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interfaz.py provides a lightweight Tkinter GUI that wraps all three detection scripts — image, video, and webcam — in a single window. Instead of memorizing command-line flags or keeping multiple terminal sessions open, you can select a mode, optionally enter an image directory path, and click a button to launch detection. The window stays open between runs, so switching between modes is straightforward.

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Launching the Interface

Run the following command from the project root: 
python interfaz.py
When interfaz.py starts, it immediately executes os.system('python ejemplo.py') before the Tkinter window appears. This call runs unconditionally at module load time. If ejemplo.py is not present in the project root, the system call will silently fail and the GUI will continue to open normally.

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Window Layout

The Tkinter window is titled “Proyecto” and contains four interactive elements arranged in a compact grid.
ElementPositionDescription
lblInfo1 — “Detección de Placas”Row 0, Column 1 (spans 2 columns)Header label using courier font on an azure background
label2 — “RUTA” + entry2Row 1, Columns 0–1Label and text entry for the image directory path (IMAGEN mode only)
Radio buttons: IMAGEN / VIDEO / CAMARARow 2, Columns 0–2Select the detection mode (values 1, 2, 3 respectively)
btn — “PRUEBA”Row 1, Column 3Triggers detection by calling clicked()

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Using the Interface

1

Select a detection mode

Click one of the three radio buttons in the bottom row of the window:
  • IMAGEN (value 1) — run detection on .jpg files in a directory
  • VIDEO (value 2) — run detection on prueba.mp4
  • CAMARA (value 3) — run real-time detection from your webcam
2

Enter a path (IMAGEN mode only)

If you selected IMAGEN, type the full path to your images directory in the RUTA text field. This path is passed directly to Object_detection_image.py as the --ruta argument. If you leave the field empty, the script will scan the current working directory for .jpg files.This field has no effect when VIDEO or CAMARA is selected.
3

Click PRUEBA

Click the PRUEBA button. This calls clicked(), which reads the selected radio button value and dispatches to the appropriate script via os.system():
def clicked():
   path = str("python Object_detection_image.py --ruta={}".format(entry2.get()))

   if (selected.get()==1):
      os.system(path)
   if (selected.get()==2):
      os.system('python Object_detection_video.py')
   if (selected.get()==3):
      os.system('python Object_detection_webcam.py')
4

View results

The selected detection script launches and opens a new OpenCV window displaying annotated frames with bounding boxes drawn around detected license plates. Press any key to advance frames or images. When detection finishes or the window is closed, control returns to the Tkinter interface.
For VIDEO mode, Object_detection_video.py looks for a file named prueba.mp4 in the same directory as the scripts. Rename your video file to prueba.mp4 and place it in the project root before clicking PRUEBA, otherwise the script will fail to open the video capture.
The RUTA entry field is only meaningful when IMAGEN is selected. When VIDEO or CAMARA is active, clicked() calls those scripts with no arguments and the contents of the RUTA field are completely ignored.
Because clicked() uses os.system() to launch each script, the detection window opens as a separate process while the Tkinter window remains open and responsive. This means you can close the detection window, select a different mode, and click PRUEBA again without restarting the interface.

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