docs: update the jupiter notebooks

notebooks/general_template_matching_example.ipynb

@@ -24,11 +24,8 @@
         "This notebook demonstrates general template matching using the OpenFDCM library.\n",
         "Unlike the [other notebook which focused on pose estimation](https://github.com/Innoptech/OpenFDCM/blob/main/notebooks/pose_extimation_example.ipynb), this notebook covers basic template matching techniques.\n",
         "We will:\n",
-        "- Decode images from Base64 strings,\n",
         "- Detect lines using OpenCV's Fast Line Detector,\n",
-        "- Match templates efficiently using the OpenFDCM library.\n",
-        "\n",
-        "Let's get started by importing the necessary libraries and defining utility functions.\n"
+        "- Match templates efficiently using the OpenFDCM library.\n"
       ]
     },
     {
@@ -226,7 +223,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 18,
+      "execution_count": null,
       "id": "a676c48e",
       "metadata": {
         "colab": {
@@ -257,8 +254,11 @@
         }
       ],
       "source": [
+        "# Here we define two different template images\n",
         "tmpl1_image = cv2.imread(tmpl1_image_path)\n",
         "tmpl2_image = cv2.imread(tmpl2_image_path)\n",
+        "\n",
+        "# The scene image\n",
         "scene_image = cv2.imread(scene_image_path)\n",
         "\n",
         "# Define a resolution scale (influence speed)\n",
@@ -269,13 +269,14 @@
         "tmpl2_lines = detect_lines(tmpl2_image)*scale\n",
         "scene_lines = detect_lines(scene_image)*scale\n",
         "\n",
-        "# Define a template for multiple scales\n",
+        "# Define a template for multiple scales, use only if you need to be scale invariant\n",
+        "# as it increase the search space and decrease speed\n",
         "templates1 = [tmpl1_lines * scale for scale in np.linspace(0.1, 0.8, 25)]\n",
         "templates2 = [tmpl2_lines * scale for scale in np.linspace(0.3, 1, 20)]\n",
         "all_templates = templates1 + templates2\n",
         "\n",
         "# Perform template matching using OpenFDCM\n",
-        "max_tmpl_lines, max_scene_lines = 3, 10  # Combinatory search parameters.\n",
+        "max_tmpl_lines, max_scene_lines = 3, 10  # Combinatory search parameters, the greater deetctions the better but slower.\n",
         "depth = 30              # The [0, pi] discretization.\n",
         "scene_padding = 1.0     # A ratio to pad the scene images used in the FDCM algorithm, use if best match may appear on image boundaries.\n",
         "coeff = 5.0             # A weighting factor to enhance the angular cost vs distance cost in FDCM algorithm.\n",