The detect.py is the changed file in the yolov dir which is used by the model to draw bounding boxes on classes as well as write the probability of the particular class . The only difference is that it along with that also gives the index value of the class being detected . So it detects like dog1 ,dog2,cat1,cat3,dog4,cat2 , etc. It gives index value to the class in order to associate the particular bounding box to other objects to extract insights from the image.
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yashpadale/Computer_Vision_Yolov9
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yolov9 trained on custom data to detect objects on floor plan like doors, walls, etc. It als marks them as door1, door2,door3 and so forth.
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