Spaces:
				
			
			
	
			
			
		Sleeping
		
	
	
	
			
			
	
	
	
	
		
		
		Sleeping
		
	Update app.py
Browse filesFixed the Variable Frame issue
    	
        app.py
    CHANGED
    
    | @@ -2,40 +2,57 @@ import gradio as gr | |
| 2 | 
             
            import cv2
         | 
| 3 | 
             
            import time
         | 
| 4 | 
             
            import os
         | 
| 5 | 
            -
            from services.video_service import  | 
| 6 | 
             
            from services.thermal_service import detect_thermal_anomalies
         | 
| 7 | 
             
            from services.overlay_service import overlay_boxes
         | 
| 8 | 
             
            from services.metrics_service import update_metrics
         | 
| 9 |  | 
|  | |
| 10 | 
             
            paused = False
         | 
| 11 | 
            -
            frame_rate = 1 | 
| 12 |  | 
|  | |
|  | |
|  | |
|  | |
| 13 | 
             
            def monitor_feed():
         | 
| 14 | 
             
                global paused
         | 
|  | |
|  | |
|  | |
| 15 | 
             
                if paused:
         | 
| 16 | 
            -
                     | 
| 17 | 
            -
             | 
| 18 | 
            -
             | 
|  | |
|  | |
|  | |
|  | |
| 19 | 
             
                    detected_boxes = detect_thermal_anomalies(frame)
         | 
| 20 | 
             
                    frame = overlay_boxes(frame, detected_boxes)
         | 
|  | |
| 21 | 
             
                    metrics = update_metrics(detected_boxes)
         | 
| 22 | 
            -
             | 
|  | |
|  | |
|  | |
| 23 |  | 
| 24 | 
            -
                return frame[:, :, ::-1],  | 
| 25 |  | 
|  | |
| 26 | 
             
            with gr.Blocks() as app:
         | 
| 27 | 
            -
                gr.Markdown("#  | 
| 28 |  | 
| 29 | 
             
                with gr.Row():
         | 
| 30 | 
             
                    with gr.Column(scale=3):
         | 
| 31 | 
            -
                        video_output = gr.Image(label="Live Video Feed", elem_id="video-feed")
         | 
| 32 | 
             
                    with gr.Column(scale=1):
         | 
| 33 | 
            -
                        metrics_output = gr.Label(label=" | 
| 34 |  | 
| 35 | 
             
                with gr.Row():
         | 
| 36 | 
             
                    pause_btn = gr.Button("⏸️ Pause")
         | 
| 37 | 
             
                    resume_btn = gr.Button("▶️ Resume")
         | 
| 38 | 
            -
                    frame_slider = gr.Slider(0. | 
| 39 |  | 
| 40 | 
             
                def toggle_pause():
         | 
| 41 | 
             
                    global paused
         | 
| @@ -55,8 +72,7 @@ with gr.Blocks() as app: | |
| 55 |  | 
| 56 | 
             
                def streaming_loop():
         | 
| 57 | 
             
                    while True:
         | 
| 58 | 
            -
                         | 
| 59 | 
            -
                        yield frame, metrics
         | 
| 60 | 
             
                        time.sleep(frame_rate)
         | 
| 61 |  | 
| 62 | 
             
                app.load(streaming_loop, outputs=[video_output, metrics_output])
         | 
|  | |
| 2 | 
             
            import cv2
         | 
| 3 | 
             
            import time
         | 
| 4 | 
             
            import os
         | 
| 5 | 
            +
            from services.video_service import get_next_video_frame
         | 
| 6 | 
             
            from services.thermal_service import detect_thermal_anomalies
         | 
| 7 | 
             
            from services.overlay_service import overlay_boxes
         | 
| 8 | 
             
            from services.metrics_service import update_metrics
         | 
| 9 |  | 
| 10 | 
            +
            # Globals
         | 
| 11 | 
             
            paused = False
         | 
| 12 | 
            +
            frame_rate = 1
         | 
| 13 |  | 
| 14 | 
            +
            # Constants
         | 
| 15 | 
            +
            TEMP_IMAGE_PATH = "temp.jpg"
         | 
| 16 | 
            +
             | 
| 17 | 
            +
            # Core monitor function
         | 
| 18 | 
             
            def monitor_feed():
         | 
| 19 | 
             
                global paused
         | 
| 20 | 
            +
             | 
| 21 | 
            +
                frame = None
         | 
| 22 | 
            +
             | 
| 23 | 
             
                if paused:
         | 
| 24 | 
            +
                    if os.path.exists(TEMP_IMAGE_PATH):
         | 
| 25 | 
            +
                        frame = cv2.imread(TEMP_IMAGE_PATH)
         | 
| 26 | 
            +
             | 
| 27 | 
            +
                if frame is None:
         | 
| 28 | 
            +
                    frame = get_next_video_frame()
         | 
| 29 | 
            +
             | 
| 30 | 
            +
                if not paused:
         | 
| 31 | 
             
                    detected_boxes = detect_thermal_anomalies(frame)
         | 
| 32 | 
             
                    frame = overlay_boxes(frame, detected_boxes)
         | 
| 33 | 
            +
                    cv2.imwrite(TEMP_IMAGE_PATH, frame)
         | 
| 34 | 
             
                    metrics = update_metrics(detected_boxes)
         | 
| 35 | 
            +
                else:
         | 
| 36 | 
            +
                    metrics = update_metrics([])
         | 
| 37 | 
            +
             | 
| 38 | 
            +
                frame = cv2.resize(frame, (640, 480))  # Resize frame to fixed window size
         | 
| 39 |  | 
| 40 | 
            +
                return frame[:, :, ::-1], metrics  # BGR to RGB
         | 
| 41 |  | 
| 42 | 
            +
            # Gradio UI
         | 
| 43 | 
             
            with gr.Blocks() as app:
         | 
| 44 | 
            +
                gr.Markdown("# 🌐 Thermal Anomaly Monitoring Dashboard")
         | 
| 45 |  | 
| 46 | 
             
                with gr.Row():
         | 
| 47 | 
             
                    with gr.Column(scale=3):
         | 
| 48 | 
            +
                        video_output = gr.Image(label="Live Video Feed", elem_id="video-feed", width=640, height=480)
         | 
| 49 | 
             
                    with gr.Column(scale=1):
         | 
| 50 | 
            +
                        metrics_output = gr.Label(label="Live Metrics", elem_id="metrics")
         | 
| 51 |  | 
| 52 | 
             
                with gr.Row():
         | 
| 53 | 
             
                    pause_btn = gr.Button("⏸️ Pause")
         | 
| 54 | 
             
                    resume_btn = gr.Button("▶️ Resume")
         | 
| 55 | 
            +
                    frame_slider = gr.Slider(0.2, 5, value=1, label="Frame Interval (seconds)")
         | 
| 56 |  | 
| 57 | 
             
                def toggle_pause():
         | 
| 58 | 
             
                    global paused
         | 
|  | |
| 72 |  | 
| 73 | 
             
                def streaming_loop():
         | 
| 74 | 
             
                    while True:
         | 
| 75 | 
            +
                        yield monitor_feed()
         | 
|  | |
| 76 | 
             
                        time.sleep(frame_rate)
         | 
| 77 |  | 
| 78 | 
             
                app.load(streaming_loop, outputs=[video_output, metrics_output])
         | 
