{"id":6259,"date":"2024-12-28T21:06:13","date_gmt":"2024-12-28T13:06:13","guid":{"rendered":"https:\/\/www.xinyixx.com\/?p=6259"},"modified":"2024-12-28T21:06:50","modified_gmt":"2024-12-28T13:06:50","slug":"kaggle_archi","status":"publish","type":"post","link":"https:\/\/www.xinyixx.com\/index.php\/2024\/12\/28\/kaggle_archi\/","title":{"rendered":"\u5728Kaggle\u5e73\u53f0\u8bad\u7ec3\u5efa\u7b51\u56fe\u7eb8\u3001\u751f\u6210\u6a21\u578b"},"content":{"rendered":"<p>\u5728 <strong>Kaggle<\/strong> \u5e73\u53f0\u4e0a\u53ef\u4ee5\u8bad\u7ec3\u5efa\u7b51\u56fe\u7eb8\u5206\u7c7b\u6216\u751f\u6210\u6a21\u578b\uff0c\u9996\u5148\u4ecb\u7ecd\u4e00\u4e0bkaggle\uff1a<\/p>\n\n\n\n<p><strong>Kaggle<\/strong> \u662f\u4e00\u4e2a\u5168\u7403\u77e5\u540d\u7684\u6570\u636e\u79d1\u5b66\u548c\u673a\u5668\u5b66\u4e60\u5e73\u53f0\uff0c\u4e13\u4e3a\u6570\u636e\u79d1\u5b66\u5bb6\u3001\u673a\u5668\u5b66\u4e60\u5de5\u7a0b\u5e08\u548c\u4eba\u5de5\u667a\u80fd\u7231\u597d\u8005\u8bbe\u8ba1\u3002Kaggle \u7531 Google \u65d7\u4e0b\u7684 Alphabet \u516c\u53f8\u8fd0\u8425\uff0c\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u8d44\u6e90\u548c\u5de5\u5177\uff0c\u5e2e\u52a9\u7528\u6237\u5feb\u901f\u4e0a\u624b\u6570\u636e\u5206\u6790\u548c\u6a21\u578b\u5f00\u53d1\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Kaggle \u7b80\u4ecb<\/h3>\n\n\n\n<p><strong>Kaggle<\/strong> \u662f\u4e00\u4e2a\u5168\u7403\u77e5\u540d\u7684\u6570\u636e\u79d1\u5b66\u548c\u673a\u5668\u5b66\u4e60\u5e73\u53f0\uff0c\u4e13\u4e3a\u6570\u636e\u79d1\u5b66\u5bb6\u3001\u673a\u5668\u5b66\u4e60\u5de5\u7a0b\u5e08\u548c\u4eba\u5de5\u667a\u80fd\u7231\u597d\u8005\u8bbe\u8ba1\u3002Kaggle \u7531 Google \u65d7\u4e0b\u7684 Alphabet \u516c\u53f8\u8fd0\u8425\uff0c\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u8d44\u6e90\u548c\u5de5\u5177\uff0c\u5e2e\u52a9\u7528\u6237\u5feb\u901f\u4e0a\u624b\u6570\u636e\u5206\u6790\u548c\u6a21\u578b\u5f00\u53d1\u3002<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\">\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Kaggle \u7684\u4e3b\u8981\u529f\u80fd<\/strong><\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u6570\u636e\u96c6\u5e73\u53f0<\/strong>\n<ul class=\"wp-block-list\">\n<li>\u63d0\u4f9b\u6d77\u91cf\u7684\u514d\u8d39\u6570\u636e\u96c6\uff0c\u6db5\u76d6\u91d1\u878d\u3001\u533b\u7597\u3001\u81ea\u7136\u8bed\u8a00\u5904\u7406\u3001\u56fe\u50cf\u5904\u7406\u7b49\u9886\u57df\u3002<\/li>\n\n\n\n<li>\u7528\u6237\u53ef\u4e0a\u4f20\u548c\u5171\u4eab\u81ea\u5df1\u7684\u6570\u636e\u96c6\uff0c\u5efa\u7acb\u5f00\u653e\u7684\u6570\u636e\u751f\u6001\u7cfb\u7edf\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u7ade\u8d5b\uff08Competitions\uff09<\/strong>\n<ul class=\"wp-block-list\">\n<li>\u5e73\u53f0\u7ec4\u7ec7\u5168\u7403\u6027\u7684\u673a\u5668\u5b66\u4e60\u7ade\u8d5b\uff0c\u5438\u5f15\u4e86\u6765\u81ea\u5404\u4e2a\u884c\u4e1a\u7684\u9876\u5c16\u56e2\u961f\u548c\u4e2a\u4eba\u3002<\/li>\n\n\n\n<li>\u53c2\u8d5b\u8005\u901a\u8fc7\u6784\u5efa\u6a21\u578b\u89e3\u51b3\u5b9e\u9645\u95ee\u9898\uff08\u5982\u9884\u6d4b\u3001\u5206\u7c7b\u7b49\uff09\uff0c\u53ef\u83b7\u5f97\u4e30\u539a\u5956\u91d1\u548c\u4e1a\u5185\u8ba4\u53ef\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Kaggle