Removed track and updated IOU and Conf threshold

app.py

@@ -202,8 +202,8 @@ with gr.Blocks() as demo:
             image_output = gr.Image(type='pil', label="Output Image", source="upload")
         fps_image = gr.Number(0,label='FPS')
         image_drop = gr.Dropdown(choices=models,value=models[0])
-        image_iou_threshold = gr.Slider(label="IOU Threshold",interactive=True, minimum=0.0, maximum=1.0, value=0.45)
-        image_conf_threshold = gr.Slider(label="Confidence Threshold",interactive=True, minimum=0.0, maximum=1.0, value=0.25)
+        image_iou_threshold = gr.Slider(label="IOU Threshold",interactive=True, minimum=0.0, maximum=1.0, value=0.5)
+        image_conf_threshold = gr.Slider(label="Confidence Threshold",interactive=True, minimum=0.0, maximum=1.0, value=0.6)
         gr.Examples(examples=examples_images,inputs=image_input,outputs=image_output)
         text_button = gr.Button("Detect")
     with gr.Tab("Video"):
@@ -213,20 +213,19 @@ with gr.Blocks() as demo:
             video_output = gr.Video(type="pil", label="Output Video",format="mp4")
         fps_video = gr.Number(0,label='FPS')
         video_drop = gr.Dropdown(label="Model", choices=models,value=models[0])
-        video_iou_threshold = gr.Slider(label="IOU Threshold",interactive=True, minimum=0.0, maximum=1.0, value=0.45)
-        video_conf_threshold = gr.Slider(label="Confidence Threshold",interactive=True, minimum=0.0, maximum=1.0, value=0.25)
+        video_iou_threshold = gr.Slider(label="IOU Threshold",interactive=True, minimum=0.0, maximum=1.0, value=0.5)
+        video_conf_threshold = gr.Slider(label="Confidence Threshold",interactive=True, minimum=0.0, maximum=1.0, value=0.6)
         gr.Examples(examples=examples_videos,inputs=video_input,outputs=video_output)
         with gr.Row():
             video_button_detect = gr.Button("Detect")
-            video_button_track = gr.Button("Track")
     
     with gr.Tab("Compare Models"):
         gr.Markdown("## YOLOv7 vs YOLOv8 Object detection comparision")
         with gr.Row():
             image_comp_input = gr.Image(type='pil', label="Input Image", source="upload")
         with gr.Row():
-            image_comp_iou_threshold = gr.Slider(label="IOU Threshold",interactive=True, minimum=0.0, maximum=1.0, value=0.45)
-            image_comp_conf_threshold = gr.Slider(label="Confidence Threshold",interactive=True, minimum=0.0, maximum=1.0, value=0.25)
+            image_comp_iou_threshold = gr.Slider(label="IOU Threshold",interactive=True, minimum=0.0, maximum=1.0, value=0.5)
+            image_comp_conf_threshold = gr.Slider(label="Confidence Threshold",interactive=True, minimum=0.0, maximum=1.0, value=0.6)
         text_comp_button = gr.Button("Detect")
         with gr.Row():
             image_comp_output_v7 = gr.Image(type='pil', label="YOLOv7 Output Image", source="upload")
@@ -243,8 +242,8 @@ with gr.Blocks() as demo:
             videotr_output = gr.Video(type="pil", label="Output Video",format="mp4")
         fpstr_video = gr.Number(0,label='FPS')
         tracking_drop = gr.Dropdown(choices=trackers,value=trackers[0], label="Select the tracking method")
-        videotr_iou_threshold = gr.Slider(label="IOU Threshold",interactive=True, minimum=0.0, maximum=1.0, value=0.45)
-        videotr_conf_threshold = gr.Slider(label="Confidence Threshold",interactive=True, minimum=0.0, maximum=1.0, value=0.25)
+        videotr_iou_threshold = gr.Slider(label="IOU Threshold",interactive=True, minimum=0.0, maximum=1.0, value=0.5)
+        videotr_conf_threshold = gr.Slider(label="Confidence Threshold",interactive=True, minimum=0.0, maximum=1.0, value=0.6)
         gr.Examples(examples=examples_videos,inputs=videotr_input,outputs=videotr_output)
         video_button_track = gr.Button("Track")