Converted test to python notebook example.

notebooks/example_ms.ipynb

@@ -0,0 +1,60 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "from bm3dornl.bm3d import bm3d_ring_artifact_removal_ms\n",
+    "from bm3dornl.denoiser_gpu import memory_cleanup\n",
+    "\n",
+    "with open(\"../../tests/bm3dornl-data/sino.npy\", \"rb\") as f:\n",
+    "    sino_noisy = np.load(f)\n",
+    "\n",
+    "memory_cleanup()\n",
+    "\n",
+    "block_matching_kwargs: dict = {\n",
+    "    \"patch_size\": (8, 8),\n",
+    "    \"stride\": 3,\n",
+    "    \"background_threshold\": 0.0,\n",
+    "    \"cut_off_distance\": (64, 64),\n",
+    "    \"num_patches_per_group\": 32,\n",
+    "    \"padding_mode\": \"circular\",\n",
+    "}\n",
+    "filter_kwargs: dict = {\n",
+    "    \"filter_function\": \"fft\",\n",
+    "    \"shrinkage_factor\": 3e-2,\n",
+    "}\n",
+    "kwargs = {\n",
+    "    \"mode\": \"simple\",\n",
+    "    \"k\": 4,\n",
+    "    \"block_matching_kwargs\": block_matching_kwargs,\n",
+    "    \"filter_kwargs\": filter_kwargs,\n",
+    "}\n",
+    "\n",
+    "sino_bm3dornl = bm3d_ring_artifact_removal_ms(\n",
+    "    sinogram=sino_noisy,\n",
+    "    **kwargs,\n",
+    ")\n",
+    "\n",
+    "\n",
+    "fig, axs = plt.subplots(1, 2, figsize=(12, 4))\n",
+    "axs[0].imshow(sino_noisy, cmap=\"gray\")\n",
+    "axs[0].set_title(\"Noisy sinogram\")\n",
+    "axs[1].imshow(sino_bm3dornl, cmap=\"gray\")\n",
+    "axs[1].set_title(\"BM3D denoised sinogram\")\n",
+    "plt.show()\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}