{"id":988705,"date":"2024-12-27T08:04:38","date_gmt":"2024-12-27T00:04:38","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/988705.html"},"modified":"2024-12-27T08:04:40","modified_gmt":"2024-12-27T00:04:40","slug":"python%e5%a6%82%e4%bd%95%e8%ae%a9%e5%9b%be%e7%89%87%e6%98%a0%e5%b0%84","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/988705.html","title":{"rendered":"Python\u5982\u4f55\u8ba9\u56fe\u7247\u6620\u5c04"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25064234\/5f24fd81-dd30-4d4d-ba7d-ee43216fb41c.webp\" alt=\"Python\u5982\u4f55\u8ba9\u56fe\u7247\u6620\u5c04\" \/><\/p>\n<p><p> <strong>Python\u8ba9\u56fe\u7247\u6620\u5c04\u7684\u65b9\u6cd5\u6709\uff1a\u4f7f\u7528PIL\u5e93\u4e2d\u7684Image\u6a21\u5757\u3001\u5229\u7528OpenCV\u5e93\u8fdb\u884c\u56fe\u50cf\u5904\u7406\u3001\u4f7f\u7528Matplotlib\u5e93\u8fdb\u884c\u56fe\u50cf\u663e\u793a\u3001\u901a\u8fc7Scikit-image\u5e93\u8fdb\u884c\u56fe\u50cf\u5206\u6790\u3001\u5e94\u7528Numpy\u8fdb\u884c\u50cf\u7d20\u64cd\u4f5c\u3002<\/strong> \u5176\u4e2d\uff0c\u4f7f\u7528PIL\u5e93\u4e2d\u7684Image\u6a21\u5757\u662f\u6700\u5e38\u89c1\u7684\u65b9\u6cd5\uff0c\u56e0\u4e3a\u5b83\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u56fe\u7247\u5904\u7406\u529f\u80fd\uff0c\u5305\u62ec\u56fe\u50cf\u7684\u6253\u5f00\u3001\u663e\u793a\u3001\u4fdd\u5b58\u3001\u53d8\u6362\u548c\u6ee4\u955c\u7b49\u64cd\u4f5c\u3002\u63a5\u4e0b\u6765\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528PIL\u5e93\u4e2d\u7684Image\u6a21\u5757\u8fdb\u884c\u56fe\u7247\u6620\u5c04\u3002<\/p>\n<\/p>\n<p><p>\u4e00\u3001PIL\u5e93\u4e2d\u7684IMAGE\u6a21\u5757<\/p>\n<\/p>\n<p><p>PIL\uff08Python Imaging Library\uff09\u662fPython\u4e2d\u6700\u5e38\u7528\u7684\u56fe\u50cf\u5904\u7406\u5e93\u4e4b\u4e00\uff0c\u901a\u8fc7\u5b83\u53ef\u4ee5\u8f7b\u677e\u5730\u8fdb\u884c\u56fe\u50cf\u7684\u6253\u5f00\u3001\u7f16\u8f91\u548c\u4fdd\u5b58\u3002Image\u6a21\u5757\u662fPIL\u5e93\u4e2d\u7684\u6838\u5fc3\u6a21\u5757\uff0c\u63d0\u4f9b\u4e86\u591a\u79cd\u56fe\u50cf\u5904\u7406\u7684\u529f\u80fd\u3002<\/p>\n<\/p>\n<ol>\n<li>\u5b89\u88c5\u4e0e\u5bfc\u5165PIL\u5e93<\/li>\n<\/ol>\n<p><p>\u8981\u4f7f\u7528PIL\u5e93\uff0c\u9996\u5148\u9700\u8981\u5b89\u88c5Pillow\uff0c\u8fd9\u662fPIL\u7684\u4e00\u4e2a\u6d3e\u751f\u7248\u672c\uff0c\u53ef\u4ee5\u901a\u8fc7\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\u5bfc\u5165Image\u6a21\u5757\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from PIL import Image<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li>\u6253\u5f00\u4e0e\u663e\u793a\u56fe\u50cf<\/li>\n<\/ol>\n<p><p>\u4f7f\u7528PIL\u5e93\u4e2d\u7684Image\u6a21\u5757\uff0c\u53ef\u4ee5\u8f7b\u677e\u5730\u6253\u5f00\u548c\u663e\u793a\u56fe\u50cf\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u6253\u5f00\u56fe\u50cf<\/p>\n<p>image = Image.open(&#39;path_to_image.jpg&#39;)<\/p>\n<h2><strong>\u663e\u793a\u56fe\u50cf<\/strong><\/h2>\n<p>image.