{"id":1056521,"date":"2024-12-31T15:00:21","date_gmt":"2024-12-31T07:00:21","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1056521.html"},"modified":"2024-12-31T15:00:23","modified_gmt":"2024-12-31T07:00:23","slug":"python%e5%a6%82%e4%bd%95%e6%94%b9%e5%8f%98%e5%9b%be%e5%83%8f%e6%9f%90%e4%b8%80%e5%9d%97","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1056521.html","title":{"rendered":"python\u5982\u4f55\u6539\u53d8\u56fe\u50cf\u67d0\u4e00\u5757"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-docs.pingcode.com\/wp-content\/uploads\/2024\/12\/a809de4e-44e5-483a-9cf7-7338cb0d5e87.webp?x-oss-process=image\/auto-orient,1\/format,webp\" alt=\"python\u5982\u4f55\u6539\u53d8\u56fe\u50cf\u67d0\u4e00\u5757\" \/><\/p>\n<p><p> \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u5e93\u6765\u6539\u53d8\u56fe\u50cf\u7684\u67d0\u4e00\u5757\u3002<strong>\u4e3b\u8981\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528OpenCV\u3001Pillow\u3001NumPy\u7b49\u5e93<\/strong>\uff0c\u8fd9\u4e9b\u5e93\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\uff0c\u9002\u7528\u4e8e\u4e0d\u540c\u7684\u5e94\u7528\u573a\u666f\u3002\u4e0b\u9762\u6211\u4eec\u5c06\u8be6\u7ec6\u8bb2\u89e3\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u5e93\u6765\u6539\u53d8\u56fe\u50cf\u7684\u67d0\u4e00\u5757\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u4f7f\u7528OpenCV\u6539\u53d8\u56fe\u50cf\u67d0\u4e00\u5757<\/h3>\n<\/p>\n<p><p>OpenCV\u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u5e93\uff0c\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\u3002\u5b83\u53ef\u4ee5\u7528\u4e8e\u8bfb\u53d6\u3001\u5904\u7406\u548c\u4fdd\u5b58\u56fe\u50cf\u3002\u4e0b\u9762\u662f\u4f7f\u7528OpenCV\u6539\u53d8\u56fe\u50cf\u67d0\u4e00\u5757\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import cv2<\/p>\n<h2><strong>\u8bfb\u53d6\u56fe\u50cf<\/strong><\/h2>\n<p>image = cv2.imread(&#39;path_to_image.jpg&#39;)<\/p>\n<h2><strong>\u5b9a\u4e49\u8981\u6539\u53d8\u7684\u533a\u57df\uff0c\u683c\u5f0f\u4e3a[startY:endY, startX:endX]<\/strong><\/h2>\n<p>startX, startY, endX, endY = 50, 50, 200, 200<\/p>\n<h2><strong>\u6539\u53d8\u8be5\u533a\u57df\u7684\u989c\u8272\u4e3a\u7ea2\u8272\uff08BGR\u683c\u5f0f\uff09<\/strong><\/h2>\n<p>image[startY:endY, startX:endX] = (0, 0, 255)<\/p>\n<h2><strong>\u663e\u793a\u548c\u4fdd\u5b58\u4fee\u6539\u540e\u7684\u56fe\u50cf<\/strong><\/h2>\n<p>cv2.imshow(&#39;Modified