[UPD] update readme

README.md

@@ -14,18 +14,24 @@ RetailTree is a Python library designed for efficient management and querying of
 
 You can install retailTree via pip:
 
-```
+```python
 pip install retailtree
 ```
 
 # Usage
 
-```
-# Import necessary modules and functions
+### Import necessary modules and functions
+
+```python
+# Imports
 from retailtree import RetailTree, Annotation
 from retailtree.utils.dist_func import manhattan, euclidean
 import json
+```
 
+### Method 1: Annotation Creation via File Import
+
+```python
 # Define the path to the JSON file containing annotations
 file_path = './tests/test_data/test_data.json'
 
@@ -42,21 +48,46 @@ for ann in annotations:
     ann_obj = Annotation(id=ann['id'], x_min=ann['x_min'], y_min=ann['y_min'], x_max=ann['x_max'], y_max=ann['y_max'])
     # Add the created Annotation object to the RetailTree
     rt.add_annotation(ann_obj)
+```
+
+# OR
+
+### Method 2: Manual Annotation Creation
+
+```python
+# Create annotation object
+ann1 = Annotation(id=1, x_min=2, y_min=1, x_max=3, y_max=2)
+ann2 = Annotation(id=2, x_min=1, y_min=2, x_max=2, y_max=3)
+ann3 = Annotation(id=3, x_min=2, y_min=2, x_max=3, y_max=3)
+ann4 = Annotation(id=4, x_min=3, y_min=2, x_max=4, y_max=3)
+ann5 = Annotation(id=5, x_min=2, y_min=3, x_max=3, y_max=4)
+annotations = [ann1, ann2, ann3, ann4, ann5]
+
+# Create retailtree object
+rt = RetailTree()
+
+# Adding annotations to retailtree
+for ann in annotations:
+  rt.add_annotation(ann)
+```
+
+## Operations
+
+### Retail Tree Operation
 
-# Build the spatial tree structure using the euclidean distance function
+```python
+# Build the retail tree structure using the euclidean distance function
 rt.build_tree(dist_func=euclidean)
 
-# Retrieve and print annotations within a radius of 1 from the annotation with id=3
+# Retrieve and print annotations within a radius.
 print(rt.neighbors(id=3, radius=1))
 
-# Retrieve and print the Top, Bottom, Left, and Right neighboring annotations
-# of the annotation with id=3 within a radius of 1 and a minimum overlap of 0.5
+# Retrieve and print the Top, Bottom, Left, and Right neighboring annotations.
 print(rt.TBLR(id=3, radius=1, overlap=0.5))
 
-# Retrieve and print neighboring annotations of the annotation with id=3
-# within a radius of 1 and angle range from 0 to 180 degrees
-print(rt.neighbors_wa(id=3, radius=1, amin=0, amax=180))
+# Retrieve and print neighboring annotations of the annotation.
+print(rt.neighbors_wa(id=3, radius=2, amin=0, amax=180))
 
-# Retrieve and print the coordinates of the annotation with id=3
+# Retrieve and print the coordinates of the annotation.
 print(rt.get(id=3).get_coords())
 ```