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"3\">\n<li>\u56fe\u50cf\u6620\u5c04\u64cd\u4f5c<\/li>\n<\/ol>\n<p><p>\u5728\u56fe\u50cf\u5904\u7406\u4e2d\uff0c\u6620\u5c04\u901a\u5e38\u6d89\u53ca\u5230\u5bf9\u56fe\u50cf\u8fdb\u884c\u53d8\u6362\u548c\u5904\u7406\uff0c\u4f7f\u5176\u9002\u5e94\u7279\u5b9a\u7684\u9700\u6c42\u3002PIL\u5e93\u4e2d\u7684Image\u6a21\u5757\u63d0\u4f9b\u4e86\u591a\u79cd\u6620\u5c04\u64cd\u4f5c\uff0c\u4f8b\u5982\u65cb\u8f6c\u3001\u7f29\u653e\u3001\u88c1\u526a\u548c\u6ee4\u955c\u7b49\u3002<\/p>\n<\/p>\n<ul>\n<li>\u65cb\u8f6c\u56fe\u50cf<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\"># \u65cb\u8f6c\u56fe\u50cf<\/p>\n<p>rotated_image = image.rotate(45)<\/p>\n<p>rotated_image.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ul>\n<li>\u7f29\u653e\u56fe\u50cf<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\"># \u7f29\u653e\u56fe\u50cf<\/p>\n<p>scaled_image = image.resize((100, 100))<\/p>\n<p>scaled_image.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ul>\n<li>\u88c1\u526a\u56fe\u50cf<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\"># \u88c1\u526a\u56fe\u50cf<\/p>\n<p>cropped_image = image.crop((10, 10, 200, 200))<\/p>\n<p>cropped_image.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ul>\n<li>\u5e94\u7528\u6ee4\u955c<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">from PIL import ImageFilter<\/p>\n<h2><strong>\u5e94\u7528\u6a21\u7cca\u6ee4\u955c<\/strong><\/h2>\n<p>blurred_image = image.filter(ImageFilter.BLUR)<\/p>\n<p>blurred_image.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4e8c\u3001\u5229\u7528OPENCV\u5e93\u8fdb\u884c\u56fe\u50cf\u5904\u7406<\/p>\n<\/p>\n<p><p>OpenCV\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u5e93\uff0c\u652f\u6301\u591a\u79cd\u7f16\u7a0b\u8bed\u8a00\uff0c\u5305\u62ecPython\u3002\u901a\u8fc7OpenCV\u53ef\u4ee5\u8fdb\u884c\u66f4\u4e3a\u590d\u6742\u7684\u56fe\u50cf\u5904\u7406\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n<ol>\n<li>\u5b89\u88c5\u4e0e\u5bfc\u5165OpenCV\u5e93<\/li>\n<\/ol>\n<p><p>\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5OpenCV\u5e93\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\u5bfc\u5165cv2\u6a21\u5757\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import cv2<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li>\u6253\u5f00\u4e0e\u663e\u793a\u56fe\u50cf<\/li>\n<\/ol>\n<p><p>\u4f7f\u7528OpenCV\u5e93\uff0c\u53ef\u4ee5\u8f7b\u677e\u5730\u6253\u5f00\u548c\u663e\u793a\u56fe\u50cf\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u6253\u5f00\u56fe\u50cf<\/p>\n<p>image = cv2.imread(&#39;path_to_image.jpg&#39;)<\/p>\n<h2><strong>\u663e\u793a\u56fe\u50cf<\/strong><\/h2>\n<p>cv2.imshow(&#39;Image&#39;, image)<\/p>\n<p>cv2.w<a href=\"https:\/\/docs.pingcode.com\/blog\/59162.html\" target=\"_blank\">AI<\/a>tKey(0)<\/p>\n<p>cv2.destroyAllWindows()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"3\">\n<li>\u56fe\u50cf\u6620\u5c04\u64cd\u4f5c<\/li>\n<\/ol>\n<p><p>OpenCV\u5e93\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u56fe\u50cf\u6620\u5c04\u64cd\u4f5c\uff0c\u5305\u62ec\u65cb\u8f6c\u3001\u7f29\u653e\u3001\u88c1\u526a\u548c\u6ee4\u955c\u7b49\u3002<\/p>\n<\/p>\n<ul>\n<li>\u65cb\u8f6c\u56fe\u50cf<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\"># \u65cb\u8f6c\u56fe\u50cf<\/p>\n<p>(h, w) = image.shape[:2]<\/p>\n<p>center = (w \/ 2, h \/ 2)<\/p>\n<p>M = cv2.getRotationMatrix2D(center, 45, 1.0)<\/p>\n<p>rotated_image = cv2.warpAffine(image, M, (w, h))<\/p>\n<p>cv2.imshow(&#39;Rotated Image&#39;, rotated_image)<\/p>\n<p>cv2.waitKey(0)<\/p>\n<p>cv2.destroyAllWindows()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ul>\n<li>\u7f29\u653e\u56fe\u50cf<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\"># \u7f29\u653e\u56fe\u50cf<\/p>\n<p>scaled_image = cv2.resize(image, (100, 100))<\/p>\n<p>cv2.imshow(&#39;Scaled Image&#39;, scaled_image)<\/p>\n<p>cv2.waitKey(0)<\/p>\n<p>cv2.destroyAllWindows()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ul>\n<li>\u88c1\u526a\u56fe\u50cf<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\"># \u88c1\u526a\u56fe\u50cf<\/p>\n<p>cropped_image = image[10:200, 10:200]<\/p>\n<p>cv2.imshow(&#39;Cropped Image&#39;, cropped_image)<\/p>\n<p>cv2.waitKey(0)<\/p>\n<p>cv2.destroyAllWindows()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ul>\n<li>\u5e94\u7528\u6ee4\u955c<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\"># \u5e94\u7528\u6a21\u7cca\u6ee4\u955c<\/p>\n<p>blurred_image = cv2.GaussianBlur(image, (5, 5), 0)<\/p>\n<p>cv2.imshow(&#39;Blurred Image&#39;, blurred_image)<\/p>\n<p>cv2.waitKey(0)<\/p>\n<p>cv2.destroyAllWindows()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4e09\u3001\u4f7f\u7528MATPLOTLIB\u5e93\u8fdb\u884c\u56fe\u50cf\u663e\u793a<\/p>\n<\/p>\n<p><p>Matplotlib\u662f\u4e00\u4e2a\u7528\u4e8e\u7ed8\u5236\u56fe\u5f62\u7684Python\u5e93\uff0c\u867d\u7136\u5b83\u4e0d\u662f\u4e13\u95e8\u7684\u56fe\u50cf\u5904\u7406\u5e93\uff0c\u4f46\u53ef\u4ee5\u7528\u4e8e\u663e\u793a\u548c\u7b80\u5355\u5904\u7406\u56fe\u50cf\u3002<\/p>\n<\/p>\n<ol>\n<li>\u5b89\u88c5\u4e0e\u5bfc\u5165Matplotlib\u5e93<\/li>\n<\/ol>\n<p><p>\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5Matplotlib\u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install matplotlib<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u4ee3\u7801\u5bfc\u5165pyplot\u6a21\u5757\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><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li>\u6253\u5f00\u4e0e\u663e\u793a\u56fe\u50cf<\/li>\n<\/ol>\n<p><p>\u4f7f\u7528Matplotlib\u5e93\uff0c\u53ef\u4ee5\u8f7b\u677e\u5730\u6253\u5f00\u548c\u663e\u793a\u56fe\u50cf\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u6253\u5f00\u56fe\u50cf<\/p>\n<p>image = mpimg.imread(&#39;path_to_image.jpg&#39;)<\/p>\n<h2><strong>\u663e\u793a\u56fe\u50cf<\/strong><\/h2>\n<p>plt.imshow(image)<\/p>\n<p>plt.axis(&#39;off&#39;)  # \u4e0d\u663e\u793a\u5750\u6807\u8f74<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u56db\u3001\u901a\u8fc7SCIKIT-IMAGE\u5e93\u8fdb\u884c\u56fe\u50cf\u5206\u6790<\/p>\n<\/p>\n<p><p>Scikit-image\u662f\u4e00\u4e2a\u7528\u4e8e\u56fe\u50cf\u5904\u7406\u7684Python\u5e93\uff0c\u57fa\u4e8eScipy\u6784\u5efa\uff0c\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\u3002<\/p>\n<\/p>\n<ol>\n<li>\u5b89\u88c5\u4e0e\u5bfc\u5165Scikit-image\u5e93<\/li>\n<\/ol>\n<p><p>\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5Scikit-image\u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install