yolov9-seg example

Koldim2001 · Apr 27, 2024 · 961d5b6 · 961d5b6
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 This library facilitates various visualizations of inference results from ultralytics segmentation/detection models, including cropping with overlays, as well as **a patch-based inference algorithm enabling the detection of small objects in images**. It caters to both object detection and instance segmentation tasks.
 
-**Model Support**: The library offers support for multiple ultralytics deep learning models, such as YOLOv8, YOLOv9, SAM, and RTDETR. Users can select from pre-trained options or utilize custom-trained models to best meet their task requirements.
+**Model Support**: The library offers support for multiple ultralytics deep learning models, such as YOLOv8, YOLOv8-seg, YOLOv9, YOLOv9-seg, FastSAM, and RTDETR. Users can select from pre-trained options or utilize custom-trained models to best meet their task requirements.
 
 ## Installation
 You can install the library via pip:

diff --git a/examples/example_patch_based_inference.ipynb b/examples/example_patch_based_inference.ipynb