Update app.py

app.py

@@ -22,11 +22,11 @@ def predict_image(img, conf_threshold, iou_threshold, model_name):
     )
 
     for r in results:
-        im_array1 = r.plot(img=img.copy(), labels=False, line_width=2)
+        im_array1 = r.plot(img=img.copy(), labels=False, line_width=4)
         im1 = Image.fromarray(im_array1[..., ::-1])
 
     for r in results:
-        im_array2 = r.plot(img=img.copy(), line_width=2)
+        im_array2 = r.plot(img=img.copy(), line_width=4, font_size=10)
         im2 = Image.fromarray(im_array2[..., ::-1])
     
     # Calculate the dimensions for the output image
@@ -34,7 +34,7 @@ def predict_image(img, conf_threshold, iou_threshold, model_name):
     total_width = im1.width
 
     # Create a blank image with the combined height
-    im = Image.new("RGB", (total_width, total_height))
+    im = Image.new("BGR", (total_width, total_height))
 
     # Paste the images one above the other
     im.paste(im1, (0, 0))
@@ -53,10 +53,10 @@ iface = gr.Interface(
     ],
     outputs=gr.Image(type="pil", label="Result"),
     title="RC Race Vision YOLO11 Gradio Application 🚀",
-    description="Upload images of RC Race Cars for inference. Currently supports 1/8th Buggies, and 1/10th Scale Buggies, Stadium Trucks, and Short Course Trucks. Not intended to work with close-up shots, works better on a wide view of the cars on a track.",
+    description="Upload images of RC Race Cars for inference. \nCurrently supports 1/8th Buggies, and 1/10th Scale Buggies, Stadium Trucks, and Short Course Trucks.\nNot intended to work with close-up shots, works better on a wide view of the cars on a track.",
     examples=[
-        # ["rc1.jpg", 0.25, 0.45],
-        # ["rc2.jpg", 0.25, 0.45],
+        ["rc1.jpg", 0.25, 0.8],
+        ["rc2.jpg", 0.25, 0.8],
     ],
 )
 iface.launch(share=True)