diff --git a/examples/integrations/itk/ThinPlateSpline.ipynb b/examples/integrations/itk/ThinPlateSpline.ipynb
index 5af3a8c0..3ea7f1c1 100644
--- a/examples/integrations/itk/ThinPlateSpline.ipynb
+++ b/examples/integrations/itk/ThinPlateSpline.ipynb
@@ -21,7 +21,7 @@
"source": [
"import sys, os\n",
"\n",
- "!{sys.executable} -m pip install -q \"itk>=5.3.0\" \"itkwidgets[all]>=1.0a21\""
+ "!{sys.executable} -m pip install -q tqdm pooch \"itk>=5.3.0\" \"itkwidgets[all]>=1.0a21\""
]
},
{
@@ -29,15 +29,7 @@
"execution_count": 2,
"id": "67df7916-4a81-4880-b575-f65dfab17bd5",
"metadata": {},
- "outputs": [
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "CUDA initialization: CUDA unknown error - this may be due to an incorrectly set up environment, e.g. changing env variable CUDA_VISIBLE_DEVICES after program start. Setting the available devices to be zero. (Triggered internally at ../c10/cuda/CUDAFunctions.cpp:109.)\n"
- ]
- }
- ],
+ "outputs": [],
"source": [
"import itk\n",
"import pooch\n",
@@ -47,22 +39,22 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 6,
"id": "dca03164-73f6-41fb-abd2-bb9b76f2fa74",
"metadata": {},
"outputs": [],
"source": [
"# Download data\n",
"files = pooch.retrieve(\n",
- " url='https://examples.itk.org/src/core/transform/deformavolumewithathinplatespline/DeformAVolumeWithAThinPlateSpline.zip',\n",
- " known_hash='sha256:f01ea2e7fc91cc8e832397e46b18d2b62b74de306a5ba7a4d441837aaeea7e8d',\n",
+ " url='https://bafybeidii6e4zhuswkhw7tm3dalmfw5yt4mja5yf3gb7t4jur3rdgdecve.ipfs.w3s.link/ipfs/bafybeidii6e4zhuswkhw7tm3dalmfw5yt4mja5yf3gb7t4jur3rdgdecve/DeformAVolumeWithAThinPlateSpline.zip',\n",
+ " known_hash='sha256:d267f9216d11c3f953b3a2601f38d1434ab97c17834dca0ad1b3ff558226c9c1',\n",
" processor=pooch.Unzip(), path=\"./\", fname=\"ThinPlateSpline\", progressbar=True)\n",
"file_path = os.path.commonpath(files)"
]
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 7,
"id": "53b5b965-497e-46b7-8c14-d157ff5fed4f",
"metadata": {},
"outputs": [],
@@ -76,7 +68,7 @@
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+ "execution_count": 8,
"id": "2b3e6002-73f1-4971-8d43-b4a20681635b",
"metadata": {},
"outputs": [],
@@ -87,7 +79,7 @@
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+ "execution_count": 9,
"id": "f9bcdbb3-6140-4a0e-b654-446438761356",
"metadata": {},
"outputs": [],
@@ -102,7 +94,7 @@
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- "execution_count": 7,
+ "execution_count": 12,
"id": "d2056fee-e695-43b3-abfb-156e5d749c4d",
"metadata": {},
"outputs": [
@@ -110,11 +102,11 @@
"data": {
"text/html": [
"\n",
- " 
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+ " 
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@@ -130,7 +122,7 @@
{
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"application/javascript": [
- "window.connectPlugin && window.connectPlugin(\"24162cfb-f786-4fe2-84e6-cdbbe0865546\")"
+ "window.connectPlugin && window.connectPlugin(\"73c219ba-0b2f-4e68-a934-de0708a96ab7\")"
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@@ -142,7 +134,7 @@
{
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+ ""
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@@ -154,21 +146,21 @@
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+ "execution_count": 12,
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"source": [
- "view(point_sets=source_landmarks)"
+ "view(point_set=source_landmarks)"
]
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+ "execution_count": 13,
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@@ -183,7 +175,7 @@
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+ "execution_count": 15,
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@@ -191,11 +183,11 @@
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+ " 
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@@ -211,7 +203,7 @@
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"source": [
- "view(point_sets=target_landmarks)"
+ "view(point_set=target_landmarks)"
]
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+ "execution_count": 16,
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@@ -261,7 +253,7 @@
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@@ -269,11 +261,11 @@
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@@ -289,7 +281,7 @@
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@@ -327,7 +319,7 @@
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@@ -342,7 +334,7 @@
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@@ -352,7 +344,7 @@
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@@ -360,11 +352,11 @@
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@@ -380,7 +372,7 @@
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@@ -418,7 +410,7 @@
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@@ -429,7 +421,7 @@
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@@ -457,7 +449,7 @@
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+ "window.connectPlugin && window.connectPlugin(\"73c219ba-0b2f-4e68-a934-de0708a96ab7\")"
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@@ -518,7 +510,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.8.10"
+ "version": "3.9.12"
}
},
"nbformat": 4,