{
 "<h1>Carvana Dataset for the <a href=\"index.html\">U-Net</a> <a href=\"experiment.html\">experiment</a></h1>\n<p>You can find the download instructions <a href=\"https://www.kaggle.com/competitions/carvana-image-masking-challenge/data\">on Kaggle</a>.</p>\n<p>Save the training images inside <span translate=no>_^_0_^_</span> folder and the masks in <span translate=no>_^_1_^_</span> folder.</p>\n": "<h1><a href=\"index.html\">U-Net</a> <a href=\"experiment.html\">\u5b9e\u9a8c</a>\u7684 Carvana \u6570\u636e\u96c6</h1>\n<p>\u4f60\u53ef\u4ee5<a href=\"https://www.kaggle.com/competitions/carvana-image-masking-challenge/data\">\u5728 Kaggle \u4e0a</a>\u627e\u5230\u4e0b\u8f7d\u8bf4\u660e\u3002</p>\n<p>\u5c06\u8bad\u7ec3\u56fe\u50cf\u4fdd\u5b58\u5728<span translate=no>_^_0_^_</span>\u6587\u4ef6\u5939\u4e2d\uff0c\u5c06\u8499\u7248\u4fdd\u5b58\u5728<span translate=no>_^_1_^_</span>\u6587\u4ef6\u5939\u4e2d\u3002</p>\n",
 "<h2>Carvana Dataset</h2>\n": "<h2>Carvana \u6570\u636e\u96c6</h2>\n",
 "<h4>Get an image and its mask.</h4>\n<ul><li><span translate=no>_^_0_^_</span>  is index of the image</li></ul>\n": "<h4>\u83b7\u53d6\u56fe\u50cf\u53ca\u5176\u8499\u7248\u3002</h4>\n<ul><li><span translate=no>_^_0_^_</span>\u662f\u56fe\u50cf\u7684\u7d22\u5f15</li></ul>\n",
 "<h4>Size of the dataset</h4>\n": "<h4>\u6570\u636e\u96c6\u7684\u5927\u5c0f</h4>\n",
 "<p>Get a dictionary of images by id </p>\n": "<p>\u6309 id \u83b7\u53d6\u56fe\u50cf\u8bcd\u5178</p>\n",
 "<p>Get a dictionary of masks by id </p>\n": "<p>\u901a\u8fc7 id \u83b7\u53d6\u53e3\u7f69\u5b57\u5178</p>\n",
 "<p>Get image id </p>\n": "<p>\u83b7\u53d6\u56fe\u7247\u7f16\u53f7</p>\n",
 "<p>Image ids list </p>\n": "<p>\u6620\u50cf ID \u5217\u8868</p>\n",
 "<p>Load image </p>\n": "<p>\u52a0\u8f7d\u56fe\u7247</p>\n",
 "<p>Load mask </p>\n": "<p>\u88c5\u8f7d\u63a9\u7801</p>\n",
 "<p>Return the image and the mask </p>\n": "<p>\u8fd4\u56de\u56fe\u50cf\u548c\u8499\u7248</p>\n",
 "<p>Testing code </p>\n": "<p>\u6d4b\u8bd5\u4ee3\u7801</p>\n",
 "<p>The mask values were not <span translate=no>_^_0_^_</span>, so we scale it appropriately. </p>\n": "<p>\u63a9\u7801\u503c\u4e0d\u662f<span translate=no>_^_0_^_</span>\uff0c\u56e0\u6b64\u6211\u4eec\u5bf9\u5176\u8fdb\u884c\u4e86\u9002\u5f53\u7684\u7f29\u653e\u3002</p>\n",
 "<p>Transform image and convert it to a PyTorch tensor </p>\n": "<p>\u53d8\u6362\u56fe\u50cf\u5e76\u5c06\u5176\u8f6c\u6362\u4e3a PyTorch \u5f20\u91cf</p>\n",
 "<p>Transform mask and convert it to a PyTorch tensor </p>\n": "<p>\u53d8\u6362\u63a9\u7801\u5e76\u5c06\u5176\u8f6c\u6362\u4e3a PyTorch \u5f20\u91cf</p>\n",
 "<p>Transformations </p>\n": "<p>\u8f6c\u6362</p>\n",
 "<ul><li><span translate=no>_^_0_^_</span>  is the path to the images </li>\n<li><span translate=no>_^_1_^_</span>  is the path to the masks</li></ul>\n": "<ul><li><span translate=no>_^_0_^_</span>\u662f\u56fe\u50cf\u7684\u8def\u5f84</li>\n<li><span translate=no>_^_1_^_</span>\u662f\u901a\u5f80\u53e3\u7f69\u7684\u8def\u5f84</li></ul>\n",
 "Carvana dataset for the U-Net experiment": "U-Net \u5b9e\u9a8c\u7684 Carvana \u6570\u636e\u96c6",
 "Carvana dataset for the U-Net experiment.": "U-Net \u5b9e\u9a8c\u7684 Carvana \u6570\u636e\u96c6\u3002"
}