changed readme

Author: BelickNicko

patched_yolo_infer/README.md

@@ -27,7 +27,7 @@ Example of using various functions for visualizing basic YOLOv8/v9 inference res
 ## Usage
 
 ### 1. Patch-Based-Inference
-To carry out patch-based inference of YOLO models using our library, you need to follow a sequential procedure. First, you create an instance of the MakeCropsDetectThem class, providing all desired parameters related to YOLO inference and the patch segmentation principle.<br/> Subsequently, you pass the obtained object of this class to CombineDetections, which facilitates the consolidation of all predictions from each overlapping crop, followed by intelligent suppression of duplicates. <br/>Upon completion, you receive the result, from which you can extract the desired outcome of frame processing.
+To carry out patch-based inference of YOLO models using our library, you need to follow a sequential procedure. First, you create an instance of the `MakeCropsDetectThem` class, providing all desired parameters related to YOLO inference and the patch segmentation principle.<br/> Subsequently, you pass the obtained object of this class to `CombineDetections`, which facilitates the consolidation of all predictions from each overlapping crop, followed by intelligent suppression of duplicates. <br/>Upon completion, you receive the result, from which you can extract the desired outcome of frame processing.
 
 The output obtained from the process includes several attributes that can be leveraged for further analysis or visualization: