Updated default values

app.py

@@ -52,6 +52,7 @@ def display_false_detection_data(false_detection_data, number_of_samples):
     for i in range(number_of_samples):
         plt.subplot(y_count, x_count, i + 1)
         img = cv2.imread(false_detection_data[i])
+        img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
         plt.imshow(img)
         plt.xticks([])
         plt.yticks([])
@@ -110,11 +111,16 @@ def inference(input_img, conf_thres, iou_thres, is_false_detection_images=True,
 
 title = "YOLOv9 model to detect shirt/tshirt"
 description = "A simple Gradio interface to infer on YOLOv9 model and detect tshirt in image"
-examples = [["image_1.jpg", 0.25, 0.45], ["image_2.jpg", 0.25, 0.45],
-            ["image_3.jpg", 0.25, 0.45], ["image_4.jpg", 0.25, 0.45],
-            ["image_5.jpg", 0.25, 0.45], ["image_6.jpg", 0.25, 0.45],
-            ["image_7.jpg", 0.25, 0.45], ["image_8.jpg", 0.25, 0.45],
-            ["image_9.jpg", 0.25, 0.45], ["image_10.jpg", 0.25, 0.45]]
+examples = [["image_1.jpg", 0.25, 0.45, True, 10],
+            ["image_2.jpg", 0.25, 0.45, True, 10],
+            ["image_3.jpg", 0.25, 0.45, True, 10],
+            ["image_4.jpg", 0.25, 0.45, True, 10],
+            ["image_5.jpg", 0.25, 0.45, True, 10],
+            ["image_6.jpg", 0.25, 0.45, True, 10],
+            ["image_7.jpg", 0.25, 0.45, True, 10],
+            ["image_8.jpg", 0.25, 0.45, True, 10],
+            ["image_9.jpg", 0.25, 0.45, True, 10],
+            ["image_10.jpg", 0.25, 0.45, True, 10]]
 
 demo = gr.Interface(inference, 
                     inputs = [gr.Image(width=320, height=320, label="Input Image"),