Image&#39;, image)<\/p>\n<p>cv2.imwrite(&#39;modified_image.jpg&#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<p><p><strong>\u8be6\u89e3\uff1a<\/strong><\/p>\n<\/p>\n<p><p>\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u4f7f\u7528<code>cv2.imread<\/code>\u8bfb\u53d6\u56fe\u50cf\uff0c\u7136\u540e\u901a\u8fc7\u6307\u5b9a\u533a\u57df\u7684\u5750\u6807\u6765\u4fee\u6539\u8be5\u533a\u57df\u7684\u989c\u8272\u4e3a\u7ea2\u8272\u3002<code>cv2.imshow<\/code>\u7528\u4e8e\u663e\u793a\u4fee\u6539\u540e\u7684\u56fe\u50cf\uff0c<code>cv2.imwrite<\/code>\u7528\u4e8e\u4fdd\u5b58\u4fee\u6539\u540e\u7684\u56fe\u50cf\u3002\u6700\u540e\uff0c\u4f7f\u7528<code>cv2.waitKey(0)<\/code>\u548c<code>cv2.destroyAllWindows<\/code>\u6765\u5904\u7406\u7a97\u53e3\u4e8b\u4ef6\u3002<\/p>\n<\/p>\n<p><h3>\u4e8c\u3001\u4f7f\u7528Pillow\u6539\u53d8\u56fe\u50cf\u67d0\u4e00\u5757<\/h3>\n<\/p>\n<p><p>Pillow\u662fPython\u7684\u4e00\u4e2a\u56fe\u50cf\u5904\u7406\u5e93\uff0c\u63d0\u4f9b\u4e86\u7b80\u5355\u6613\u7528\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\u3002\u4e0b\u9762\u662f\u4f7f\u7528Pillow\u6539\u53d8\u56fe\u50cf\u67d0\u4e00\u5757\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from PIL import Image<\/p>\n<h2><strong>\u8bfb\u53d6\u56fe\u50cf<\/strong><\/h2>\n<p>image = Image.open(&#39;path_to_image.jpg&#39;)<\/p>\n<p>pixels = image.load()<\/p>\n<h2><strong>\u5b9a\u4e49\u8981\u6539\u53d8\u7684\u533a\u57df\uff0c\u683c\u5f0f\u4e3a(startX, startY, endX, endY)<\/strong><\/h2>\n<p>startX, startY, endX, endY = 50, 50, 200, 200<\/p>\n<h2><strong>\u6539\u53d8\u8be5\u533a\u57df\u7684\u989c\u8272\u4e3a\u7ea2\u8272<\/strong><\/h2>\n<p>for x in range(startX, endX):<\/p>\n<p>    for y in range(startY, endY):<\/p>\n<p>        pixels[x, y] = (255, 0, 0)<\/p>\n<h2><strong>\u663e\u793a\u548c\u4fdd\u5b58\u4fee\u6539\u540e\u7684\u56fe\u50cf<\/strong><\/h2>\n<p>image.show()<\/p>\n<p>image.save(&#39;modified_image.jpg&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>\u8be6\u89e3\uff1a<\/strong><\/p>\n<\/p>\n<p><p>\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u4f7f\u7528<code>Image.open<\/code>\u8bfb\u53d6\u56fe\u50cf\uff0c\u7136\u540e\u901a\u8fc7<code>image.load<\/code>\u83b7\u53d6\u56fe\u50cf\u7684\u50cf\u7d20\u6570\u636e\u3002\u63a5\u4e0b\u6765\uff0c\u901a\u8fc7\u6307\u5b9a\u533a\u57df\u7684\u5750\u6807\u6765\u4fee\u6539\u8be5\u533a\u57df\u7684\u989c\u8272\u4e3a\u7ea2\u8272\u3002<code>image.show<\/code>\u7528\u4e8e\u663e\u793a\u4fee\u6539\u540e\u7684\u56fe\u50cf\uff0c<code>image.save<\/code>\u7528\u4e8e\u4fdd\u5b58\u4fee\u6539\u540e\u7684\u56fe\u50cf\u3002<\/p>\n<\/p>\n<p><h3>\u4e09\u3001\u4f7f\u7528NumPy\u6539\u53d8\u56fe\u50cf\u67d0\u4e00\u5757<\/h3>\n<\/p>\n<p><p>NumPy\u662f\u4e00\u4e2a\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u7684\u5e93\uff0c\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u7ec4\u64cd\u4f5c\u529f\u80fd\u3002\u7ed3\u5408NumPy\u548cOpenCV\uff0c\u53ef\u4ee5\u66f4\u9ad8\u6548\u5730\u5904\u7406\u56fe\u50cf\u6570\u636e\u3002\u4e0b\u9762\u662f\u4f7f\u7528NumPy\u6539\u53d8\u56fe\u50cf\u67d0\u4e00\u5757\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import cv2<\/p>\n<p>import numpy as np<\/p>\n<h2><strong>\u8bfb\u53d6\u56fe\u50cf<\/strong><\/h2>\n<p>image = cv2.imread(&#39;path_to_image.jpg&#39;)<\/p>\n<h2><strong>\u5c06\u56fe\u50cf\u8f6c\u6362\u4e3aNumPy\u6570\u7ec4<\/strong><\/h2>\n<p>image_array = np.array(image)<\/p>\n<h2><strong>\u5b9a\u4e49\u8981\u6539\u53d8\u7684\u533a\u57df\uff0c\u683c\u5f0f\u4e3a[startY:endY, startX:endX]<\/strong><\/h2>\n<p>startX, startY, endX, endY = 50, 50, 200, 200<\/p>\n<h2><strong>\u6539\u53d8\u8be5\u533a\u57df\u7684\u989c\u8272\u4e3a\u7ea2\u8272<\/strong><\/h2>\n<p>image_array[startY:endY, startX:endX] = [0, 0, 255]<\/p>\n<h2><strong>\u663e\u793a\u548c\u4fdd\u5b58\u4fee\u6539\u540e\u7684\u56fe\u50cf<\/strong><\/h2>\n<p>cv2.imshow(&#39;Modified Image&#39;, image_array)<\/p>\n<p>cv2.imwrite(&#39;modified_image.jpg&#39;, image_array)<\/p>\n<p>cv2.waitKey(0)<\/p>\n<p>cv2.destroyAllWindows()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>\u8be6\u89e3\uff1a<\/strong><\/p>\n<\/p>\n<p><p>\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u4f7f\u7528<code>cv2.imread<\/code>\u8bfb\u53d6\u56fe\u50cf\uff0c\u7136\u540e\u901a\u8fc7<code>np.array<\/code>\u5c06\u56fe\u50cf\u8f6c\u6362\u4e3aNumPy\u6570\u7ec4\u3002\u63a5\u4e0b\u6765\uff0c\u901a\u8fc7\u6307\u5b9a\u533a\u57df\u7684\u5750\u6807\u6765\u4fee\u6539\u8be5\u533a\u57df\u7684\u989c\u8272\u4e3a\u7ea2\u8272\u3002<code>cv2.imshow<\/code>\u7528\u4e8e\u663e\u793a\u4fee\u6539\u540e\u7684\u56fe\u50cf\uff0c<code>cv2.imwrite<\/code>\u7528\u4e8e\u4fdd\u5b58\u4fee\u6539\u540e\u7684\u56fe\u50cf\u3002\u6700\u540e\uff0c\u4f7f\u7528<code>cv2.waitKey(0)<\/code>\u548c<code>cv2.destroyAllWindows<\/code>\u6765\u5904\u7406\u7a97\u53e3\u4e8b\u4ef6\u3002<\/p>\n<\/p>\n<p><h3>\u56db\u3001\u4f7f\u7528Scikit-Image\u6539\u53d8\u56fe\u50cf\u67d0\u4e00\u5757<\/h3>\n<\/p>\n<p><p>Scikit-Image\u662f\u4e00\u4e2a\u7528\u4e8e\u56fe\u50cf\u5904\u7406\u7684Python\u5e93\uff0c\u57fa\u4e8eNumPy\u6784\u5efa\uff0c\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\u3002\u4e0b\u9762\u662f\u4f7f\u7528Scikit-Image\u6539\u53d8\u56fe\u50cf\u67d0\u4e00\u5757\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from skimage import io<\/p>\n<p>import numpy as np<\/p>\n<h2><strong>\u8bfb\u53d6\u56fe\u50cf<\/strong><\/h2>\n<p>image = io.imread(&#39;path_to_image.jpg&#39;)<\/p>\n<h2><strong>\u5b9a\u4e49\u8981\u6539\u53d8\u7684\u533a\u57df\uff0c\u683c\u5f0f\u4e3a[startY:endY, startX:endX]<\/strong><\/h2>\n<p>startX, startY, endX, endY = 50, 50, 200, 200<\/p>\n<h2><strong>\u6539\u53d8\u8be5\u533a\u57df\u7684\u989c\u8272\u4e3a\u7ea2\u8272<\/strong><\/h2>\n<p>image[startY:endY, startX:endX] = [255, 0, 0]<\/p>\n<h2><strong>\u663e\u793a\u548c\u4fdd\u5b58\u4fee\u6539\u540e\u7684\u56fe\u50cf<\/strong><\/h2>\n<p>io.imshow(image)<\/p>\n<p>io.imsave(&#39;modified_image.jpg&#39;, image)<\/p>\n<p>io.