new example fix

Author: Koldim2001

examples/example_patch_based_inference.ipynb

@@ -144,7 +144,7 @@
     "    classes_list=[0, 1, 2, 3, 5, 7],\n",
     "    resize_initial_size=True,\n",
     ")\n",
-    "result = CombineDetections(element_crops, nms_threshold=0.05, match_metric='IOS')"
+    "result = CombineDetections(element_crops, nms_threshold=0.05)"
    ]
   },
   {
@@ -203,7 +203,6 @@
     "    conf=0.5,\n",
     "    iou=0.7,\n",
     "    thickness=8,\n",
-    "    font_scale=1.1,\n",
     "    show_boxes=True,\n",
     "    delta_colors=3,\n",
     "    show_class=False,\n",
@@ -218,7 +217,6 @@
     "    classes_ids=result.filtered_classes_id,\n",
     "    classes_names=result.filtered_classes_names,\n",
     "    thickness=8,\n",
-    "    font_scale=1.1,\n",
     "    show_boxes=True,\n",
     "    delta_colors=3,\n",
     "    show_class=False,\n",
@@ -306,7 +304,7 @@
     "    classes_list=[0, 1, 2, 3, 5, 7],\n",
     "    resize_initial_size=False,\n",
     ")\n",
-    "result = CombineDetections(element_crops, nms_threshold=0.05, match_metric='IOS')\n",
+    "result = CombineDetections(element_crops, nms_threshold=0.05)\n",
     "\n",
     "print('Before nms:')\n",
     "visualize_results(\n",
@@ -399,7 +397,7 @@
     "    classes_list=[0, 1, 2, 3, 5, 7],\n",
     "    resize_initial_size=True,\n",
     ")\n",
-    "result = CombineDetections(element_crops, nms_threshold=0.05, match_metric='IOS')\n",
+    "result = CombineDetections(element_crops, nms_threshold=0.05)\n",
     "\n",
     "print('Basic yolo inference:')\n",
     "visualize_results_usual_yolo_inference(\n",
@@ -410,7 +408,6 @@
     "    iou=0.7,\n",
     "    segment=False,\n",
     "    thickness=8,\n",
-    "    font_scale=1.1,\n",
     "    show_boxes=True,\n",
     "    delta_colors=3,\n",
     "    show_class=False,\n",
@@ -479,7 +476,7 @@
     "    classes_list=[0, 1, 2, 3, 5, 7],\n",
     "    resize_initial_size=True,\n",
     ")\n",
-    "result = CombineDetections(element_crops, nms_threshold=0.5, match_metric='IOS')"
+    "result = CombineDetections(element_crops, nms_threshold=0.5)"
    ]
   },
   {
@@ -539,7 +536,6 @@
     "    iou=0.7,\n",
     "    segment=True,\n",
     "    thickness=8,\n",
-    "    font_scale=1.1,\n",
     "    fill_mask=True,\n",
     "    show_boxes=False,\n",
     "    delta_colors=3,\n",
@@ -557,7 +553,6 @@
     "    classes_names=result.filtered_classes_names,\n",
     "    segment=True,\n",
     "    thickness=8,\n",
-    "    font_scale=1.1,\n",
     "    fill_mask=True,\n",
     "    show_boxes=False,\n",
     "    delta_colors=3,\n",
@@ -593,7 +588,7 @@
     "    classes_list=[0, 1, 2, 3, 5, 7],\n",
     "    resize_initial_size=True,\n",
     ")\n",
-    "result = CombineDetections(element_crops, nms_threshold=0.5, match_metric='IOS')"
+    "result = CombineDetections(element_crops, nms_threshold=0.5)"
    ]
   },
   {
@@ -646,7 +641,6 @@
     "    iou=0.7,\n",
     "    segment=True,\n",
     "    thickness=8,\n",
-    "    font_scale=1.1,\n",
     "    fill_mask=True,\n",
     "    show_boxes=False,\n",
     "    delta_colors=3,\n",
@@ -664,7 +658,6 @@
     "    classes_names=result.filtered_classes_names,\n",
     "    segment=True,\n",
     "    thickness=8,\n",
-    "    font_scale=1.1,\n",
     "    fill_mask=True,\n",
     "    show_boxes=False,\n",
     "    delta_colors=3,\n",
@@ -754,7 +747,7 @@
     "    classes_list=[0, 1, 2, 3, 5, 7],\n",
     "    resize_initial_size=True,\n",
     ")\n",
-    "result = CombineDetections(element_crops, nms_threshold=0.25, match_metric='IOS')\n",
+    "result = CombineDetections(element_crops, nms_threshold=0.25)\n",
     "\n",
     "print('Basic rtdetr inference:')\n",
     "visualize_results_usual_yolo_inference(\n",
@@ -890,7 +883,7 @@
     "    iou=0.8,\n",
     "    resize_initial_size=True,\n",
     ")\n",
-    "result = CombineDetections(element_crops, nms_threshold=0.40, match_metric='IOS')\n",
+    "result = CombineDetections(element_crops, nms_threshold=0.40)\n",
     "\n",
     "print('Basic FastSAM inference:')\n",
     "visualize_results_usual_yolo_inference(\n",
@@ -1034,9 +1027,10 @@
     "    imgsz=416,\n",
     "    classes_list=[0, 1, 2, 3, 5, 7],\n",
     "    resize_initial_size=True,\n",
-    "    memory_optimize=False\n",
+    "    memory_optimize=False,\n",
+    "    inference_extra_args={'retina_masks':True}\n",
     ")\n",
-    "result = CombineDetections(element_crops, nms_threshold=0.5, match_metric='IOS')\n",
+    "result = CombineDetections(element_crops, nms_threshold=0.5)\n",
     "\n",
     "print('YOLO-Patch-Based-Inference:')\n",
     "visualize_results(\n",
@@ -1048,7 +1042,6 @@
     "    classes_names=result.filtered_classes_names,\n",
     "    segment=True,\n",
     "    thickness=6,\n",
-    "    font_scale=1.1,\n",
     "    fill_mask=True,\n",
     "    show_boxes=False,\n",
     "    delta_colors=3,\n",
@@ -1129,7 +1122,6 @@
     "    masks=element_crops.crops[i].detected_masks,\n",
     "    segment=True,\n",
     "    thickness=1,\n",
-    "    font_scale=1.2,\n",
     "    fill_mask=True,\n",
     "    show_boxes=True,\n",
     "    delta_colors=3,\n",
@@ -1145,7 +1137,6 @@
     "    masks=element_crops.crops[i].detected_masks_real,\n",
     "    segment=True,\n",
     "    thickness=1,\n",
-    "    font_scale=1.2,\n",
     "    fill_mask=True,\n",
     "    show_boxes=True,\n",
     "    delta_colors=3,\n",