Notebook<\/strong>\n<ul class=\"wp-block-list\">\n<li>\u63d0\u4f9b\u4e91\u7aef\u7f16\u7a0b\u73af\u5883\uff0c\u652f\u6301 Python \u548c R \u7f16\u7a0b\u8bed\u8a00\u3002<\/li>\n\n\n\n<li>\u96c6\u6210\u4e86 GPU \u548c TPU \u52a0\u901f\uff0c\u65e0\u9700\u914d\u7f6e\u672c\u5730\u73af\u5883\u5373\u53ef\u5feb\u901f\u5b9e\u9a8c\u548c\u5f00\u53d1\u6a21\u578b\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u8ba8\u8bba\u793e\u533a\uff08Discussion\uff09<\/strong>\n<ul class=\"wp-block-list\">\n<li>\u7528\u6237\u53ef\u4ee5\u5c31\u6280\u672f\u95ee\u9898\u3001\u7ade\u8d5b\u7b56\u7565\u548c\u7814\u7a76\u8fdb\u5c55\u5c55\u5f00\u8ba8\u8bba\u3002<\/li>\n\n\n\n<li>\u521d\u5b66\u8005\u548c\u4e13\u5bb6\u53ef\u901a\u8fc7\u4e92\u52a8\u76f8\u4e92\u5b66\u4e60\uff0c\u5171\u540c\u6210\u957f\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u4ee3\u7801\u5171\u4eab\u4e0e Kernels<\/strong>\n<ul class=\"wp-block-list\">\n<li>\u7528\u6237\u53ef\u5206\u4eab\u81ea\u5df1\u7684\u4ee3\u7801\u548c\u5206\u6790\u6d41\u7a0b\uff0c\u5f62\u6210\u5f00\u653e\u5171\u4eab\u7684\u5b66\u4e60\u8d44\u6e90\u3002<\/li>\n\n\n\n<li>Kernels\uff08\u73b0\u79f0\u4e3a Notebooks\uff09\u652f\u6301\u4ee3\u7801\u53ef\u89c6\u5316\u3001\u8fd0\u884c\u548c\u5206\u4eab\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u5b66\u4e60\u8d44\u6e90<\/strong>\n<ul class=\"wp-block-list\">\n<li>\u63d0\u4f9b\u4ece\u57fa\u7840\u5230\u9ad8\u7ea7\u7684\u5b66\u4e60\u8bfe\u7a0b\uff0c\u5305\u62ec\u6570\u636e\u53ef\u89c6\u5316\u3001\u673a\u5668\u5b66\u4e60\u3001\u6df1\u5ea6\u5b66\u4e60\u7b49\u5185\u5bb9\u3002<\/li>\n\n\n\n<li>\u7528\u6237\u53ef\u4ee5\u901a\u8fc7\u53c2\u4e0e\u5fae\u578b\u8bfe\u7a0b\uff08Micro-Courses\uff09\u5feb\u901f\u4e0a\u624b\u65b0\u6280\u672f\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n<p>\u4ece\u6570\u636e\u51c6\u5907\u5230\u6a21\u578b\u8bad\u7ec3\u548c\u8bc4\u4f30\uff0c\u5177\u4f53\u6d41\u7a0b\u5982\u4e0b\uff1a<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><noscript><img decoding=\"async\" width=\"1024\" height=\"475\" src=\"http:\/\/101.42.96.217:21080\/wp-content\/uploads\/2024\/12\/image-54-1024x475.png\" alt class=\"wp-image-6260\" srcset=\"https:\/\/www.xinyixx.com\/wp-content\/uploads\/2024\/12\/image-54-1024x475.png 1024w, https:\/\/www.xinyixx.com\/wp-content\/uploads\/2024\/12\/image-54-300x139.png 300w, https:\/\/www.xinyixx.com\/wp-content\/uploads\/2024\/12\/image-54-768x356.png 768w, https:\/\/www.xinyixx.com\/wp-content\/uploads\/2024\/12\/image-54.png 1248w\" sizes=\"(max-width: 1024px) 100vw, 1024px\"><\/noscript><img decoding=\"async\" width=\"1024\" height=\"475\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20viewBox%3D%220%200%201024%20475%22%3E%3C%2Fsvg%3E\" alt class=\"wp-image-6260 lazyload\" srcset=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20viewBox%3D%220%200%201024%20475%22%3E%3C%2Fsvg%3E 1024w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" data-srcset=\"https:\/\/www.xinyixx.com\/wp-content\/uploads\/2024\/12\/image-54-1024x475.png 