&&(t===undefined&&(t=e.data().index),e.close(e.findHeaderItem(t),a))},closeMult:function(e,t,a){e=C.getInst(e);e&&e.closeMult(t,a)},change:function(e,t,a){e=C.getInst(e);e&&e.change(e.findHeaderItem(t),a)},data:function(e){e=C.getInst(e);return e?e.data():{}},getHeaderItem:function(e,t){e=C.getInst(e);if(e)return e.findHeaderItem(t)},getBodyItem:function(e,t){e=C.getInst(e);if(e)return e.findBodyItem(t)},refresh:function(e){e=C.getInst(e);e&&e.roll("auto")}}),p(function(){C.render()}),e(C.CONST.MOD_NAME,C)});layui.define(["i18n","component","form"],function(e){"use strict";var u=layui.lay,p=layui.i18n,L=layui.$,i=layui.form,_=layui.layer,a=layui.component({name:"tree",config:{data:[],showCheckbox:!1,showLine:!0,accordion:!1,onlyIconControl:!1,isJump:!1,edit:!1,customName:{id:"id",title:"title",children:"children"}},CONST:{ELEM:"layui-tree",ELEM_SET:"layui-tree-set",ICON_CLICK:"layui-tree-iconClick",ICON_ADD:"layui-icon-addition",ICON_SUB:"layui-icon-subtraction",ELEM_ENTRY:"layui-tree-entry",ELEM_MAIN:"layui-tree-main",ELEM_TEXT:"layui-tree-txt",ELEM_PACK:"layui-tree-pack",ELEM_SPREAD:"layui-tree-spread",ELEM_LINE_SHORT:"layui-tree-setLineShort",ELEM_SHOW:"layui-tree-showLine",ELEM_EXTEND:"layui-tree-lineExtend"},beforeRender:function(e){var i=this,e=(i.config=L.extend({text:{defaultNodeName:p.$t("tree.defaultNodeName"),none:p.$t("tree.noData")}},i.config,e),e.customName||{});i.config.flatData=u.treeToFlat(i.config.data,{idKey:e.id,childrenKey:e.children,keepChildren:!0})},render:function(){var e=this,i=e.config,a=(e.checkids=[],L('<div class="layui-tree layui-border-box'+(i.showCheckbox?" layui-form":"")+(i.showLine?" layui-tree-line":"")+'" lay-filter="LAY-tree-'+e.index+'"></div>')),n=(e.tree(a),i.elem);if(n[0]){if(e.elem=a,e.elemNone=L('<div class="layui-tree-emptyText">'+i.text.none+"</div>"),n.html(e.elem),0==e.elem.find("."+C.ELEM_SET).length)return e.elem.append(e.elemNone);i.showCheckbox&&e.renderForm("checkbox"),e.elem.find("."+C.ELEM_SET).each(function(){var e=L(this);e.parent(".layui-tree-pack")[0]||e.addClass("layui-tree-setHide"),!e.next()[0]&&e.parents(".layui-tree-pack").eq(1).hasClass("layui-tree-lineExtend")&&e.addClass(C.ELEM_LINE_SHORT),e.next()[0]||e.parents("."+C.ELEM_SET).eq(0).next()[0]||e.addClass(C.ELEM_LINE_SHORT)})}},extendsInstance:function(){var i=this;return{getChecked:function(){return i.getChecked.call(i)},setChecked:function(e){return i.setChecked.call(i,e)}}}}),C=a.CONST,n=a.Class;n.prototype.reload=function(e,i){var a=this;layui.each(e,function(e,i){"array"===layui.type(i)&&delete a.config[e]}),a.config=L.extend(!0,{},a.config,e),a.init(!0,i)},n.prototype.renderForm=function(e){i.render(e,"LAY-tree-"+this.index)},n.prototype.tree=function(d,e){var r=this,E=r.config,s=E.customName,e=e||E.data;layui.each(e,function(e,i){var a,n,t=i[s.children]&&0<i[s.children].length,l=L('<div class="layui-tree-pack" '+(i.spread?'style="display: block;"':"")+"></div>"),c=L(['<div data-id="'+i[s.id]+'" class="'+[C.ELEM_SET,i.spread?"layui-tree-spread":""].join(" ")+'">','<div class="layui-tree-entry">','<div class="layui-tree-main">',E.showLine?t?'<span class="layui-tree-iconClick layui-tree-icon"><i class="layui-icon '+(i.spread?"layui-icon-subtraction":"layui-icon-addition")+'"></i></span>':'<span class="layui-tree-iconClick"><i class="layui-icon layui-icon-leaf"></i></span>':'<span class="layui-tree-iconClick"><i class="layui-tree-iconArrow '+(t?"":C.CLASS_HIDE)+'"></i></span>',E.showCheckbox?'<input type="checkbox" name="'+(i.field||"layuiTreeCheck_"+i[s.id])+'" same="layuiTreeCheck" lay-skin="primary" '+(i.disabled?"disabled":"")+' value="'+i[s.id]+'">':"",E.isJump&&i.href?'<a href="'+i.href+'" target="_blank" class="'+C.ELEM_TEXT+'">'+(i[s.title]||i.label||E.text.defaultNodeName)+"</a>":'<span class="'+C.ELEM_TEXT+(i.disabled?" "+C.CLASS_DISABLED:"")+'">'+(i[s.title]||i.label||E.text.defaultNodeName)+"</span>","</div>",E.edit?(a={add:'<i class="layui-icon layui-icon-add-1"  data-type="add"></i>',update:'<i class="layui-icon layui-icon-edit" data-type="update"></i>',del:'<i class="layui-icon layui-icon-delete" data-type="del"></i>'},n=['<div class="layui-btn-group layui-tree-btnGroup">'],!0===E.edit&&(E.edit=["update","del"]),"object"==typeof E.edit?(layui.each(E.edit,function(e,i){n.push(a[i]||"")}),n.join("")+"</div>"):void 0):"","</div>","</div>"].join(""));t&&(c.append(l),r.tree(l,i[s.children])),d.append(c),c.prev("."+C.ELEM_SET)[0]&&c.prev().children(".layui-tree-pack").addClass("layui-tree-showLine"),t||c.parent(".layui-tree-pack").addClass("layui-tree-lineExtend"),r.spread(c,i),E.showCheckbox&&(i.checked&&r.checkids.push(i[s.id]),r.checkClick(c,i)),E.edit&&r.operate(c,i)})},n.prototype.spread=function(n,t){var l=this,c=l.config,e=n.children("."