实例代码如下：import cv2# 读取图像image = cv2.imread('image.jpg')# 获取图像的宽高height, width = image.shape[:2]# 设置目标图像的新宽高new_width = 500new_height = int((new_width * height) / width)# 调整图像大小resized_image = cv2.resize(image, (new_width, new_height))# 展示调整...
opencv用resize放大图像尺寸 文心快码BaiduComate 在OpenCV中,使用resize函数可以方便地放大图像的尺寸。以下是具体的步骤和代码示例,用于说明如何使用resize函数来放大图像: 1. 读取原始图像 首先,使用imread函数读取原始图像。确保图像路径正确,并且图像文件可以成功加载。 python import cv2 # 读取原始图像 image_path =...
cout<<"front of the scale image.rows:"<< clone_frame.rows <<""<<"image.cols:"<< clone_frame.cols <<endl;doublescale =0.5;//放缩会导致图像失真,缩小时interpolation使用INTER_AREA,放大时使用INTER_LINEAR减少失真resize(clone_frame, clone_frame, Size(int(frame.cols *scale),int(frame.rows *...
image2X_INTER_NEAREST=image_resize(image,re_width,re_height,cv::INTER_NEAREST,num); DEBUG_TIME(T1); image2X_INTER_LINEAR=image_resize(image,re_width,re_height,cv::INTER_LINEAR,num); DEBUG_TIME(T2); image2X_INTER_AREA=image_resize(image,re_width,re_height,cv::INTER_AREA,num); DEBUG_...
一、Opencv官方文档中resize的描述: resize Resizes an image. C++: void resize(InputArray src, OutputArray dst, Size dsize, double fx=0, double fy=0, int interpolation=INTER_LINEAR ) Python: cv2.resize(src, dsize[, dst[, fx[, fy[, interpolation]]]) → dst C...
在OpenCV中,我们可以使用cv2.resize()函数来调整图像的尺寸。 以下是一个将图像放大两倍的例子: import cv2 # 加载图像 image = cv2.imread('image.jpg') # 获取图像的原始尺寸 height, width = image.shape[:2] # 定义放大后的尺寸 new_width = width * 2 new_height = height * 2 # 调整图像的尺寸...
以保持纵横比 # 使用resize函数调整图像大小 resized_image = cv2.resize(image, (new_width, new_height), interpolation=cv2.INTER_LINEAR) # 显示原始图像和调整大小后的图像 cv2.imshow('Original Image', image) cv2.imshow('Resized Image', resized_image) # 等待按键并关闭窗口 cv2.waitKey(0) cv2....
# resize image resized =cv2.resize(img, dim, interpolation =cv2.INTER_AREA) print('Resized Dimensions : ',resized.shape) cv2.imshow("Resized image", resized) cv2.waitKey(0) cv2.destroyAllWindows() 结果: Original Dimensions : (149, 200, 4) ...
cv::resize(image, dest, cv::Size(width, height),0,0, interpolation);//最近邻插值}returndest; }intmain(){ string path ="../1.jpg"; cv::Mat image = cv::imread(path); cv::resize(image, image, cv::Size(1000,1000));intre_width =900;intre_height =900;intnum=10; ...
import cv2 def scale_image(image, scale): width = int(image.shape[1] * scale) height = int(image.shape[0] * scale) return cv2.resize(image, (width, height)) # 读取图片 img = cv2.imread("lenna.jpg") # 显示图片 cv2.imshow("img-org", img) cv2.imshow("img-scale-0.8", scale_...