add crop

app.py

@@ -42,7 +42,7 @@ def execute_text_recognition_tflite( boxes, frame, interpreter, input_details, o
     license_plate = text
     text[:3].replace("0",'O')
 
-    return text
+    return text,cv2.resize(save_frame,(94.42))
 
 def greet(image):
     resized = cv2.resize(image, (320,320), interpolation=cv2.INTER_AREA)
@@ -62,12 +62,13 @@ def greet(image):
     # For index and confidence value of the first class [0]
     for i, confidence in enumerate(output_data[0]):
         if confidence > .3:
-            text = execute_text_recognition_tflite(
+            text, crop = execute_text_recognition_tflite(
                 boxes[0][i], image,
                 recog_interpreter, recog_input_details, recog_output_details,
             )
-            return text
+            return text, crop
 image = gr.inputs.Image(shape=(1920,1080))
+output_image = gr.inputs.Image(shape=(94,24))
 
 
 title = "Automatic licence plate detection and recognition"
@@ -78,7 +79,7 @@ article = "<p style='text-align: center'><a href='https://ieeexplore.ieee.org/do
 iface = gr.Interface(
     fn=greet,
     inputs=image,
-    outputs="text",
+    outputs=["text",output_image],
     title = title,
     description = description,
     article=article,