+C.ELEM_ENTRY),i=e.children("."+C.ELEM_MAIN),a=i.find('input[same="layuiTreeCheck"]'),d=e.find("."+C.ICON_CLICK),e=e.find("."+C.ELEM_TEXT),r=c.onlyIconControl?d:i,E="";r.on("click",function(e){var i=n.children("."+C.ELEM_PACK),a=(r.children(".layui-icon")[0]?r:r.find(".layui-tree-icon")).children(".layui-icon");i[0]?n.hasClass(C.ELEM_SPREAD)?(n.removeClass(C.ELEM_SPREAD),i.slideUp(200),a.removeClass(C.ICON_SUB).addClass(C.ICON_ADD),l.updateFieldValue(t,"spread",!1)):(n.addClass(C.ELEM_SPREAD),i.slideDown(200),a.addClass(C.ICON_SUB).removeClass(C.ICON_ADD),l.updateFieldValue(t,"spread",!0),c.accordion&&((i=n.siblings("."+C.ELEM_SET)).removeClass(C.ELEM_SPREAD),i.children("."+C.ELEM_PACK).slideUp(200),i.find(".layui-tree-icon").children(".layui-icon").removeClass(C.ICON_SUB).addClass(C.ICON_ADD))):E="normal"}),e.on("click",function(){L(this).hasClass(C.CLASS_DISABLED)||(E=n.hasClass(C.ELEM_SPREAD)?c.onlyIconControl?"open":"close":c.onlyIconControl?"close":"open",a[0]&&l.updateFieldValue(t,"checked",a.prop("checked")),c.click&&c.click({elem:n,state:E,data:t}))})},n.prototype.updateFieldValue=function(e,i,a){i in e&&(e[i]=a)},n.prototype.syncCheckedState=function(e,i,l){var c,t,d=this,r=d.config.customName,E=e.prop("checked"),a=e.closest("."+C.ELEM_SET);e.prop("disabled")||(t=function(e){var i,a,n;e.parents("."+C.ELEM_SET)[0]&&(a=(e=e.parent("."+C.ELEM_PACK)).parent(),(n=e.prev().find('input[same="layuiTreeCheck"]')).prop("disabled")||(E?n.prop("checked",E):(e.find('input[same="layuiTreeCheck"]').each(function(){this.checked&&(i=!0)}),i||n.prop("checked",!1)),t(a)))},(c=function(e,i){var n,t=i[r.children];t&&0!==t.length&&(n=e.children("."+C.ELEM_PACK).children("."+C.ELEM_SET)).children("."+C.ELEM_ENTRY).find('input[same="layuiTreeCheck"]').each(function(e){var i,a;this.disabled||(i=t[e],a=!l&&"checked"in i?i.checked:E,this.checked=a,d.updateFieldValue(i,"checked",a),i[r.children]&&c(n.eq(e),i))})})(a,i),t(a),d.renderForm("checkbox"))},n.prototype.checkClick=function(a,n){var t=this,l=t.config,e=a.children("."+C.ELEM_ENTRY).children("."+C.ELEM_MAIN);e.on("click",'input[same="layuiTreeCheck"]',layui.stope),e.on("click",'input[same="layuiTreeCheck"]+',function(e){layui.stope(e);var e=L(this).prev(),i=e.prop("checked");e.prop("disabled")||(t.syncCheckedState(e,n,"manual"),t.updateFieldValue(n,"checked",i),l.oncheck&&l.oncheck({elem:a,checked:i,data:n}))})},n.prototype.operate=function(r,l){var E=this,s=E.config,o=s.customName,e=r.children("."+C.ELEM_ENTRY),h=e.children("."+C.ELEM_MAIN);e.children(".layui-tree-btnGroup").on("click",".layui-icon",function(e){layui.stope(e);var a,i,n,t,e=L(this).data("type"),c=r.children("."+C.ELEM_PACK),d={data:l,type:e,elem:r};"add"==e?(c[0]||(s.showLine?(h.find("."+C.ICON_CLICK).addClass("layui-tree-icon"),h.find("."+C.ICON_CLICK).children(".layui-icon").addClass(C.ICON_ADD).removeClass("layui-icon-leaf")):h.find(".layui-tree-iconArrow").removeClass(C.CLASS_HIDE),r.append('<div 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i,a,n,t;e.parents("."+C.ELEM_SET)[0]&&(i=e.siblings("."+C.ELEM_SET).children("."+C.ELEM_ENTRY),a=(e=e.parent("."+C.ELEM_PACK).prev()).find('input[same="layuiTreeCheck"]')[0],n=1,(t=0)==a.checked)&&(i.each(function(e,i){i=L(i).find('input[same="layuiTreeCheck"]')[0];0!=i.checked||i.disabled||(n=0),i.disabled||(t=1)}),1==n)&&1==t&&(a.checked=!0,E.renderForm("checkbox"),l(e.parent("."+C.ELEM_SET)))})(r),s.showLine&&(e=r.siblings("."+C.ELEM_SET),a=1,i=r.parent("."+C.ELEM_PACK),layui.each(e,function(e,i){L(i).children("."+C.ELEM_PACK)[0]||(a=0)}),1==a?(c[0]||(i.removeClass(C.ELEM_EXTEND),e.children("."+C.ELEM_PACK).addClass(C.ELEM_SHOW),e.children("."+C.ELEM_PACK).children("."+C.ELEM_SET).removeClass(C.ELEM_LINE_SHORT)),(r.next()[0]?i.children("."+C.ELEM_SET).last():r.prev()).children("."+C.ELEM_PACK).children("."+C.ELEM_SET).last().addClass(C.ELEM_LINE_SHORT),r.next()[0]||r.parents("."+C.ELEM_SET)[1]||r.parents("."+C.ELEM_SET).eq(0).next()[0]||r.prev("."+C.ELEM_SET).addClass(C.ELEM_LINE_SHORT)):!r.next()[0]&&r.hasClass(C.ELEM_LINE_SHORT)&&r.prev().addClass(C.ELEM_LINE_SHORT))):(e=r.parent("."+C.ELEM_PACK).prev(),s.showLine?(e.find("."+C.ICON_CLICK).removeClass("layui-tree-icon"),e.find("."+C.ICON_CLICK).children(".layui-icon").removeClass(C.ICON_SUB).addClass("layui-icon-leaf"),(i=e.parents("."+C.ELEM_PACK).eq(0)).addClass(C.ELEM_EXTEND),i.children("."+C.ELEM_SET).each(function(){L(this).children("."+C.ELEM_PACK).children("."