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>\u8be6\u89e3\uff1a<\/strong><\/p>\n<\/p>\n<p><p>\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u4f7f\u7528<code>io.imread<\/code>\u8bfb\u53d6\u56fe\u50cf\uff0c\u7136\u540e\u901a\u8fc7\u6307\u5b9a\u533a\u57df\u7684\u5750\u6807\u6765\u4fee\u6539\u8be5\u533a\u57df\u7684\u989c\u8272\u4e3a\u7ea2\u8272\u3002<code>io.imshow<\/code>\u7528\u4e8e\u663e\u793a\u4fee\u6539\u540e\u7684\u56fe\u50cf\uff0c<code>io.imsave<\/code>\u7528\u4e8e\u4fdd\u5b58\u4fee\u6539\u540e\u7684\u56fe\u50cf\u3002<\/p>\n<\/p>\n<p><h3>\u4e94\u3001\u4f7f\u7528Matplotlib\u6539\u53d8\u56fe\u50cf\u67d0\u4e00\u5757<\/h3>\n<\/p>\n<p><p>Matplotlib\u662f\u4e00\u4e2a\u7528\u4e8e\u6570\u636e\u53ef\u89c6\u5316\u7684Python\u5e93\uff0c\u4e5f\u53ef\u4ee5\u7528\u4e8e\u7b80\u5355\u7684\u56fe\u50cf\u5904\u7406\u3002\u4e0b\u9762\u662f\u4f7f\u7528Matplotlib\u6539\u53d8\u56fe\u50cf\u67d0\u4e00\u5757\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<p>import numpy as np<\/p>\n<p>import matplotlib.image as mpimg<\/p>\n<h2><strong>\u8bfb\u53d6\u56fe\u50cf<\/strong><\/h2>\n<p>image = mpimg.imread(&#39;path_to_image.jpg&#39;)<\/p>\n<h2><strong>\u5c06\u56fe\u50cf\u8f6c\u6362\u4e3aNumPy\u6570\u7ec4<\/strong><\/h2>\n<p>image_array = np.array(image)<\/p>\n<h2><strong>\u5b9a\u4e49\u8981\u6539\u53d8\u7684\u533a\u57df\uff0c\u683c\u5f0f\u4e3a[startY:endY, startX:endX]<\/strong><\/h2>\n<p>startX, startY, endX, endY = 50, 50, 200, 200<\/p>\n<h2><strong>\u6539\u53d8\u8be5\u533a\u57df\u7684\u989c\u8272\u4e3a\u7ea2\u8272<\/strong><\/h2>\n<p>image_array[startY:endY, startX:endX] = [1, 0, 0]  # Matplotlib\u4f7f\u7528\u5f52\u4e00\u5316\u7684RGB\u503c<\/p>\n<h2><strong>\u663e\u793a\u548c\u4fdd\u5b58\u4fee\u6539\u540e\u7684\u56fe\u50cf<\/strong><\/h2>\n<p>plt.imshow(image_array)<\/p>\n<p>plt.imsave(&#39;modified_image.jpg&#39;, image_array)<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>\u8be6\u89e3\uff1a<\/strong><\/p>\n<\/p>\n<p><p>\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u4f7f\u7528<code>mpimg.imread<\/code>\u8bfb\u53d6\u56fe\u50cf\uff0c\u7136\u540e\u901a\u8fc7<code>np.array<\/code>\u5c06\u56fe\u50cf\u8f6c\u6362\u4e3aNumPy\u6570\u7ec4\u3002\u63a5\u4e0b\u6765\uff0c\u901a\u8fc7\u6307\u5b9a\u533a\u57df\u7684\u5750\u6807\u6765\u4fee\u6539\u8be5\u533a\u57df\u7684\u989c\u8272\u4e3a\u7ea2\u8272\u3002<code>plt.imshow<\/code>\u7528\u4e8e\u663e\u793a\u4fee\u6539\u540e\u7684\u56fe\u50cf\uff0c<code>plt.imsave<\/code>\u7528\u4e8e\u4fdd\u5b58\u4fee\u6539\u540e\u7684\u56fe\u50cf\u3002<\/p>\n<\/p>\n<p><h3>\u516d\u3001\u4f7f\u7528Imageio\u6539\u53d8\u56fe\u50cf\u67d0\u4e00\u5757<\/h3>\n<\/p>\n<p><p>Imageio\u662f\u4e00\u4e2a\u7528\u4e8e\u8bfb\u53d6\u548c\u5199\u5165\u56fe\u50cf\u6570\u636e\u7684\u5e93\uff0c\u652f\u6301\u591a\u79cd\u56fe\u50cf\u683c\u5f0f\u3002\u4e0b\u9762\u662f\u4f7f\u7528Imageio\u6539\u53d8\u56fe\u50cf\u67d0\u4e00\u5757\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import imageio<\/p>\n<p>import numpy as