1024w, https:\/\/www.xinyixx.com\/wp-content\/uploads\/2024\/12\/image-54-300x139.png 300w, https:\/\/www.xinyixx.com\/wp-content\/uploads\/2024\/12\/image-54-768x356.png 768w, https:\/\/www.xinyixx.com\/wp-content\/uploads\/2024\/12\/image-54.png 1248w\" data-src=\"http:\/\/101.42.96.217:21080\/wp-content\/uploads\/2024\/12\/image-54-1024x475.png\"><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>1. \u9879\u76ee\u51c6\u5907<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>\u76ee\u6807\u5b9a\u4e49<\/strong><\/h3>\n\n\n\n<p>\u660e\u786e\u4efb\u52a1\u662f\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u5206\u7c7b<\/strong>\uff1a\u5bf9\u5efa\u7b51\u56fe\u7eb8\u8fdb\u884c\u5206\u7c7b\uff08\u5982\u5e73\u9762\u56fe\u3001\u7acb\u9762\u56fe\u3001\u5256\u9762\u56fe\u7b49\uff09\u3002<\/li>\n\n\n\n<li><strong>\u751f\u6210<\/strong>\uff1a\u901a\u8fc7\u8f93\u5165\uff08\u5982\u6587\u672c\u6216\u8349\u56fe\uff09\u751f\u6210\u5efa\u7b51\u56fe\u7eb8\u6216\u8bbe\u8ba1\u3002<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>\u5de5\u5177\u4e0e\u6846\u67b6<\/strong><\/h3>\n\n\n\n<p>Kaggle \u63d0\u4f9b\u4ee5\u4e0b\u8d44\u6e90\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u6570\u636e\u96c6<\/strong>\uff1a\u641c\u7d22\u6216\u4e0a\u4f20\u76f8\u5173\u6570\u636e\u96c6\u3002<\/li>\n\n\n\n<li><strong>\u73af\u5883<\/strong>\uff1a\u4f7f\u7528 Kaggle Notebook\uff08\u652f\u6301 TensorFlow\u3001PyTorch\u3001Scikit-learn \u7b49\uff09\u3002<\/li>\n\n\n\n<li><strong>GPU\u652f\u6301<\/strong>\uff1a\u542f\u7528 GPU \u63d0\u5347\u8bad\u7ec3\u901f\u5ea6\u3002<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>\u6570\u636e\u83b7\u53d6<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u516c\u5171\u6570\u636e\u96c6<\/strong>\uff1a\u5728 Kaggle \u6570\u636e\u5e93\u4e2d\u641c\u7d22\u5173\u952e\u8bcd\uff08\u5982 \u201carchitectural drawings\u201d\uff09\u3002<\/li>\n\n\n\n<li><strong>\u81ea\u5b9a\u4e49\u6570\u636e<\/strong>\uff1a\u4e0a\u4f20\u81ea\u5df1\u7684\u5efa\u7b51\u56fe\u7eb8\u6570\u636e\u96c6\uff0c\u9700\u786e\u4fdd\u6570\u636e\u683c\u5f0f\u7edf\u4e00\u3002<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>\u6570\u636e\u6e05\u6d17\u4e0e\u6807\u6ce8<\/strong><\/h3>\n\n\n\n<p>\u5bf9\u6570\u636e\u8fdb\u884c\u9884\u5904\u7406\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u5206\u7c7b\u4efb\u52a1<\/strong>\uff1a\n<ul class=\"wp-block-list\">\n<li>\u56fe\u7eb8\u5206\u7c7b\u6807\u7b7e\uff1a<code>{\"plan\": 0, \"elevation\": 1, \"section\": 2}<\/code>\u3002<\/li>\n\n\n\n<li>\u8f6c\u6362\u4e3a CSV \u6587\u4ef6\uff1a\u5305\u542b\u6587\u4ef6\u8def\u5f84\u53ca\u5176\u5bf9\u5e94\u7684\u6807\u7b7e\u3002<\/li>\n\n\n\n<li>\u56fe\u50cf\u5c3a\u5bf8\u5f52\u4e00\u5316\uff1a\u5982\u8c03\u6574\u5230 <code>256x256<\/code>\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u751f\u6210\u4efb\u52a1<\/strong>\uff1a\n<ul