Upload 3 files

.gitattributes

@@ -46,3 +46,5 @@ yolov9/runs/detect/yolov9_c_640_detect2/a.mp4 filter=lfs diff=lfs merge=lfs -tex
 yolov9/runs/detect/yolov9_c_640_detect3/b.mp4 filter=lfs diff=lfs merge=lfs -text
 a.mp4 filter=lfs diff=lfs merge=lfs -text
 b.mp4 filter=lfs diff=lfs merge=lfs -text
+cut_a_2.mp4 filter=lfs diff=lfs merge=lfs -text
+cut_b_1.mp4 filter=lfs diff=lfs merge=lfs -text

app.py

@@ -32,10 +32,20 @@ with gr.Blocks() as demo:
             img_input = [gr.PlayableVideo(label="Input Image", autoplay=True,  width=300, height=300)]
             pred_outputs = [gr.PlayableVideo(label="Output Image",width=640, autoplay=True, height=640)]
         
-        image_button = gr.Button("Predict")
-        image_button.click(inference, inputs=img_input, outputs=pred_outputs)
+        gr.Markdown("## Examples")
+
+        with gr.Row(): 
+            gr.Examples([ 'cut_a_2.mp4',
+                            'cut_b_1.mp4'
+                         ], 
+                        inputs=img_input, fn=inference)
+        
+            image_button = gr.Button("Predict")
+            image_button.click(inference, inputs=img_input, outputs=pred_outputs)
 
     with gr.Tab("Image"):
+        
+        
         gr.Markdown(
             """
             Upload image file and detect vehicles present in the image
@@ -44,9 +54,43 @@ with gr.Blocks() as demo:
         with gr.Row():
             img_input = [gr.Image(type="filepath",label="Input Image",width=300, height=300)]
             pred_outputs = [gr.Image(label="Output Image",width=640, height=640)]
+
+        gr.Markdown("## Examples")
+
+        with gr.Row(): 
+            gr.Examples([ 'lamborghini-aventador-2932196_1280.jpg', 
+                         '0KL1ICR33YYZ.jpg',
+                         '0RVD53V60NOM.jpg',
+                         '0RW4I2NTAH8K.jpg',
+                         '1CSLEJ2UJD3G.jpg',
+                         '1E4CD5K13UXO.jpg',
+                         '2.jpg',
+                         '3BXRTQZ70A7M.jpg',
+                         '3GVLVIQ2J4P2.jpg',
+                         '3RIYE11PE0VK.jpg',
+                         '4AS6VDRS3Y07.jpg',
+                         '4DM206U83T3B.jpg',
+                         '05U2U2R2K6DN.jpg',
+                         '6LBV93O0MWUY.jpg',
+                         '6MFW23QQFW3E.jpg',
+                         '6V4OYHB47QOX.jpg',
+                         '6VOUS49LKRLI.jpg',
+                         '6VOUS49LKRLI.jpg',
+                         '7L1KFQDNLCBY.jpg',
+                         '23BNPRMYV2RT.jpg',
+                         '24IHCQ74TBML.jpg',
+                         '38EE8ZBTSGD1.jpg',
+
+                         '05U2U2R2K6DN.jpg',
+                         '0KL1ICR33YYZ.jpg'
+                         
+                         
+                         ], 
+                        inputs=img_input, fn=inference)
+            image_button = gr.Button("Predict")
+            image_button.click(inference, inputs=img_input, outputs=pred_outputs)
+
         
-        image_button = gr.Button("Predict")
-        image_button.click(inference, inputs=img_input, outputs=pred_outputs)
 
 
 

cut_a_2.mp4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4b91219aff423ce2535abf2c53ee82e6d42492ad63d472a45f98560318bf29cf
+size 6077990

cut_b_1.mp4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:29e414517db0b5a30675f9f2a91ef6e97b4ec2bd0fb1279ca03f14a0b5148c3b
+size 4129109