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@@ -30,7 +30,7 @@ Example of using various functions for visualizing basic YOLOv8/v9 inference res
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## Usage
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### 1. Patch-Based-Inference
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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.
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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.
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The output obtained from the process includes several attributes that can be leveraged for further analysis or visualization:
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