{"id":1110991,"date":"2025-01-08T17:24:55","date_gmt":"2025-01-08T09:24:55","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1110991.html"},"modified":"2025-01-08T17:24:58","modified_gmt":"2025-01-08T09:24:58","slug":"python%e5%a6%82%e4%bd%95%e7%94%a8%e5%9b%be%e7%89%87%e6%9f%a5%e7%9c%8b%e5%99%a8%e5%8f%af%e4%bb%a5%e7%bc%a9%e6%94%be","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1110991.html","title":{"rendered":"python\u5982\u4f55\u7528\u56fe\u7247\u67e5\u770b\u5668\u53ef\u4ee5\u7f29\u653e"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25073603\/b11a44f7-f6cb-44bc-bf1d-264fff6057d0.webp\" alt=\"python\u5982\u4f55\u7528\u56fe\u7247\u67e5\u770b\u5668\u53ef\u4ee5\u7f29\u653e\" \/><\/p>\n<p><p> <strong>Python\u53ef\u4ee5\u4f7f\u7528\u56fe\u7247\u67e5\u770b\u5668\u8fdb\u884c\u7f29\u653e\uff0c\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528Pillow\u5e93\u548cOpenCV\u5e93\uff0c\u6b64\u5916\u8fd8\u53ef\u4ee5\u7ed3\u5408Tkinter\u5e93\u5b9e\u73b0\u4ea4\u4e92\u5f0f\u56fe\u7247\u67e5\u770b\u3002<\/strong>\u4ee5\u4e0b\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u4f7f\u7528Pillow\u5e93\u8fdb\u884c\u56fe\u7247\u7f29\u653e\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n<p><p>Pillow\u5e93\u662fPython\u4e2d\u5e7f\u6cdb\u4f7f\u7528\u7684\u56fe\u50cf\u5904\u7406\u5e93\uff0c\u5b83\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\uff0c\u5305\u62ec\u56fe\u50cf\u7f29\u653e\u3002\u4f7f\u7528Pillow\u5e93\u8fdb\u884c\u56fe\u7247\u7f29\u653e\u975e\u5e38\u7b80\u5355\uff0c\u53ea\u9700\u51e0\u884c\u4ee3\u7801\u5373\u53ef\u5b8c\u6210\u3002\u9996\u5148\u9700\u8981\u5b89\u88c5Pillow\u5e93\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install pillow<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u4ee3\u7801\u5b9e\u73b0\u56fe\u7247\u7f29\u653e\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from PIL import Image<\/p>\n<h2><strong>\u6253\u5f00\u56fe\u7247<\/strong><\/h2>\n<p>image = Image.open(&#39;example.jpg&#39;)<\/p>\n<h2><strong>\u8bbe\u7f6e\u7f29\u653e\u6bd4\u4f8b<\/strong><\/h2>\n<p>scale_factor = 0.5<\/p>\n<h2><strong>\u8ba1\u7b97\u65b0\u7684\u56fe\u7247\u5c3a\u5bf8<\/strong><\/h2>\n<p>new_width = int(image.width * scale_factor)<\/p>\n<p>new_height = int(image.height * scale_factor)<\/p>\n<h2><strong>\u7f29\u653e\u56fe\u7247<\/strong><\/h2>\n<p>resized_image = image.resize((new_width, new_height), Image.ANTIALIAS)<\/p>\n<h2><strong>\u663e\u793a\u7f29\u653e\u540e\u7684\u56fe\u7247<\/strong><\/h2>\n<p>resized_image.