python 脚手架

cvideo2.py

@@ -0,0 +1,59 @@
+import cv2
+import numpy as np
+import sys
+
+def convert_to_red_pseudo_color(input_path, output_path):
+    """
+    将自然光视频转换为红色伪彩效果
+    """
+    # 打开视频
+    cap = cv2.VideoCapture(input_path)
+    if not cap.isOpened():
+        print("❌ 无法打开视频文件，请检查路径是否正确")
+        return
+
+    # 获取视频参数
+    fps = cap.get(cv2.CAP_PROP_FPS)
+    width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
+    height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
+    total_frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
+    print(f"✅ 视频已加载，总帧数: {total_frames}, 分辨率: {width}x{height}, 帧率: {fps}")
+
+    # 创建视频写入对象
+    fourcc = cv2.VideoWriter_fourcc(*'mp4v')
+    out = cv2.VideoWriter(output_path, fourcc, fps, (width, height))
+
+    frame_count = 0
+    while True:
+        ret, frame = cap.read()
+        if not ret:
+            break
+
+        # 转为灰度图
+        gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+
+        # 纯红色伪彩
+        red_pseudo = np.zeros_like(frame)
+        red_pseudo[:, :, 2] = gray  # BGR 红色通道
+
+        # 增强效果
+        red_pseudo = cv2.convertScaleAbs(red_pseudo, alpha=1.6, beta=35)
+
+        out.write(red_pseudo)
+        frame_count += 1
+
+        if frame_count % 100 == 0:
+            print(f"处理进度: {frame_count}/{total_frames} ({frame_count/total_frames*100:.1f}%)")
+
+    cap.release()
+    out.release()
+    print("\n🎉 转换完成！")
+
+if __name__ == "__main__":
+    # 支持命令行传参
+    if len(sys.argv) != 3:
+        print("使用方法：python 脚本名.py 输入视频路径 输出视频路径")
+    else:
+        input_video = sys.argv[1]
+        output_video = sys.argv[2]
+        convert_to_red_pseudo_color(input_video, output_video)