update demo notebooks (#47)

* move gif to resources folder

* update demo images

* add slicing notebook

* update inference notebook

* add slicing notebook url

README.md

@@ -7,7 +7,7 @@
 
 A vision library for performing sliced inference on large images/small objects
 
-<img width="700" alt="teaser" src="./demo/sliced_inference.gif">
+<img width="700" alt="teaser" src="./resources/sliced_inference.gif">
 
 ## Overview
 
@@ -94,6 +94,8 @@ coco_dict, coco_path = slice_coco(
 )
 ```
 
+Refer to [slicing notebook](demo/slicing.ipynb) for detailed usage.
+
 ## Scripts
 
 Find detailed info on script usage (predict, coco2yolov5, coco_error_analysis) at [SCRIPTS.md](docs/SCRIPTS.md).

demo/demo_data/terrain2_coco.json

@@ -0,0 +1,144 @@
+{
+    "images": [
+        {
+            "height": 682,
+            "width": 1024,
+            "id": 1,
+            "file_name": "terrain2.png"
+        }
+    ],
+    "categories": [
+        {
+            "supercategory": "car",
+            "id": 1,
+            "name": "car"
+        }
+    ],
+    "annotations": [
+        {
+            "iscrowd": 0,
+            "image_id": 1,
+            "bbox": [
+                218.0,
+                448.0,
+                222.0,
+                161.0
+            ],
+            "segmentation": [
+                [
+                    218.0,
+                    448.0,
+                    440.0,
+                    448.0,
+                    440.0,
+                    609.0,
+                    218.0,
+                    609.0
+                ]
+            ],
+            "category_id": 1,
+            "id": 1,
+            "area": 698368
+        },
+        {
+            "iscrowd": 0,
+            "image_id": 1,
+            "bbox": [
+                501.0,
+                451.0,
+                121.0,
+                92.0
+            ],
+            "segmentation": [
+                [
+                    501.0,
+                    451.0,
+                    622.0,
+                    451.0,
+                    622.0,
+                    543.0,
+                    501.0,
+                    543.0
+                ]
+            ],
+            "category_id": 1,
+            "id": 2,
+            "area": 698368
+        },
+        {
+            "iscrowd": 0,
+            "image_id": 1,
+            "bbox": [
+                634.0,
+                437.0,
+                81.0,
+                56.0
+            ],
+            "segmentation": [
+                [
+                    634.0,
+                    437.0,
+                    715.0,
+                    437.0,
+                    715.0,
+                    493.0,
+                    634.0,
+                    493.0
+                ]
+            ],
+            "category_id": 1,
+            "id": 3,
+            "area": 698368
+        },
+        {
+            "iscrowd": 0,
+            "image_id": 1,
+            "bbox": [
+                725.0,
+                423.0,
+                70.0,
+                51.0
+            ],
+            "segmentation": [
+                [
+                    725.0,
+                    423.0,
+                    795.0,
+                    423.0,
+                    795.0,
+                    474.0,
+                    725.0,
+                    474.0
+                ]
+            ],
+            "category_id": 1,
+            "id": 4,
+            "area": 698368
+        },
+        {
+            "iscrowd": 0,
+            "image_id": 1,
+            "bbox": [
+                791.0,
+                404.0,
+                40.0,
+                47.0
+            ],
+            "segmentation": [
+                [
+                    791.0,
+                    404.0,
+                    831.0,
+                    404.0,
+                    831.0,
+                    451.0,
+                    791.0,
+                    451.0
+                ]
+            ],
+            "category_id": 1,
+            "id": 5,
+            "area": 698368
+        }
+    ]
+}

demo/inference.ipynb

@@ -94,7 +94,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "image_dir = \"demo/image_dir/small-vehicles1.jpeg\"\n",
+    "image_dir = \"demo/demo_data/small-vehicles1.jpeg\"\n",
     "image = read_image(image_dir)"
    ]
   },