用Python打造精彩动画与视频，7.1 视频处理中的图像处理技巧

E:\PycharmProjects\pythonProject3\frame.jpg.PNG

E:\PycharmProjects\pythonProject3\image1.jpg.PNG

E:\PycharmProjects\pythonProject3\image2.jpg.png

E:\PycharmProjects\pythonProject3\video.mp4.mp4

pip install opencv-python

import cv2

import os

# 设置文件路径

frame_path = r'E:\PycharmProjects\pythonProject3\frame.jpg.PNG'

# 检查路径是否存在

if not os.path.exists(frame_path):

    print(f"文件路径不存在: {frame_path}")

else:

    print(f"文件路径存在: {frame_path}")

# 读取视频帧

frame = cv2.imread(frame_path)

if frame is None:

    print(f"无法读取文件: {frame_path}")

else:

    # 应用高斯滤波

    gaussian_blurred = cv2.GaussianBlur(frame, (5, 5), 0)

    # 显示处理结果

    cv2.imshow('Gaussian Blurred', gaussian_blurred)

    cv2.waitKey(0)

    cv2.destroyAllWindows()

# 应用Canny边缘检测

edges = cv2.Canny(frame, 100, 200)

# 显示处理结果

cv2.imshow('Edges', edges)

cv2.waitKey(0)

cv2.destroyAllWindows()

# 转换为灰度图像

gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

# 应用直方图均衡

equalized = cv2.equalizeHist(gray)

# 显示处理结果

cv2.imshow('Equalized', equalized)

cv2.waitKey(0)

cv2.destroyAllWindows()

 设置文件路径

image1_path = r'E:\PycharmProjects\pythonProject3\image1.jpg.PNG'

image2_path = r'E:\PycharmProjects\pythonProject3\image2.jpg.png'

# 读取两幅图像

image1 = cv2.imread(image1_path)

image2 = cv2.imread(image2_path)

if image1 is None or image2 is None:

    print(f"无法读取文件: {image1_path} 或 {image2_path}")

else:

    # ORB特征点检测

    orb = cv2.ORB_create()

    keypoints1, descriptors1 = orb.detectAndCompute(image1, None)

    keypoints2, descriptors2 = orb.detectAndCompute(image2, None)

    # 特征点匹配

    bf = cv2.BFMatcher(cv2.NORM_HAMMING, crossCheck=True)

    matches = bf.match(descriptors1, descriptors2)

    matches = sorted(matches, key=lambda x: x.distance)

    # 绘制匹配结果

    matched_image = cv2.drawMatches(image1, keypoints1, image2, keypoints2, matches[:10], None, flags=cv2.DrawMatchesFlags_NOT_DRAW_SINGLE_POINTS)

    # 显示匹配结果

    cv2.imshow('Matches', matched_image)

    cv2.waitKey(0)

    cv2.destroyAllWindows()

# 设置文件路径

video_path = r'E:\PycharmProjects\pythonProject3\video.mp4.mp4'

# 初始化视频捕捉

cap = cv2.VideoCapture(video_path)

ret, prev_frame = cap.read()

if not ret:

    print(f"无法读取视频文件: {video_path}")

else:

    prev_gray = cv2.cvtColor(prev_frame, cv2.COLOR_BGR2GRAY)

    prev_pts = cv2.goodFeaturesToTrack(prev_gray, maxCorners=200, qualityLevel=0.01, minDistance=30, blockSize=3)

    while cap.isOpened():

        ret, frame = cap.read()

        if not ret:

            break

                gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

        next_pts, status, _ = cv2.calcOpticalFlowPyrLK(prev_gray, gray, prev_pts, None)

                good_old = prev_pts[status == 1]

        good_new = next_pts[status == 1]

        matrix, _ = cv2.estimateAffinePartial2D(good_old, good_new)

                stabilized_frame = cv2.warpAffine(frame, matrix, (frame.shape[1], frame.shape[0]))

                cv2.imshow('Stabilized Video', stabilized_frame)

                if cv2.waitKey(1) & 0xFF == ord('q'):

            break

                prev_gray = gray.copy()

        prev_pts = good_new.reshape(-1, 1, 2)

    cap.release()

    cv2.destroyAllWindows()