+C.ELEM_SET).last().addClass(C.ELEM_LINE_SHORT)})):e.find(".layui-tree-iconArrow").addClass(C.CLASS_HIDE),r.parents("."+C.ELEM_SET).eq(0).removeClass(C.ELEM_SPREAD),r.parent("."+C.ELEM_PACK).remove()),r.remove()):(r.remove(),E.elem.append(E.elemNone))}))})},n.prototype.events=function(){var i=this,t=i.config;i.setChecked(i.checkids),i.elem.find(".layui-tree-search").on("keyup",function(){var e=L(this),a=e.val(),e=e.nextAll(),n=[];e.find("."+C.ELEM_TEXT).each(function(){var i,e=L(this).parents("."+C.ELEM_ENTRY);-1!=L(this).html().indexOf(a)&&(n.push(L(this).parent()),(i=function(e){e.addClass("layui-tree-searchShow"),e.parent("."+C.ELEM_PACK)[0]&&i(e.parent("."+C.ELEM_PACK).parent("."+C.ELEM_SET))})(e.parent("."+C.ELEM_SET)))}),e.find("."+C.ELEM_ENTRY).each(function(){var e=L(this).parent("."+C.ELEM_SET);e.hasClass("layui-tree-searchShow")||e.addClass(C.CLASS_HIDE)}),0==e.find(".layui-tree-searchShow").length&&i.elem.append(i.elemNone),t.onsearch&&t.onsearch({elem:n})}),i.elem.find(".layui-tree-search").on("keydown",function(){L(this).nextAll().find("."+C.ELEM_ENTRY).each(function(){L(this).parent("."+C.ELEM_SET).removeClass("layui-tree-searchShow "+C.CLASS_HIDE)}),L(".layui-tree-emptyText")[0]&&L(".layui-tree-emptyText").remove()})},n.prototype.getChecked=function(){var t=this,e=t.config,l=e.customName,i=[],a=[],c=(t.elem.find(".layui-form-checked").each(function(){i.push(L(this).prev()[0].value)}),function(e,n){layui.each(e,function(e,a){layui.each(i,function(e,i){if(a[l.id]==i)return t.updateFieldValue(a,"checked",!0),delete(i=L.extend({},a))[l.children],n.push(i),a[l.children]&&(i[l.children]=[],c(a[l.children],i[l.children])),!0})})});return c(L.extend({},e.data),a),a},n.prototype.setChecked=function(e){var c=this,d=c.config.flatData;"object"!=typeof e&&(e=[e]),c.elem.find("."+C.ELEM_SET).each(function(a){var n=L(this).data("id"),t=L(this).children("."+C.ELEM_ENTRY).find('input[same="layuiTreeCheck"]'),l=t.prop("checked");layui.each(e,function(e,i){return n!=i||t.prop("disabled")||l?void 0:(t.prop("checked",!0),c.syncCheckedState(t,d[a]),!0)})})},L.extend(a,{getChecked:function(e){e=a.getInst(e);if(e)return e.getChecked()},setChecked:function(e,i){e=a.getInst(e);if(e)return e.setChecked(i)}}),e(C.MOD_NAME,a)});layui.define(["i18n","laytpl","component","form"],function(e){"use strict";var i=layui.i18n,l=layui.laytpl,o=layui.$,a=layui.form,t=layui.component({name:"transfer",config:{width:200,height:360,data:[],value:[],showSearch:!1,id:""},CONST:{ELEM:"layui-transfer",ELEM_BOX:"layui-transfer-box",ELEM_HEADER:"layui-transfer-header",ELEM_SEARCH:"layui-transfer-search",ELEM_ACTIVE:"layui-transfer-active",ELEM_DATA:"layui-transfer-data",BTN_DISABLED:"layui-btn-disabled"},beforeRender:function(e){this.config=o.extend({title:i.$t("transfer.title"),text:{none:i.$t("transfer.noData"),searchNone:i.$t("transfer.noMatch")}},this.config,e)},render:function(){var e=this,a=e.config,t=function(e){return['<div class="layui-transfer-box" data-index="'+(e=e||{}).index+'">','  <div class="layui-transfer-header">','    <input type="checkbox"','           name="'+e.checkAllName+'"','           lay-filter="layTransferCheckbox"','           lay-type="all"','           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class="layui-icon layui-icon-next"></i>',"    </button>","","    \x3c!-- \u5411\u5de6\u7a7f\u68ad\u6309\u94ae --\x3e",'    <button type="button"','            class="layui-btn layui-btn-sm layui-btn-primary layui-btn-disabled"','            data-index="1">','      <i class="layui-icon layui-icon-prev"></i>',"    </button>","  </div>","","  \x3c!-- \u53f3\u4fa7\u7a7f\u68ad\u6846 --\x3e",t({index:1,checkAllName:"layTransferRightCheckAll"}),"","</div>"].join("\n"),t=e.elem=o(l(t,{open:"{{",close:"}}",tagStyle:"modern"}).render({data:a,index:e.index})),n=a.elem;n[0]&&(a.data=a.data||[],a.value=a.value||[],n.html(e.elem),e.layBox=e.elem.find("."+d.ELEM_BOX),e.layHeader=e.elem.find("."+d.ELEM_HEADER),e.laySearch=e.elem.find("."+d.ELEM_SEARCH),e.layData=t.find("."+d.ELEM_DATA),e.layBtn=t.find("."+d.ELEM_ACTIVE+" 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e=this,a=e.config,t=[];return e.layBox.eq(1).find("."+d.ELEM_DATA+' input[type="checkbox"]').each(function(){o(this).data("hide")||t.push(this.value)}),a.value=t,e},n.prototype.parseData=function(a){var n=this.config,i=[];return layui.each(n.data,function(e,t){t=("function"==typeof n.parseData?n.parseData(t):t)||t,i.push(t=o.extend({},t)),layui.each(n.value,function(e,a){a==t.value&&(t.selected=!0)}),a&&a(t)}),n.data=i,this},n.prototype.getData=function(e){var a=this.config,n=[];return this.setValue(),layui.each(e||a.value,function(e,t){layui.each(a.data,function(e,a){delete a.selected,t==a.value&&n.push(a)})}),n},n.prototype.transfer=function(e,a){var t,n=this,i=n.config,l=n.layBox.eq(e),c=[],a=(a?