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4ee5\u4e0a\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u4f7f\u7528<code>Image.open<\/code>\u65b9\u6cd5\u6253\u5f00\u56fe\u7247\uff0c\u7136\u540e\u8bbe\u7f6e\u7f29\u653e\u6bd4\u4f8b<code>scale_factor<\/code>\uff0c\u901a\u8fc7\u8ba1\u7b97\u65b0\u7684\u56fe\u7247\u5c3a\u5bf8\uff0c\u4f7f\u7528<code>image.resize<\/code>\u65b9\u6cd5\u8fdb\u884c\u56fe\u7247\u7f29\u653e\uff0c\u6700\u540e\u4f7f\u7528<code>resized_image.show<\/code>\u65b9\u6cd5\u663e\u793a\u7f29\u653e\u540e\u7684\u56fe\u7247\u3002<\/p>\n<\/p>\n<p><p>\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u66f4\u591a\u5b9e\u73b0\u56fe\u7247\u7f29\u653e\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u4f7f\u7528Pillow\u5e93\u8fdb\u884c\u56fe\u7247\u7f29\u653e<\/h3>\n<\/p>\n<p><h4>1\u3001\u57fa\u672c\u7528\u6cd5<\/h4>\n<\/p>\n<p><p>Pillow\u5e93\u662fPython\u4e2d\u56fe\u50cf\u5904\u7406\u7684\u5f3a\u5927\u5de5\u5177\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u8fdb\u884c\u56fe\u7247\u7684\u7f29\u653e\u3001\u88c1\u526a\u3001\u65cb\u8f6c\u7b49\u64cd\u4f5c\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u57fa\u672c\u7684\u793a\u4f8b\uff0c\u5c55\u793a\u5982\u4f55\u4f7f\u7528Pillow\u5e93\u8fdb\u884c\u56fe\u7247\u7f29\u653e\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from PIL import Image<\/p>\n<p>def resize_image(input_image_path, output_image_path, size):<\/p>\n<p>    original_image = Image.open(input_image_path)<\/p>\n<p>    resized_image = original_image.resize(size, Image.ANTIALIAS)<\/p>\n<p>    resized_image.save(output_image_path)<\/p>\n<h2><strong>\u793a\u4f8b\u7528\u6cd5<\/strong><\/h2>\n<p>resize_image(&#39;input.jpg&#39;, &#39;output.jpg&#39;, (800, 600))<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u5b9a\u4e49\u4e86\u4e00\u4e2a<code>resize_image<\/code>\u51fd\u6570\uff0c\u63a5\u53d7\u8f93\u5165\u56fe\u7247\u8def\u5f84\u3001\u8f93\u51fa\u56fe\u7247\u8def\u5f84\u548c\u65b0\u7684\u5c3a\u5bf8\u4f5c\u4e3a\u53c2\u6570\u3002\u4f7f\u7528<code>Image.open<\/code>\u65b9\u6cd5\u6253\u5f00\u8f93\u5165\u56fe\u7247\uff0c\u4f7f\u7528<code>resize<\/code>\u65b9\u6cd5\u8fdb\u884c\u7f29\u653e\uff0c\u6700\u540e\u4fdd\u5b58\u7f29\u653e\u540e\u7684\u56fe\u7247\u5230\u8f93\u51fa\u8def\u5f84\u3002<\/p>\n<\/p>\n<p><h4>2\u3001\u4fdd\u6301\u5bbd\u9ad8\u6bd4<\/h4>\n<\/p>\n<p><p>\u5728\u5b9e\u9645\u4f7f\u7528\u4e2d\uff0c\u6211\u4eec\u901a\u5e38\u5e0c\u671b\u5728\u7f29\u653e\u56fe\u7247\u65f6\u4fdd\u6301\u56fe\u7247\u7684\u5bbd\u9ad8\u6bd4\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u65b9\u5f0f\u5b9e\u73b0\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from PIL import Image<\/p>\n<p>def resize_image_with_aspect_ratio(input_image_path, output_image_path, base_width):<\/p>\n<p>    original_image = Image.open(input_image_path)<\/p>\n<p>    width_percent = (base_width \/ float(original_image.size[0]))<\/p>\n<p>    new_height = int((float(original_image.size[1]) * float(width_percent)))<\/p>\n<p>    resized_image = original_image.resize((base_width, new_height), Image.ANTIALIAS)<\/p>\n<p>    resized_image.save(output_image_path)<\/p>\n<h2><strong>\u793a\u4f8b\u7528\u6cd5<\/strong><\/h2>\n<p>resize_image_with_aspect_ratio(&#39;input.jpg&#39;, &#39;output.jpg&#39;, 