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@@ -8,4 +8,44 @@ tags:
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  - object-detect
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  - yolo11
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  - yolov11
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - object-detect
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  - yolo11
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  - yolov11
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+ ---
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+
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+ ## How to Use
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+
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+ To use this model in your project, follow the steps below:
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+
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+ ### 1. Installation
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+
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+ Ensure you have the `ultralytics` library installed, which is used for YOLO models:
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+
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+ ```bash
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+ pip install ultralytics
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+ ```
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+
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+ ### 2. Load the Model
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+
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+ You can load the model and perform detection on an image as follows:
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+ ```python
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+ from ultralytics import YOLO
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+
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+ # Load the model
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+ model = YOLO("./falldetect-11x.pt")
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+
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+ # Perform detection on an image
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+ results = model("image.png")
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+
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+ # Display or process the results
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+ results.show() # This will display the image with detected objects
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+ ```
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+
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+ ### 3. Model Inference
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+ The results object contains bounding boxes, labels (e.g., numbers or operators), and confidence scores for each detected object.
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+
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+ Access them like this:
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+
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+ ```python
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+ for result in results:
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+ print(result.boxes) # Bounding boxes
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+ print(result.names) # Detected classes
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+ print(result.scores) # Confidence scores
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+ ```