{"id":1142348,"date":"2025-01-08T22:39:04","date_gmt":"2025-01-08T14:39:04","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1142348.html"},"modified":"2025-01-08T22:39:07","modified_gmt":"2025-01-08T14:39:07","slug":"python%e5%a6%82%e4%bd%95%e5%b0%86%e5%9b%be%e7%89%87%e8%bd%ac%e6%8d%a2h5%e6%96%87%e4%bb%b6","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1142348.html","title":{"rendered":"python\u5982\u4f55\u5c06\u56fe\u7247\u8f6c\u6362h5\u6587\u4ef6"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/24180519\/8768d06b-de37-4ade-b7e9-914c9bbbe994.webp\" alt=\"python\u5982\u4f55\u5c06\u56fe\u7247\u8f6c\u6362h5\u6587\u4ef6\" \/><\/p>\n<p><p> <strong>\u5728Python\u4e2d\u5c06\u56fe\u7247\u8f6c\u6362\u4e3aH5\u6587\u4ef6\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u6b65\u9aa4\uff1a\u5bfc\u5165\u6240\u9700\u5e93\u3001\u8bfb\u53d6\u56fe\u7247\u3001\u5904\u7406\u56fe\u50cf\u6570\u636e\u3001\u521b\u5efa\u548c\u4fdd\u5b58H5\u6587\u4ef6\u3002<\/strong> \u5176\u4e2d\uff0c\u5bfc\u5165\u6240\u9700\u5e93\u548c\u5904\u7406\u56fe\u50cf\u6570\u636e\u662f\u5173\u952e\u6b65\u9aa4\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u63cf\u8ff0\u5982\u4f55\u5b9e\u73b0\u8fd9\u4e00\u8fc7\u7a0b\u3002<\/p>\n<\/p>\n<hr>\n<p><h3>\u4e00\u3001\u5bfc\u5165\u6240\u9700\u5e93<\/h3>\n<\/p>\n<p><p>\u5728Python\u4e2d\u5904\u7406\u56fe\u50cf\u6570\u636e\u548c\u521b\u5efaH5\u6587\u4ef6\uff0c\u6211\u4eec\u9700\u8981\u5bfc\u5165\u4e00\u4e9b\u7279\u5b9a\u7684\u5e93\uff0c\u5982PIL\uff08Pillow\uff09\u548ch5py\u3002Pillow\u662fPython Imaging Library\u7684\u4e00\u4e2a\u5206\u652f\uff0c\u7528\u4e8e\u56fe\u50cf\u5904\u7406\u3002h5py\u662f\u4e00\u4e2a\u7528\u4e8e\u4e0eHDF5\u6587\u4ef6\u8fdb\u884c\u4ea4\u4e92\u7684\u5e93\u3002\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u4ee3\u7801\u5bfc\u5165\u8fd9\u4e9b\u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from PIL import Image<\/p>\n<p>import h5py<\/p>\n<p>import numpy as np<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e8c\u3001\u8bfb\u53d6\u56fe\u7247<\/h3>\n<\/p>\n<p><p>\u8bfb\u53d6\u56fe\u7247\u662f\u5c06\u56fe\u50cf\u6570\u636e\u8f6c\u6362\u4e3a\u6570\u503c\u8868\u793a\u7684\u7b2c\u4e00\u6b65\u3002Pillow\u5e93\u63d0\u4f9b\u4e86\u65b9\u4fbf\u7684\u65b9\u6cd5\u6765\u6253\u5f00\u548c\u8bfb\u53d6\u56fe\u7247\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u8bfb\u53d6\u56fe\u7247\u5e76\u5c06\u5176\u8f6c\u6362\u4e3aNumPy\u6570\u7ec4\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">image_path = &#39;path\/to\/your\/image.jpg&#39;<\/p>\n<p>image = Image.open(image_path)<\/p>\n<p>image_data = np.array(image)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u6307\u5b9a\u4e86\u56fe\u7247\u6587\u4ef6\u7684\u8def\u5f84\uff0c\u7136\u540e\u4f7f\u7528<code>Image.open<\/code>\u65b9\u6cd5\u6253\u5f00\u56fe\u7247\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u56fe\u7247\u8f6c\u6362\u4e3aNumPy\u6570\u7ec4\uff0c\u8fd9\u6837\u6211\u4eec\u5c31\u53ef\u4ee5\u65b9\u4fbf\u5730\u5904\u7406\u56fe\u50cf\u6570\u636e\u3002<\/p>\n<\/p>\n<p><h3>\u4e09\u3001\u5904\u7406\u56fe\u50cf\u6570\u636e<\/h3>\n<\/p>\n<p><p>\u4e3a\u4e86\u5c06\u56fe\u50cf\u6570\u636e\u4fdd\u5b58\u5230H5\u6587\u4ef6\u4e2d\uff0c\u6211\u4eec\u9700\u8981\u786e\u4fdd\u56fe\u50cf\u6570\u636e\u662f\u4ee5\u6b63\u786e\u7684\u683c\u5f0f\u548c\u7c7b\u578b\u8868\u793a\u7684\u3002\u901a\u5e38\u60c5\u51b5\u4e0b\uff0c\u56fe\u50cf\u6570\u636e\u662f\u4e00\u4e2a\u591a\u7ef4\u6570\u7ec4\uff0c\u5176\u4e2d\u6bcf\u4e2a\u5143\u7d20\u8868\u793a\u4e00\u4e2a\u50cf\u7d20\u7684\u989c\u8272\u503c\u3002\u4f8b\u5982\uff0c\u5bf9\u4e8eRGB\u56fe\u50cf\uff0c\u56fe\u50cf\u6570\u636e\u5c06\u662f\u4e00\u4e2a\u4e09\u7ef4\u6570\u7ec4\uff0c\u5305\u542b\u9ad8\u5ea6\u3001\u5bbd\u5ea6\u548c\u989c\u8272\u901a\u9053\u3002<\/p>\n<\/p>\n<p><p>\u5728\u5904\u7406\u56fe\u50cf\u6570\u636e\u65f6\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u5bf9\u56fe\u50cf\u8fdb\u884c\u4e00\u4e9b\u9884\u5904\u7406\uff0c\u4f8b\u5982\u8c03\u6574\u56fe\u50cf\u5c3a\u5bf8\u3001\u5f52\u4e00\u5316\u50cf\u7d20\u503c\u7b49\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u8c03\u6574\u56fe\u50cf\u5c3a\u5bf8\u5e76\u5f52\u4e00\u5316\u50cf\u7d20\u503c\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u8c03\u6574\u56fe\u50cf\u5c3a\u5bf8<\/p>\n<p>image_resized = image.resize((256, 256))<\/p>\n<h2><strong>\u5c06\u56fe\u50cf\u6570\u636e\u8f6c\u6362\u4e3aNumPy\u6570\u7ec4<\/strong><\/h2>\n<p>image_data_resized = np.array(image_resized)<\/p>\n<h2><strong>\u5f52\u4e00\u5316\u50cf\u7d20\u503c<\/strong><\/h2>\n<p>image_data_normalized = image_data_resized \/ 255.0<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u4f7f\u7528<code>resize<\/code>\u65b9\u6cd5\u8c03\u6574\u56fe\u50cf\u5c3a\u5bf8\u4e3a256&#215;256\u50cf\u7d20\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8c03\u6574\u540e\u7684\u56fe\u50cf\u8f6c\u6362\u4e3aNumPy\u6570\u7ec4\uff0c\u5e76\u5c06\u50cf\u7d20\u503c\u5f52\u4e00\u5316\u52300\u52301\u4e4b\u95f4\u3002<\/p>\n<\/p>\n<p><h3>\u56db\u3001\u521b\u5efa\u548c\u4fdd\u5b58H5\u6587\u4ef6<\/h3>\n<\/p>\n<p><p>\u4e00\u65e6\u6211\u4eec\u5904\u7406\u597d\u56fe\u50cf\u6570\u636e\uff0c\u5c31\u53ef\u4ee5\u4f7f\u7528h5py\u5e93\u521b\u5efa\u548c\u4fdd\u5b58H5\u6587\u4ef6\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528<code>h5py.File<\/code>\u65b9\u6cd5\u521b\u5efa\u4e00\u4e2a\u65b0\u7684H5\u6587\u4ef6\uff0c\u5e76\u4f7f\u7528<code>create_dataset<\/code>\u65b9\u6cd5\u5c06\u56fe\u50cf\u6570\u636e\u4fdd\u5b58\u5230\u6587\u4ef6\u4e2d\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u521b\u5efa\u548c\u4fdd\u5b58H5\u6587\u4ef6\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u521b\u5efaH5\u6587\u4ef6<\/p>\n<p>h5_file = h5py.File(&#39;image_data.h5&#39;, &#39;w&#39;)<\/p>\n<h2><strong>\u521b\u5efa\u6570\u636e\u96c6\u5e76\u4fdd\u5b58\u56fe\u50cf\u6570\u636e<\/strong><\/h2>\n<p>h5_file.create_dataset(&#39;image_data&#39;, data=image_data_normalized)<\/p>\n<h2><strong>\u5173\u95edH5\u6587\u4ef6<\/strong><\/h2>\n<p>h5_file.close()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u4f7f\u7528<code>h5py.File<\/code>\u65b9\u6cd5\u521b\u5efa\u4e00\u4e2a\u65b0\u7684H5\u6587\u4ef6\uff0c\u5e76\u6307\u5b9a\u6587\u4ef6\u540d\u4e3a<code>image_data.h5<\/code>\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u4f7f\u7528<code>create_dataset<\/code>\u65b9\u6cd5\u521b\u5efa\u4e00\u4e2a\u6570\u636e\u96c6\uff0c\u5e76\u5c06\u5f52\u4e00\u5316\u540e\u7684\u56fe\u50cf\u6570\u636e\u4fdd\u5b58\u5230\u6570\u636e\u96c6\u4e2d\u3002\u6700\u540e\uff0c\u6211\u4eec\u5173\u95edH5\u6587\u4ef6\u3002<\/p>\n<\/p>\n<p><h3>\u4e94\u3001\u8bfb\u53d6\u548c\u9a8c\u8bc1H5\u6587\u4ef6<\/h3>\n<\/p>\n<p><p>\u4e3a\u4e86\u786e\u4fdd\u6211\u4eec\u6b63\u786e\u5730\u4fdd\u5b58\u4e86\u56fe\u50cf\u6570\u636e\uff0c\u6211\u4eec\u8fd8\u53ef\u4ee5\u8bfb\u53d6H5\u6587\u4ef6\u5e76\u9a8c\u8bc1\u6570\u636e\u7684\u5b8c\u6574\u6027\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u8bfb\u53d6\u548c\u9a8c\u8bc1H5\u6587\u4ef6\u4e2d\u7684\u56fe\u50cf\u6570\u636e\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u8bfb\u53d6H5\u6587\u4ef6<\/p>\n<p>h5_file_read = h5py.File(&#39;image_data.h5&#39;, &#39;r&#39;)<\/p>\n<h2><strong>\u83b7\u53d6\u6570\u636e\u96c6\u4e2d\u7684\u56fe\u50cf\u6570\u636e<\/strong><\/h2>\n<p>image_data_read = h5_file_read[&#39;image_data&#39;][:]<\/p>\n<h2><strong>\u5173\u95edH5\u6587\u4ef6<\/strong><\/h2>\n<p>h5_file_read.close()<\/p>\n<h2><strong>\u9a8c\u8bc1\u56fe\u50cf\u6570\u636e<\/strong><\/h2>\n<p>print(image_data_read.shape)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528<code>h5py.File<\/code>\u65b9\u6cd5\u4ee5\u53ea\u8bfb\u6a21\u5f0f\u6253\u5f00H5\u6587\u4ef6\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u83b7\u53d6\u6570\u636e\u96c6\u4e2d\u7684\u56fe\u50cf\u6570\u636e\uff0c\u5e76\u5c06\u5176\u5b58\u50a8\u5728<code>image_data_read<\/code>\u53d8\u91cf\u4e2d\u3002\u6700\u540e\uff0c\u6211\u4eec\u5173\u95edH5\u6587\u4ef6\uff0c\u5e76\u6253\u5370\u56fe\u50cf\u6570\u636e\u7684\u5f62\u72b6\u4ee5\u9a8c\u8bc1\u6570\u636e\u7684\u5b8c\u6574\u6027\u3002<\/p>\n<\/p>\n<p><h3>\u516d\u3001\u6269\u5c55\uff1a\u6279\u91cf\u5904\u7406\u591a\u5f20\u56fe\u7247<\/h3>\n<\/p>\n<p><p>\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u6279\u91cf\u5904\u7406\u591a\u5f20\u56fe\u7247\uff0c\u5e76\u5c06\u5b83\u4eec\u4fdd\u5b58\u5230\u4e00\u4e2aH5\u6587\u4ef6\u4e2d\u3002\u4e3a\u4e86\u5b9e\u73b0\u8fd9\u4e00\u70b9\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u5faa\u73af\u904d\u5386\u56fe\u7247\u6587\u4ef6\uff0c\u5e76\u5c06\u6bcf\u5f20\u56fe\u7247\u7684\u6570\u636e\u6dfb\u52a0\u5230H5\u6587\u4ef6\u4e2d\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u6279\u91cf\u5904\u7406\u591a\u5f20\u56fe\u7247\u5e76\u5c06\u5b83\u4eec\u4fdd\u5b58\u5230\u4e00\u4e2aH5\u6587\u4ef6\u4e2d\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import