class=\"wp-block-list\">\n<li>\u7ed3\u6784\u5316\u8f93\u5165\u4e0e\u8f93\u51fa\u6570\u636e\uff1a\u5982\u624b\u7ed8\u8349\u56fe\u4e0e\u6700\u7ec8\u5efa\u7b51\u56fe\u7eb8\u7684\u6210\u5bf9\u6570\u636e\u3002<\/li>\n\n\n\n<li>\u6570\u636e\u589e\u5f3a\uff1a\u589e\u52a0\u7ffb\u8f6c\u3001\u7f29\u653e\u7b49\u64cd\u4f5c\uff0c\u63d0\u5347\u6a21\u578b\u6cdb\u5316\u80fd\u529b\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>3. \u6a21\u578b\u8bbe\u8ba1<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>\u5206\u7c7b\u6a21\u578b<\/strong><\/h3>\n\n\n\n<p>\u53ef\u4f7f\u7528\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08CNN\uff09\u5b9e\u73b0\u56fe\u7eb8\u5206\u7c7b\u4efb\u52a1\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u5e38\u7528\u6a21\u578b\u67b6\u6784<\/strong>\uff1aResNet\u3001EfficientNet\u3001InceptionV3 \u7b49\u3002<\/li>\n\n\n\n<li><strong>\u6b65\u9aa4<\/strong>\uff1a\n<ol class=\"wp-block-list\">\n<li>\u521d\u59cb\u5316\u9884\u8bad\u7ec3\u6a21\u578b\uff08\u5982 ResNet50\uff09\u3002<\/li>\n\n\n\n<li>\u4fee\u6539\u6700\u540e\u7684\u5168\u8fde\u63a5\u5c42\u4ee5\u9002\u5e94\u5206\u7c7b\u4efb\u52a1\u3002<\/li>\n\n\n\n<li>\u6dfb\u52a0 Dropout \u5c42\u907f\u514d\u8fc7\u62df\u5408\u3002<\/li>\n\n\n\n<li>\u4f7f\u7528\u4ea4\u53c9\u71b5\u635f\u5931\u51fd\u6570\u548c Adam \u4f18\u5316\u5668\u3002<\/li>\n<\/ol>\n<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>\u751f\u6210\u6a21\u578b<\/strong><\/h3>\n\n\n\n<p>\u751f\u6210\u5efa\u7b51\u56fe\u7eb8\u5e38\u7528\u751f\u6210\u5bf9\u6297\u7f51\u7edc\uff08GAN\uff09\u6216\u6269\u6563\u6a21\u578b\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u5de5\u5177\u9009\u62e9<\/strong>\uff1a\n<ul class=\"wp-block-list\">\n<li>Pix2Pix\uff1a\u7528\u4e8e\u4ece\u8349\u56fe\u751f\u6210\u5efa\u7b51\u56fe\u3002<\/li>\n\n\n\n<li>ControlNet\uff1a\u7ed3\u5408\u8f93\u5165\u63a7\u5236\u6761\u4ef6\u751f\u6210\u56fe\u7eb8\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u6b65\u9aa4<\/strong>\uff1a\n<ol class=\"wp-block-list\">\n<li>\u6784\u5efa\u751f\u6210\u5668\u548c\u5224\u522b\u5668\u7f51\u7edc\u3002<\/li>\n\n\n\n<li>\u4f7f\u7528 L1 \u635f\u5931\u548c\u5bf9\u6297\u6027\u635f\u5931\u5171\u540c\u4f18\u5316\u3002<\/li>\n\n\n\n<li>\u5bf9\u8f93\u5165\u6570\u636e\uff08\u5982\u624b\u7ed8\u8349\u56fe\uff09\u8fdb\u884c\u6761\u4ef6\u7f16\u7801\uff0c\u751f\u6210\u76ee\u6807\u8bbe\u8ba1\u3002<\/li>\n<\/ol>\n<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>4. \u6a21\u578b\u8bad\u7ec3<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>\u5206\u7c7b\u6a21\u578b<\/strong><\/h3>\n\n\n\n<pre class=\"wp-block-preformatted\">python\u590d\u5236\u4ee3\u7801<code>import tensorflow as tf\nfrom tensorflow.keras.applications import ResNet50\nfrom tensorflow.keras.layers import Dense, Dropout, Flatten\nfrom tensorflow.keras.models import Sequential\n\n# \u52a0\u8f7d\u9884\u8bad\u7ec3\u6a21\u578b\nbase_model = ResNet50(weights=\"imagenet\", include_top=False, input_shape=(256, 256, 3))\n\n# \u81ea\u5b9a\u4e49\u9876\u5c42\nmodel = Sequential([\n    base_model,\n    Flatten(),\n    Dense(256, activation=\"relu\"),\n    Dropout(0.5),\n    Dense(3, activation=\"softmax\")  # \u4e09\u5206\u7c7b\n])\n\n# \u7f16\u8bd1\u6a21\u578b\nmodel.compile(optimizer=\"adam\", loss=\"sparse_categorical_crossentropy\", metrics=[\"accuracy\"])\n\n# \u8bad\u7ec3\u6a21\u578b\nmodel.fit(train_data, train_labels, validation_data=(val_data, val_labels), epochs=10)\n<\/code><\/pre>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>\u751f\u6210\u6a21\u578b<\/strong><\/h3>\n\n\n\n<p>\u4f7f\u7528 Pix2Pix \u6216 ControlNet \u7684 PyTorch \u5b9e\u73b0\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\"><code>import torch<br>import torchvision.transforms as T<br>from torchvision.models import pix2pix<br><br># \u521d\u59cb\u5316\u751f\u6210\u5668\u548c\u5224\u522b\u5668<br>generator = pix2pix.get_model(\"resnet\", pretrained=True)<br>discriminator = pix2pix.get_discriminator()<br><br># \u5b9a\u4e49\u635f\u5931\u51fd\u6570\u548c\u4f18\u5316\u5668<br>criterion = torch.nn.MSELoss()<br>optimizer_g = torch.optim.Adam(generator.parameters(), lr=0.0002)<br>optimizer_d = torch.optim.Adam(discriminator.parameters(), lr=0.0002)<br><br># \u8bad\u7ec3\u5faa\u73af<br>for epoch in range(epochs):<br>    for i, (inputs, targets) in enumerate(train_loader):<br>        # \u751f\u6210\u5668\u548c\u5224\u522b\u5668\u7684\u524d\u5411\u4f20\u64ad\u548c\u4f18\u5316<br>        outputs = generator(inputs)<br>        loss_g = criterion(outputs, targets)<br>        loss_d = criterion(discriminator(outputs), torch.ones_like(outputs))<br>        <br>        optimizer_g.zero_grad()<br>        loss_g.backward()<br>        optimizer_g.step()<br><br>        optimizer_d.zero_grad()<br>        loss_d.backward()<br>        optimizer_d.step()<\/code><\/pre>\n","protected":false},"excerpt":{"rendered":"<p>\u5728 Kaggle \u5e73\u53f0\u4e0a\u53ef\u4ee5\u8bad\u7ec3\u5efa\u7b51\u56fe\u7eb8\u5206\u7c7b\u6216\u751f\u6210\u6a21\u578b\uff0c\u9996\u5148\u4ecb\u7ecd\u4e00\u4e0bkaggle\uff1a Kaggle \u662f\u4e00\u4e2a\u5168\u7403\u77e5 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_import_markdown_pro_load_document_selector":0,"_import_markdown_pro_submit_text_textarea":"","footnotes":""},"categories":[5,10],"tags":[],"class_list":["post-6259","post","type-post","status-publish","format-standard","hentry","category-ai-learn","category-coding","entry"],"_links":{"self":[{"href":"https:\/\/www.xinyixx.com\/index.php\/wp-json\/wp\/v2\/posts\/6259","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.xinyixx.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.xinyixx.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.xinyixx.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.xinyixx.com\/index.php\/wp-json\/wp\/v2\/comments?post=6259"}],"version-history":[{"count":1,"href":"https:\/\/www.xinyixx.com\/index.php\/wp-json\/wp\/v2\/posts\/6259\/revisions"}],"predecessor-version":[{"id":6261,"href":"https:\/\/www.xinyixx.com\/index.php\/wp-json\/wp\/v2\/posts\/6259\/revisions\/6261"}],"wp:attachment":[{"href":"https:\/\/www.xinyixx.com\/index.php\/wp-json\/wp\/v2\/media?parent=6259"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.xinyixx.com\/index.php\/wp-json\/wp\/v2\/categories?post=6259"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.xinyixx.com\/index.php\/wp-json\/wp\/v2\/tags?post=6259"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}