修改文件夹名字

视觉代码python/main.py

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+import cv2
+import time
+from TTLCommunicator import TTLCommunicator  # 导入入模块化的TTL通信类
+from 新建文件夹.camera_utils import Camera
+from 新建文件夹.image_preprocessor import ImagePreprocessor
+from 新建文件夹.armor_detector import ArmorDetector
+from tracker import KalmanFilter
+from visualizer import Visualizer
+from 新建文件夹.Center_Predicted import BallisticPredictor
+
+
+def output_control_data(ballistic_point, target_color, frame_counter, ttl_communicator, img_center, use_ttl):
+    """输出控制数据到TTL设备（带启用控制）"""
+    # 仅当启用TTL且且满足帧间隔时发送数据
+    if use_ttl and frame_counter % 5 == 0:
+        if ballistic_point:
+            # 计算偏移量（基于实际图像中心）
+            ballistic_offset_x = int(ballistic_point[0] - img_center[0])
+            ballistic_offset_y = int(ballistic_point[1] - img_center[1])
+
+            # 颜色简化映射
+            color_map = {"red": "r", "blue": "b"}
+            simplified_color = color_map.get(target_color, target_color)
+
+            # 构造发送字符串
+            send_str = f"s {simplified_color} {ballistic_offset_x} {ballistic_offset_y}"
+        else:
+            # 无检测结果时的格式
+            send_str = "s u 0 0"
+
+        # 发送数据
+        ttl_communicator.send_data(send_str)
+
+
+def set_camera_resolution(cap, width, height):
+    """设置摄像头分辨率"""
+    cap.set(cv2.CAP_PROP_FRAME_WIDTH, width)
+    cap.set(cv2.CAP_PROP_FRAME_HEIGHT, height)
+    # 验证实际设置的分辨率
+    actual_width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
+    actual_height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
+    return actual_width, actual_height
+
+
+def main(target_color="red", cam_id=0, default_resolution=(640, 480), use_ttl=True):
+    """主函数：整合模块运行检测流程与TTL通信（带TTL启用控制）"""
+    # 定义可选分辨率列表（根据摄像头支持情况调整）
+    resolutions = [
+        (320, 240),  # 低分辨率，高帧率
+        (640, 480),  # 标准分辨率
+        (1280, 720),  # HD分辨率
+        (1920, 1080)  # 全高清分辨率
+    ]
+    res_index = resolutions.index(default_resolution) if default_resolution in resolutions else 1
+
+    # 初始化TTL通信（仅当启用时）
+    ttl = None
+    if use_ttl:
+        ttl = TTLCommunicator(baudrate=115200)
+        if not ttl.connect():
+            print("警告：无法建立TTL连接，将继续运行但不发送数据")
+    else:
+        print("TTL通讯已禁用")
+
+    # 初始化视觉处理模块
+    camera = Camera(cam_id, target_color)
+
+    # 初始化弹道预测器（可调节弹速，如16m/s）
+    ballistic_predictor = BallisticPredictor(bullet_speed=16.0)
+    # 新增：用于记录目标速度（从卡尔曼滤波器获取）
+    target_speed = (0.0, 0.0)
+
+    # 设置初始分辨率
+    current_res = set_camera_resolution(camera.cap, resolutions[res_index][0], resolutions[res_index][1])
+    print(f"初始摄像头分辨率: {current_res[0]}x{current_res[1]}")
+
+    preprocessor = ImagePreprocessor()
+    detector = ArmorDetector()
+    kalman_tracker = KalmanFilter()
+    visualizer = Visualizer()
+
+    frame_counter = 0  # 控制输出频率的计数器
+    max_consecutive_predicts = 20  # 最大连续预测次数
+    consecutive_predicts = 0  # 当前连续预测计数
+
+    try:
+        while True:
+            ret, frame = camera.read_frame()
+            if not ret:
+                print("无法读取摄像头，退出！")
+                break
+
+            # 获取图像实际尺寸并计算中心
+            img_height, img_width = frame.shape[:2]
+            img_center = (img_width // 2, img_height // 2)
+
+            # 预处理
+            mask, color_only_frame = preprocessor.get_mask(frame, target_color)
+
+            # 装甲板检测
+            valid_light_bars, armor_plates = detector.detect(mask, target_color)
+
+            # 卡尔曼滤波跟踪（修改部分：获取目标速度）
+            current_center = armor_plates[0]["center"] if (armor_plates and len(armor_plates) > 0) else None
+
+            if current_center:
+                # 有检测结果：更新卡尔曼滤波器，重置连续预测计数
+                kalman_tracker.update(current_center)
+                predicted_center = kalman_tracker.predict()
+                # 获取卡尔曼滤波器中的速度状态（dx, dy）
+                # 假设KalmanFilter类有state属性，包含[x, y, dx, dy]
+                if hasattr(kalman_tracker, 'kf'):
+                    state = kalman_tracker.kf.statePost
+                    target_speed = (state[2, 0], state[3, 0])  # dx, dy（像素/秒）
+                consecutive_predicts = 0
+            else:
+                # 无检测结果：仅用卡尔曼预测，限制连续预测次数
+                consecutive_predicts += 1
+                if consecutive_predicts < max_consecutive_predicts:
+                    predicted_center = kalman_tracker.predict()
+                else:
+                    predicted_center = None
+                    target_speed = (0.0, 0.0)
+
+            # 确定显示的中心
+            display_center = current_center if current_center else predicted_center
+            is_predicted = (display_center is not None) and (current_center is None)
+
+            # 计算弹道预测点
+            ballistic_point = ballistic_predictor.predict_ballistic_point(
+                predicted_center, img_center, target_speed
+            )
+
+            current_time = time.time()
+
+            # 可视化
+            frame = visualizer.draw_light_bars(frame, valid_light_bars, target_color)
+            if armor_plates and len(armor_plates) > 0:
+                frame = visualizer.draw_armor_plate(frame, armor_plates[0])
+            frame = visualizer.draw_offset_text(frame, display_center, target_color, is_predicted)
+
+            # 输出控制数据到TTL（传入use_ttl控制是否发送）
+            output_control_data(display_center, target_color, frame_counter, ttl, img_center, use_ttl)
+
+            # 显示窗口
+            cv2.imshow("Armor Detection", frame)
+            cv2.imshow(f"{target_color.capitalize()} Mask", mask)
+            cv2.imshow(f"{target_color.capitalize()} Only", color_only_frame)
+
+            # 仅保留基础退出功能（按q退出）
+            if cv2.waitKey(1) == ord("q"):
+                break
+
+            frame_counter += 1
+            # 控制最大帧率（100 FPS）
+            time.sleep(max(0.0, 0.01 - (time.time() - current_time)))
+
+    except KeyboardInterrupt:
+        print("\n用户终止程序")
+    finally:
+        camera.release()
+        cv2.destroyAllWindows()
+        # 仅当启用且初始化成功时关闭TTL连接
+        if use_ttl and ttl is not None:
+            ttl.close()
+
+
+if __name__ == "__main__":
+    # 可在此处设置是否启用TTL通讯（use_ttl=True/False）
+    main(
+        target_color="red",
+        cam_id=1,
+        default_resolution=(640, 480),
+        use_ttl=False  # 设为False禁用TTL通讯
+    )