np<\/p>\n<h2><strong>\u8bfb\u53d6\u56fe\u50cf<\/strong><\/h2>\n<p>image = imageio.imread(&#39;path_to_image.jpg&#39;)<\/p>\n<h2><strong>\u5c06\u56fe\u50cf\u8f6c\u6362\u4e3aNumPy\u6570\u7ec4<\/strong><\/h2>\n<p>image_array = np.array(image)<\/p>\n<h2><strong>\u5b9a\u4e49\u8981\u6539\u53d8\u7684\u533a\u57df\uff0c\u683c\u5f0f\u4e3a[startY:endY, startX:endX]<\/strong><\/h2>\n<p>startX, startY, endX, endY = 50, 50, 200, 200<\/p>\n<h2><strong>\u6539\u53d8\u8be5\u533a\u57df\u7684\u989c\u8272\u4e3a\u7ea2\u8272<\/strong><\/h2>\n<p>image_array[startY:endY, startX:endX] = [255, 0, 0]<\/p>\n<h2><strong>\u663e\u793a\u548c\u4fdd\u5b58\u4fee\u6539\u540e\u7684\u56fe\u50cf<\/strong><\/h2>\n<p>imageio.imwrite(&#39;modified_image.jpg&#39;, image_array)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>\u8be6\u89e3\uff1a<\/strong><\/p>\n<\/p>\n<p><p>\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u4f7f\u7528<code>imageio.imread<\/code>\u8bfb\u53d6\u56fe\u50cf\uff0c\u7136\u540e\u901a\u8fc7<code>np.array<\/code>\u5c06\u56fe\u50cf\u8f6c\u6362\u4e3aNumPy\u6570\u7ec4\u3002\u63a5\u4e0b\u6765\uff0c\u901a\u8fc7\u6307\u5b9a\u533a\u57df\u7684\u5750\u6807\u6765\u4fee\u6539\u8be5\u533a\u57df\u7684\u989c\u8272\u4e3a\u7ea2\u8272\u3002<code>imageio.imwrite<\/code>\u7528\u4e8e\u4fdd\u5b58\u4fee\u6539\u540e\u7684\u56fe\u50cf\u3002<\/p>\n<\/p>\n<p><h3>\u7ed3\u8bba<\/h3>\n<\/p>\n<p><p>\u901a\u8fc7\u4ee5\u4e0a\u51e0\u79cd\u65b9\u6cd5\uff0c\u6211\u4eec\u53ef\u4ee5\u8f7b\u677e\u5730\u5728Python\u4e2d\u6539\u53d8\u56fe\u50cf\u7684\u67d0\u4e00\u5757\u3002<strong>\u9009\u62e9\u5408\u9002\u7684\u5e93\u548c\u65b9\u6cd5<\/strong>\u53d6\u51b3\u4e8e\u5177\u4f53\u7684\u5e94\u7528\u573a\u666f\u548c\u9700\u6c42\u3002\u4f8b\u5982\uff0cOpenCV\u9002\u7528\u4e8e\u8ba1\u7b97\u673a\u89c6\u89c9\u9886\u57df\uff0cPillow\u9002\u7528\u4e8e\u7b80\u5355\u7684\u56fe\u50cf\u5904\u7406\uff0cNumPy\u9002\u7528\u4e8e\u9ad8\u6548\u7684\u6570\u7ec4\u64cd\u4f5c\uff0cScikit-Image\u9002\u7528\u4e8e\u79d1\u5b66\u56fe\u50cf\u5904\u7406\uff0cMatplotlib\u9002\u7528\u4e8e\u6570\u636e\u53ef\u89c6\u5316\uff0cImageio\u9002\u7528\u4e8e\u591a\u79cd\u56fe\u50cf\u683c\u5f0f\u7684\u8bfb\u5199\u3002\u5e0c\u671b\u8fd9\u7bc7\u6587\u7ae0\u80fd\u5e2e\u52a9\u60a8\u66f4\u597d\u5730\u7406\u89e3\u548c\u5e94\u7528\u8fd9\u4e9b\u65b9\u6cd5\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u4f7f\u7528Python\u5904\u7406\u56fe\u50cf\u7684\u7279\u5b9a\u533a\u57df\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u4e2a\u56fe\u50cf\u5904\u7406\u5e93\u6765\u64cd\u4f5c\u56fe\u50cf\u7684\u7279\u5b9a\u533a\u57df\u3002\u5e38\u7528\u7684\u5e93\u6709Pillow\u548cOpenCV\u3002\u901a\u8fc7\u8fd9\u4e9b\u5e93\uff0c\u53ef\u4ee5\u8bfb\u53d6\u56fe\u50cf\u6587\u4ef6\uff0c\u9009\u62e9\u9700\u8981\u4fee\u6539\u7684\u533a\u57df\uff0c\u7136\u540e\u5e94\u7528\u4e0d\u540c\u7684\u64cd\u4f5c\uff0c\u5982\u8c03\u6574\u989c\u8272\u3001\u6dfb\u52a0\u6ee4\u955c\u6216\u66ff\u6362\u50cf\u7d20\u503c\u3002\u4f8b\u5982\uff0c\u4f7f\u7528Pillow\u5e93\uff0c\u53ef\u4ee5\u901a\u8fc7\u6570\u7ec4\u5207\u7247\u6765\u9009\u62e9\u533a\u57df\uff0c\u7136\u540e\u8fdb\u884c\u5904\u7406\u3002<\/p>\n<p><strong>\u53ef\u4ee5\u4f7f\u7528\u54ea\u4e9bPython\u5e93\u6765\u6539\u53d8\u56fe\u50cf\u7684\u67d0\u4e00\u90e8\u5206\uff1f<\/strong><br \/>\u5e38\u89c1\u7684Python\u5e93\u5305\u62ecPillow\u3001OpenCV\u548cScikit-image\u3002Pillow\u975e\u5e38\u9002\u5408\u7b80\u5355\u7684\u56fe\u50cf\u5904\u7406\u4efb\u52a1\uff0c\u5982\u526a\u5207\u3001\u8c03\u6574\u5927\u5c0f\u548c\u65cb\u8f6c\uff1b\u800cOpenCV\u5219\u63d0\u4f9b\u66f4\u590d\u6742\u7684\u529f\u80fd\uff0c\u5982\u56fe\u50cf\u5206\u6790\u548c\u8ba1\u7b97\u673a\u89c6\u89c9\u4efb\u52a1\u3002Scikit-image\u540c\u6837\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u5e93\uff0c\u9002\u5408\u7528\u4e8e\u56fe\u50cf\u5904\u7406\u548c\u5206\u6790\u3002<\/p>\n<p><strong>\u6539\u53d8\u56fe\u50cf\u67d0\u4e00\u5757\u65f6\uff0c\u5982\u4f55\u786e\u4fdd\u56fe\u50cf\u8d28\u91cf\u4e0d\u53d7\u5f71\u54cd\uff1f<\/strong><br \/>\u5728\u5904\u7406\u56fe\u50cf\u65f6\uff0c\u9009\u62e9\u5408\u9002\u7684\u6587\u4ef6\u683c\u5f0f\u548c\u538b\u7f29\u8bbe\u7f6e\u975e\u5e38\u91cd\u8981\u3002\u4f7f\u7528\u65e0\u635f\u683c\u5f0f\uff08\u5982PNG\uff09\u4fdd\u5b58\u4fee\u6539\u540e\u7684\u56fe\u50cf\u53ef\u4ee5\u907f\u514d\u8d28\u91cf\u635f\u5931\u3002\u6b64\u5916\uff0c\u64cd\u4f5c\u8fc7\u7a0b\u4e2d\u4fdd\u6301\u539f\u59cb\u56fe\u50cf\u7684\u5907\u4efd\u4e5f\u662f\u4e00\u4e2a\u597d\u4e60\u60ef\uff0c\u4ee5\u4fbf\u5728\u51fa\u73b0\u95ee\u9898\u65f6\u53ef\u4ee5\u6062\u590d\u539f\u59cb\u6570\u636e\u3002\u5bf9\u4e8e\u989c\u8272\u8c03\u6574\u548c\u6ee4\u955c\u5e94\u7528\uff0c\u5efa\u8bae\u4f7f\u7528\u9ad8\u8d28\u91cf\u7684\u7b97\u6cd5\u548c\u65b9\u6cd5\u6765\u786e\u4fdd\u6548\u679c\u7684\u81ea\u7136\u548c\u771f\u5b9e\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u5e93\u6765\u6539\u53d8\u56fe\u50cf\u7684\u67d0\u4e00\u5757\u3002\u4e3b\u8981\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528OpenCV\u3001Pillow\u3001NumPy\u7b49 [&hellip;]","protected":false},"author":3,"featured_media":1056524,"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\/1056521"}],"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=1056521"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1056521\/revisions"}],"predecessor-version":[{"id":1056527,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1056521\/revisions\/1056527"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1056524"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1056521"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1056521"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1056521"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}