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  1. .gitattributes +35 -35
  2. README.md +13 -12
  3. app.py +24 -0
  4. requirements.txt +3 -0
  5. yolov8_background1k_best.pt +3 -0
  6. yolov8n_best.pt +3 -0
  7. yolov8s_baseline.pt +3 -0
  8. yolov8s_best.pt +3 -0
.gitattributes CHANGED
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+ *.pickle filter=lfs diff=lfs merge=lfs -text
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+ *.safetensors filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md CHANGED
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- ---
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- title: '123'
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- emoji: 馃敟
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- colorFrom: green
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- colorTo: purple
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- sdk: gradio
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- sdk_version: 5.9.1
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- app_file: app.py
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- pinned: false
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- ---
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-
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
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+ ---
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+ title: Gun Detect
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+ emoji: 馃殌
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+ colorFrom: yellow
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+ colorTo: yellow
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+ sdk: gradio
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+ app_file: app.py
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+ pinned: false
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+ license: mit
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+ ---
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+
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+ # Gun Detect
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+ Este proyecto utiliza YOLOv8 para la detecci贸n de armas en im谩genes en tiempo real. Sube una imagen para probar el modelo en acci贸n.
app.py ADDED
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+ from ultralytics import YOLO
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+ import gradio as gr
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+ from PIL import Image
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+
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+ # Cargar el modelo YOLOv8
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+ model = YOLO("yolov8_background1k_best.pt")
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+
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+ # Definir la funci贸n de predicci贸n
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+ def predict(image):
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+ results = model(image) # Realizar la predicci贸n con YOLOv8
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+ return results[0].plot() # Devuelve la imagen con las detecciones
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+
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+ # Configurar la interfaz de Gradio
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+ interface = gr.Interface(
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+ fn=predict,
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+ inputs=gr.Image(type="pil"),
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+ outputs="image",
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+ title="Gun Detect 馃殌",
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+ description="Sube una imagen para detectar armas utilizando YOLOv8.",
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+ )
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+
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+ # Ejecutar la app
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+ if __name__ == "__main__":
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+ interface.launch()
requirements.txt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ ultralytics
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+ gradio
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+ pillow
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