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Project-MONAI · Sep 9, 2024 · 8eec20d · 8eec20d
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diff --git a/generation/2d_autoencoderkl/2d_autoencoderkl_tutorial.ipynb b/generation/2d_autoencoderkl/2d_autoencoderkl_tutorial.ipynb
@@ -272,20 +272,19 @@
    "source": [
     "image_size = 64\n",
     "all_transforms = [\n",
-    "                    transforms.LoadImaged(keys=[\"image\"]),\n",
-    "                    transforms.EnsureChannelFirstd(keys=[\"image\"]),\n",
-    "                    transforms.ScaleIntensityRanged(keys=[\"image\"], a_min=0.0,\n",
-    "                                                    a_max=255.0, b_min=0.0, b_max=1.0, clip=True),\n",
-    "                    transforms.RandAffined(\n",
-    "                        keys=[\"image\"],\n",
-    "                        rotate_range=[(-np.pi / 36, np.pi / 36), (-np.pi / 36, np.pi / 36)],\n",
-    "                        translate_range=[(-1, 1), (-1, 1)],\n",
-    "                        scale_range=[(-0.05, 0.05), (-0.05, 0.05)],\n",
-    "                        spatial_size=[image_size, image_size],\n",
-    "                        padding_mode=\"zeros\",\n",
-    "                        prob=0.5,\n",
-    "                      ),\n",
-    "                 ]"
+    "    transforms.LoadImaged(keys=[\"image\"]),\n",
+    "    transforms.EnsureChannelFirstd(keys=[\"image\"]),\n",
+    "    transforms.ScaleIntensityRanged(keys=[\"image\"], a_min=0.0, a_max=255.0, b_min=0.0, b_max=1.0, clip=True),\n",
+    "    transforms.RandAffined(\n",
+    "        keys=[\"image\"],\n",
+    "        rotate_range=[(-np.pi / 36, np.pi / 36), (-np.pi / 36, np.pi / 36)],\n",
+    "        translate_range=[(-1, 1), (-1, 1)],\n",
+    "        scale_range=[(-0.05, 0.05), (-0.05, 0.05)],\n",
+    "        spatial_size=[image_size, image_size],\n",
+    "        padding_mode=\"zeros\",\n",
+    "        prob=0.5,\n",
+    "    ),\n",
+    "]"
    ]
   },
   {
@@ -552,10 +551,12 @@
     "    epoch_disc_loss_list.append(disc_epoch_loss / len(train_loader))\n",
     "\n",
     "    if epoch % print_every == 0:\n",
-    "        msgs = [f\"epoch {epoch:d}/{max_epochs:d}:\",\n",
-    "                f\"recons loss: {epoch_recon_loss_list[-1]:4f},\"\n",
-    "                f\"gen_loss: {epoch_gen_loss_list[-1]:4f},\"\n",
-    "                f\"disc_loss: {epoch_disc_loss_list[-1]:4f}\"]\n",
+    "        msgs = [\n",
+    "            f\"epoch {epoch:d}/{max_epochs:d}:\",\n",
+    "            f\"recons loss: {epoch_recon_loss_list[-1]:4f},\"\n",
+    "            f\"gen_loss: {epoch_gen_loss_list[-1]:4f},\"\n",
+    "            f\"disc_loss: {epoch_disc_loss_list[-1]:4f}\",\n",
+    "        ]\n",
     "        print(\"\".join(msgs))\n",
     "\n",
     "    if (epoch + 1) % val_interval == 0:\n",

diff --git a/generation/3d_autoencoderkl/3d_autoencoderkl_tutorial.ipynb b/generation/3d_autoencoderkl/3d_autoencoderkl_tutorial.ipynb
@@ -178,16 +178,16 @@
    "outputs": [],
    "source": [
     "all_transforms = [\n",
-    "                    transforms.LoadImaged(keys=[\"image\"]),\n",
-    "                    transforms.EnsureChannelFirstd(keys=[\"image\"]),\n",
-    "                    transforms.Lambdad(keys=\"image\", func=lambda x: x[channel, :, :, :]),\n",
-    "                    transforms.EnsureChannelFirstd(keys=[\"image\"], channel_dim=\"no_channel\"),\n",
-    "                    transforms.EnsureTyped(keys=[\"image\"]),\n",
-    "                    transforms.Orientationd(keys=[\"image\"], axcodes=\"RAS\"),\n",
-    "                    transforms.Spacingd(keys=[\"image\"], pixdim=(2.4, 2.4, 2.2), mode=(\"bilinear\")),\n",
-    "                    transforms.CenterSpatialCropd(keys=[\"image\"], roi_size=(96, 96, 64)),\n",
-    "                    transforms.ScaleIntensityRangePercentilesd(keys=\"image\", lower=0, upper=99.5, b_min=0, b_max=1),\n",
-    "                 ]"
+    "    transforms.LoadImaged(keys=[\"image\"]),\n",
+    "    transforms.EnsureChannelFirstd(keys=[\"image\"]),\n",
+    "    transforms.Lambdad(keys=\"image\", func=lambda x: x[channel, :, :, :]),\n",
+    "    transforms.EnsureChannelFirstd(keys=[\"image\"], channel_dim=\"no_channel\"),\n",
+    "    transforms.EnsureTyped(keys=[\"image\"]),\n",
+    "    transforms.Orientationd(keys=[\"image\"], axcodes=\"RAS\"),\n",
+    "    transforms.Spacingd(keys=[\"image\"], pixdim=(2.4, 2.4, 2.2), mode=(\"bilinear\")),\n",
+    "    transforms.CenterSpatialCropd(keys=[\"image\"], roi_size=(96, 96, 64)),\n",
+    "    transforms.ScaleIntensityRangePercentilesd(keys=\"image\", lower=0, upper=99.5, b_min=0, b_max=1),\n",
+    "]"
    ]
   },
   {