800)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u901a\u8fc7\u8ba1\u7b97\u65b0\u7684\u9ad8\u5ea6\u6765\u4fdd\u6301\u56fe\u7247\u7684\u5bbd\u9ad8\u6bd4\u3002\u6839\u636e\u65b0\u7684\u5bbd\u5ea6\uff0c\u8ba1\u7b97\u51fa\u5bbd\u5ea6\u6bd4\u4f8b<code>width_percent<\/code>\uff0c\u518d\u6839\u636e\u6bd4\u4f8b\u8ba1\u7b97\u51fa\u65b0\u7684\u9ad8\u5ea6<code>new_height<\/code>\uff0c\u6700\u540e\u8fdb\u884c\u7f29\u653e\u5e76\u4fdd\u5b58\u56fe\u7247\u3002<\/p>\n<\/p>\n<p><h3>\u4e8c\u3001\u4f7f\u7528OpenCV\u5e93\u8fdb\u884c\u56fe\u7247\u7f29\u653e<\/h3>\n<\/p>\n<p><p>OpenCV\u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u5e93\uff0c\u5e7f\u6cdb\u5e94\u7528\u4e8e\u56fe\u50cf\u5904\u7406\u3001\u89c6\u9891\u5904\u7406\u3001<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u7b49\u9886\u57df\u3002OpenCV\u4e5f\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\u3002\u9996\u5148\u9700\u8981\u5b89\u88c5OpenCV\u5e93\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install opencv-python<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u4ee3\u7801\u5b9e\u73b0\u56fe\u7247\u7f29\u653e\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import cv2<\/p>\n<p>def resize_image(input_image_path, output_image_path, scale_percent):<\/p>\n<p>    original_image = cv2.imread(input_image_path)<\/p>\n<p>    width = int(original_image.shape[1] * scale_percent \/ 100)<\/p>\n<p>    height = int(original_image.shape[0] * scale_percent \/ 100)<\/p>\n<p>    new_size = (width, height)<\/p>\n<p>    resized_image = cv2.resize(original_image, new_size, interpolation=cv2.INTER_AREA)<\/p>\n<p>    cv2.imwrite(output_image_path, resized_image)<\/p>\n<h2><strong>\u793a\u4f8b\u7528\u6cd5<\/strong><\/h2>\n<p>resize_image(&#39;input.jpg&#39;, &#39;output.jpg&#39;, 50)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u5b9a\u4e49\u4e86\u4e00\u4e2a<code>resize_image<\/code>\u51fd\u6570\uff0c\u63a5\u53d7\u8f93\u5165\u56fe\u7247\u8def\u5f84\u3001\u8f93\u51fa\u56fe\u7247\u8def\u5f84\u548c\u7f29\u653e\u767e\u5206\u6bd4<code>scale_percent<\/code>\u4f5c\u4e3a\u53c2\u6570\u3002\u4f7f\u7528<code>cv2.imread<\/code>\u65b9\u6cd5\u8bfb\u53d6\u8f93\u5165\u56fe\u7247\uff0c\u8ba1\u7b97\u65b0\u7684\u5bbd\u5ea6\u548c\u9ad8\u5ea6\uff0c\u4f7f\u7528<code>cv2.resize<\/code>\u65b9\u6cd5\u8fdb\u884c\u7f29\u653e\uff0c\u6700\u540e\u4f7f\u7528<code>cv2.imwrite<\/code>\u65b9\u6cd5\u4fdd\u5b58\u7f29\u653e\u540e\u7684\u56fe\u7247\u3002<\/p>\n<\/p>\n<p><h3>\u4e09\u3001\u4f7f\u7528Tkinter\u5e93\u5b9e\u73b0\u4ea4\u4e92\u5f0f\u56fe\u7247\u67e5\u770b<\/h3>\n<\/p>\n<p><p>Tkinter\u662fPython\u7684\u6807\u51c6GUI\u5e93\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u521b\u5efa\u56fe\u5f62\u7528\u6237\u754c\u9762\u3002\u7ed3\u5408Pillow\u5e93\u548cTkinter\u5e93\uff0c\u53ef\u4ee5\u5b9e\u73b0\u4ea4\u4e92\u5f0f\u7684\u56fe\u7247\u67e5\u770b\u548c\u7f29\u653e\u529f\u80fd\u3002\u9996\u5148\u9700\u8981\u5b89\u88c5Pillow\u5e93\u548cTkinter\u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install