bushu

camera/siyi_caiji.py

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+import cv2
+import time
+import os
+import numpy as np
+from PIL import Image
+from skimage.metrics import structural_similarity as ssim
+import shutil
+
+# ================== 配置参数 ==================
+rtsp_url = "rtsp://192.168.144.25:8554/main.264"  # RTSP 流地址
+capture_interval = 1.0  # 每隔多少秒采集一次（单位：秒）
+SSIM_THRESHOLD = 0.9  # SSIM 相似度阈值，>0.9 认为太像
+output_dir = os.path.join("userdata", "image")  # 图片保存路径
+
+# 灰色判断参数
+GRAY_LOWER = 70
+GRAY_UPPER = 230
+GRAY_RATIO_THRESHOLD = 0.7
+
+# 创建输出目录
+if not os.path.exists(output_dir):
+    os.makedirs(output_dir)
+    print(f"已创建目录: {output_dir}")
+
+def is_large_gray(image, gray_lower=GRAY_LOWER, gray_upper=GRAY_UPPER, ratio_thresh=GRAY_RATIO_THRESHOLD):
+    """
+    判断图片是否大面积为灰色（R/G/B 都在 [gray_lower, gray_upper] 区间）
+    """
+    img_array = np.array(image)
+    if len(img_array.shape) != 3 or img_array.shape[2] != 3:
+        return True  # 非三通道图视为无效/灰色
+
+    h, w, _ = img_array.shape
+    total = h * w
+
+    gray_mask = (
+            (img_array[:, :, 0] >= gray_lower) & (img_array[:, :, 0] <= gray_upper) &
+            (img_array[:, :, 1] >= gray_lower) & (img_array[:, :, 1] <= gray_upper) &
+            (img_array[:, :, 2] >= gray_lower) & (img_array[:, :, 2] <= gray_upper)
+    )
+    gray_pixels = np.sum(gray_mask)
+    gray_ratio = gray_pixels / total
+
+    return gray_ratio > ratio_thresh
+
+max_retry_seconds = 10  # 最大重试时间为10秒
+retry_interval_seconds = 1  # 每隔1秒尝试重新连接一次
+
+last_gray = None  # 用于 SSIM 去重
+
+while True:  # 外层循环用于处理重新连接逻辑
+    cap = cv2.VideoCapture(rtsp_url)
+    start_time = time.time()  # 记录开始尝试连接的时间
+
+    while not cap.isOpened():
+        if time.time() - start_time >= max_retry_seconds:
+            print(f"已尝试重新连接 {max_retry_seconds} 秒，但仍无法获取视频流。")
+            exit()
+
+        print("无法打开摄像头，正在尝试重新连接...")
+        time.sleep(retry_interval_seconds)
+        cap = cv2.VideoCapture(rtsp_url)
+
+    print("✅ 开始读取视频流...")
+
+    last_capture_time = time.time()
+    frame_count = 0
+
+    try:
+        while True:
+            ret, frame = cap.read()
+            if not ret:
+                print("读取帧失败，可能是流中断或摄像头断开")
+                cap.release()
+                break
+
+            current_time = time.time()
+            if current_time - last_capture_time < capture_interval:
+                continue
+
+            frame_count += 1
+            last_capture_time = current_time
+
+            print(f"处理帧 {frame_count}")
+
+            rgb_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
+            pil_image = Image.fromarray(rgb_frame)
+
+            if is_large_gray(pil_image):
+                print(f"跳过：大面积灰色图像 (frame_{frame_count})")
+                continue
+
+            gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+            if last_gray is not None:
+                similarity = ssim(gray, last_gray)
+                if similarity > SSIM_THRESHOLD:
+                    print(f"跳过：与上一帧太相似 (SSIM={similarity:.3f})")
+                    continue
+
+            last_gray = gray.copy()
+
+            timestamp = time.strftime("%Y%m%d_%H%M%S")
+            ms = int((time.time() % 1) * 1000)
+            filename = f"frame_{timestamp}_{ms:03d}.png"
+            filepath = os.path.join(output_dir, filename)
+
+            total, used, free = shutil.disk_usage(output_dir)
+            if free < 1024 * 1024 * 20:  # 小于 20MB 就停止
+                print(f"❌ 磁盘空间严重不足（仅剩 {free / (1024**3):.2f} GB），停止运行。")
+                raise SystemExit(1)
+
+            try:
+                pil_image.save(filepath, format='PNG')
+                print(f"已保存: {filepath}")
+            except (OSError, IOError) as e:
+                error_msg = str(e)
+                if "No space left on device" in error_msg or "disk full" in error_msg.lower() or "quota" in error_msg.lower():
+                    print(f"磁盘空间不足，无法保存 {filepath}！错误: {e}")
+                    print("停止程序以防止无限错误。")
+                    raise SystemExit(1)
+                else:
+                    print(f"保存失败 {filename}: {e}（非磁盘空间问题，继续运行）")
+
+            cv2.imshow('Camera Stream (Live)', frame)
+            if cv2.waitKey(1) & 0xFF == ord('q'):
+                raise KeyboardInterrupt
+
+    except KeyboardInterrupt:
+        print("\n用户中断")
+        break
+
+    finally:
+        cap.release()
+        cv2.destroyAllWindows()
+        print(f"视频流已关闭，共处理 {frame_count} 帧。")
+
+print("程序结束")

camera/siyi_rtsp.py

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+import cv2
+
+def read_rtsp(rtsp_url):
+    # 创建 VideoCapture 对象
+    cap = cv2.VideoCapture(rtsp_url)
+    # 判断是否成功连接到 RTSP 流
+    if not cap.isOpened():
+        print("无法连接到 RTSP 流")
+        return
+
+    try:
+        while True:
+            # 读取一帧
+            ret, frame = cap.read()
+            if not ret:
+                print("无法读取帧")
+                break
+
+            # 显示帧
+            cv2.imshow('frame', frame)
+
+            # 按下 'q' 键退出
+            if cv2.waitKey(1) & 0xFF == ord('q'):
+                break
+    finally:
+        # 释放资源
+        cap.release()
+        cv2.destroyAllWindows()
+
+if __name__ == '__main__':
+    rtsp_url = "rtsp://192.168.144.25:8554/main.264"  # 替换为实际的 RTSP 地址
+    read_rtsp(rtsp_url)