pytorch
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@@ -445,7 +445,7 @@ def show_landmarks_batch(sample_batched):
 #    from torchvision import transforms, datasets
 #
 #    data_transform = transforms.Compose([
-#            transforms.RandomSizedCrop(224),
+#            transforms.RandomResizedCrop(224),
 #            transforms.RandomHorizontalFlip(),
 #            transforms.ToTensor(),
 #            transforms.Normalize(mean=[0.485, 0.456, 0.406],
 
@@ -567,7 +567,7 @@
     "from torchvision import transforms, datasets\n",
     "\n",
     "data_transform = transforms.Compose([\n",
-    "        transforms.RandomSizedCrop(224),\n",
+    "        transforms.RandomResizedCrop(224),\n",
     "        transforms.RandomHorizontalFlip(),\n",
     "        transforms.ToTensor(),\n",
     "        transforms.Normalize(mean=[0.485, 0.456, 0.406],\n",
Original file line number	Diff line number	Diff line change
`@@ -445,7 +445,7 @@ def show_landmarks_batch(sample_batched):`
`445`	`445`	`# from torchvision import transforms, datasets`
`446`	`446`	`#`
`447`	`447`	`# data_transform = transforms.Compose([`
`448`		`-# transforms.RandomSizedCrop(224),`
	`448`	`+# transforms.RandomResizedCrop(224),`
`449`	`449`	`# transforms.RandomHorizontalFlip(),`
`450`	`450`	`# transforms.ToTensor(),`
`451`	`451`	`# transforms.Normalize(mean=[0.485, 0.456, 0.406],`