v1.3.4 update

examples/example_patch_based_inference.ipynb

@@ -157,13 +157,43 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Visualization:"
+    "List of attributes with the results of the inference:"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 4,
    "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Useful attributes: filtered_confidences, filtered_boxes, filtered_classes_id, filtered_classes_names\n",
+      "\n",
+      "filtered_confidences: [0.94044673, 0.90845835, 0.9173525, 0.81130135, 0.8782713, 0.857284, 0.84000665, 0.82260907, 0.86260664, 0.8040603, ...] (length: 24)\n",
+      "filtered_boxes: [[2629, 1532, 2840, 1664], [667, 1570, 768, 1686], [2108, 1134, 2221, 1194], [879, 1390, 951, 1477], [1191, 1440, 1254, 1513], [1574, 965, 1648, 1007], [1121, 1276, 1174, 1330], [562, 1090, 611, 1143], [1389, 903, 1454, 938], [1224, 1273, 1274, 1318], ...] (length: 24)\n",
+      "filtered_classes_id: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, ...] (length: 24)\n",
+      "filtered_classes_names: ['car', 'car', 'car', 'car', 'car', 'car', 'car', 'car', 'car', 'car', ...] (length: 24)\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(result)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Visualization:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",

setup.py

@@ -8,7 +8,7 @@
     long_description = "\n" + fh.read()
 
 
-VERSION = '1.3.3'
+VERSION = '1.3.4'
 DESCRIPTION = '''Patch-Based-Inference for detection/segmentation of small objects in images.'''
 
 setup(