Trissotech library
Project description
Trissotech
En esta librería se encuentran las utilidades de la empresa Trissotech
pip install Trissotech
Trissotech.API:
- yolo_fire_prediction: Función para detectar incendios en imágenes utilizando un modelo YOLO.
- yolo_fire_prediction()
Para ejecutar este proyecto, se deben seguir los siguientes pasos:
Ejemplo de aplicación
Código:
# URL de la API
url_endpoint = 'endpoint:puerto'
# Ruta de la imagen que deseas enviar
image_path_fire = '/path/al/archivo.jpg'
# Ruta donde deseas recibir la imagen procesada
image_path_download = '/path/a/carpeta'
predicciones, posiciones = yolo_fire_prediction(url_endpoint, image_path_fire, image_path_download, save_img = True, verbose=True)
Esto devuelve por consola:
>> Cargando quema_controlada132.jpg
>> El servidor recibió la imagen correctamente. Procesando... Id de tarea: 8008e8b8-bcfd-4dd3-b648-5a012e909bf2
>> Obteniendo imagen procesada, espere
>> Imagen guardada en: ../notebooks/quema_controlada132.jpg_predicted_at_19_58_13.jpg
>> Imagen procesada con éxito. 19:58:13
>> Detecciones realizadas: Detección: Fuego
>> [['humo', 11, 284, 210, 124], ['humo', 72, 213, 925, 214], ['humo', 999, 352, 97, 76], ['humo', 105, 346, 123, 70]]
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