Update app.py

app.py

@@ -37,13 +37,12 @@ def load_model(model_repo_id):
     return detection_model
 
 
-def predict(pilimg,threshold):
+def predict(pilimg):
 
     image_np = pil_image_as_numpy_array(pilimg)
-#     threshold1=threshold
-#     return predict2(image_np,threshold)
+    return predict2(image_np)
 
-# def predict2(image_np,threshold):
+def predict2(image_np):
 
     results = detection_model(image_np)
 
@@ -61,7 +60,7 @@ def predict(pilimg,threshold):
         category_index,
         use_normalized_coordinates=True,
         max_boxes_to_draw=20,
-        min_score_thresh=threshold.astype(float),
+        min_score_thresh=0.6),
         agnostic_mode=False,
         line_thickness=2)
 
@@ -173,7 +172,7 @@ test12 = os.path.join(os.path.dirname(__file__), "data/test12.jpeg")
 
 base_image = gr.Interface(
     fn=predict,
-    inputs=[gr.Image(type="pil"),gr.Slider(minimum=0.01, maximum=0.99, value=0.5, step=0.05 ,label="Threshold",info="to set prediction confidence threshold")],
+    inputs=[gr.Image(type="pil"),gr.Slider(minimum=0.01, maximum=0.99, value=0.6 ,label="Threshold(WIP)",info="[not in used]to set prediction confidence threshold")],
     outputs=gr.Image(type="pil"),
     title="Luffy and Chopper face detection (Base mobile net model)",
     description="Upload a Image for prediction or click on below examples",