added flag to not plot kpts

.gitignore

@@ -0,0 +1 @@
+/LAEO_demo_data/

app.py

@@ -25,7 +25,7 @@ def load_image(camera, ):
         return False, None
 
 
-def demo_play(img, laeo=True, rgb=False):
+def demo_play(img, laeo=True, rgb=False, show_keypoints=True):
     # webcam in use
 
     # gpus = tf.config.list_physical_devices('GPU')
@@ -69,8 +69,9 @@ def demo_play(img, laeo=True, rgb=False):
                             'center_xy': [tdx, tdy]
                             })
 
-    for i in range(len(det)):
-        img = draw_key_points_pose(img, kpt[i])
+    if show_keypoints:
+        for i in range(len(det)):
+            img = draw_key_points_pose(img, kpt[i])
 
     # call LAEO
     clip_uncertainty = 0.5
@@ -118,27 +119,35 @@ if __name__=='__main__':
 
     print("Num GPUs Available: ", len(tf.config.list_physical_devices('GPU')))
 
+    function_to_call = demo_play
+    outputs = "image"
+    live = True
+    title = "Head Pose Estimation and LAEO"
+
+
     demo_webcam = gr.Interface(
-            fn=demo_play,
+            fn=function_to_call,
             inputs=[gr.Image(source="webcam"),  # with no streaming-> acquire images
                     gr.Checkbox(value=True, label="LAEO", info="Compute and display LAEO"),
                     gr.Checkbox(value=False, label="rgb", info="Display output on W/B image"),
+                    gr.Checkbox(value=True, label="show_keypoints", info="Display keypoints on image"),
                     ],
-            outputs="image",
-            live=True,
-            title="Head Pose Estimation and LAEO",
+            outputs=outputs,
+            live=live,
+            title=title,
             description="This is a demo developed by Federico Figari T. at MaLGa Lab, University of Genoa, Italy. You can choose to have only the Head Pose Estimation or also the LAEO computation (more than 1 person should be in the image). You need to take a picture and the algorithm will calculate the Head Pose and will be showed as an arrow on your face. LAEO, instead is showed colouring the arrow in green.",
             )
 
     demo_upload = gr.Interface(
-            fn=demo_play,
+            fn=function_to_call,
             inputs=[gr.Image(source="upload", ),  # with no streaming-> acquire images
                     gr.Checkbox(value=True, label="LAEO", info="Compute and display LAEO"),
                     gr.Checkbox(value=False, label="rgb", info="Display output on W/B image"),
+                    gr.Checkbox(value=True, label="show_keypoints", info="Display keypoints on image"),
                     ],
-            outputs="image",
-            live=True,
-            title="Head Pose Estimation and LAEO",
+            outputs=outputs,
+            live=live,
+            title=title,
             description="This is a demo developed by Federico Figari T. at MaLGa Lab, University of Genoa, Italy. You can choose to have only the Head Pose Estimation or also the LAEO computation (more than 1 person should be in the image). You need to upload an image and the algorithm will calculate the Head Pose and will be showed as an arrow on your face. LAEO, instead is showed colouring the arrow in green.",
             examples=[["LAEO_demo_data/examples/1.jpg"], ["LAEO_demo_data/examples/20.jpg"]]
             )