((t=(a=a).find('input[type="checkbox"]'))[0].checked=!1,l.siblings("."+d.ELEM_BOX).find("."+d.ELEM_DATA).append(a.clone()),a.remove(),c.push(t[0].value),n.setValue()):l.each(function(e){o(this).find("."+d.ELEM_DATA).children("li").each(function(){var e=o(this),a=e.find('input[type="checkbox"]'),t=a.data("hide");a[0].checked&&!t&&(a[0].checked=!1,l.siblings("."+d.ELEM_BOX).find("."+d.ELEM_DATA).append(e.clone()),e.remove(),c.push(a[0].value)),n.setValue()})}),n.renderCheckBtn(),l.siblings("."+d.ELEM_BOX).find("."+d.ELEM_SEARCH+" input"));""!==a.val()&&a.trigger("keyup"),i.onchange&&i.onchange(n.getData(c),e)},n.prototype.events=function(){var i=this,l=i.config;i.elem.on("click",'input[lay-filter="layTransferCheckbox"]+',function(){var e=o(this).prev(),a=e[0].checked,t=e.parents("."+d.ELEM_BOX).eq(0).find("."+d.ELEM_DATA);e[0].disabled||("all"===e.attr("lay-type")&&t.find('input[type="checkbox"]').each(function(){this.disabled||(this.checked=a)}),setTimeout(function(){i.renderCheckBtn({stopNone:!0})},0))}),i.elem.on("dblclick","."+d.ELEM_DATA+">li",function(e){var a=o(this),t=a.children('input[type="checkbox"]'),n=a.parent().parent().data("index");t[0].disabled||!1!==("function"==typeof 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o=layui.$,i=layui.lay,t=layui.component({name:"carousel",config:{width:"600px",height:"280px",full:!1,arrow:"hover",indicator:"inside",autoplay:!0,interval:3e3,anim:"",trigger:"click",index:0},CONST:{ELEM:"layui-carousel",ELEM_ITEM:">*[carousel-item]>*",ELEM_LEFT:"layui-carousel-left",ELEM_RIGHT:"layui-carousel-right",ELEM_PREV:"layui-carousel-prev",ELEM_NEXT:"layui-carousel-next",ELEM_ARROW:"layui-carousel-arrow",ELEM_IND:"layui-carousel-ind"},render:function(){var e=this,i=e.config;e.elemItem=i.elem.find(s.ELEM_ITEM),i.index<0&&(i.index=0),i.index>=e.elemItem.length&&(i.index=e.elemItem.length-1),i.interval<800&&(i.interval=800),i.full?i.elem.css({position:"fixed",width:"100%",height:"100%",zIndex:9999}):i.elem.css({width:i.width,height:i.height}),i.elem.attr("lay-anim",i.anim),e.elemItem.eq(i.index).addClass(s.CLASS_THIS),e.indicator(),e.arrow(),e.autoplay()},extendsInstance:function(){var 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diff --git a/surround_view/__pycache__/capture_thread.cpython-38.pyc b/surround_view/__pycache__/capture_thread.cpython-38.pyc
index 9560eb8dfc7f4593c77a2b0c2c8c9b43e6595d08..134c0dd7bbd9d8fb311fcd34379f5f51c2023b77 100644
GIT binary patch
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diff --git a/surround_view/__pycache__/fisheye_camera.cpython-38.pyc b/surround_view/__pycache__/fisheye_camera.cpython-38.pyc
index 3e4866f925f32a601bc3062f976077d5146f6ca3..0a3359f90cab66bfdb69bf6414d1ae8a3dba834b 100644
GIT binary patch
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diff --git a/surround_view/__pycache__/utils.cpython-38.pyc b/surround_view/__pycache__/utils.cpython-38.pyc
index b0dcb0b05c4976e859434d143f9659021f2a43ef..379122abfe4cd6d340c5540be8fa3aba63a0c1ad 100644
GIT binary patch
delta 963
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diff --git a/surround_view/capture_thread.py b/surround_view/capture_thread.py
index 6513263..dcde7f0 100644
--- a/surround_view/capture_thread.py
+++ b/surround_view/capture_thread.py
@@ -11,7 +11,7 @@ class CaptureThread(BaseThread):
                  device_id,
                  flip_method=0,
                  drop_if_full=True,
-                 api_preference=cv2.CAP_ANY,
+                 api_preference=cv2.CAP_V4L2,
                  resolution=None,
                  parent=None):
         """
diff --git a/surround_view/fisheye_camera.py b/surround_view/fisheye_camera.py
index 20860c6..4858e32 100644
--- a/surround_view/fisheye_camera.py
+++ b/surround_view/fisheye_camera.py
@@ -76,10 +76,33 @@ class FisheyeCameraModel(object):
         result = cv2.remap(image, *self.undistort_maps, interpolation=cv2.INTER_LINEAR,
                            borderMode=cv2.BORDER_CONSTANT)
         return result
+    # def undistort(self, image):
+    #     uimg = cv2.UMat(image)
+    #     uresult = cv2.remap(
+    #         uimg,
+    #         *self.undistort_maps,
+    #         interpolation=cv2.INTER_LINEAR,
+    #         borderMode=cv2.BORDER_CONSTANT,
+    #         borderValue=(0, 0, 0)
+    #     )
+    #     return uresult.get()    
+
+    # def project(self, image):
+    #     result = cv2.warpPerspective(image, self.project_matrix, self.project_shape)
+    #     return result
 