pillow<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff0c\u5c55\u793a\u5982\u4f55\u4f7f\u7528Tkinter\u5e93\u5b9e\u73b0\u4ea4\u4e92\u5f0f\u56fe\u7247\u7f29\u653e\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import tkinter as tk<\/p>\n<p>from tkinter import filedialog<\/p>\n<p>from PIL import Image, ImageTk<\/p>\n<p>class ImageViewer(tk.Tk):<\/p>\n<p>    def __init__(self):<\/p>\n<p>        super().__init__()<\/p>\n<p>        self.title(&quot;Image Viewer&quot;)<\/p>\n<p>        self.geometry(&quot;800x600&quot;)<\/p>\n<p>        self.image_label = tk.Label(self)<\/p>\n<p>        self.image_label.pack()<\/p>\n<p>        self.open_button = tk.Button(self, text=&quot;Open Image&quot;, command=self.open_image)<\/p>\n<p>        self.open_button.pack()<\/p>\n<p>        self.scale_label = tk.Label(self, text=&quot;Scale:&quot;)<\/p>\n<p>        self.scale_label.pack()<\/p>\n<p>        self.scale_entry = tk.Entry(self)<\/p>\n<p>        self.scale_entry.pack()<\/p>\n<p>        self.scale_button = tk.Button(self, text=&quot;Scale Image&quot;, command=self.scale_image)<\/p>\n<p>        self.scale_button.pack()<\/p>\n<p>        self.original_image = None<\/p>\n<p>        self.resized_image = None<\/p>\n<p>    def open_image(self):<\/p>\n<p>        file_path = filedialog.askopenfilename()<\/p>\n<p>        if file_path:<\/p>\n<p>            self.original_image = Image.open(file_path)<\/p>\n<p>            self.display_image(self.original_image)<\/p>\n<p>    def scale_image(self):<\/p>\n<p>        if self.original_image:<\/p>\n<p>            scale_factor = float(self.scale_entry.get())<\/p>\n<p>            new_width = int(self.original_image.width * scale_factor)<\/p>\n<p>            new_height = int(self.original_image.height * scale_factor)<\/p>\n<p>            self.resized_image = self.original_image.resize((new_width, new_height), Image.ANTIALIAS)<\/p>\n<p>            self.display_image(self.resized_image)<\/p>\n<p>    def display_image(self, image):<\/p>\n<p>        tk_image = ImageTk.PhotoImage(image)<\/p>\n<p>        self.image_label.config(image=tk_image)<\/p>\n<p>        self.image_label.image = tk_image<\/p>\n<p>if __name__ == &quot;__m<a href=\"https:\/\/docs.pingcode.com\/blog\/59162.html\" target=\"_blank\">AI<\/a>n__&quot;:<\/p>\n<p>    app = ImageViewer()<\/p>\n<p>    