scikit-image<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u4ee3\u7801\u5bfc\u5165io\u6a21\u5757\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from skimage import io<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li>\u6253\u5f00\u4e0e\u663e\u793a\u56fe\u50cf<\/li>\n<\/ol>\n<p><p>\u4f7f\u7528Scikit-image\u5e93\uff0c\u53ef\u4ee5\u8f7b\u677e\u5730\u6253\u5f00\u548c\u663e\u793a\u56fe\u50cf\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u6253\u5f00\u56fe\u50cf<\/p>\n<p>image = io.imread(&#39;path_to_image.jpg&#39;)<\/p>\n<h2><strong>\u663e\u793a\u56fe\u50cf<\/strong><\/h2>\n<p>io.imshow(image)<\/p>\n<p>io.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4e94\u3001\u5e94\u7528NUMPY\u8fdb\u884c\u50cf\u7d20\u64cd\u4f5c<\/p>\n<\/p>\n<p><p>Numpy\u662fPython\u4e2d\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u503c\u8ba1\u7b97\u5e93\uff0c\u53ef\u4ee5\u7528\u4e8e\u5bf9\u56fe\u50cf\u50cf\u7d20\u8fdb\u884c\u64cd\u4f5c\u3002<\/p>\n<\/p>\n<ol>\n<li>\u5b89\u88c5\u4e0e\u5bfc\u5165Numpy\u5e93<\/li>\n<\/ol>\n<p><p>\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5Numpy\u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install numpy<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u4ee3\u7801\u5bfc\u5165numpy\u6a21\u5757\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li>\u56fe\u50cf\u50cf\u7d20\u64cd\u4f5c<\/li>\n<\/ol>\n<p><p>\u901a\u8fc7Numpy\u5e93\uff0c\u53ef\u4ee5\u5bf9\u56fe\u50cf\u50cf\u7d20\u8fdb\u884c\u5404\u79cd\u64cd\u4f5c\uff0c\u4f8b\u5982\u8c03\u6574\u4eae\u5ea6\u3001\u5bf9\u6bd4\u5ea6\u7b49\u3002<\/p>\n<\/p>\n<ul>\n<li>\u8c03\u6574\u4eae\u5ea6<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\"># \u8c03\u6574\u4eae\u5ea6<\/p>\n<p>bright_image = np.clip(image + 50, 0, 255)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ul>\n<li>\u8c03\u6574\u5bf9\u6bd4\u5ea6<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\"># \u8c03\u6574\u5bf9\u6bd4\u5ea6<\/p>\n<p>contrast_image = np.clip(1.2 * image - 30, 0, 255)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u603b\u7ed3\uff1aPython\u63d0\u4f9b\u4e86\u591a\u79cd\u5e93\u7528\u4e8e\u8fdb\u884c\u56fe\u50cf\u6620\u5c04\u548c\u5904\u7406\uff0c\u5305\u62ecPIL\u3001OpenCV\u3001Matplotlib\u3001Scikit-image\u548cNumpy\u7b49\u3002\u6bcf\u4e2a\u5e93\u90fd\u6709\u5176\u72ec\u7279\u7684\u529f\u80fd\u548c\u4f18\u52bf\uff0c\u7528\u6237\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u5de5\u5177\u8fdb\u884c\u56fe\u50cf\u5904\u7406\u3002\u901a\u8fc7\u7ed3\u5408\u4f7f\u7528\u8fd9\u4e9b\u5e93\uff0c\u53ef\u4ee5\u5b9e\u73b0\u590d\u6742\u7684\u56fe\u50cf\u5904\u7406\u4efb\u52a1\uff0c\u4e3a\u56fe\u50cf\u5206\u6790\u548c\u8ba1\u7b97\u673a\u89c6\u89c9\u5e94\u7528\u63d0\u4f9b\u652f\u6301\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>1. \u5982\u4f55\u4f7f\u7528Python\u5c06\u56fe\u7247\u8f6c\u6362\u4e3a\u70ed\u56fe\u6216\u70ed\u56fe\u6620\u5c04\uff1f<\/strong><br \/>\u8981\u5c06\u56fe\u7247\u8f6c\u6362\u4e3a\u70ed\u56fe\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u4e2d\u7684\u5e93\u5982Matplotlib\u548cSeaborn\u3002\u9996\u5148\uff0c\u52a0\u8f7d\u56fe\u50cf\u5e76\u8f6c\u6362\u4e3a\u7070\u5ea6\u6a21\u5f0f\uff0c\u7136\u540e\u4f7f\u7528numpy\u8ba1\u7b97\u6bcf\u4e2a\u50cf\u7d20\u7684\u5f3a\u5ea6\u503c\u3002\u63a5\u7740\uff0c\u4f7f\u7528Matplotlib\u7684<code>imshow<\/code>\u51fd\u6570\u5c06\u8fd9\u4e9b\u5f3a\u5ea6\u503c\u53ef\u89c6\u5316\u4e3a\u70ed\u56fe\uff0c\u786e\u4fdd\u9009\u62e9\u5408\u9002\u7684\u8272\u5f69\u6620\u5c04\u65b9\u6848\u4ee5\u83b7\u5f97\u6700\u4f73\u6548\u679c\u3002<\/p>\n<p><strong>2. Python\u4e2d\u6709\u54ea\u4e9b\u5e93\u53ef\u4ee5\u5e2e\u52a9\u5b9e\u73b0\u56fe\u50cf\u6620\u5c04\u529f\u80fd\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u5e38\u7528\u7684\u5e93\u5305\u62ecOpenCV\u3001PIL\uff08Pillow\uff09\u3001Matplotlib\u548cNumPy\u3002OpenCV\u9002\u5408\u8fdb\u884c\u590d\u6742\u7684\u56fe\u50cf\u5904\u7406\uff0cPIL\u5219\u63d0\u4f9b\u4e86\u7b80\u5355\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\uff0cMatplotlib\u7528\u4e8e\u53ef\u89c6\u5316\u6570\u636e\uff0c\u800cNumPy\u5219\u7528\u4e8e\u9ad8\u6548\u7684\u6570\u503c\u8ba1\u7b97\u548c\u6570\u7ec4\u64cd\u4f5c\u3002\u7ed3\u5408\u8fd9\u4e9b\u5e93\uff0c\u53ef\u4ee5\u5b9e\u73b0\u5404\u79cd\u56fe\u50cf\u6620\u5c04\u6548\u679c\u3002<\/p>\n<p><strong>3. \u5982\u4f55\u5728Python\u4e2d\u5b9e\u73b0\u56fe\u50cf\u7684\u7a7a\u95f4\u6620\u5c04\u6216\u51e0\u4f55\u53d8\u6362\uff1f<\/strong><br \/>\u7a7a\u95f4\u6620\u5c04\u6216\u51e0\u4f55\u53d8\u6362\u53ef\u4ee5\u901a\u8fc7OpenCV\u5e93\u8f7b\u677e\u5b9e\u73b0\u3002\u4f7f\u7528<code>cv2.warpAffine<\/code>\u6216<code>cv2.warpPerspective<\/code>\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5bf9\u56fe\u50cf\u8fdb\u884c\u65cb\u8f6c\u3001\u7f29\u653e\u3001\u5e73\u79fb\u7b49\u53d8\u6362\u3002\u8bbe\u7f6e\u53d8\u6362\u77e9\u9635\u65f6\uff0c\u9700\u8981\u6839\u636e\u76ee\u6807\u6548\u679c\u8c03\u6574\u53c2\u6570\uff0c\u901a\u8fc7\u8fd9\u4e9b\u64cd\u4f5c\u53ef\u4ee5\u5b9e\u73b0\u591a\u79cd\u590d\u6742\u7684\u56fe\u50cf\u6620\u5c04\u6548\u679c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u8ba9\u56fe\u7247\u6620\u5c04\u7684\u65b9\u6cd5\u6709\uff1a\u4f7f\u7528PIL\u5e93\u4e2d\u7684Image\u6a21\u5757\u3001\u5229\u7528OpenCV\u5e93\u8fdb\u884c\u56fe\u50cf\u5904\u7406\u3001\u4f7f\u7528Matpl [&hellip;]","protected":false},"author":3,"featured_media":988712,"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\/988705"}],"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=988705"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/988705\/revisions"}],"predecessor-version":[{"id":988715,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/988705\/revisions\/988715"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/988712"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=988705"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=988705"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=988705"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}