     def project(self, image):
-        result = cv2.warpPerspective(image, self.project_matrix, self.project_shape)
-        return result
+        # 转为 UMat（触发 GPU 路径）
+        uimg = cv2.UMat(image)
+        uresult = cv2.warpPerspective(
+            uimg,
+            self.project_matrix,
+            self.project_shape,
+            flags=cv2.INTER_LINEAR,
+            borderMode=cv2.BORDER_CONSTANT,
+            borderValue=(0, 0, 0)
+        )
+        return uresult.get()  # 转回 numpy array 供后续使用
 
     def flip(self, image):
         if self.camera_name == "front":
diff --git a/surround_view/utils.py b/surround_view/utils.py
index d69c6d7..a0369f7 100644
--- a/surround_view/utils.py
+++ b/surround_view/utils.py
@@ -8,6 +8,7 @@ def gstreamer_pipeline(cam_id=0,
                        framerate=30,
                        format="YUYV",
                        ):
+    print("11111111233333333333545656646464646")
     """
     Use libgstreamer to open csi-cameras.
     """
@@ -17,7 +18,6 @@ def gstreamer_pipeline(cam_id=0,
         "videoconvert ! "
         "video/x-raw,format=YUYV ! "   # 转为 OpenCV 能直接用的 BGR 格式
         "appsink"
-    
     )
 