app.mainloop()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u521b\u5efa\u4e86\u4e00\u4e2a<code>ImageViewer<\/code>\u7c7b\uff0c\u7ee7\u627f\u81ea<code>tk.Tk<\/code>\uff0c\u7528\u4e8e\u521b\u5efa\u56fe\u5f62\u7528\u6237\u754c\u9762\u3002\u6211\u4eec\u6dfb\u52a0\u4e86\u6253\u5f00\u56fe\u7247\u6309\u94ae\u3001\u7f29\u653e\u6bd4\u4f8b\u8f93\u5165\u6846\u548c\u7f29\u653e\u6309\u94ae\u3002\u901a\u8fc7<code>open_image<\/code>\u65b9\u6cd5\u6253\u5f00\u56fe\u7247\uff0c\u4f7f\u7528<code>scale_image<\/code>\u65b9\u6cd5\u8fdb\u884c\u56fe\u7247\u7f29\u653e\uff0c\u5e76\u4f7f\u7528<code>display_image<\/code>\u65b9\u6cd5\u663e\u793a\u56fe\u7247\u3002<\/p>\n<\/p>\n<p><h3>\u56db\u3001\u4f7f\u7528Matplotlib\u5e93\u8fdb\u884c\u56fe\u7247\u7f29\u653e<\/h3>\n<\/p>\n<p><p>Matplotlib\u662f\u4e00\u4e2a\u7528\u4e8e\u7ed8\u5236\u56fe\u5f62\u7684Python\u5e93\uff0c\u5e38\u7528\u4e8e\u6570\u636e\u53ef\u89c6\u5316\u3002Matplotlib\u4e5f\u53ef\u4ee5\u7528\u4e8e\u56fe\u50cf\u5904\u7406\uff0c\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff0c\u5c55\u793a\u5982\u4f55\u4f7f\u7528Matplotlib\u5e93\u8fdb\u884c\u56fe\u7247\u7f29\u653e\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<p>import matplotlib.image as mpimg<\/p>\n<p>def resize_image(input_image_path, scale_percent):<\/p>\n<p>    original_image = mpimg.imread(input_image_path)<\/p>\n<p>    new_width = int(original_image.shape[1] * scale_percent \/ 100)<\/p>\n<p>    new_height = int(original_image.shape[0] * scale_percent \/ 100)<\/p>\n<p>    resized_image = cv2.resize(original_image, (new_width, new_height), interpolation=cv2.INTER_AREA)<\/p>\n<p>    return resized_image<\/p>\n<h2><strong>\u793a\u4f8b\u7528\u6cd5<\/strong><\/h2>\n<p>input_image_path = &#39;input.jpg&#39;<\/p>\n<p>scale_percent = 50<\/p>\n<p>resized_image = resize_image(input_image_path, scale_percent)<\/p>\n<p>plt.imshow(resized_image)<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u5b9a\u4e49\u4e86\u4e00\u4e2a<code>resize_image<\/code>\u51fd\u6570\uff0c\u63a5\u53d7\u8f93\u5165\u56fe\u7247\u8def\u5f84\u548c\u7f29\u653e\u767e\u5206\u6bd4\u4f5c\u4e3a\u53c2\u6570\u3002\u4f7f\u7528<code>mpimg.imread<\/code>\u65b9\u6cd5\u8bfb\u53d6\u8f93\u5165\u56fe\u7247\uff0c\u8ba1\u7b97\u65b0\u7684\u5bbd\u5ea6\u548c\u9ad8\u5ea6\uff0c\u4f7f\u7528<code>cv2.resize<\/code>\u65b9\u6cd5\u8fdb\u884c\u7f29\u653e\uff0c\u6700\u540e\u4f7f\u7528<code>plt.imshow<\/code>\u65b9\u6cd5\u663e\u793a\u7f29\u653e\u540e\u7684\u56fe\u7247\u3002<\/p>\n<\/p>\n<p><h3>\u4e94\u3001\u4f7f\u7528Scikit-Image\u5e93\u8fdb\u884c\u56fe\u7247\u7f29\u653e<\/h3>\n<\/p>\n<p><p>Scikit-Image\u662f\u4e00\u4e2a\u7528\u4e8e\u56fe\u50cf\u5904\u7406\u7684Python\u5e93\uff0c\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff0c\u5c55\u793a\u5982\u4f55\u4f7f\u7528Scikit-Image\u5e93\u8fdb\u884c\u56fe\u7247\u7f29\u653e\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from skimage import io, transform<\/p>\n<p>def resize_image(input_image_path, scale_percent):<\/p>\n<p>    original_image = io.imread(input_image_path)<\/p>\n<p>    new_width = int(original_image.shape[1] * scale_percent \/ 100)<\/p>\n<p>    new_height = int(original_image.shape[0] * scale_percent \/ 100)<\/p>\n<p>    resized_image = transform.resize(original_image, (new_height, new_width), anti_aliasing=True)<\/p>\n<p>    return resized_image<\/p>\n<h2><strong>\u793a\u4f8b\u7528\u6cd5<\/strong><\/h2>\n<p>input_image_path = &#39;input.jpg&#39;<\/p>\n<p>scale_percent = 50<\/p>\n<p>resized_image = resize_image(input_image_path, scale_percent)<\/p>\n<p>io.imshow(resized_image)<\/p>\n<p>io.