os<\/p>\n<h2><strong>\u56fe\u7247\u6587\u4ef6\u5939\u8def\u5f84<\/strong><\/h2>\n<p>image_folder = &#39;path\/to\/your\/image\/folder&#39;<\/p>\n<h2><strong>\u83b7\u53d6\u56fe\u7247\u6587\u4ef6\u5217\u8868<\/strong><\/h2>\n<p>image_files = [f for f in os.listdir(image_folder) if f.endswith(&#39;.jpg&#39;)]<\/p>\n<h2><strong>\u521b\u5efaH5\u6587\u4ef6<\/strong><\/h2>\n<p>h5_file_batch = h5py.File(&#39;batch_image_data.h5&#39;, &#39;w&#39;)<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u7a7a\u7684\u6570\u636e\u96c6<\/strong><\/h2>\n<p>dataset = h5_file_batch.create_dataset(&#39;image_data&#39;, (len(image_files), 256, 256, 3))<\/p>\n<h2><strong>\u904d\u5386\u56fe\u7247\u6587\u4ef6\u5e76\u5904\u7406\u56fe\u50cf\u6570\u636e<\/strong><\/h2>\n<p>for i, image_file in enumerate(image_files):<\/p>\n<p>    image_path = os.path.join(image_folder, image_file)<\/p>\n<p>    image = Image.open(image_path)<\/p>\n<p>    image_resized = image.resize((256, 256))<\/p>\n<p>    image_data_resized = np.array(image_resized) \/ 255.0<\/p>\n<p>    dataset[i] = image_data_resized<\/p>\n<h2><strong>\u5173\u95edH5\u6587\u4ef6<\/strong><\/h2>\n<p>h5_file_batch.close()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u6307\u5b9a\u4e86\u56fe\u7247\u6587\u4ef6\u5939\u7684\u8def\u5f84\uff0c\u5e76\u83b7\u53d6\u6587\u4ef6\u5939\u4e2d\u7684\u56fe\u7247\u6587\u4ef6\u5217\u8868\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u521b\u5efa\u4e00\u4e2a\u65b0\u7684H5\u6587\u4ef6\uff0c\u5e76\u521b\u5efa\u4e00\u4e2a\u7a7a\u7684\u6570\u636e\u96c6\u6765\u5b58\u50a8\u56fe\u50cf\u6570\u636e\u3002\u7136\u540e\uff0c\u6211\u4eec\u904d\u5386\u56fe\u7247\u6587\u4ef6\u5217\u8868\uff0c\u8bfb\u53d6\u548c\u5904\u7406\u6bcf\u5f20\u56fe\u7247\u7684\u6570\u636e\uff0c\u5e76\u5c06\u5904\u7406\u540e\u7684\u6570\u636e\u6dfb\u52a0\u5230\u6570\u636e\u96c6\u4e2d\u3002\u6700\u540e\uff0c\u6211\u4eec\u5173\u95edH5\u6587\u4ef6\u3002<\/p>\n<\/p>\n<p><p>\u901a\u8fc7\u4e0a\u8ff0\u6b65\u9aa4\uff0c\u6211\u4eec\u53ef\u4ee5\u65b9\u4fbf\u5730\u5728Python\u4e2d\u5c06\u56fe\u7247\u8f6c\u6362\u4e3aH5\u6587\u4ef6\uff0c\u5e76\u786e\u4fdd\u56fe\u50cf\u6570\u636e\u7684\u5b8c\u6574\u6027\u548c\u6b63\u786e\u6027\u3002\u5e0c\u671b\u8fd9\u7bc7\u6587\u7ae0\u5bf9\u60a8\u6709\u6240\u5e2e\u52a9\uff01<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u4f7f\u7528Python\u5c06\u56fe\u7247\u8f6c\u6362\u4e3aH5\u6587\u4ef6\u683c\u5f0f\uff1f<\/strong><br \/>\u53ef\u4ee5\u4f7f\u7528Python\u4e2d\u7684h5py\u5e93\u6765\u5b9e\u73b0\u56fe\u7247\u5230H5\u6587\u4ef6\u7684\u8f6c\u6362\u3002\u9996\u5148\uff0c\u60a8\u9700\u8981\u8bfb\u53d6\u56fe\u7247\u5e76\u5c06\u5176\u6570\u636e\u5b58\u50a8\u5230H5\u6587\u4ef6\u4e2d\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\u4ee3\u7801\uff1a  <\/p>\n<pre><code class=\"language-python\">import h5py\nimport numpy as np\nfrom PIL import Image\n\n# \u6253\u5f00\u56fe\u7247\u5e76\u8f6c\u6362\u4e3a\u6570\u7ec4\nimage = Image.open(&#39;your_image.jpg&#39;)\nimage_array = np.array(image)\n\n# \u521b\u5efaH5\u6587\u4ef6\u5e76\u4fdd\u5b58\u56fe\u7247\u6570\u636e\nwith h5py.File(&#39;image_data.h5&#39;, &#39;w&#39;) as h5_file:\n    h5_file.create_dataset(&#39;dataset_name&#39;, data=image_array)\n<\/code><\/pre>\n<p>\u786e\u4fdd\u60a8\u5df2\u5b89\u88c5<code>h5py<\/code>\u548c<code>Pillow<\/code>\u5e93\u3002<\/p>\n<p><strong>\u8f6c\u6362\u540e\u7684H5\u6587\u4ef6\u5305\u542b\u54ea\u4e9b\u4fe1\u606f\uff1f<\/strong><br \/>H5\u6587\u4ef6\u683c\u5f0f\u975e\u5e38\u7075\u6d3b\uff0c\u80fd\u591f\u5b58\u50a8\u591a\u7ef4\u6570\u7ec4\u548c\u5404\u79cd\u6570\u636e\u7c7b\u578b\u3002\u5728\u8f6c\u6362\u56fe\u7247\u65f6\uff0cH5\u6587\u4ef6\u4f1a\u5305\u542b\u56fe\u7247\u7684\u50cf\u7d20\u503c\u3001\u5c3a\u5bf8\u3001\u901a\u9053\u4fe1\u606f\u7b49\u3002\u8fd9\u4f7f\u5f97H5\u6587\u4ef6\u4e0d\u4ec5\u9002\u5408\u5b58\u50a8\u5355\u5f20\u56fe\u7247\uff0c\u8fd8\u53ef\u4ee5\u7528\u4e8e\u5b58\u50a8\u591a\u4e2a\u56fe\u50cf\u6216\u5176\u5b83\u76f8\u5173\u4fe1\u606f\uff0c\u5982\u6807\u7b7e\u548c\u5143\u6570\u636e\u3002<\/p>\n<p><strong>\u5982\u4f55\u8bfb\u53d6H5\u6587\u4ef6\u4e2d\u7684\u56fe\u7247\u6570\u636e\uff1f<\/strong><br \/>\u8981\u8bfb\u53d6H5\u6587\u4ef6\u4e2d\u7684\u56fe\u7247\u6570\u636e\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\uff1a  <\/p>\n<pre><code class=\"language-python\">import h5py\nimport numpy as np\nfrom PIL import Image\n\n# \u6253\u5f00H5\u6587\u4ef6\nwith h5py.File(&#39;image_data.h5&#39;, &#39;r&#39;) as h5_file:\n    image_data = h5_file[&#39;dataset_name&#39;][:]\n    image = Image.fromarray(image_data)\n    image.show()  # \u663e\u793a\u56fe\u7247\n<\/code><\/pre>\n<p>\u8fd9\u6bb5\u4ee3\u7801\u5c06\u4eceH5\u6587\u4ef6\u4e2d\u63d0\u53d6\u5b58\u50a8\u7684\u56fe\u7247\u6570\u636e\u5e76\u663e\u793a\u51fa\u6765\uff0c\u786e\u4fdd\u5728\u8bfb\u53d6\u65f6\u4f7f\u7528\u6b63\u786e\u7684\u6570\u636e\u96c6\u540d\u79f0\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u5c06\u56fe\u7247\u8f6c\u6362\u4e3aH5\u6587\u4ef6\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u6b65\u9aa4\uff1a\u5bfc\u5165\u6240\u9700\u5e93\u3001\u8bfb\u53d6\u56fe\u7247\u3001\u5904\u7406\u56fe\u50cf\u6570\u636e\u3001\u521b\u5efa\u548c\u4fdd\u5b58H5\u6587\u4ef6 [&hellip;]","protected":false},"author":3,"featured_media":1142353,"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\/1142348"}],"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=1142348"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1142348\/revisions"}],"predecessor-version":[{"id":1142354,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1142348\/revisions\/1142354"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1142353"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1142348"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1142348"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1142348"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}