 
diff --git a/templates/index.html b/templates/index.html
index 11547a9..58f07d4 100644
--- a/templates/index.html
+++ b/templates/index.html
@@ -1,18 +1,54 @@
-
 <!DOCTYPE html>
 <html>
-<head><title>Surround View System</title></head>
-<body style="background:#111;color:white;text-align:center;">
-<h2>🚗 四路摄像头 + 环视鸟瞰图</h2>
-<div>
-    <h3>四路分屏</h3>
-    <img src="/video_feed_original" width="800"/>
+<head>
+  <meta charset="utf-8">
+  <title>环视系统</title>
+  <link rel="stylesheet" href="/static/layui/css/layui.css">
+  <style>
+    html, body { margin: 0; padding: 0; height: 100%; overflow: hidden; }
+    #app { display: flex; height: 100vh; }
+    #sidebar { width: 200px; background: #393D49; color: white; padding: 20px 0; }
+    #main { flex: 1; position: relative; background: black; }
+    #video { width: 100%; height: 100%; object-fit: contain; }
+    .menu-item { padding: 12px 20px; cursor: pointer; }
+    .menu-item:hover { background: #4B515D; }
+    .active { background: #009688 !important; }
+  </style>
+</head>
+<body>
+<div id="app">
+  <div id="sidebar">
+    <div class="menu-item active" data-view="all">全景鸟瞰</div>
+    <div class="menu-item" data-view="front">前视</div>
+    <div class="menu-item" data-view="back">后视</div>
+    <div class="menu-item" data-view="left">左视</div>
+    <div class="menu-item" data-view="right">右视</div>
+    <hr style="border-color:#5a5e6a;margin:15px 10px">
+    <div class="menu-item" onclick="logout()">退出登录</div>
+  </div>
+  <div id="main">
+    <img id="video" src="/video_feed" />
+  </div>
 </div>
-<div style="margin-top:20px;">
-    <h3>鸟瞰图 (Bird's Eye View)</h3>
-    <img src="/video_feed_birdview" width="500"/>
-</div>
-<p>按 Ctrl+C 停止服务 | 账号: admin / 密码: password123</p>
+
+<script src="/static/layui/layui.js"></script>
+<script>
+  // 切换视图（可选：后续通过 WebSocket 或 REST API 控制后端 current_view）
+  document.querySelectorAll('.menu-item[data-view]').forEach(item => {
+    item.addEventListener('click', function() {
+      document.querySelector('.active').classList.remove('active');
+      this.classList.add('active');
+      const view = this.getAttribute('data-view');
+      // TODO: 发送 AJAX 请求通知后端切换 current_view
+      // fetch('/api/set_view?view=' + view);
+    });
+  });
+
+  function logout() {
+    if (confirm('确定退出？')) {
+      window.location.href = '/logout';
+    }
+  }
+</script>
 </body>
-</html>
-        
\ No newline at end of file
+</html>
\ No newline at end of file
diff --git a/templates/login.html b/templates/login.html
new file mode 100644
index 0000000..661ee50
--- /dev/null
+++ b/templates/login.html
@@ -0,0 +1,36 @@
+<!DOCTYPE html>
+<html>
+<head>
+  <meta charset="utf-8">
+  <title>登录 - 环视系统</title>
+  <link rel="stylesheet" href="/static/layui/css/layui.css">
+  <style>
+    body { background: #f2f2f2; }
+    .login-box {
+      width: 400px;
+      margin: 100px auto;
+      padding: 30px;
+      background: white;
+      border-radius: 8px;
+      box-shadow: 0 2px 10px rgba(0,0,0,0.1);
+    }
+  </style>
+</head>
+<body>
+<div class="login-box">
+  <h2 style="text-align:center">环视监控系统</h2>
+  <form class="layui-form" action="/login" method="post">
+    <div class="layui-form-item">
+      <input type="text" name="username" required lay-verify="required" placeholder="用户名" autocomplete="off" class="layui-input">
+    </div>
+    <div class="layui-form-item">
+      <input type="password" name="password" required lay-verify="required" placeholder="密码" class="layui-input">
+    </div>
+    <div class="layui-form-item">
+      <button class="layui-btn layui-btn-fluid" lay-submit>登录</button>
+    </div>
+  </form>
+</div>
+<script src="/static/layui/layui.js"></script>
+</body>
+</html>
\ No newline at end of file
diff --git a/web.py b/web.py
index 23b3bcc..92be605 100644
--- a/web.py
+++ b/web.py
@@ -12,6 +12,18 @@ sys.path.append(os.path.dirname(__file__))  # 确保能导入 py_utils
 from py_utils.coco_utils import COCO_test_helper
 from py_utils.rknn_executor import RKNN_model_container  # 假设使用 RKNN
 