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u5b9a\u4e49\u4e86\u4e00\u4e2a<code>resize_image<\/code>\u51fd\u6570\uff0c\u63a5\u53d7\u8f93\u5165\u56fe\u7247\u8def\u5f84\u548c\u7f29\u653e\u767e\u5206\u6bd4\u4f5c\u4e3a\u53c2\u6570\u3002\u4f7f\u7528<code>io.imread<\/code>\u65b9\u6cd5\u8bfb\u53d6\u8f93\u5165\u56fe\u7247\uff0c\u8ba1\u7b97\u65b0\u7684\u5bbd\u5ea6\u548c\u9ad8\u5ea6\uff0c\u4f7f\u7528<code>transform.resize<\/code>\u65b9\u6cd5\u8fdb\u884c\u7f29\u653e\uff0c\u6700\u540e\u4f7f\u7528<code>io.imshow<\/code>\u65b9\u6cd5\u663e\u793a\u7f29\u653e\u540e\u7684\u56fe\u7247\u3002<\/p>\n<\/p>\n<p><h3>\u516d\u3001\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>\u901a\u8fc7\u4ee5\u4e0a\u4ecb\u7ecd\uff0c\u6211\u4eec\u4e86\u89e3\u4e86\u591a\u79cd\u4f7f\u7528Python\u8fdb\u884c\u56fe\u7247\u7f29\u653e\u7684\u65b9\u6cd5\uff0c\u5305\u62ec\u4f7f\u7528Pillow\u5e93\u3001OpenCV\u5e93\u3001Tkinter\u5e93\u3001Matplotlib\u5e93\u548cScikit-Image\u5e93\u3002\u6bcf\u79cd\u65b9\u6cd5\u90fd\u6709\u5176\u7279\u70b9\u548c\u9002\u7528\u573a\u666f\uff0c\u53ef\u4ee5\u6839\u636e\u5b9e\u9645\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u8fdb\u884c\u56fe\u7247\u7f29\u653e\u3002<\/p>\n<\/p>\n<p><p><strong>Pillow\u5e93<\/strong>\u9002\u7528\u4e8e\u5927\u591a\u6570\u56fe\u50cf\u5904\u7406\u4efb\u52a1\uff0c\u529f\u80fd\u5f3a\u5927\u4e14\u6613\u4e8e\u4f7f\u7528\uff1b<strong>OpenCV\u5e93<\/strong>\u9002\u7528\u4e8e\u9700\u8981\u8fdb\u884c\u590d\u6742\u56fe\u50cf\u5904\u7406\u548c\u8ba1\u7b97\u673a\u89c6\u89c9\u4efb\u52a1\u7684\u573a\u666f\uff1b<strong>Tkinter\u5e93<\/strong>\u9002\u7528\u4e8e\u9700\u8981\u521b\u5efa\u56fe\u5f62\u7528\u6237\u754c\u9762\u7684\u4ea4\u4e92\u5f0f\u5e94\u7528\u7a0b\u5e8f\uff1b<strong>Matplotlib\u5e93<\/strong>\u9002\u7528\u4e8e\u6570\u636e\u53ef\u89c6\u5316\u548c\u7b80\u5355\u7684\u56fe\u50cf\u5904\u7406\u4efb\u52a1\uff1b<strong>Scikit-Image\u5e93<\/strong>\u9002\u7528\u4e8e\u9700\u8981\u8fdb\u884c\u79d1\u5b66\u8ba1\u7b97\u548c\u56fe\u50cf\u5206\u6790\u7684\u573a\u666f\u3002<\/p>\n<\/p>\n<p><p>\u901a\u8fc7\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u6211\u4eec\u53ef\u4ee5\u65b9\u4fbf\u5730\u5b9e\u73b0\u56fe\u7247\u7f29\u653e\u529f\u80fd\uff0c\u6ee1\u8db3\u4e0d\u540c\u7684\u5e94\u7528\u9700\u6c42\u3002\u5e0c\u671b\u672c\u6587\u5bf9\u60a8\u6709\u6240\u5e2e\u52a9\uff0c\u80fd\u591f\u66f4\u597d\u5730\u7406\u89e3\u548c\u5e94\u7528Python\u8fdb\u884c\u56fe\u7247\u7f29\u653e\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u5b9e\u