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4 changes: 2 additions & 2 deletions bundle/05_spleen_segmentation_lightning.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -38,7 +38,7 @@
"outputs": [],
"source": [
"!python -c \"import monai\" || pip install -q \"monai-weekly[ignite,pyyaml]\"\n",
"!pip install -q pytorch-lightning~=2.0.0"
"!pip install -q pytorch-lightning>=2.1"
]
},
{
Expand Down Expand Up @@ -855,7 +855,7 @@
"execution_count": 11,
"id": "c5ba337d-a5b0-47de-9ae2-1554a2cb4f86",
"metadata": {},
"outputs": [
"outputs": [
{
"name": "stdout",
"output_type": "stream",
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Original file line number Diff line number Diff line change
Expand Up @@ -398,7 +398,7 @@
],
"source": [
"for lb in labels:\n",
" print(f\"{lb:30} {df_scene[df_scene[lb]>0].scene.nunique()}\")"
" print(f\"{lb:30} {df_scene[df_scene[lb] > 0].scene.nunique()}\")"
]
},
{
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100 changes: 3 additions & 97 deletions computer_assisted_intervention/endoscopic_inbody_classification.ipynb

Large diffs are not rendered by default.

6 changes: 3 additions & 3 deletions deep_atlas/deep_atlas_tutorial.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -1255,7 +1255,7 @@
"val_interval = 5\n",
"\n",
"for epoch_number in range(max_epochs):\n",
" print(f\"Epoch {epoch_number+1}/{max_epochs}:\")\n",
" print(f\"Epoch {epoch_number + 1}/{max_epochs}:\")\n",
"\n",
" seg_net.train()\n",
" losses = []\n",
Expand Down Expand Up @@ -1797,7 +1797,7 @@
"best_reg_validation_loss = float(\"inf\")\n",
"\n",
"for epoch_number in range(max_epochs):\n",
" print(f\"Epoch {epoch_number+1}/{max_epochs}:\")\n",
" print(f\"Epoch {epoch_number + 1}/{max_epochs}:\")\n",
"\n",
" # ------------------------------------------------\n",
" # reg_net training, with seg_net frozen\n",
Expand Down Expand Up @@ -2320,7 +2320,7 @@
"preview_image(det, normalize_by=\"slice\", threshold=0)\n",
"loss = lncc_loss(example_warped_image, img12[:, [0], :, :, :]).item()\n",
"print(f\"Similarity loss: {loss}\")\n",
"print(f\"number of folds: {(det<=0).sum()}\")\n",
"print(f\"number of folds: {(det <= 0).sum()}\")\n",
"\n",
"del reg_net_example_output, img12, example_warped_image\n",
"torch.cuda.empty_cache()"
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