+from mjpeg_streamer import MJPEGServer
+
+from multiprocessing import Pool, Manager
+
+import cv2
+
+# 启用 OpenCL（Mali-G610）
+if cv2.ocl.haveOpenCL():
+    cv2.ocl.setUseOpenCL(True)
+    print("✅ OpenCL is ON — using Mali-G610 GPU for acceleration")
+else:
+    print("⚠️ OpenCL not available")
 
 
 # ------YOLO 配置-----------
@@ -30,6 +42,30 @@ with open(ANCHORS_FILE, 'r') as f:
     ANCHORS = np.array(values).reshape(3, -1, 2).tolist()
 
 
+import threading
+import numpy as np
+
+class SharedFrameBuffer:
+    def __init__(self):
+        self._frame = None
+        self._lock = threading.Lock()
+        self._has_frame = False
+
+    def update(self, frame: np.ndarray):
+        """主线程调用：更新最新帧"""
+        with self._lock:
+            self._frame = frame.copy()
+            self._has_frame = True
+
+    def get_frame(self):
+        """YUYV 线程调用：获取最新帧"""
+        with self._lock:
+            if self._has_frame and self._frame is not None:
+                return True, self._frame.copy()
+            else:
+                return False, None
+
+
 # ---------- YOLO 处理函数 ----------
 def filter_boxes(boxes, box_confidences, box_class_probs):
     box_confidences = box_confidences.reshape(-1)
@@ -44,6 +80,7 @@ def filter_boxes(boxes, box_confidences, box_class_probs):
 
     return boxes, classes, scores
 
+
 def nms_boxes(boxes, scores):
     x = boxes[:, 0]
     y = boxes[:, 1]
@@ -125,6 +162,7 @@ def post_process(input_data, anchors):
     boxes, classes, scores = filter_boxes(boxes, scores, classes_conf)
 
     nboxes, nclasses, nscores = [], [], []
+    
     for c in set(classes):
         inds = np.where(classes == c)
         b = boxes[inds]
@@ -207,11 +245,12 @@ class MultiCameraBirdView:
 
         print("[INFO] 初始化摄像头...")
         for name in self.names:
-            cap = cv2.VideoCapture(self.which_cameras[name], cv2.CAP_ANY)
+            cap = cv2.VideoCapture(self.which_cameras[name], cv2.CAP_V4L2)
             cap.set(cv2.CAP_PROP_FOURCC, cv2.VideoWriter_fourcc(*"YUYV"))
             cap.set(cv2.CAP_PROP_FRAME_WIDTH, 1920)
             cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 1080)
             cap.set(cv2.CAP_PROP_BUFFERSIZE, 1)  # 最小缓冲，降低延迟
+            # cap.set(cv2.CAP_PROP_FPS, 30)  # 设置帧率为 30 FPS
             if not cap.isOpened():
                 print(f"[ERROR] 无法打开 {name} 摄像头 (设备 {self.which_cameras[name]})", file=sys.stderr)
                 self.running = False
@@ -239,6 +278,8 @@ class MultiCameraBirdView:
         except Exception as e:
             print(f"[ERROR] YOLO 模型加载失败: {e}")
             self.yolo_model = None
+
+        self.shared_buffer = SharedFrameBuffer()  # 👈 新增
         
     def overlay_alert(self, birdview_img):
         """在鸟瞰图上叠加半透明红色预警区域"""
@@ -265,6 +306,7 @@ class MultiCameraBirdView:
         return blended
     
     def detect_persons(self, image):
+
         """使用YOLO模型检测图像中的人体"""
         if self.yolo_model is None:
             return image, [], []
@@ -280,7 +322,7 @@ class MultiCameraBirdView:
                 new_shape=(IMG_SIZE[1], IMG_SIZE[0]), 
                 pad_color=pad_color
             )
-            img_preprocessed = cv2.cvtColor(img_preprocessed, cv2.COLOR_BGR2RGB)
+            # img_preprocessed = cv2.cvtColor(img_preprocessed, cv2.COLOR_BGR2RGB)
             
             # 推理
             outputs = self.yolo_model.run([np.expand_dims(img_preprocessed, 0)])
@@ -354,7 +396,7 @@ class MultiCameraBirdView:
         return frame
 
     def process_frame_undistort(self, frame, model):
-        """只处理一次：去畸变 + 投影 + 翻转"""
+        """只处理一次：去畸变"""
         frame = model.undistort(frame)
         return frame
 
@@ -366,20 +408,18 @@ class MultiCameraBirdView:
         while self.running:
             raw_frames = {}
             processed_frames = []
-            valid = True
+
 
             for i, (cap, model, name) in enumerate(zip(self.caps, self.camera_models, self.names)):
                 ret, frame = cap.read()
-                if not ret or frame is None:
-                    print(f"[WARN] 跳过 {name} 帧")
-                    valid = False
-                    break
-                raw_frames[name] = frame.copy()
+
+                raw_frames[name] = frame
+                # self.shared_buffer.update(raw_frames[current_view])
+              
                 p_frame = self.process_frame_once(frame, model)
+
                 processed_frames.append(p_frame)
 
