new_size = (int(w * scaling_factor), int(h * scaling_factor)) return cv2.resize(image, new_size, interpolation=cv2.INTER_AREA) 读取图片 image = cv2.imread('example.jpg') 调整图片大小并保持比例 max_size = (800, 600) resized_image = resize_image_keep_aspect_ratio(image, max_size) ...
max_height =int(height * ratio)# 调整图像大小resized_image = cv2.resize(image, (max_width, max_height), interpolation=inter)# 保存图像cv2.imwrite(output_image_path, resized_image)# 可选:显示图像(注意,在生产环境中通常不会这样做)# cv2.imshow('Resized Image with Aspect Ratio', resized_image...
(width * ratio) max_height = int(height * ratio) resized_image = cv2.resize(image, (max_width, max_height), interpolation=cv2.INTER_AREA) cv2.imwrite(output_path, resized_image) # 示例:限制最大宽度为800,高度按比例调整 resize_image_keep_aspect_ratio("input.jpg", "output_resized_...
resized_img =resize_image(img, size)save_image(resized_img, output_folder, f'resized_{i}.jpg') if __name__ =="__main__": input_folder ='path/to/input/folder'output_folder ='path/to/output/folder'size = (256,256) # 目标尺寸batch_resize_images(input_folder, output_folder, size)...
of the mark image. # 获取特效图像的尺寸 wm, hm = markOrigin.size # Keep the ratio and resize the image to fit the width of face. # 保持这个比例并调整图像的大小以适应脸部的宽度 h1 = w*hm//wm # Resize. # 调整特效图像的尺寸 mark = markOrigin.resize((w, h1)) #...
resized_img.save(output_path)# 使用示例resize_image_pillow("input.jpg","output_pillow.jpg",800,600) AI代码助手复制代码 保持宽高比的调整 defresize_with_aspect_ratio(input_path, output_path, target_size, maintain_ratio=True):withImage.open(input_path)asimg:ifmaintain_ratio: ...
image_dst = cv2.resize(image_src, (int(w), dst_h)) h_, w_ = image_dst.shape[:2]returnimage_dst 我们使用img = self.resize_keep_aspectratio(image, [500, 500])即可进行调用,其中虽然传递为[500,500],实际上改方法会根据宽高比自动调整。
7、Opencv库“resize()”函数调整图像的尺寸 当一张图像尺寸不合适时,我们可以通过Opencv库中的“resize()”函数对它进行缩放来调整图像的尺寸。 ret, img = cap.read()#按帧读取图像if ret: '''crop the center of the frame and resize to (240, 320) while keeping image ratio. ''' ...
newif__name__=='__main__':# 第一种方法v_img=cv2.imread('v.jpg')# vertical imagescaled_v_img=resizeAndPad(v_img,(200,200),127)# 第二种方法(推荐)img='D:/test1.jpg'target_size=[500,100]new_image=resize_img_keep_ratio(img, target_size)cv2.imshow('result', new_image)cv2....
resized = cv2.resize(image, dim) cv2.imshow("Aspect Ratio Resize", resized) cv2.waitKey(0) 我们计算新宽度与旧宽度的比率(恰好是0.5)。 在此,我们指定新图像的尺寸dim 。我们知道,我们希望有一个300像素宽的图像,但我们必须乘以该比例计算新高度h。