73b0\u56fe\u7247\u7f29\u653e\u529f\u80fd\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u56fe\u50cf\u5904\u7406\u5e93\u5982PIL\uff08Pillow\uff09\u6765\u5b9e\u73b0\u56fe\u7247\u7684\u7f29\u653e\u529f\u80fd\u3002\u901a\u8fc7\u8c03\u7528<code>resize()<\/code>\u65b9\u6cd5\uff0c\u53ef\u4ee5\u6307\u5b9a\u65b0\u7684\u5bbd\u5ea6\u548c\u9ad8\u5ea6\uff0c\u4ece\u800c\u8c03\u6574\u56fe\u50cf\u7684\u5927\u5c0f\u3002\u6b64\u5916\uff0c\u4e5f\u53ef\u4ee5\u6839\u636e\u6bd4\u4f8b\u8fdb\u884c\u7f29\u653e\uff0c\u53ea\u9700\u8ba1\u7b97\u65b0\u7684\u5bbd\u9ad8\u6bd4\u4f8b\u5e76\u5e94\u7528\u5373\u53ef\u3002<\/p>\n<p><strong>\u662f\u5426\u53ef\u4ee5\u5728\u7f29\u653e\u8fc7\u7a0b\u4e2d\u4fdd\u6301\u56fe\u7247\u7684\u6bd4\u4f8b\uff1f<\/strong><br \/>\u5f53\u7136\u53ef\u4ee5\u3002\u5728\u7f29\u653e\u56fe\u7247\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u8ba1\u7b97\u56fe\u7247\u7684\u65b0\u5bbd\u5ea6\u548c\u9ad8\u5ea6\uff0c\u786e\u4fdd\u4fdd\u6301\u539f\u6709\u7684\u5bbd\u9ad8\u6bd4\u3002\u901a\u5e38\u53ef\u4ee5\u9009\u62e9\u4e00\u4e2a\u7f29\u653e\u56e0\u5b50\uff0c\u5e76\u6839\u636e\u8fd9\u4e2a\u56e0\u5b50\u6765\u8c03\u6574\u5bbd\u5ea6\u548c\u9ad8\u5ea6\uff0c\u786e\u4fdd\u56fe\u50cf\u4e0d\u5931\u771f\u3002<\/p>\n<p><strong>\u4f7f\u7528\u54ea\u4e9bPython\u5e93\u53ef\u4ee5\u521b\u5efa\u4e00\u4e2a\u5177\u6709\u7f29\u653e\u529f\u80fd\u7684\u56fe\u7247\u67e5\u770b\u5668\uff1f<\/strong><br \/>\u521b\u5efa\u4e00\u4e2a\u56fe\u7247\u67e5\u770b\u5668\u53ef\u4ee5\u4f7f\u7528\u591a\u4e2a\u5e93\uff0c\u6700\u5e38\u7528\u7684\u662fTkinter\u914d\u5408PIL\u3002Tkinter\u63d0\u4f9b\u4e86\u4e00\u4e2a\u7b80\u5355\u7684GUI\u754c\u9762\uff0c\u800cPIL\u5219\u53ef\u4ee5\u5904\u7406\u56fe\u50cf\u7684\u52a0\u8f7d\u548c\u7f29\u653e\u3002\u6b64\u5916\uff0cOpenCV\u548cmatplotlib\u4e5f\u662f\u4e0d\u9519\u7684\u9009\u62e9\uff0c\u5c24\u5176\u5728\u9700\u8981\u590d\u6742\u7684\u56fe\u50cf\u5904\u7406\u65f6\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u53ef\u4ee5\u4f7f\u7528\u56fe\u7247\u67e5\u770b\u5668\u8fdb\u884c\u7f29\u653e\uff0c\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528Pillow\u5e93\u548cOpenCV\u5e93\uff0c\u6b64\u5916\u8fd8\u53ef\u4ee5\u7ed3\u5408Tki [&hellip;]","protected":false},"author":3,"featured_media":1110996,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1110991"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=1110991"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1110991\/revisions"}],"predecessor-version":[{"id":1110997,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1110991\/revisions\/1110997"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1110996"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1110991"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1110991"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1110991"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}