-            if not valid or len(processed_frames) != 4:
-                continue
 
             # 更新鸟瞰图
             self.birdview.update_frames(processed_frames)
@@ -394,6 +434,7 @@ class MultiCameraBirdView:
             )
             
             # 在单路图像上进行人体检测
+       
             frame_count += 1
             if frame_count % detection_interval == 0 and self.yolo_model is not None:
                 single_img, person_boxes, person_scores = self.detect_persons(single_img)
@@ -401,7 +442,7 @@ class MultiCameraBirdView:
                 # 根据检测结果自动触发预警
                 if person_boxes:
                     # 可以根据人体的位置和数量来触发预警
-                    # 这里简单示例：只要检测到人就触发当前视图的预警
+
                     self.alerts[current_view] = True
                     # 重置其他视图的预警
                     for view in self.alerts:
@@ -411,11 +452,10 @@ class MultiCameraBirdView:
                     # 没有检测到人，清除所有预警
                     for view in self.alerts:
                         self.alerts[view] = False
-            
-            birdview_img = self.birdview.image.copy()
+        
 
             # 叠加预警区域
-            birdview_with_alert = self.overlay_alert(birdview_img)
+            birdview_with_alert = self.overlay_alert(self.birdview.image)
 
             # 拼接显示：左侧鸟瞰图（1/3），右侧单路（2/3）
             h_display, w_display = 720, 1280
@@ -426,10 +466,13 @@ class MultiCameraBirdView:
             single_resized = cv2.resize(single_img, (w_single, h_display))
             display = np.hstack((bird_resized, single_resized))
 
+
+            
+
             # 在显示窗口上添加状态信息
-            info_text = f"View: {current_view} | Persons detected: {len(person_boxes) if 'person_boxes' in locals() else 0}"
-            cv2.putText(display, info_text, (10, 30), 
-                       cv2.FONT_HERSHEY_SIMPLEX, 0.8, (255, 255, 255), 2)
+            # info_text = f"View: {current_view} | Persons detected: {len(person_boxes) if 'person_boxes' in locals() else 0}"
+            # cv2.putText(display, info_text, (10, 30), 
+            #            cv2.FONT_HERSHEY_SIMPLEX, 0.8, (255, 255, 255), 2)
 
             # 全屏显示
             cv2.namedWindow('Video', cv2.WND_PROP_FULLSCREEN)
@@ -437,33 +480,33 @@ class MultiCameraBirdView:
             cv2.imshow("Video", display)
 
             key = cv2.waitKey(1) & 0xFF
-            if key == ord('q'):
-                self.running = False
-                break
-            elif key == ord('1'):
-                current_view = "front"
-            elif key == ord('2'):
-                current_view = "back"
-            elif key == ord('3'):
-                current_view = "left"
-            elif key == ord('4'):
-                current_view = "right"
-            # 新增：预警控制
-            elif key == ord('5'):
-                self.alerts["front"] = True
-            elif key == ord('6'):
-                self.alerts["back"] = True
-            elif key == ord('7'):
-                self.alerts["left"] = True
-            elif key == ord('8'):
-                self.alerts["right"] = True
-            elif key == ord('0'):
-                # 清除所有预警
-                for k in self.alerts:
-                    self.alerts[k] = False
-            elif key == ord('d'):
-                # 手动触发一次检测
-                single_img, person_boxes, person_scores = self.detect_persons(single_img)
+            # if key == ord('q'):
+            #     self.running = False
+            #     break
+            # elif key == ord('1'):
+            #     current_view = "front"
+            # elif key == ord('2'):
+            #     current_view = "back"
+            # elif key == ord('3'):
+            #     current_view = "left"
+            # elif key == ord('4'):
+            #     current_view = "right"
+            # # 新增：预警控制
+            # elif key == ord('5'):
+            #     self.alerts["front"] = True
+            # elif key == ord('6'):
+            #     self.alerts["back"] = True
+            # elif key == ord('7'):
+            #     self.alerts["left"] = True
+            # elif key == ord('8'):
+            #     self.alerts["right"] = True
+            # elif key == ord('0'):
+            #     # 清除所有预警
+            #     for k in self.alerts:
+            #         self.alerts[k] = False
+            # elif key == ord('d'):
+            #     # 手动触发一次检测
+            #     single_img, person_boxes, person_scores = self.detect_persons(single_img)
 
         for cap in self.caps:
             cap.release()
@@ -478,12 +521,21 @@ def main():
     print("  0  : 清除所有预警")
     print("  d  : 手动触发人体检测")
     print("  q  : 退出程序")
+
     multi_cam = MultiCameraBirdView()
+
+    # ===== 启动视频流 =====
+    try:
+        from mjpeg_streamer import MJPEGServer
+        mjpeg_server = MJPEGServer(multi_cam.shared_buffer, host="0.0.0.0", port=8080)
+        mjpeg_server.start()
+    except Exception as e:
+        print(f"[WARN] YUYV 流启动失败: {e}")
+
     if multi_cam.running:
         multi_cam.run()
     else:
         print("[ERROR] 摄像头初始化失败")
 
-
 if __name__ == "__main__":
     main()
\ No newline at end of file